{"id":1310,"date":"2017-09-14T07:45:24","date_gmt":"2017-09-14T07:45:24","guid":{"rendered":"http:\/\/pecora.asprs.org\/?p=1310"},"modified":"2017-09-21T19:08:02","modified_gmt":"2017-09-21T19:08:02","slug":"plenary-sessions","status":"publish","type":"post","link":"http:\/\/pecora.asprs.org\/pecora20\/plenary-sessions\/","title":{"rendered":"Schedule"},"content":{"rendered":"<p><section class=\"kc-elm kc-css-556559 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-604453 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\"><div class=\"kc-elm kc-css-845737 kc-raw-code\"><style>.thumb1.alignleft {\r\n  max-width: 140px;\r\n}\r\n<\/style><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"kc-elm kc-css-339104 kc_row\"><div class=\"kc-row-container  kc-container\"><div class=\"kc-wrap-columns\"><div class=\"kc-elm kc-css-141638 kc_col-sm-12 kc_column kc_col-sm-12\"><div class=\"kc-col-container\"><div class=\"kc-elm kc-css-901886 kc_text_block\"><\/p>\n<p>Tuesday<\/p>\n<h1>Welcome\/Opening\u00a0Remarks<\/h1>\n<p><strong>Frank P. Kelly,\u00a0<\/strong>Director<em>, USGS EROS Center<\/em><br \/>\n1:00\u00a0pm\u00a0to 2:00\u00a0pm<\/p>\n<h2>Plenary\u00a0Sessions<\/h2>\n<h2>Opening Keynote \u2013 Terrestrial Observations\u2014Finally Coming of Age<\/h2>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"size-full alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2017\/06\/barb_ryan.jpg\" alt=\"\" width=\"135\" height=\"177\" \/><\/h2>\n<p>Barbara J. Ryan, Secretariat Director of the intergovernmental\u00a0<em>Group on Earth Observations (GEO)<\/em><br \/>\nMs. Ryan is the Secretariat Director of the Intergovernmental Group on Earth Observations (GEO) in Geneva, Switzerland. GEO is comprised of 104 Member States, the European Commission, and 109 international scientific and technical partner organizations.\u00a0\u00a0 Since becoming Director of GEO in 2012, Ryan has worked to integrate Earth observation systems from around the world into a single, comprehensive system that uses coordinated data to understand how environmental factors impact human life.\u00a0 Prior to her work at GEO, she was the Associate Director for Geography at the USGS, where she was responsible for the agency\u2019s remote sensing, geography and civilian mapping programmes, including the Landsat satellites. It was during this time she led the effort to change the decade-old Landsat data policy to full and open, an action resulting in more than 42 million scenes being downloaded globally to date. Ryan has served as chair of the international Committee on Earth Observation Satellites, which coordinates information from more than 100 civilian satellite missions, and in 2008, became director of the World Meteorological Organization\u2019s space programme. Ryan has been awarded an honorary doctorate of science degree from SUNY Cortland. She was recently named an Honorary Fellow of the American Geographical Society, and in January 2017, was one of 10 global leaders to be named to the Geospatial World Forum\u2019s Hall of Fame.<\/p>\n<h3>TS #1\u2014Special Session<\/h3>\n<h3>Landsat-derived Global Cropland Products at 30-m (LGCP30)<\/h3>\n<p>Moderators: Prasad Thenkabail,\u00a0<em>U.S. Geological Survey<\/em>\u00a0and Russell Congalton,\u00a0<em>University of New Hampshire<\/em><br \/>\n2:15\u00a0pm\u00a0to 3:45\u00a0pm\u2014Room 1<br \/>\nThis special session will present and discuss the world\u2019s first Landsat-derived 30-m global cropland products @ 30-m (LGCP30). The focus will be on Landsat-derived global cropland extent @ 30-m (LGCE30) (https:\/\/croplands.org\/app\/map). This product maps the entire world\u2019s 1.8 billion hectares of croplands at 30-m resolution. The presentations in the session will discuss methods and approaches used in LGCE30. Cropland mapping algorithms (CMAs) including several machine learning algorithms (MLAs) were used on 2-3 years of 16-day Landsat data cubes to derive LGCE30 using Google Earth Engine (GEE) cloud computing. Cropland areas computed for every country in the world as well as cropland areas of sub-national administrative boundaries will be discussed and compared with conventional statistics. Exhaustive discussions on accuracies, errors, and uncertainties will take place- providing error matrices with overall-producer\u2019s, user\u2019s, and weighted overall accuracies of some 80+ zones of the world.<\/p>\n<p><strong>Global 30-m Cropland Extent Map for the Nominal Year 2015: Derived Using Landsat-8 Time-series Data and Machine Learning Algorithms Computed on Google Earth Engine Cloud<\/strong><br \/>\nPrasad Thenkabail,\u00a0<em>U.S. Geological Survey<\/em><br \/>\n<strong>Evaluating the Performance of Various Sampling Strategies Used to Assess the Accuracy of Large Area Crop Maps<\/strong><br \/>\nRussell Congalton,\u00a0<em>University of New Hampshire<\/em><br \/>\nLinnea Dwyer and Kamini Yadav<br \/>\n<strong>An Automated Crop Intensity Algorithm (ACIA) for Global Cropland Intensity Mapping at Nominal 30-m Using Landsat-8 and Sentinel-2 Time-Series Data and Google Earth Engine<\/strong><br \/>\nJun Xiong,\u00a0<em>U.S. Geological Survey<\/em><br \/>\nPrasad Thenkabail, Pardhasaradhi Teluguntla, Adam Oliphant, Russell Congalton, Murali Krishna Gumma, Kamini Yadav, Richard Massey, and Corryn Smith<br \/>\n<strong>Mapping Cropland Extent and Areas of Australia at 30-m Resolution Using Multi-year Time-series Landsat Data and Random Forest Machine Learning Algorithm Through Google Earth Engine (GEE) Cloud Computing<\/strong><br \/>\nPardhasaradhi Teluguntla,\u00a0<em>U.S. Geological Survey<\/em><br \/>\nPrasad Thenkabail, Jun Xiong, Adam Oliphant, Murali Krishna Gumma, Russell Congalton, Kamini Yadav, Richard Massey, Aparna Phalke, Jim Tilton, and Corryn Smith<br \/>\n<strong>Mapping Croplands of Southeast Asia, Japan, and North and South Korea Using Landsat 30-m Time-Series, Random Forest Algorithm<\/strong><br \/>\nAdam Oliphant,\u00a0<em>U.S. Geological Survey<\/em><br \/>\nPrasad Thenkabail, Pardhasaradhi Teluguntla, Russell Congalton, Kamini Yadav, Murali Krishna Gumma, Jun Xiong, Richard Massey, and Corryn Smiths<\/p>\n<h3><\/h3>\n<h3>TS #2\u2014Special Session<\/h3>\n<h3>Landsat Archive, Product Plans, and Data Continuity<\/h3>\n<h3>Moderator: Jennifer Lacey,\u00a0<em>U.S. Geological Survey<\/em><\/h3>\n<h3>2:15\u00a0pm\u00a0to 3:45\u00a0pm\u2014Room 6<\/h3>\n<p>Landsat represents the world\u2019s longest continuously acquired collection of space-based moderate-resolution land remote sensing data. The Landsat program has taken several actions to expand the USGS archive holdings, further the science use, and ensure Landsat data continuity. Through the Landsat Global Archive Consolidation Project and increased satellite acquisitions, archive holdings have reached over 7 million scenes. This special session includes five topics that provide an archive status, science data product status and plans, and future mission plans for continuing Landsat\u2019s irreplaceable record.<br \/>\n<strong>Ensuring Proper Storage for Earth Science Data Used for Decisions: The USGS Process to Certify Trusted Digital Repositories<\/strong><br \/>\nJohn Faundeen,\u00a0<em>U.S. Geological Survey<\/em><br \/>\nClara Brown and Keith Kirk<br \/>\n<strong>Landsat Archive Status and the Landsat Global Archive Consolidation<\/strong><br \/>\nKristi Kline,\u00a0<em>U.S. Geological Survey<\/em><br \/>\n<strong>Landsat Collections and Future Landsat Standard Product Plans<\/strong><br \/>\nBrian Sauer,\u00a0<em>U.S. Geological Survey<\/em><br \/>\n<strong>Continuity and Improvements with Landsat 9<\/strong><br \/>\nJim Nelson,\u00a0<em>U.S. Geological Survey<\/em><br \/>\n<strong>An Outlook for Sustainable Land Imaging at the USGS Land Remote Sensing Program<\/strong><br \/>\nPeter Doucette,\u00a0<em>U.S. Geological Survey<\/em><\/p>\n<h3>TS #3\u2014Panel Session<\/h3>\n<h3>Creating a Healthy Remote Sensing Education Pipeline:\u00a0 Moving from K-12 to University<\/h3>\n<h3>Moderator: Lindi Quackenbush,\u00a0<em>State University of New York, Environmental Science and Forestry<\/em><\/h3>\n<h3>2:15\u00a0pm\u00a0to 3:45\u00a0pm\u2014Room 8<\/h3>\n<p>The remote sensing field is growing and changing rapidly. \u00a0Deployment of novel sensors requires greater prerequisite knowledge and development of new processing methods. In order to ensure we have a well-trained workforce able to advance this field, we need to create a pipeline of students who can engage in advanced study in remote sensing. \u00a0There are a wide range of activities that can be used to facilitate development of interest and skills at an early level to support advanced undergraduate or graduate study and stimulate interest in remote sensing as both art and science. This session will bring together panelists from members of the AmericaView consortium to present their experiences in a range of pipeline topics including K-12 outreach, service learning, STEM literacy, and curriculum development.<br \/>\nPanelists:<br \/>\nLindi Quackenbush,\u00a0<em>State University of New York, Environmental Science and Forestry<\/em><br \/>\nKen Boykin,\u00a0<em>New Mexico State University<\/em><br \/>\nJames Campbell,\u00a0<em>Virginia Tech<\/em><br \/>\nAmber Imai-Hong,\u00a0<em>Hawaii Space Grant Consortium, University of Hawaii-Manoa<\/em><br \/>\nJB Sharma,\u00a0<em>University of North Georgia<\/em><br \/>\nChandi Witharana,\u00a0<em>University of Connecticut<\/em><br \/>\nBrent Yantis,\u00a0<em>University of Louisiana-Lafayette<\/em><\/p>\n<h3>TS #4\u2014Special Session<\/h3>\n<h3>Great Lakes Remote Sensing<\/h3>\n<h3>Moderator: Brandon Krumwiede,\u00a0<em>The Baldwin Group<\/em><\/h3>\n<h3>2:15\u00a0pm\u00a0to 3:45\u00a0pm\u2014Room 10<\/h3>\n<p>The Great Lakes represents about 20% of the world\u2019s available surface freshwater.\u00a0 When the Polar ice caps and Greenland glaciers melt into the ocean, the percentage approaches 50% (assuming the volume does not change) making the Great Lakes a substantial global resource to manage for future generations.\u00a0 This session will highlight a few unique remote sensing approaches for the Great Lakes Basin which will more accurately characterize changes over time at a sub-meter scale using a variety of sensors.\u00a0 The long-term challenge is how to integrate approaches across borders to provide systematic daily multi-sensor views of the Great Lakes Basin.<br \/>\n<strong>An Overview of the Binational Great Lakes Wetlands Remote Sensing Project<\/strong><br \/>\nBrian Huberty,\u00a0<em>U.S. Fish &amp; Wildlife Service<\/em><br \/>\nBrian Brisco, Sarah Banks, Jennifer Corcoran, Jim Klassen, Keith Pelletier, Paul Morin, Laura Chavez, Mike Battaglia, and Joe Knight<br \/>\n<strong>High Resolution Optical and Radar Mapping and Monitoring of Coastal Great Lakes Wetlands to Inform Wetland Management Decisions<\/strong><br \/>\nLaura Bourgeau-Chavez,\u00a0<em>Michigan Technological University<\/em><br \/>\nMichael Battaglia, Colin Brooks, Brian Huberty, Sarah Endres, and Brian Brisco<br \/>\n<strong>Creating High Temporal Frequency Digital Surface Models in the Great Lakes Basin<\/strong><br \/>\nJames Klassen,\u00a0<em>SharedGeo<\/em><br \/>\n<strong>Dynamic Watercourse Hydrography Updating in Minnesota\u2019s Lake Superior Coastal Watersheds<\/strong><br \/>\nJennifer Corcoran,\u00a0<em>Minnesota Department of Natural Resources<\/em><\/p>\n<h3>TS #5<\/h3>\n<h3>Snow and Ice<\/h3>\n<h3>Moderator: Gabriel Senay,\u00a0<em>U.S. Geological Survey<\/em><\/h3>\n<h3>2:15\u00a0pm\u00a0to 3:45\u00a0pm\u2014Room 11<\/h3>\n<p><strong>Global Land Ice Velocity Extraction (GoLIVE) from Landsat 8 and Sentinel 2a\/b<\/strong><br \/>\nTed Scambos,\u00a0<em>National Snow and Ice Data Center, CIRES, University of Colorado at Boulder<\/em><br \/>\nMark Fahnestock, Alex Gardner, Marin Klinger, Twila Moon, and Terry Haran<br \/>\n<strong>Validation of Landsat 8 OLI and MODIS Aqua Greenland Ice Sheet Surface Reflectance Using Airborne Spectrometry<\/strong><br \/>\nChristopher Crawford,\u00a0<em>U.S. Geological Survey<\/em><br \/>\n<strong>Monitoring the Breakup of Sea Ice in the Beaufort Sea using Multi-Sensor Satellite-derived Time-series Data<\/strong><br \/>\nTracy DeLiberty,\u00a0<em>University of Delaware<\/em><br \/>\n<strong>Hierarchical Knowledge Based Classification (HKBC) on Sentinel-2A Data for Glacier Mapping of Bhaga River Basin, Northwest Himalaya<\/strong><br \/>\nAayushi Pandey,\u00a0<em>Amity Institute of Geoinformatics &amp; Remote Sensing, Amity University, Noida, Uttar Pradesh<\/em><br \/>\nAman Rai, Sharad Gupta, and Dericks Shukla<br \/>\n<strong>Global Snow Cover Trend Analysis using Cloud-based Geospatial Analysis Engine<\/strong><br \/>\nXingong Li,\u00a0<em>University of Kansas<\/em><\/p>\n<h3>TS #6<\/h3>\n<h3>Deforestation and Forest Fragmentation<\/h3>\n<h3>Moderator: Randolph Wynne,\u00a0<em>Virginia Tech<\/em><\/h3>\n<h3>2:15\u00a0pm\u00a0to 3:45\u00a0pm\u2014Room 13<\/h3>\n<p><strong>Implementation of a New Spectral Vegetation Index within Google Earth Engine for Automated Forest Loss Mapping<\/strong><br \/>\nLloyd L. Coulter,\u00a0<em>San Diego State University<\/em><br \/>\nKellie A. Uyeda, and Douglas A. Stow<br \/>\n<strong>Landsat-Scale Trends of Above-Ground Biomass Across Mexico from 1984-2015<\/strong><br \/>\nDamien Sulla-Menashe,\u00a0<em>Boston University<\/em><br \/>\nAlessandro Baccini, Wayne Walker, Curtis Woodcock, and Chris Holden<br \/>\n<strong>Soy Moratorium Impacts on Soybean And Deforestation Dynamics In Mato Grosso, Brazil<\/strong><br \/>\nJude Kastens,\u00a0<em>University of Kansas<\/em><br \/>\nChris Brown, Alex Coutinho, Chris Bishop, and Julio Esquerdo<br \/>\n<strong>Mapping Long-Term Tree Cover Dynamics in Sub-Saharan Africa Using Socio-Ecological Geospatial Data<\/strong><br \/>\nMichael Marshall,\u00a0<em>Department of Natural Resources, University of Twente<\/em><br \/>\n<strong>Remote Sensing Time-Series Analysis of Forest Fragmentation and Connectivity in Virginia<\/strong><br \/>\nIris Fynn,\u00a0<em>Virginia Tech<\/em><br \/>\nJames Campbell<\/p>\n<h3>TS #7\u2014Special Session<\/h3>\n<h3>Evolution of Global Land Cover Mapping: History and New Developments<\/h3>\n<h3>Moderator: Zhiliang Zhu and Brad Reed,\u00a0<em>U.S. Geological Survey<\/em><\/h3>\n<h3>4:00\u00a0pm\u00a0to 5:30\u00a0pm\u2014Room 1<\/h3>\n<p>Land cover maps of the world from paper media to digital formats have been produced over the millennium. These products featured prominently in the development of the world we know today, and the research and development of global land cover maps are still a critical scientific endeavor in our continued effort to understand the world better. In the recent history, a variety of well-known global land cover maps or databases have been developed using advanced remote sensing methods, which having given the scientific community important lessons learned from the development of the products and findings from applications of the land cover information. This session is designed as a unique forum for scientists who have played a role in developing and advancing the field of global land cover mapping to review the history of the development, highlight recent achievements, discuss key issues and knowledge gaps still facing us today, and providing outlooks for future science needs. The audience will learn about global land cover mapping history, recent developments, theoretical treatments, methodology reviews, applications, and global collaborations.<br \/>\n<strong>Reflections on the IGBP DISCover Global Land Cover Project<\/strong><br \/>\nThomas Loveland,\u00a0<em>U.S. Geological Survey<\/em><br \/>\nJesslyn Brown, Bradley Reed, Zhiliang Zhu, Limin Yang, and Donald Ohlen<br \/>\n<strong>Landsat Gone Global, Going Global, Still Going\u2026<\/strong><br \/>\nAlan Belward,\u00a0<em>Joint Research Centre, European Commission<\/em><br \/>\nNoel Gorelick, Jean-Francois Pekel, and Andrew Cottam<br \/>\n<strong>A Strategy for Global Land Cover Monitoring Using Landsat and Sentinel 2<\/strong><br \/>\nMatthew Hansen,\u00a0<em>University of Maryland<\/em><br \/>\n<strong>A Brief and Personal History of Global Land-Cover Data: Have We\u00a0 Evolved from Too Little to Too Much?<\/strong><br \/>\nElaine Matthews,\u00a0<em>National Aeronautics and Space Administration<\/em><br \/>\n<strong>Automated Global Land Cover Mapping From-Glc-2 and a New Mapping Portal in Support of Flexible Mapping With Landsat Data<\/strong><br \/>\nPeng Gong,\u00a0<em>Tsinghua University<\/em><br \/>\nCongcong Li, Jie Wang, Luyan Ji, Yuqi Bai, Huabing Huang, Le Yu, Duole Feng, Yuanyuan Zhao, Greg Biging, Nick Clinton, and Zhiliang Zhu,<\/p>\n<h3>TS #8\u2014Special Session<\/h3>\n<h3>Calibration of Satellite Imagery<\/h3>\n<h3>Moderator:\u00a0 Dennis Helder,\u00a0<em>U.S. Geological Survey<\/em><\/h3>\n<p>4:00\u00a0pm\u00a0to 5:30\u00a0pm\u2014Room 6<br \/>\nCalibration of satellite imagery is the necessary first step before data users can extract useful, quantifiable information from the imagery.\u00a0 Thus, it is paramount that the calibration step achieve an accuracy and precision that significantly exceeds that required by the applications derived from satellite imagery.\u00a0 Calibration is normally divided into geometric calibration and radiometric calibration \u2013 essentially putting the pixels in the right place and giving them the right value.\u00a0 In this session both types of calibration will be addressed from a variety of perspectives.\u00a0 Status and improvements for calibration of various sensor types will be discussed, and insights will be given on new calibration approaches that promise improved accuracy for optical sensors in both the reflective and thermal regions.<br \/>\n<strong>Augmented Two Line Elements for Landsat Ephemeris Data<\/strong><br \/>\nMark Lubke,\u00a0<em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nAjit Sampath<br \/>\n<strong>Geometric Verification Algorithm (GVERIFY) to Validate the Accuracy of Landsat Multispectral Scanner and Thematic Mapper Data<\/strong><br \/>\nMark Lubke,\u00a0<em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nAjit Sampath<br \/>\n<strong>Lifetime Temporal Validation and Absolute Calibration of the EO-1 Hyperion Sensor<\/strong><br \/>\nXin Jing,\u00a0<em>South Dakota State University<\/em><br \/>\n<strong>Compact Thermal Imager Calibrator (CTIC) for Landsat-like Missions<\/strong><br \/>\nMary Pagnutti,\u00a0<em>Innovative Imaging &amp; Research<\/em><br \/>\nKara Burch and Robert Ryan<br \/>\n<strong>Landsat-8 Thermal Infrared Sensor Radiometric Calibration Status<\/strong><br \/>\nJulia Barsi,\u00a0<em>Science Systems and Applications, Inc.<\/em><br \/>\nBrian Markham, Simon Hook, John Schott, Nina Raqueno, and Emmett Lentilucci<br \/>\n<strong>Ground-based Artificial Light Source Radiometric Calibration of the VIIRS Day-Night Band High Gain Stage Early Results<\/strong><br \/>\nRobert Ryan,<em>\u00a0Innovative Imaging &amp; Research<\/em><br \/>\nTimothy Ruggles, Kara Burch, Larry Leigh, Mary Pagnutti, and Dennis Helder<\/p>\n<h3>TS #9\u2014Panel Session<\/h3>\n<h3>Training Next Generation Remote Sensing Scientists<\/h3>\n<h3>Moderator: Rebecca Dodge,\u00a0<em>Midwestern State University<\/em><\/h3>\n<h3>4:00\u00a0pm\u00a0to 5:30\u00a0pm\u2014Room 8<\/h3>\n<p>From cloud computing to no-cost Landsat data and low-cost data collected from Unmanned Aircraft Systems, remote sensing technology is changing faster than ever before at a time when the need for a highly trained and adaptive geospatial workforce is perhaps greater than ever. In this session, StateView panelists from AmericaView, a nationwide consortium dedicated to remote sensing research, outreach, and education, will share their successes in building the remote sensing workforce of tomorrow through a network of undergraduate research opportunities. StateViews may focus research on state-specific issues important to local and regional stakeholders, such as urban expansion, coastal studies, forestry, agriculture, or grazing; international research applications are also available.\u00a0\u00a0 Panelists will share lessons learned as well as valuable insights about recruiting, training, and mentoring undergraduate students on data processing, information extraction, and presentation skills.\u00a0 This will be followed by a Q&amp;A and discussion session.<br \/>\nPanelists:<br \/>\nRebecca Dodge,\u00a0<em>Robert L. Bolin Graduate School of Petroleum Geology<\/em><br \/>\nLarry Biehl,\u00a0<em>Purdue University<\/em><br \/>\nJarlath O\u2019Neil-Dunne,\u00a0<em>University of Vermont<\/em><br \/>\nRamesh Sivanpillai,\u00a0<em>University of Wyoming<\/em><br \/>\nYong Wang,\u00a0<em>East Carolina University<\/em><\/p>\n<h3>TS #10<\/h3>\n<h3>Floods, Faults and Other Hazards<\/h3>\n<h3>Moderator: Jude Kastens,\u00a0<em>University of Kansas<\/em><\/h3>\n<h3>4:00\u00a0pm\u00a0to 5:30\u00a0pm\u2014Room 10<\/h3>\n<p><strong>Rapid Flood Mapping Using Inundation Libraries<\/strong><br \/>\nJude Kastens,\u00a0<em>University of Kansas<\/em><br \/>\nKevin Dobbs, James Halgren and Brian Ashe<br \/>\n<strong>Automated Mapping of Flood Events in the Mississippi River Basin Utilizing NASA Earth Observations<\/strong><br \/>\nMercedes Bartkovich,\u00a0\u00a0<em>Science Systems and Applications, Inc.<\/em><br \/>\nNicholas McVey, Helen Baldwin, Olivia Callaway, Dashiell Cruz, and Chris Ploetz<br \/>\n<strong>Using Landsat 8 to Map the Geomorphology and Structural Geology of Northwestern Venezuela<\/strong><br \/>\nTyler Ricketts,\u00a0<em>University of Mississippi<\/em><br \/>\n<strong>Employing Web Services and Large-scale Automation to Provide Greater Accessibility to Decision Makers.<\/strong><br \/>\nJennifer Martin,\u00a0<em>Satelytics<\/em><\/p>\n<h3>TS #11<\/h3>\n<h3>Water and Air Quality<\/h3>\n<h3>Moderator: Nima Pahlevan,\u00a0<em>National Aeronautics and Space Administration<\/em><\/h3>\n<h3>4:00\u00a0pm\u00a0to 5:30\u00a0pm\u2014Room 11<\/h3>\n<p><strong>Regional Water Quality Measurements of Optically Complex Inland Waters Using New Enhanced Landsat 8 and Sentinel 2 Imagery<\/strong><br \/>\nLeif Olmanson,<em>\u00a0University of Minnesota<\/em><br \/>\nPatrick Brezonik, Marvin Bauer, and Jacques Finlay<br \/>\n<strong>Landsat-Sentinel-2 for Aquatic Science: Steps Towards Transitioning from Research to Operations<\/strong><br \/>\nNima Pahlevan,\u00a0<em>National Aeronautics and Space Administration<\/em><br \/>\nSudipta Sarkar, Sandeep Chittimalli, and Sundarabalan Subramanian<br \/>\n<strong>Leveraging Landsat to Map Lake Water Quality for Improved Public Health Decision-making<\/strong><br \/>\nNathan Torbick,\u00a0<em>Applied GeoSolutions<\/em><br \/>\n<strong>Monitoring Air Quality in Shenandoah National Park to Address National Park Service Initiatives Using NASA Earth Observations<\/strong><br \/>\nEllen Bubak,\u00a0<em>Science Systems and Applications, Inc.<\/em><br \/>\nJulie Terhune, Nicholas Lenfant, Douglas Gardiner, and Amanda Clayton<\/p>\n<h3>TS #12<\/h3>\n<h3>Fire and Fuel Loads<\/h3>\n<h3>Moderator: Birgit Peterson,\u00a0<em>U.S. Geological Survey<\/em><\/h3>\n<h3>4:00\u00a0pm\u00a0to 5:30\u00a0pm\u2014Room 13<\/h3>\n<p><strong>LANDFIRE Remap: Integrating Lidar for Improving Vegetation Structure Mapping<\/strong><br \/>\nJordan Long,\u00a0<em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nBirgit Peterson, and Kurtis Nelson<br \/>\n<strong>Disturbance Mapping Improvements for LANDFIRE Remap<\/strong><br \/>\nBrian Tolk,\u00a0<em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\n<strong>Near Real-Time Monitoring of Wildfire Fuel Conditions in the Great Basin\/Southwest U.S.<\/strong><br \/>\nKurtis Nelson,\u00a0<em>U.S. Geological Survey<\/em><br \/>\n<strong>Development of a Landsat-8 Sentinel-2 30 m Burned Area Product<\/strong><br \/>\nDavid Roy,\u00a0<em>South Dakota State University<\/em><br \/>\nHaiyan Huang, Luigi Boschetti, Hankui Zhang, Lin Yan, and Zhongbin Li,<br \/>\n<strong>Utilizing NASA Earth Observations and Google Earth Engine to Map Historical Tree Mortality in Lassen Volcanic National Park<\/strong><br \/>\nAnna McGarrigle,\u00a0<em>Science Systems and Applications, Inc.<\/em><br \/>\nJohn Dilger, and Joshua Verkerke<\/p>\n<p>\n<\/div><div class=\"kc-elm kc-css-348595 kc_text_block\"><\/p>\n<h2>Social Event<\/h2>\n<h2>Exhibitors\u2019 Reception<\/h2>\n<h2>5:30 pm to 7:30 pm\u2014Exhibit Hall 2<\/h2>\n<p>Take this wonderful opportunity to visit with the national and international suppliers exhibiting at the Symposium. An ASPRS tradition, the Exhibitors\u2019 Reception is a perfect time to mingle with fellow attendees, thank the Conference Exhibitors\u2019, our hosts for the evening, and stop by to view the wonderful Posters on display and interact with the authors. The evening is sure to provide a relaxed environment with light hors d\u2019oeuvres and beverages and a time to come together with old and new friends.<br \/>\nAdmission to this event is included with most registrations.<\/p>\n<h2>Posters Sessions<\/h2>\n<p>5:30 pm to 7:30 pm\u2014Exhibit Hall 2<br \/>\nTake time to view the various posters on display and speak with the presenter. Poster presenters are asked to be near their work at this time and available to answer questions and expand on their research. In addition, poster presenters are requested to be near their poster during lunch breaks, as their schedule allows. Posters will be on display throughout the conference and open for viewing.<\/p>\n<h2>Wednesday<\/h2>\n<h2>Plenary Sessions<\/h2>\n<h2>Current State of Earth Observations\u2014Panel Discussion<\/h2>\n<p>Moderator: Barbara J. Ryan, Secretariat Director of the intergovernmental <em>Group on Earth Observations (GEO)<\/em><br \/>\n8:30 am to 10:00 am<br \/>\n<img loading=\"lazy\" decoding=\"async\" class=\"thumb1 alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2017\/06\/Mike_Freilich.jpeg\" alt=\"\" width=\"212\" height=\"238\" \/>Michael H. Freilich, Director, <em>Earth Science Division at NASA Headquarters<\/em><br \/>\nDr. Freilich is the Director of NASA\u2019s Earth Science Division.<\/p>\n<p>The purpose of NASA\u2019s Earth science program is to develop a scientific understanding of Earth\u2019s system and its response to natural or human-induced changes, and to improve prediction of climate, weather, and natural hazards.\u00a0 A major component of NASA\u2019s Earth Science Division is a coordinated series of satellite and airborne missions for long-term global observations of the land surface, biosphere, solid Earth, atmosphere, and oceans. This coordinated approach enables an improved understanding of the Earth as an integrated system.\u00a0 Prior to coming to NASA, he was a Professor and Associate Dean in the College of Oceanic and Atmospheric Sciences at Oregon State University. He received BS degrees in Physics (Honors) and Chemistry from Haverford College in 1975 and a Ph.D. in Oceanography from Scripps Institution of Oceanography in 1982.\u00a0 Dr. Freilich\u2019s honors include the JPL Director\u2019s Research Achievement Award (1988), the NASA Public Service Medal (1999), and the American Meteorological Society\u2019s Verner E. Suomi Award (2004), as well as several NASA Group Achievement awards.\u00a0 He was named a Fellow of the American Meteorological Society in 2004.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2016\/12\/Harry-Cikanek.jpeg\" alt=\"\" width=\"106\" height=\"133\" \/>Harry A. Cikanek \u2013 Director (acting), <em>STAR \u2013 Center for Satellite Applications and Research, NOAA<\/em><\/p>\n<p>Mr. Cikanek is the acting Director for the United States National Oceanic and Atmospheric Administration\u2019s Center for Satellite Applications and Research (STAR), the unit of the NOAA Satellite and Information Service responsible for transforming raw and intermediate satellite data flows from NOAA and global observing system satellites into real time weather and environmental data and information products. These feed forecast models, and operations personnel in the National Weather \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Service, National Ocean Service, National Marine Fisheries Service, and support research, and long term environmental information products to meet NOAA\u2019s and its partner weather and environmental information needs to protect life, property and livelihoods.\u00a0 Prior to this assignment, he served just over five years as the first Director of the NOAA Joint Polar Satellite System (JPSS). His major JPSS accomplishments included stabilizing and streamlining the program to tighten its focus on the weather mission while avoiding over $2 billion in cost. He oversaw the successful transition of the Suomi National Polar Partnership (the first JPSS mission) satellite to NOAA operations and its continued successful operations in support of the NOAA weather mission. Mr. Cikanek began his career as a NASA aerospace engineer. His 30 years at NASA included engineering and program management in rocket propulsion, launch services, space transportation technology, and human exploration of space. He is the author or coauthor of over 25 papers and articles. He is also a recipient of the Presidential Rank of Meritorious Executive, the NASA Outstanding Leadership Medal, and is an Associate Fellow of the American Institute of Aeronautics and Astronautics.<\/p>\n<p>William Werkheiser, Acting Director, <em>USGS<\/em> (invited)<\/p>\n<p>Mr. Werkheiser has served in numerous positions since joining the USGS in 1986. Prior to his position as Associate Director for Water, he was the Regional Director for the former USGS Eastern Region, where he oversaw activities related to biological, geographical, geological, and hydrological research and assessments.\u00a0 He also led the Natural Hazards Initiative Team and the long-term Hurricane Katrina Response and Recovery Team for the USGS. He has over 25 years of experience with the USGS and other agencies working on a variety of environmental and scientific issues.<br \/>\nWalter S. Scott, Founder and CTO, <em>DigitalGlobe<\/em> (invited)<\/p>\n<p>Dr. Scott is the founder and currently serves as the Executive Vice President and Chief Technical Officer at DigitalGlobe. He is responsible for DigitalGlobe\u2019s Platform and Services Business Units, as well as space system acquisition. From 1986 through 1992, Dr. Scott held a number of technical, program, and department management positions at the Lawrence Livermore National Laboratory, including serving as the assistant associate director of the Physics Department. Prior to this, he served as president of Scott Consulting, a Unix systems and applications consulting firm. Dr. Scott holds a Bachelor of Arts in Applied Mathematics, magna cum laude, from Harvard College and a Doctorate and Master of Science in Computer Science from the University of California, Berkeley.<\/p>\n<h3>TS #13<\/h3>\n<h3>LCMAP Special Session 1: Foundations<\/h3>\n<h3>Moderator: Curtis Woodcock, <em>Boston University<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 1<\/h3>\n<p>The U.S. Geological Survey (USGS) has a long land cover history, starting with the 1976 landmark\u00a0<em>A Land Use and Land Cover Classification System for use with Remote Sensor Data\u00a0<\/em>and including global land cover mapping and the ongoing production of the National Land Cover Database.\u00a0 While these past projects have had a significant impact, land cover data needs are changing due to the demand for increasingly innovative and timely land cover products needed to meet the community\u2019s insatiable appetite for science-quality geospatial land cover and land change data.\u00a0 Recent research on the use of the unprecedented depth of the Landsat archive has resulted in the potential to generate higher quality results that include additional land cover variables, more detailed legends, and more frequent land cover and land change geospatial and statistical information. To capitalize on new capabilities, the USGS is working closely with researchers from Boston University and Texas Tech University to implement the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative.\u00a0 LCMAP is envisioned as an end-to-end capability that uses the rich Landsat record to continuously track and characterize changes in land cover, use, and condition and translate such information into assessments of current and historical processes of cover and change. LCMAP aims to generate science-quality land cover and land change products from current and near-real time Landsat data. All available Landsat data for any given location are used to characterize land cover and change at any point across the full Landsat record and to detect and characterize land cover and land change as it occurs.<br \/>\nThree special sessions will: 1) lay out the foundations of LCMAP; 2) review the initial progress toward developing a new generation of land cover and land change products; and 3) examine how these new products are addressing land change applications.<br \/>\n<strong>Land Change Monitoring, Assessment, and Projection (LCMAP): Expanding the Understanding and Management of Land Change<\/strong><br \/>\nThomas Loveland, <em>U.S. Geological Survey<\/em><br \/>\nJohn Dwyer and Curtis Woodcock<br \/>\n<strong>Large Area Annual Land Cover Maps Derived from Analysis Ready Landsat Time Series Data<\/strong><br \/>\nZhe Zhu, <em>Texas Tech University<\/em><br \/>\nAnalysis Ready Data: Reconditioning the Landsat Archive to Support Time Series Investigations<br \/>\nJohn Dwyer, <em>U.S. Geological Survey<\/em><br \/>\nThomas Loveland and Calli Jenkerson<br \/>\n<strong>Collection of National Land Cover and Land Change Reference Data for a 30+ Year Time Series Accuracy Assessment<\/strong><br \/>\nBruce Pengra, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nWarren Cohen, Todd Schroeder, Sean Healey, Stephen Stehman, and Zhiqiang Yang<br \/>\n<strong>Accuracy Assessment and Area Estimation for Annual Land-Cover Monitoring<\/strong><br \/>\nStephen Stehman, <em>State University of New York<\/em><br \/>\nThomas Loveland, and Bruce Pengra<\/p>\n<h3>TS #14<\/h3>\n<h3>Landsat\/Sentinel Cross-Calibration Session 1<\/h3>\n<h3>Moderator: Brian Markham, <em>National Aeronautics and Space Administration<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 6<\/h3>\n<p><strong>Cross-Calibration of Landsat 8 OLI and Sentinel 2 MSI and its Impact On Data Interoperability&#8211;Workshop Results and Analysis<\/strong><br \/>\nDennis Helder, <em>U.S. Geological Survey<\/em><br \/>\n<strong>Operational Sentinel-2A L1C and Landsat-8 Collection-1 Time-series Registration<\/strong><br \/>\nLin Yan, <em>South Dakota State University<\/em><br \/>\nDavid Roy, Haiyan Huang, Zhongbin Li, and Hankui Zhang<br \/>\n<strong>Improving Landsat-8\/Sentinel-2 Registration Accuracy<\/strong><br \/>\nJames Storey, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nMichael Choate, Rajagopalan Rengarajan, and Mark Lubke<br \/>\n<strong>Utilization of TanDEM-X and ALOS DEM for Topographic Correction of Sentinel-2 Satellite Imagery<\/strong><br \/>\nSharad Kumar Gupta, <em>Indian Institute of Technology<\/em>, Mandi<br \/>\nDericks Praise Shukla<br \/>\n<strong>A Small Satellite Piggy-Back Calibrator (PBR) Enabling Accurate Absolute Radiometric Calibration<\/strong><br \/>\nMary (Becky) Cudzilo, <em>Surrey Satellite Technology US LLC<\/em><br \/>\n<strong>Uncertainty of the TOA Radiance predicted by MODTRAN-5 using Monte Carlo Simulation<\/strong><br \/>\nCibele Teixeira Pinto, <em>South Dakota State University<\/em><br \/>\nRuy Morgado de Castro, Larry Leigh, and Dennis Helder<\/p>\n<h3>TS #15\u2014Panel Session<\/h3>\n<h3>Petascale High Performance Computing<\/h3>\n<h3>Moderator: Steve Swazee, <em>GITA Executive Director\/SharedGeo<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 8<\/h3>\n<p>With the growth of daily commercial, higher resolution, optical and radar satellite systems to the explosion of centimeter level cameras on Unmanned Aerial Systems, the question is not can one get imagery but how can one handle it all?\u00a0 Petascale High Performance Computing is a major emerging technology system that has bypassed traditional remote sensing computer workstation approaches. This panel is designed to facilitate a broad discussion of where the industry is today and where it is going in the future.\u00a0 The panelists represent a cross section of academic, business, and government sectors.<br \/>\nPanelists:<br \/>\nChris Doescher, <em>U.S. Geological Survey<\/em><br \/>\nLanny Faleide, <em>Satshot.com<\/em><br \/>\nMark Korver, <em>Amazon Web Services<\/em><br \/>\nPaul Morin, <em>University of Minnesota<\/em><br \/>\nJoel Schlagel, <em>U.S. Army Corps of Engineers<\/em><\/p>\n<h3>TS #16<\/h3>\n<h3>Landcover and Landcover Change<\/h3>\n<h3>Moderator: Kristi Sayler, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 11<\/h3>\n<p><strong>Unlocking Landsat\u2019s Landscape Narratives: Landcover in the Cloud<\/strong><br \/>\nRobert Kennedy, <em>Oregon State University<\/em><br \/>\nJustin Braaten, Sam Hooper, Joseph Hughes, Zhiqiang Yang, and Peder Nelson<br \/>\n<strong>Multi-algorithm Sequencing for Land Cover Change Monitoring<\/strong><br \/>\nEric Bullock, <em>Boston University<\/em><br \/>\nCurtis Woodcock<br \/>\n<strong>A Polyalgorithm for Land Cover Trend and Change Detection<\/strong><br \/>\nRishu Saxena, <em>Virginia Tech<\/em><br \/>\nLayne Watson, Randolph Wynne, and Valerie Thomas<br \/>\n<strong>The Time Series Global Land Surface Satellite (GLASS) products<\/strong><br \/>\nShunlin Liang, <em>University of Maryland<\/em><br \/>\n<strong>Mapping Smallholder Forest Plantation Dynamics in Andhra Pradesh using Multitemporal, Mulitresolution Earth Resource Satellite Data<\/strong><br \/>\nRandolph Wynne, <em>Virginia Tech<\/em><br \/>\nValerie Thomas, Evan Brooks, Jill Derwin, Gregory Amacher, Kelly Cobourn, Haripriya Gundimeda, Matthew House, Paige Williams, Sara Cerv, James Rakestraw, and Rishu Saxena<\/p>\n<h3>TS #17<\/h3>\n<h3>Bathymetry and Shoreline Mapping<\/h3>\n<h3>Moderator: Vaughn Ihlen, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 10<\/h3>\n<p><strong>Active-Passive Data Fusion for Global, Nearshore Bathymetry Retrieval<\/strong><br \/>\nNick Forfinski-Sarkozi, <em>Oregon State University<\/em><br \/>\nChristopher Parrish<br \/>\n<strong>Evaluating the Potential for Near-Shore Bathymetry on the Majuro Atoll, Republic of the Marshall Islands, Using Landsat 8 and WorldView-3 imagery<\/strong><br \/>\nSandra Poppenga, <em>U.S. Geological Survey<\/em><br \/>\n<strong>Best Practices for Use of Remote Sensing Derived Elevation Models in Sea-Level Rise Assessments<\/strong><br \/>\nDean Gesch, <em>U.S. Geological Survey<\/em><br \/>\n<strong>WorldDEM Ocean Shoreline Validation and Verification<\/strong><br \/>\nMichael Caruso, <em>University of Miami<\/em><br \/>\nHans Graber, Ernest Fahrland, John Collins, and John Hargrove<br \/>\n<strong>Structure-From-Motion Derived Historical Orthomosaics and their Applications<\/strong><br \/>\nLisa Wirth, <em>University of Alaska<\/em><\/p>\n<h3>TS #18<\/h3>\n<h3>Forest Canopy Height and Structure<\/h3>\n<h3>Moderator: Valerie Thomas, Virginia Tech<\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 13<\/h3>\n<p><strong>Large-Area Site Index Maps Using Disparate Lidar Datasets and Landsat Data for Better Planted Pine Forest Management<\/strong><br \/>\nRandolph Wynne, <em>Virginia Tech<\/em><br \/>\nJobriath Kauffman, Valerie Thomas, and Randolph Wynne<br \/>\n<strong>Using Lidar to Inform Management of Minnesota\u2019s Aspen and Red Pine Forests<\/strong><br \/>\nGeorge Host, <em>University of Minnesota-Duluth<\/em><br \/>\nKristina Nixon, Paul Meysembourg, William Berguson, and Daniel Buchman<br \/>\n<strong>Land Cover Classification of the Lake of the Woods\/Rainy River Basin by Object-Based Image Analysis of Landsat and Lidar Data<\/strong><br \/>\nLeif Olmanson, <em>University of Minnesota<\/em><br \/>\nMarvin Bauer<br \/>\nIntegrating Airborne Lidar and Landsat Data to Quantify Forest Aboveground Biomass Amount and Uncertainty<br \/>\nLindi Quackenbush, <em>State University of New York, Environmental Science and Forestry<\/em><br \/>\nSiqi Li<br \/>\n<strong>Tree Height Estimation in Sloped Plateau Area with Dual-Polarization InSAR Techniques and Datasets<\/strong><br \/>\nYong Wang, E<em>ast Carolina University, University of Electronic Science and Technology of China<\/em><br \/>\nHuimin Li<\/p>\n<h2>Plenary Sessions<\/h2>\n<h2><strong>Presentation of the 2017 William T. Pecora Award<\/strong><\/h2>\n<h2>Michael H. Freilich, <em>NASA<\/em> and Andrea Travnicek, <em>DOI<\/em> (invited)<\/h2>\n<h2>1:30 pm to 3:00 pm<\/h2>\n<p>The William T. Pecora Award is presented annually to individuals or groups that make outstanding contributions toward understanding the Earth by means of remote sensing. The award is sponsored jointly by the Department of the Interior (DOI) and the National Aeronautics and Space Administration (NASA).<br \/>\n<strong>Perspectives on Progress and Challenges in Remote Sensing\u2014Panel Discussion<\/strong><br \/>\nPanelist\u2014Pecora Award Winners<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"thumb1 alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2016\/12\/pol0003b.jpg\" alt=\"\" width=\"180\" height=\"176\" \/>Samuel N. Goward (2008)<br \/>\nDr. Goward pursues biophysical applications of land remotely sensed data. He has been actively involved in the land observation missions since the 1970s, specifically focused on Landsat and AVHRR. His recent research has focused on evaluating North American forest disturbance and regrowth from the historical Landsat observation record for the North American Carbon Program (NACP). He currently is serving as a member of the NACP science steering group. He served as the Landsat Science Team Leader for Landsat 7 and continues as a member of the Landsat Science Team today. In addition he served as the Co-Chair for the USGS National Land Satellite Land Remote Sensing Data Archive (NLSLRSDA) advisory committee. In recognition of his long-standing commitment to land observations and the Landsat mission, Dr. Goward has received the USGS John Wesley Powell award, the USGS\/NASA William T. Pecora award and the ASPRS SAIC Estes Teaching award. He continues to serve as an associate editor for Remote Sensing of Environment.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2016\/12\/Woodcock.jpg\" alt=\"\" width=\"150\" height=\"150\" \/>Curtis E. Woodcock (2016)<br \/>\nDr. Woodcock has held academic positions at the University of California, the City University of New York and Boston University. His primary research interests are: the use of remote sensing to monitor land change, including topics of time series analysis, cloud\/cloud shadow detection, and validation of time series results; \u00a0\u00a0\u00a0\u00a0\u00a0terrestrial carbon dynamics; the causes and consequences of land cover and land use change. Dr. Woodcock was the 2016 William T. Pecora Award winner for \u201coutstanding contributions toward understanding the Earth by means of remote sensing.\u201d He was the co-team leader for the Landsat Science Team.<\/p>\n<p>Darrel L. Williams (2017)<br \/>\nDr. Williams joined Global Science and Technology as their Chief Scientist in February 2010 upon retiring from a distinguished 35-year career in NASA.\u00a0 At NASA he conducted remote sensing research to develop enhanced techniques for assessing terrestrial ecosystems worldwide.\u00a0 Over time he assumed science management positions of increasing responsibility, including international field campaign manager, Branch Head, Landsat Project Scientist, and Laboratory Associate and Acting Chief.\u00a0 He worked with and mentored several EOS-era Project Scientists (Terra, Aqua, ICESat, NMP Earth Observer-1, Landsat Data Continuity Mission, etc.), and received NASA medals for Outstanding Leadership (1997) and Exceptional Service (2000).\u00a0 In 1999 Williams received the \u201cAviation Week and Space Technology 1999 Laurels Award\u201d for outstanding achievement in the field of Space in recognition of his science leadership role for the Landsat 7 mission.\u00a0 In 2006 he received an \u201cOutstanding Alumni Award\u201d from the School of Forest Resources at the Pennsylvania State University where he received his B.S. and M.S. degrees in Forest Science in 1973 and 1974, respectively. Williams attained his Ph.D. in Physical Geography from the University of Maryland in 1989.<\/p>\n<h3>TS #19<\/h3>\n<h3>LCMAP Special Session 2: Initial Results<\/h3>\n<h3>Moderator: Virginia Burkett, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>3:30 pm to 5:00 pm\u2014Room 1<\/h3>\n<p>The U.S. Geological Survey (USGS) has a long land cover history, starting with the 1976 landmark\u00a0<em>A Land Use and Land Cover Classification System for use with Remote Sensor Data\u00a0<\/em>and including global land cover mapping and the ongoing production of the National Land Cover Database.\u00a0 While these past projects have had a significant impact, land cover data needs are changing due to the demand for increasingly innovative and timely land cover products needed to meet the community\u2019s insatiable appetite for science-quality geospatial land cover and land change data.\u00a0 Recent research on the use of the unprecedented depth of the Landsat archive has resulted in the potential to generate higher quality results that include additional land cover variables, more detailed legends, and more frequent land cover and land change geospatial and statistical information. To capitalize on new capabilities, the USGS is working closely with researchers from Boston University and Texas Tech University to implement the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative.\u00a0 LCMAP is envisioned as an end-to-end capability that uses the rich Landsat record to continuously track and characterize changes in land cover, use, and condition and translate such information into assessments of current and historical processes of cover and change. LCMAP aims to generate science-quality land cover and land change products from current and near-real time Landsat data. All available Landsat data for any given location are used to characterize land cover and change at any point across the full Landsat record and to detect and characterize land cover and land change as it occurs.<br \/>\nThree special sessions will: 1) lay out the foundations of LCMAP; 2) review the initial progress toward developing a new generation of land cover and land change products; and 3) examine how these new products are addressing land change applications.<br \/>\n<strong>A New Generation of U.S. Land-Cover Products<\/strong><br \/>\nChristopher Barber, <em>ASRC Federal Inuteq<\/em><br \/>\nAlisa Gallant, George Xian, Qiang Zhou, and Bruce Pengra<br \/>\n<strong>A New Generation of U.S. Land Change Products<\/strong><br \/>\nJim Vogelmann, <em>U.S. Geological Survey<\/em><br \/>\n<strong>A New Generation of Land Change Products: Implications for Studying \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0Carbon Stocks and Fluxes in the Pacific Northwest<\/strong><br \/>\nBenjamin Sleeter, <em>U.S. Geological Survey<\/em><br \/>\nJinxun Liu, Zhiliang Zhu, Alisa Gallant, Jim Vogelmann, Thomas Loveland, and Christopher Soulard<br \/>\n<strong>Deconstructing Developed and Forested Areas in the Chesapeake Bay Watershed<\/strong><br \/>\nPeter Claggett,<em> U.S. Geological Survey<\/em><br \/>\n<strong>Comparing Land Cover Trends Project\u2019s Normalized Annual Change and LCMAP\u2019s Annual Change in the Puget Lowland Ecoregion<\/strong><br \/>\nRoger Auch, <em>U.S. Geological Survey<\/em><br \/>\nKristi Sayler, Stephen Stehman, Bruce Pengra, and Janis Taylor<br \/>\n<strong>Forest Harvest Patterns in the Cascade Mountains, Washington, 1985-2014<\/strong><br \/>\nChristopher Soulard, <em>U.S. Geological Survey<\/em><br \/>\nJessica Walker<\/p>\n<h3>TS #20<\/h3>\n<h3>Landsat\/Sentinel Cross-Calibration Session 2<\/h3>\n<h3>Moderator: Jim Storey, Stinger Ghaffarian Technologies, Inc.<\/h3>\n<h3>3:30 pm to 5:00 pm\u2014Room 6<\/h3>\n<p><strong>Refined Absolute PICS Calibration Model Over Libya-4 using Sentinel2A and Landsat 8 Collection-1 data for Validation<\/strong><br \/>\nMorakot Kaewmanee, <em>South Dakota State University<\/em><br \/>\nDennis Helder<br \/>\n<strong>SMACAA Atmospheric Code for BRDF Retrieval and APICS First Principles Methodology as Applied Imaging Satellite Sensor Calibration<\/strong><br \/>\nLarry Leigh, <em>South Dakota State University<\/em><br \/>\nLeah Ervin, and Dennis Helder<br \/>\n<strong>Large Area Saharan PICS Development for Calibration and Stability Monitoring of Optical Satellite Sensors<\/strong><br \/>\nMahesh Shrestha, <em>South Dakota State University<\/em><br \/>\nLarry Leigh, Dennis Helder, and Thomas Loveland<br \/>\n<strong>Endmember-Based Aerosol Inversion Technique for the Atmospheric Correction of Landsat OLI<\/strong><br \/>\nMinsu Kim, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\n<strong>Landsat 8 Operational Land Imager: Relative Gain Estimation Using Unbiased Global Earth Imaging<\/strong><br \/>\nMd Obaidul Haque,<em> Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nJulia Barsi, Dennis Helder, and Esad Micijevic<br \/>\n<strong>Landsat-8 OLI On-Orbit Radiometric Performance and Landsat-9 OLI-2 Radiometric Performance Predictions<\/strong><br \/>\nBrian Markham, <em>National Aeronautics and Space Administration<\/em><br \/>\nJulia Barsi, Ron Morfitt, Ed Kaita, Md Obaidul Haque, Lawrence Ong, Phil Dabney, Jeffrey Pedelty, Raviv Levy, and Esad Micijevic<\/p>\n<p>\n<\/div><div class=\"kc-elm kc-css-56252 kc_text_block\"><\/p>\n<h3>TS #21<\/h3>\n<h3>Agriculture and Drought<\/h3>\n<h3>Moderator: Rick Mueller, <em>U.S. Department of Agriculture<\/em><\/h3>\n<h3>3:30 pm to 5:00 pm\u2014Room 8<\/h3>\n<p><strong>Estimating Excess Moisture Conditions with Earth Observation Data<\/strong><br \/>\nCatherine Champagne, <em>Agriculture and Agri-Food Canada<\/em><br \/>\n<strong>Vigor and Evapotranspiration of Soybean Grown Under Different Management Systems Monitored by Landsat<\/strong><br \/>\nAnita Simic Milas, <em>Bowling Green State University<\/em><br \/>\n<strong>Validation of MinNDTI Method for Remote Sensing of Crop Residue and Tillage Practices Using Multi-Temporal Landsat 8 and Sentinel-2 Imagery<\/strong><br \/>\nMichael Graham, <em>Virginia Tech<\/em><br \/>\nJames Campbell, Baojuan Zheng, Craig Daughtry, Yang Shao, and Megan O\u2019Rourke<br \/>\n<strong>Investigating Patterns of Drought Influence on Land Use and Land Cover in the Great Plains with Landsat Time Series Data<\/strong><br \/>\nHeather Tollerud, <em>U.S. Geological Survey<\/em><br \/>\nJesslyn Brown and Thomas Loveland<br \/>\n<strong>Assessing the Impact of Drought in Guanacaste, Costa Rica and \u00a0Evaluating Potential Contributions of ECOSTRESS Evapotranspiration Data to Improve Drought Estimation<\/strong><br \/>\nSavannah Cooley, <em>National Aeronautics and Space Administration<\/em><\/p>\n<h3>TS #22<\/h3>\n<h3>Landcover Classification Algorithms<\/h3>\n<h3>Moderator: David Roy, <em>South Dakota State University<\/em><\/h3>\n<h3>3:30 pm to 5:00 pm\u2014Room 10<\/h3>\n<p><strong>Using the 500 m MODIS Land Cover Product to Derive a Consistent North America 30 m Landsat Land Cover Classification and Implications for Global 30 m Land Cover Mapping<\/strong><br \/>\nHankui Zhang, <em>South Dakota State University<\/em><br \/>\nDavid Roy<br \/>\n<strong>The Rapid Land Cover Mapper: A Useful Alternative for High Resolution and Small Scale Land Study<\/strong><br \/>\nRoss Evelsizer, <em>Northeast Iowa Resource Conservation &amp; Development<\/em><br \/>\nDarrell Napton, and Suzanne Cotillon<br \/>\n<strong>Reusing Low-Accuracy and Variable-Accuracy Land-Cover Maps for Automatic Forest\/Non-Forest Classification<\/strong><br \/>\nPeter Kennedy, <em>University of Lethbridge<\/em><br \/>\nCraig Coburn<br \/>\n<strong>A Hybrid Approach to Realistically Downscaling Land Use Patterns<\/strong><br \/>\nEvan B Brooks, <em>Virginia Polytechnic Institute and State University<\/em><br \/>\nJohn W. Coulston, Kurt H Riitters, and David N Wear<br \/>\n<strong>Estimating and Mapping Individual Pixel Accuracy for Classified Remote Sensing Images<\/strong><br \/>\nGiorgos Mountrakis, <em>State University of New York<\/em><br \/>\nReza Khatami, and Steve Stehman<\/p>\n<h3>TS # 23<\/h3>\n<h3>Evapotranspiration for Water Management<\/h3>\n<h3>Moderator: Martha Anderson, <em>U.S. Department of Agriculture<\/em><\/h3>\n<h3>3:30 pm to 5:00 pm\u2014Room 11<\/h3>\n<p><strong>A Review of Remote Sensing of Evapotranspiration Models for Agricultural Water Resources Management<\/strong><br \/>\nHatim Geli, <em>New Mexico State University<\/em><br \/>\nChristopher Neale, and James Verdin<br \/>\n<strong>Analysis of Satellite-Based Water Use Dynamics Using Historical Landsat Data (1984-2014) in the Southwestern United States<\/strong><br \/>\nGabriel Senay, <em>U.S. Geological Survey<\/em><br \/>\nMatthew Schauer, MacKenzie Friedrichs, Naga Manohar Velpuri, and Ramesh Singh<br \/>\n<strong>An Intercomparison of Evapotranspiration Estimates Derived Using Thermal-Based Satellite Remote Sensing for Irrigation Management in California Vineyards<\/strong><br \/>\nKyle Knipper, <em>U.S. Department of Agriculture<\/em><br \/>\nWilliam Kustas, Martha Anderson, Joseph Alfieri, John Prueger, Feng Gao, Lynn McKee, Lawrence Hipps, and Maria Mar Alsina<br \/>\n<strong>Investigating Impacts of Drought and Disturbance on a Forested Landscape in North Carolina, USA using High Spatiotemporal Resolution Evapotranspiration Datacubes<\/strong><br \/>\nYun Yang, <em>U.S. Department of Agriculture<\/em><br \/>\nMartha Anderson, Feng Gao, Christopher Hain, William Kustas, Asko Noormets, Ge Sun, Randolph Wynne, and Valerie Thomas<br \/>\n<strong>An Open Source Tool To Estimate Regional And Field-Scale ET For Decision Makers<\/strong><br \/>\nMitchell Schull, <em>University of Maryland<\/em><br \/>\nChris Hain, Martha Anderson, Xiwu Zhan, and Christopher Neale<\/p>\n<h3>TS #24<\/h3>\n<h3>Forest Mapping and Insect Damage<\/h3>\n<h3>Moderator: Robert Kennedy, <em>Oregon State University<\/em><\/h3>\n<h3>3:30 pm to 5:00 pm\u2014Room 13<\/h3>\n<p><strong>Using Landsat Time Series to Improve Mapping of Forest Composition and Condition in the Northeastern United States<\/strong><br \/>\nValerie Pasquarella, <em>University of Massachusetts-Amherst<\/em><br \/>\n<strong>Using Landsat to Assess the Extent and Severity of Forest Defoliation from Gypsy Moth Larvae in Eastern Connecticut Forests<\/strong><br \/>\nJames Hurd, <em>University of Connecticut<\/em><br \/>\nChandi Witharana, Daniel Civco, and Jason Parent<br \/>\n<strong>A Multi-Index Landsat-Derived Model for Spruce Budworm Defoliation \u00a0Detection and Quantification: Examples of Past and Current Outbreaks (1970s and 2000s)<\/strong><br \/>\nParinaz Rahimzadeh, <em>University of Maine<\/em><br \/>\nAaron Weiskittel, Daniel Kneeshaw, and David MacLean<br \/>\n<strong>Analyzing and Mapping Landscape Disturbance Across Glacier National Park Using a Landsat Time Series<\/strong><br \/>\nAntonio Alvarado, <em>Science Systems and Applications, Inc.<\/em><br \/>\nRyan Avery, Charlotte Mays, Suzannah Richards, Zachary Wardle, Joseph Harris, Sunita Yadav-Pauletti, Jordan Lubbers, and Jemiris Gonzalez-de Jesus<br \/>\n<strong>Wavelet-Based Multisensor Data Fusion Aided by Temporal Analysis<\/strong><br \/>\nSherin Ghannam, <em>Virginia Tech<\/em><br \/>\nA. Lynn Abbott, Mohamed Hussein, Randolph Wynne, Valerie Thomas, and James Campbell<\/p>\n<h2>Special Event<\/h2>\n<h2><strong>Landsat\u2019s Enduring Legacy Book Unveiling<\/strong><\/h2>\n<h2>5:30 pm to 7:30 pm\u2014 Exhibit Hall 2<\/h2>\n<p>Join us at a special evening session for the unveiling of the Landsat Legacy book and take the opportunity to meet the book\u2019s authors.\u00a0 After more than 15 years of research and writing, the Landsat Legacy Project Team and the ASPRS have published a seminal work on the nearly half-century of monitoring Earth\u2019s lands with Landsat.\u00a0 Born of technologies that evolved from the Second World War, Landsat not only pioneered global land monitoring, in the process it also drove innovation in digital imaging technologies and encouraged development of global imagery archives. Access to this imagery led to early breakthroughs in natural resources assessments, particularly for agriculture, forestry, and geology.\u00a0 With the emergence of twenty-first century Earth system science research, the full value of the Landsat concept and its continuous 45-year global archive has only recently been recognized and embraced.\u00a0 This pioneering satellite system\u2019s vital history is captured in this notable book.<\/p>\n<h2>Thursday<\/h2>\n<h2>Plenary Sessions<\/h2>\n<h2><strong>Trends in Big Data Analytics and Progress in Using Earth Observations\u2014Panel Discussion<\/strong><\/h2>\n<p>Moderator: Kass Green,<em> Kass Green and Associates<\/em><br \/>\n8:30 am to 10:00 am<br \/>\nPanelist<br \/>\n<strong><img loading=\"lazy\" decoding=\"async\" class=\"thumb1 alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2016\/12\/Mike-Warren.jpg\" alt=\"\" width=\"186\" height=\"186\" \/>Michael S. Warren, Co-founder and CTO, <em>Descartes Labs<\/em><\/strong><br \/>\nDr. Mike Warren is the Co-founder and CTO of Descartes Labs. His past work spans a wide range of disciplines, with the recurring theme of developing and applying advanced software and computing technology to understand the physical and virtual world. He was a scientist at Los Alamos National Laboratory for 25 years, and also worked as a Senior Software Engineer at Sandpiper Networks\/Digital Island. His work has been recognized on multiple occasions, including the Gordon Bell prize for outstanding achievement in high-performance computing. He has degrees in Physics and Engineering &amp; Applied Science from Caltech, and he received a Ph.D. in Physics from University of California, Santa Barbara.<\/p>\n<p><strong><img loading=\"lazy\" decoding=\"async\" class=\"thumb1 alignleft\" src=\"http:\/\/pecora.asprs.org\/pecora20\/wp-content\/uploads\/2016\/12\/mascaro.jpg\" alt=\"\" width=\"113\" height=\"113\" \/>Joe Mascaro, Director of Academic Programs, <em>Planet<\/em><\/strong><br \/>\nDr. Joe Mascaro is a tropical ecologist and Director of Academic Programs at Planet, a San Francisco-based aerospace company that operates the largest fleet of Earth-imaging satellites. Joe works with universities and individual investigators to utilize Planet\u2019s unprecedented imaging resources to enhance primary research and education, improve forest monitoring and conservation, expand food security, and promote ecological resilience for some of the world\u2019s most vulnerable communities.<\/p>\n<p><strong>Adam Lewis, <em>Geoscience Australia<\/em><\/strong><br \/>\nDr. Adam Lewis began his career as a Forester in Victoria. He played a lead role in Victoria\u2019s first Geographic Information Systems and in new GIS-based approaches to forest and land planning. On completing his PhD at the ANU, Adam went on to develop the first depth &amp; elevation model of the Great Barrier Reef and its catchments in 1998. In the early 2000\u2019s his work with \u00a0the Great Barrier Reef Marine Park Authority provided the essential information base to support re-zoning of the GBR Marine Park. That project won 2004 the Banksia Environmental Award for Government Leading by Example. Adam now leads Geoscience Australia\u2019s National Earth and Marine Observation Branch, including the Australian Geoscience Data Cube, which was recognized in the Geospatial World Leadership Awards in 2016. The Data Cube is internationally recognized for transforming the analysis of Earth Observation datasets, and is delivering unique new information on Australia\u2019s land, water, and coasts.<\/p>\n<p><strong>Anne Hale Miglarese, Founder and CEO, Radiant.Earth<\/strong><br \/>\nMs. Anne Hale Miglarese is the founding CEO of Radiant.Earth, a non-profit organization working to aggregate the world\u2019s open Earth imagery and providing access and education on its use to the global development community. Prior to launching Radiant.Earth, Anne served as President and CEO of Fugro Earth Data, as President and CEO of PlanetiQ and a Principal Director at Booz Allen Hamilton. Anne has also worked for the National Oceanic and Atmospheric Administration, the SC Water Resources Commission and the SC Department of Natural Resources. Anne was the founding chairperson of the National Geospatial Advisory Committee and served on the Federal Geographic Data Committee Marine and Coastal Data Subcommittee for 6 years.<\/p>\n<h3>TS #25<\/h3>\n<h3>LCMAP Special Session 3: Time Series Research and Development<\/h3>\n<h3>Moderator: James Vogelmann, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 1<\/h3>\n<p>The U.S. Geological Survey (USGS) has a long land cover history, starting with the 1976 landmark <em>A Land Use and Land Cover Classification System for use with Remote Sensor Data<\/em> and including global land cover mapping and the ongoing production of the National Land Cover Database.\u00a0 While these past projects have had a significant impact, land cover data needs are changing due to the demand for increasingly innovative and timely land cover products needed to meet the community\u2019s insatiable appetite for science-quality geospatial land cover and land change data.\u00a0 Recent research on the use of the unprecedented depth of the Landsat archive has resulted in the potential to generate higher quality results that include additional land cover variables, more detailed legends, and more frequent land cover and land change geospatial and statistical information. To capitalize on new capabilities, the USGS is working closely with researchers from Boston University and Texas Tech University to implement the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative.\u00a0 LCMAP is envisioned as an end-to-end capability that uses the rich Landsat record to continuously track and characterize changes in land cover, use, and condition and translate such information into assessments of current and historical processes of cover and change. LCMAP aims to generate science-quality land cover and land change products from current and near-real time Landsat data. All available Landsat data for any given location are used to characterize land cover and change at any point across the full Landsat record and to detect and characterize land cover and land change as it occurs.<br \/>\nThree special sessions will: 1) lay out the foundations of LCMAP; 2) review the initial progress toward developing a new generation of land cover and land change products; and 3) examine how these new products are addressing land change applications.<br \/>\n<strong>Exploring the Landsat Archive Using Time Series Analysis<\/strong><br \/>\nCurtis Woodcock, <em>Boston University<\/em><br \/>\n<strong>Using a 30-year Landsat Time Series of Arctic and Boreal North America to Investigate Climate Change Impacts on Disturbance, Phenology, and Productivity<\/strong><br \/>\nDamien Sulla-Menashe, <em>Boston University<\/em><br \/>\nCurtis Woodcock, Chris Holden, and Mark Friedl<br \/>\n<strong>Impact of Climate Variability on Landsat Time Series and Implications for Change Monitoring<\/strong><br \/>\nChris Holden, <em>Boston University<\/em><br \/>\nCurtis Woodcock<br \/>\n<strong>Monitoring Tropical Forest Degradation Using Time Series Analysis of Landsat Data<\/strong><br \/>\nEric Bullock, <em>Boston University<\/em><br \/>\nCurtis Woodcock<br \/>\n<strong>Using Time Series and Statistical Inference Methods to Estimate Unbiased Land Cover Change Areas in the Colombian Amazon<\/strong><br \/>\nPaulo Arevalo, <em>Boston University<\/em><br \/>\nCurtis Woodcock and Pontus Olofsson<\/p>\n<h3>TS #26<\/h3>\n<h3>Imaging Datasets<\/h3>\n<h3>Moderator: Peter Doucette, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 10<\/h3>\n<p><strong>Joint Agency Commercial Imagery Evaluation (JACIE)<\/strong><br \/>\nGreg Stensaas, <em>U.S. Geological Survey<\/em><br \/>\n<strong>An Update on Spaceborne Remote Sensing<\/strong><br \/>\nJon Christopherson, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\n<strong>Bridging Civilian and National Security Agencies: Update on the Civil Applications Committee<\/strong><br \/>\nPaul Young, <em>U.S. Geological Survey<\/em><br \/>\n<strong>NAIP Orthophotography for Land Cover Mapping Tasks: A Review with Recommendations<\/strong><br \/>\nAaron Maxwell, <em>West Virginia University<\/em><br \/>\nTim Warner<br \/>\n<strong>Global Fiducials Imagery: New Opportunities for Advancing the Use of Remote Sensing to Understand Our Changing Earth<\/strong><br \/>\nBruce Molnia, <em>U.S. Geological Survey<\/em><\/p>\n<h3>TS #27<\/h3>\n<h3>Cropland Mapping and Yield Estimation<\/h3>\n<h3>Moderator: David Johnson, <em>U.S. Department of Agriculture<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 6<\/h3>\n<p><strong>Regional Estimation of Crop Yields from Satellite Imagery: The State of the Science, The State of the Industry<\/strong><br \/>\nDavid Johnson, <em>U.S. Department of Agriculture<\/em><br \/>\n<strong>Updated Methods for Retro Processing: Reprocessing the 2008 Cropland Data Layer<\/strong><br \/>\nAvery Sandborn, <em>U.S. Department of Agriculture<\/em><br \/>\nPatrick Willis, Richard Hardin, Robert Seffrin, and Lee Ebinger<br \/>\n<strong>Fusing Sentinel-1 with Harmonized Landsat Sentinel-2 for Crop Mapping<\/strong><br \/>\nNathan Torbick, <em>Applied GeoSolutions<\/em><br \/>\n<strong>A Unique Global Hyperspectral-Imaging Spectral Library of Agricultural crops (GHISA) to Study Globally Dominant Crops<\/strong><br \/>\nItiya Aneece, <em>U.S. Geological Survey<\/em><br \/>\nPrasad Thenkabail, Terry Slonecker, and Alfredo Huete<br \/>\n<strong>CropRef: Reference Datasets and Techniques to Improve Global Cropland Mapping<\/strong><br \/>\nJun Xiong, <em>U.S. Geological Survey<\/em><br \/>\nPrasad Thenkabail, Russell Congalton, Kamini Yadav, Pardhasaradhi Teluguntla, Adam Oliphant, Murali Krishna Gumma, Richard Massey, and Corryn Smith<\/p>\n<h3>TS #28<\/h3>\n<h3>National-scale Data Coordinated Within the Multi-Resolution Land Characteristics Consortium (MRLC) &#8211; Special Session<\/h3>\n<h3>Moderator: Collin Homer, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 8<\/h3>\n<p>The Multi-Resolution Land Characteristics (MRLC) Consortium demonstrates the national benefits of USA Federal collaboration. Starting in the mid-1990s, MRLC has grown into a group of 10 USA Federal Agencies that coordinate the production of five National products, including the National Land Cover Database (NLCD), the Coastal Change Analysis Program (C-CAP), the Cropland Data Layer (CDL), the Gap Analysis Program (GAP), and the Landscape Fire and Resource Management Planning Tools (LANDFIRE). This session will overview the current status and future plans of these MRLC products.<br \/>\n<strong>The National Land Cover Database, Delivering Land Cover Change Data for the Nation Since 2001: History, Status and Future Plans<\/strong><br \/>\nCollin Homer, <em>U.S. Geological Survey<\/em><br \/>\n<strong>NOAA\u2019s Focus on the Coasts: Bringing High Resolution Land Cover Mapping to the Multi-Resolution Land Characteristics Consortium<\/strong><br \/>\nNate Herold, <em>NOAA Office for Coastal Management<\/em><br \/>\n<strong>10 Years of Annual National Land Cover Products &#8211; the Cropland Data Layer<\/strong><br \/>\nRick Mueller, <em>U.S. Department of Agriculture<\/em><br \/>\n<strong>The NLCD Tree Canopy Cover Data Product<\/strong><br \/>\nGreg Liknes, <em>U.S. Forest Service<\/em><br \/>\n<strong>LANDFIRE Remap &#8211; Developing a New Baseline Product Suite<\/strong><br \/>\nBirgit Peterson, <em>U.S. Geological Survey<\/em><\/p>\n<h3>TS #29<\/h3>\n<h3>Urban and High Resolution Land Cover Mapping<\/h3>\n<h3>Moderator: Kevin Gallo, <em>National Oceanic and Atmospheric Administration<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 11<\/h3>\n<p><strong>Characterizations of Urban Land Cover by NLCD and Other Global Mapping Efforts<\/strong><br \/>\nGeorge Xian, <em>U.S. Geological Survey<\/em><br \/>\n<strong>Urban Land Cover and Impervious Surface Changes in the Great Plains Between 2001 and 2011<\/strong><br \/>\nKevin Gallo, <em>National Oceanic and Atmospheric Administration<\/em><br \/>\nGeorge Xian<br \/>\n<strong>Rapid Estimation of Tree Diversity Using Satellite Remote Sensing Within the Urban Environment<\/strong><br \/>\nAbel Ramoelo, <em>Council for Scientific and Industrial Research<\/em><br \/>\nMoses A. Cho, Sabelo Madonsela, and Sibusisiwe Makhanya<br \/>\n<strong>Shadow Removal in High Resolution Remote Sensing Images Using Local Inpainting Strategy<\/strong><br \/>\nSamara Calcado de Azevedo, <em>S\u00e3o Paulo State University (UNESP)<\/em><br \/>\n<strong>Evaluation of Landsat-Based Change Detection Methods using Ultra-high Resolution Land Cover Datasets<\/strong><br \/>\nMichael Norton, <em>Chesapeake Conservancy<\/em><br \/>\n<strong>Comparison Of Different Similarity Measures For Selection Of Optimal, Information-Centric Bands Of Hyperspectral Images<\/strong><br \/>\nMunmun Baisantry, <em>Indian Institute of Technology Mandi, India<\/em><br \/>\nDericks Shukla and Anil Sao<\/p>\n<h3>TS #30<\/h3>\n<h3>Forest Change &#8211; Disturbance\/Recovery<\/h3>\n<h3>Moderator: Kurtis Nelson, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>10:30 am to 12:00 noon\u2014Room 13<\/h3>\n<p><strong>A Landsat Spectral Ensemble for Forest Disturbance Mapping<\/strong><br \/>\nWarren Cohen, <em>U.S. Forest Service<\/em><br \/>\n<strong>Examining the Relationship Between Landsat Spectral Recovery and Volume Growth on Harvested Sites in the Southeastern United States<\/strong><br \/>\nTodd Schroeder, <em>U.S. Forest Service<\/em><br \/>\n<strong>Edyn: Dynamic Signaling of Subtle yet Persistent Changes to Forests<\/strong><br \/>\nEvan Brooks, <em>Virginia Polytechnic Institute and State University<\/em><br \/>\nZhiqiang Yang, Valerie Thomas, and Randolph Wynne<br \/>\n<strong>Integrating Site- and Non-Site Specific Accuracy Assessments Approaches for Validating Land Change Maps<\/strong><br \/>\nMark Nelson, <em>U.S. Forest Service<\/em><br \/>\n<strong>A 44-Year Time Series of Forest Structure In Northwestern Montana Using the Entire Landsat Archive Length From MSS to OLI (M2O)<\/strong><br \/>\nRick Lawrence, <em>Montana State University<\/em><br \/>\nShannon Savage<\/p>\n<h2>Special Event<\/h2>\n<h2><strong>Geospatial Munch and Meet!<\/strong><\/h2>\n<h2>12 noon to 1:30 pm\u2014Room 1<\/h2>\n<p>Come have lunch and meet industry leaders in geospatial technologies and sciences! The Early Career Professionals Council, Education and Professional Development Committee, Student Advisory Council, and the Corporate (Sustaining) Members Council have joined forces to bring a fun lunchtime experience focusing on getting to know your peers and learning more about what ASPRS has to offer. During the lunch hour, subject matter experts will give short talks about:<br \/>\nMajor advancements and innovations in GIS\/RS\/P science<br \/>\nHow to become an ASPRS Certified Professional<br \/>\nFree and Paid Web Trainings<br \/>\nWhere to find reference\/study material<br \/>\nAND MUCH MORE!!<br \/>\nWe look forward to joining you for lunch on Thursday. Come prepared to take notes on the presentation to win prizes!<\/p>\n<h2>Plenary Sessions<\/h2>\n<h2><strong>New Breakthroughs in Earth Observations and Applications\u2014 Panel Discussion<\/strong><\/h2>\n<p>Moderator: Thomas R. Loveland, <em>USGS<\/em><br \/>\n1:30 PM to 3:00 PM<br \/>\nThe future of land remote sensing and the continuation of Pecora\u2019s vision. Perspectives from panelist on their views on big data, data integration, monitoring, assessment, and projection. Special emphasis on the next generation of land remote sensing with prominent young remote sensing scientists and applications specialists giving their vision for the future.<\/p>\n<p>Panelist<\/p>\n<p>Valerie J. Pasquarella, Postdoctoral Fellow, <em>Northeast Climate Science Center<\/em><br \/>\nDr. Valerie Pasquarella works at the intersection of remote sensing and ecology, using time series of satellite imagery to improve mapping and monitoring of landscape dynamics. She is currently a Postdoctoral Research Associate with the DOI Northeast Climate Science Center and the Department of Environmental Conservation at the University of Massachusetts Amherst. Having lived and worked in Southern New England for over a decade, Dr. Pasquarella actively collaborates with a number of local research groups and land management agencies, and her research has strong regional ties. Ongoing projects include using Landsat time series to improve forest composition mapping and near-real-time monitoring of gypsy moth defoliation. She is also interested in time series approaches to mapping early successional habitat and invasive plant distributions, with a long-term goal of utilizing all available Landsat observations to advance understanding of multi-scale multi-species interactions over large spatial extents.<\/p>\n<p>Todd J. Hawbaker, Research Ecologist, <em>USGS<\/em><br \/>\nDr. Todd Hawbaker is a research ecologist at the USGS Geosciences and Environmental Change Science Center in Lakewood, CO.\u00a0 Prior to joining USGS in 2008, he pursued his graduate work at the University of Wisconsin \u2013 Madison.\u00a0 His research focuses on ecosystem disturbances, their impacts, and the processes driving them. His most recent work has been to develop an algorithm to identify burned areas using dense time series of Landsat data. Which he and his team have applied to the entire archive for the conterminous United States producing a 32-year data set for monitoring fire patterns and impacts.<br \/>\nJustin L. Huntington, Associate Research Professor, <em>Desert Research Institute<\/em><br \/>\nDr. Justin Huntington is an Associate Research Professor at the Desert Research Institute and Western Regional Climate Center in Reno, Nevada. Justin received his Ph.D. in Hydrology from the University of Nevada &#8211; Reno in 2011. His research interests are focused on land surface energy balance measurement and modeling, surface and groundwater interactions, drought, and remote sensing. He is a member of the 2012-2017 Landsat Science Team, and serves on Nevada Governor Brian Sandoval\u2019s drought commission.<\/p>\n<p>John A. Gamon, Professor, Co-Director, <em>CALMIT, University of Nebraska-Lincoln<\/em><br \/>\nDr. John Gamon studies the \u201cbreathing of the planet\u201d &#8211; the exchanges of carbon and water vapour between the biosphere and the atmosphere that affect ecosystem productivity and help regulate our atmosphere and climate. Of particular interest are the effects of disturbance (fires, succession, weather events and climate change) on these basic processes. Additional research questions involve the detection of plant physiology, ecosystem function, species composition, and biodiversity using non-contact sampling methods. Much of this work is done with optical monitoring (remote sensing and automated field methods), and entails the development of new monitoring methods and related informatics tools.<\/p>\n<h3>TS #31<\/h3>\n<h3>Preparing Data for Scientific Analysis and Advancing Access<\/h3>\n<h3>Moderator: Tom Maiersperger, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>3:30 PM &#8211; 5:00 PM\u2014Room 1<\/h3>\n<p><strong>AppEEARS: Providing Easy Access, Extraction, and Fusion of Analysis Ready Data from Multiple Big Earth Science Data Records<\/strong><br \/>\nWilliam (Cory) Alden, <em>Innovate, Inc.<\/em><br \/>\nCole Krehbiel, Tom Maiersperger, Lindsey Harriman, Aaron Friesz, Rob Quenzer, Kevin Impecoven,\u00a0 Aafaque Aafaque, and Chris Doescher,<br \/>\n<strong>Making Remote Sensing Data \u201cJust Work\u201d Using Standards-based Web Services<\/strong><br \/>\nAaron Friesz, <em>Innovate, Inc.<\/em><br \/>\n<strong>An Open Data Cube Architecture for Water Management and Land Change Assessment<\/strong><br \/>\nBrian Killough, <em>National Aeronautics and Space Administration<\/em><br \/>\n<strong>Validation of Operational Cloud and Cloud Shadow Detection Algorithms for Landsat Data<\/strong><br \/>\nPat Scaramuzza, <em>Stinger Ghaffarian Technologies, Inc.<\/em><\/p>\n<h3>TS #32<\/h3>\n<h3>Phenology<\/h3>\n<h3>Moderator: Jesslyn Brown, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>3:30 PM &#8211; 5:00 PM\u2014Room 6<\/h3>\n<p><strong>Assessment of Vegetation Greenness Trends (1989 &#8211; 2016) and the Responses to Climatic Variability in the Conterminous Unites States<\/strong><br \/>\nLei Ji, <em>ASRC InuTeq<\/em><br \/>\nJesslyn Brown<br \/>\n<strong>Influence of Extreme Weather on Land Surface Phenology in the United States in Last Three Decades<\/strong><br \/>\nLingling Liu, <em>South Dakota State University<\/em><br \/>\nXiaoyang Zhang<br \/>\n<strong>Impacts of Wildfires on Land Surface Phenology of Western US Forests<\/strong><br \/>\nJianmin Wang, <em>South Dakota State University<\/em><br \/>\nXiaoyang Zhang<br \/>\n<strong>What Can Phenometric Lapse Rates Tell Us About Change in Highland Pastures?<\/strong><br \/>\nGeoffrey Henebry, <em>South Dakota State University<\/em><br \/>\nMonika Tomaszewska, and Kamilya Kelgenbaeva<br \/>\n<strong>Impacts of Interannual Variation in Data Quality from AVHRR, MODIS and VIIRS Time Series on Land Surface Phenology Detection<\/strong><br \/>\nXiaoyang Zhang, <em>South Dakota State University<\/em><br \/>\n<strong>Inter-Comparison of MODIS and VIIRS Vegetation Indices Using One-Year Global Data<\/strong><br \/>\nTomoaki Miura, <em>University of Hawaii-Manoa<\/em><\/p>\n<h3>TS #33\u2014Special Session<\/h3>\n<h3>National Land Cover Database: Past, Present and Future<\/h3>\n<h3>Moderator: Collin Homer, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>3:30 PM &#8211; 5:00 PM\u2014Room 8<\/h3>\n<p>This session will overview the design, products and status for NLCD 2016 and future programmatic plans for NLCD. NLCD 2016 products include land cover and urban imperviousness re-mapped for 2001-2016, tree canopy produced for 2011- 2016, and new 2016 products of percent shrub, bare ground and herbaceousness. NLCD 2016 is expected to be more accurate and comprehensive than any previous NLCD release, and will offer users an unprecedented set of land cover and land cover change products designed to continue, expand and advance NLCD applications.<br \/>\n<strong>NLCD 2016 Past and Present Product Comparison<\/strong><br \/>\nJon Dewitz, <em>U.S. Geological Survey<\/em><br \/>\nSuming Jin<br \/>\n<strong>NLCD 2016 Landcover Design<\/strong><br \/>\nSuming Jin, <em>ASRC InuTeq<\/em><br \/>\nLimin Yang, Patrick Danielson, Jon Dewitz, Collin Homer, and George Xian<br \/>\n<strong>NLCD 2016 Imperviousness Product<\/strong><br \/>\nJon Dewitz, <em>U.S. Geological Survey<\/em><br \/>\nMichelle Funk<br \/>\n<strong>NLCD 2016 Shrub and Grass Products<\/strong><br \/>\nCollin Homer, <em>U.S. Geological Survey<\/em><br \/>\n<strong>NLCD Future Plans<\/strong><br \/>\nGeorge Xian, <em>U.S. Geological Survey<\/em><br \/>\nCollin Homer<\/p>\n<h3>TS #34<\/h3>\n<h3>Wetlands and Surface Water Bodies<\/h3>\n<h3>Moderator: Sandra Poppenga, <em>U.S. Geological Survey<\/em><\/h3>\n<h3>3:30 PM &#8211; 5:00 PM\u2014Room 11<\/h3>\n<p><strong>Tracking Pluvial-Related Expansion and Contraction of Water Bodies in the South Dakota Prairie Pothole Region Using the Landsat Record with an Object-Based Image Analysis Approach<\/strong><br \/>\nNathan Roberts, <em>Penn State University<\/em><br \/>\nDouglas Miller<br \/>\n<strong>Characterizing Wetland Landscapes with Landsat Dense Time Series Data<\/strong><br \/>\nJennifer Rover, <em>U.S. Geological Survey<\/em><br \/>\nAlisa Gallant, and Qiang Zhou<br \/>\n<strong>Utilizing NASA Earth Observations to Model Past and Present Distributions of Invasive Species in Alaskan Wetlands<\/strong><br \/>\nTimothy Mayer,\u00a0<em> Science Systems and Applications, Inc.<\/em><br \/>\nEmma Hatcher, Sarah Carroll, Audrey Martinez, and Brian Woodward<br \/>\n<strong>Annual Maps of Water-Related Land Cover Types (Open Surface Water Body, Natural Wetlands, and Paddy Rice) Through Analyses of Landsat Images in Google Earth Engine<\/strong><br \/>\nXiangming Xiao, <em>University of Oklahoma<\/em><br \/>\nZhenhua Zou, Geli Zhang, Jinwei Dong, and Bangqian Chen<\/p>\n<h3>TS #35<\/h3>\n<h3>Mapping for Management and Species Dynamics<\/h3>\n<h3>Moderator: Warren Cohen, <em>U.S. Forest Service<\/em><\/h3>\n<h3>3:30 PM &#8211; 5:00 PM\u2014Room 13<\/h3>\n<p><strong>Identification of Moderate Intensity Forest Management in the Southeastern U.S. with Multitemporal Landsat<\/strong><br \/>\nValerie Thomas, <em>Virginia Tech<\/em><br \/>\nRandolph Wynne, Evan Brooks, Quinn Thomas, Louise Chini, R. Bin Mei, and David Wear<br \/>\n<strong>Using Google Earth Engine and Landsat Time Series to Model National Forest Inventory Variables<\/strong><br \/>\nTy Wilson, <em>U.S. Forest Service<\/em><br \/>\n<strong>Mapping and Quantifying Biodiversity and Ecosystem Services Related to Terrestrial Vertebrates: A National Approach<\/strong><br \/>\nKenneth Boykin, <em>New Mexico State University<\/em><br \/>\nWilliam Kepner, Anne Neale, and Kevin Gergely<br \/>\n<strong>Mangrove Mapping and Monitoring Using Earth Observation Satellite Data<\/strong><br \/>\nChandra Giri, <em>Environmental Protection Agency<\/em><br \/>\n<strong>Using Unmanned Aerial Systems to Evaluate Shrub Community Characteristics in a Semi-Arid Landscape<\/strong><br \/>\nR. Douglas Ramsey, <em>Utah State University<\/em><br \/>\nChristopher McGinty<\/p>\n<h2>Posters<\/h2>\n<p><strong>Advancing the Use of Remote Sensing to Understand our Changing Earth<\/strong><br \/>\n<strong>WorldView-3 SWIR Landuse-Landcover Mineral Classification: Cuprite, Nevada<\/strong><br \/>\nKathleen E. Johnson, <em>DigitalGlobe, Inc<\/em><br \/>\nK. Koperski<br \/>\n<strong>Google Earth Engine for Eigenspace Spectral and Temporal Transforms of Landsat 8 and Sentinel-2 Data Sets<\/strong><br \/>\nLance D. Yarbrough, <em>The University of Mississippi<\/em><br \/>\nGreg Easson and Eleanor Dietz<br \/>\n<strong>Validation of the Operational SNPP VIIRS GVF Product using High Resolution Google Earth images<\/strong><br \/>\nZhangyan Jiang, <em>IMSG <\/em>at<em> NOAA\/NESDIS\/STAR<\/em><br \/>\n<strong>Development of a Semi-automated Process to Map Agriculture in the Upper Rio Grande Basin During the 2015 Growing Season using Spectral Grouping<\/strong><br \/>\nVictoria G. Stengel, <em>U.S. Geological Survey<\/em><br \/>\nDiana E. Pedraza<br \/>\n<strong>Evaluation of SMAP at Forested Sites Across a Rainfall Gradient in Northern Minnesota<\/strong><br \/>\nGreg Liknes, <em>Bemidji State University<\/em><br \/>\nWilliam Sea<br \/>\n<strong>Requirements, Capabilities and Analysis for Earth Observations (RCA-EO)<\/strong><br \/>\nGreg Stensaas, <em>U.S. Geological Survey<\/em><br \/>\n<strong>Snow Cover Seasonality, Trends, and Change Analysis for Kyrgyzstan using MODIS: 2000-2016<\/strong><br \/>\nMonika A. Tomaszewska, <em>South Dakota State University<\/em><br \/>\nKamilya Kelgenbaeva and Geoffrey M. Henebry<br \/>\n<strong>AmericaView<\/strong><br \/>\n<strong>Update on the Iowa Best Management Practice Inventory, Applications and Associated Datasets<\/strong><br \/>\nRobin McNeely, <em>IowaView &#8211; Iowa State University<\/em><br \/>\n<strong>Modeling the Effects of Environmental Change on Crucial Wildlife Habitat<\/strong><br \/>\nKenneth G. Boykin, <em>New MexicoView\/New Mexico State University<\/em><br \/>\nEric Ariel L. Salas, Virginia A. Seamster, Nicole M. Harings, and Keith W. Dixon<br \/>\n<strong>Using Remote Sensing Data to Improve Geographic Assessments of UV-B Radiation and its Climatology from a Sparse Ground Monitoring Network<\/strong><br \/>\nMichael Coughenour, <em>UV-B Monitoring and Research Program, Colorado State University<\/em><br \/>\n<strong>Aligning Earth Observation Technologies with Next Generation Science Standards<\/strong><br \/>\nChandi Witharana, <em>Department of Natural Resources and the Environment, ConnecticutView, University of Connecticut<\/em><br \/>\nJames Hurd<br \/>\n<strong>South Dakota LiDAR Factsheet<\/strong><br \/>\nMary O\u2019Neill, <em>South Dakota State University\/AmericaView<\/em><br \/>\n<strong>RealEarth: Visualize Your Data<\/strong><br \/>\nSam Batzli, <em>WisconsinView<\/em><br \/>\n<strong>New Methods for Integrating Remote Sensing Imagery and Modeled Inundation Libraries for Rapid Flood Mapping<\/strong><br \/>\nKevin Dobbs, <em>AmericaView\/KansasView<\/em><br \/>\n<strong>Mapathon\u2014A Volunteer Geographic Information Mapping for Humanitarian Relief<\/strong><br \/>\nPia van Benthem, <em>University of California-Davis<\/em><br \/>\n<strong>Integration of Landsat-8 and high-resolution imagery, and LiDAR to improve mapping of water bodies at regional scales<\/strong><br \/>\nHaluk Cetin, <em>Murray State University<\/em><br \/>\n<strong>Incorporating Remote Sensing into K-12 Project-Based Science Curricula<\/strong><br \/>\nNancy H.F. French, <em>Michigan Tech Research Institute<\/em><br \/>\nMichael J. Battaglia<br \/>\n<strong>Working with Time-series Landsat Big Data: A Workflow and Experiences with Open Source Software<\/strong><br \/>\nJeong Seong, <em>University of West Georgia<\/em><br \/>\n<strong>Mapping and Monitoring Shelterbelt Dynamics in the Red River of the North Valley using Naip and Lidar Data<\/strong><br \/>\nBradley Rundquist, <em>University of North Dakota<\/em><br \/>\nMorgen Burke and Earl Klug<br \/>\n<strong>Applications of Remote Sensing for Improving Decision-making<\/strong><br \/>\n<strong>High Density LiDAR Acquisition for Forest Resource Assessment, Applications and Initial Results from a Study in Northern Minnesota<\/strong><br \/>\nScott Hillard, <em>Minnesota Department of Natural Resources<\/em><br \/>\nDennis Kepler<br \/>\n<strong>Unsupervised Classification of Earth Surface for Landslide Detection<\/strong><br \/>\nCaitlin Tran,<em> California State Polytechnic University-Pomona<\/em><br \/>\nJessica Fayne, Omar Mora, and Joy Sellman<br \/>\n<strong>All Quiet on the Northern Front: Remote Sensing Based Retrospection of Human Wellbeing in the Armed-Conflicted Areas of Sri Lanka<\/strong><br \/>\nChandi Witharana, <em>University of Connecticut<\/em><br \/>\n<strong>Utilizing Sentinel-2 Satellite Imagery for Precision Agriculture over Potato Fields In Lebanon<\/strong><br \/>\nHanan Abou Ali, <em>Idaho State University<\/em><br \/>\nDonna M. Delparte and L. Michael Griffel<br \/>\n<strong>Applied Remote Sensing as a Means to Assess Brush Control in Western Rangelands<\/strong><br \/>\nChandra Holifield Collins, <em>USDA-ARS Southwest Watershed Research Center<\/em><br \/>\nSusan Skirvin, Mark Kautz, and Loretta Metz<br \/>\n<strong>Global SSEBop Evapotranspiration for Drought Monitoring Purposes<\/strong><br \/>\nStefanie Kagone, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\n<strong>Expedited Start of Growing Season Estimates Assist Rapid Prediction of Invasive Cheatgrass in the Great Basin<\/strong><br \/>\nBruce B. Worstell, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\nStephen Boyte, Danny Howard, Jesslyn Brown, Bruce Wylie, and Devendra Dahal<br \/>\n<strong>Applying Object-based Image Analysis to the Search for World War II Era Unexploded Bombs Using High-Resolution Multi-temporal and Multi-source Data<\/strong><br \/>\nCynthia A. Miller, <em>Minnesota State University, Mankato<\/em><br \/>\nBryan P. Byholm, Anna K. Brand, and Fei Yuan<br \/>\n<strong>Selection of Ratings &amp; Weightages for Preparation of Landslide Susceptibility Zonation (LSZ)<\/strong><br \/>\nSharad Kumar Gupta, <em>Indian Institute of Technology, Mandi<\/em><br \/>\nDericks Praise Shukla<br \/>\n<strong>Genetic Algorithm Based Stereo Image Correspondence Using Multi-objective Fitness Function For Remotely Sensed Images<\/strong><br \/>\nManimala Mahato,<em> Indian Institute of Technology<\/em><br \/>\nShirish S. Gedam, Jyoti Joglekar, and B. Krishna Mohan<br \/>\n<strong>Assessing Sustainable Urban Rooftop Designs through the usage of Small Unmanned Aerial Systems and Satellite Imagery: A case study in Auburn, Alabama<\/strong><br \/>\nChandana Mitra, <em>Auburn University<\/em><br \/>\nAustin Bush and Seth Greer<br \/>\n<strong>Building Capacity to Use NASA Earth Observations through the NASA DEVELOP Program<\/strong><br \/>\nLauren Childs-Gleason, <em>National Aeronautics and Space Administration<\/em><br \/>\n<strong>The Study of Forest Cover Change in Puerto Rico since 1970s using Satellite Imagery<\/strong><br \/>\nFei Yuan, <em>Minnesota State University-Mankato<\/em><br \/>\nJose Javier Lopez, Sabrina Arnold, Anna Brand, Jonas Klein, Maureen Schmidt, Erin Moseman, and Madeline Michels-Boyce<br \/>\n<strong>Assimilation of Earth Observations into Land Surface Dynamic Models General Circulation Models and other Earth System Models<\/strong><br \/>\n<strong>Development of Global Gridded Vegetation Products From S-NPP VIIRS for NCEP Environmental Modeling Systems<\/strong><br \/>\nJingfeng Huang, <em>National Oceanic and Atmospheric Administration<\/em><br \/>\nMingshi Chen, Zhangyan Jiang,\u00a0 Min Li,\u00a0 Tomoaki Miura, Marco Vargas, and Ivan Csiszar<br \/>\n<strong>Challenges and Innovations in Big Data Analysis for Solving Complex Largescale Problems<\/strong><br \/>\n<strong>Tutorials and Services for Working with Multiple Land Remote Sensing Data Products<\/strong><br \/>\nCole Krehbiel, <em>Innovatel, Inc.<\/em><br \/>\nAaron Friesz, Tom Maiersperger, Lindsey Harriman, William (Cory) Alden, and Chris Doescher<br \/>\n<strong>Using Google Earth Engine to Map Water Use and Availability<\/strong><br \/>\nMac Friedrichs, <em>Stinger Ghaffarian Technologies, Inc.<\/em><br \/>\n<strong>Big Data, Small Farms: Lessons Learned from Integrating Data Science Approaches with Remote Sensing of Smallholder and Urban Agriculture<\/strong><br \/>\nJessica L. McCarty, <em>Miami University<\/em><br \/>\nChristoper S.R. Neigh,\u00a0 Mark L. Carroll, Margaret R. Wooten, Molly E. Brown, Glenn M. Sullivan, Rahel Diro, Daniel E. Osgood, Markus Enenkel, and Bristol F. Powell<br \/>\n<strong>Emerging Roles for Smallsats and Airborne Systems in Operational Monitoring<\/strong><br \/>\n<strong>Multiuser Perspectives on Experimental UAS Flight Operations<\/strong><br \/>\nTimmera Whaley<br \/>\nJason Tullis<br \/>\n<strong>Landsat and Sentinel-2: Comparisons Cross-calibrations and Synergies<\/strong><br \/>\n<strong>Monitoring Chlorophyll-a of the Western Basin of Lake Erie with Sentinel-2A and Landsat 8 imagery<\/strong><br \/>\nAnita Simic Milas, <em>Bowling Green State University<\/em><br \/>\n<strong>Assessing Three Satellite-derived Burned Area Products and Combining with Medium Resolution Data for Characterizing Peatland Fires<\/strong><br \/>\nYenni Vetrita, <em>South Dakota State University<\/em><br \/>\nMark A. Cochrane, Suwarsono Suwarsono, Any Zubaidah, and Erianto I. Putra<br \/>\n<strong>New initiatives for Monitoring and Projecting Land and Water Cover Use And Change<\/strong><br \/>\n<strong>Identifying Forest Conversion Hotspots in the Commonwealth of Virginia Through the Use of Landsat and Known Change Indicators<\/strong><br \/>\nMatthew N. House, <em>Virginia Tech<\/em><br \/>\nRandolph H. Wynne<br \/>\n<strong>Assessing Land Cover Change During Drought Period in a Coastal Area of Binh Thuan province, Vietnam Using High Resolution Imagery<\/strong><br \/>\nJames B. Campbell, <em>Virginia Tech<\/em><br \/>\nHoa Tran and Randolph H. Wynne<br \/>\n<strong>Developing Unbiased Global Et Dataset using an Automated Bias Correction Approach<\/strong><br \/>\nNaga Manohar Velpuri, <em>ASRC InuTeq<\/em><br \/>\nGabriel Senay, Stefanie Kagone, and MacKenzie Friedrichs<br \/>\n<strong>Gross Primary Productivity and Seasonal Distribution of Alpine Wetlands from 2001 to 2016 in the Gunnison River Basin, CO<\/strong><br \/>\nSami Chen, <em>Stanford University<\/em><br \/>\nKate Maher<br \/>\n<strong>Land Surface Phenologies and Seasonalities of Croplands and Grasslands in the Prairie Pothole Region Using Passive Microwave Data 2003-2015<\/strong><br \/>\nWoubet G. Alemu, <em>South Dakota State University<\/em><br \/>\nGeoffrey M. Henebry<br \/>\n<strong>The Land Product Characterization System: A Tool for Comparative Analysis of Satellite Data and Products<\/strong><br \/>\nKevin Gallo, <em>National Oceanic and Atmospheric Administration<\/em><br \/>\n<strong>Methods for Converting Continuous Shrubland Ecosystem Component Values to Thematic National Land Cover Database Classes<\/strong><br \/>\nLeila Gass, <em>U.S. Geological Survey<\/em><br \/>\nMatthew Rigge, Collin Homer, and George Xian<br \/>\n<strong>Estimating Percent Tree Canopy Cover Using Landsat Time-Series<\/strong><br \/>\nJill M. Derwin, <em>Virginia Tech<\/em><br \/>\nValerie Thomas, Randolph Wynne, Evan B. Brooks, Christine E. Blinn, Greg Liknes, John Coulston, Mark Finco, Kevin Megown, Gretchen Moisen, Chris Toney, Robert Benton, K. Schelleweis, and Bonnie Ruefenacht<br \/>\n<strong>Changes In Land Use and Consumptive Water Use in Central California<\/strong><br \/>\nMartha Anderson, <em>U.S. Department of Agriculture<\/em><br \/>\nKyle Knipper, Wayne Dulaney, Joe Alfieri, Bill Kustas, Yun Yang, Dennis Baldocchi, Feng Gao, and Chris Hain<br \/>\n<strong>Mapping Evapotranspiration for Historical (1984-2015) Water Use and Availability in the Upper Rio Grande River Basin using the Landsat Archive<\/strong><br \/>\nMatt Schauer,<em> Innovate!, Inc.<\/em><br \/>\n<strong>Mapping Evapotranspiration for Historical (1984-2015) Water use and availability in the Upper Rio Grande River Basin using the Landsat Archive<\/strong><br \/>\nMatt Schauer, <em>Innovate!, Inc.<\/em><br \/>\n<strong>2016 Tree Canopy Cover for the National Land Cover Database: Production Data, Methods, Uses, and a Tour through American Landscapes<\/strong><br \/>\nStacie Bender, <em>U.S. Forest Service<\/em><br \/>\nWendy Goetz, Mark Finco, Bonnie Ruefenacht, Greg Liknes, and Kevin Megown<\/p>\n<h2>Social Events<\/h2>\n<h2>Welcome Lunch<\/h2>\n<h2>Tuesday, November 14th, 12:00 pm to 1:00 pm\u2014Exhibit Hall 2<\/h2>\n<p>Have lunch on us! Come to the Exhibit Hall to visit with the wonderful exhibiting companies in attendance and grab a quick lunch. A great way to begin your Symposium week.<br \/>\nAdmission to this event is included with most registrations.<\/p>\n<h2>Exhibitors\u2019 Reception<\/h2>\n<h2>Tuesday, November 14th, 5:30 pm to 7:30 pm\u2014Exhibit Hall 2<\/h2>\n<p>Take this wonderful opportunity to visit with the national and international suppliers exhibiting at the Symposium. An ASPRS tradition, the Exhibitors\u2019 Reception is a perfect time to mingle with fellow attendees, thank the Conference Exhibitors\u2019, our hosts for the evening, and stop by to view the wonderful Posters on display and interact with the authors. The evening is sure to provide a relaxed environment with light hors d\u2019oeuvres and beverages and a time to come together with old and new friends.<\/p>\n<h2>Admission to this event is included with most registrations.<\/h2>\n<h2><strong>Posters Sessions<\/strong><\/h2>\n<h2>5:30 pm to 7:30 pm\u2014Exhibit Hall 2<\/h2>\n<p>Take time to view the various posters on display and speak with the presenter. Poster presenters are asked to be near their work at this time and available to answer questions and expand on their research. In addition, poster presenters are requested to be near their poster during lunch breaks, as their schedule allows. Posters will be on display throughout the conference and open for viewing.<\/p>\n<h2>Lunch with Exhibitors\u2019<\/h2>\n<h2>Wednesday and Thursday, November 15th and 16th; 12:00 pm to 1:30 pm\u2014Exhibit Hall 2<\/h2>\n<p>Take some time out of your busy week and have lunch with Exhibitors. A much needed 90-minute break in the middle of the day will surely refresh you with a complimentary lunch and some good conversation. Take time to meet with our generous exhibiting companies, view posters, and even catch&#8211;up with friends.<br \/>\nAdmission to this event is included with most registrations.<\/p>\n<h2>Landsat\u2019s Enduring Legacy Book Unveiling<\/h2>\n<h2>Wednesday, November 15th 5:30 pm to 7:30 pm\u2014 Exhibit Hall 2<\/h2>\n<p>Join us at a special evening session for the unveiling of the Landsat Legacy book and take the opportunity to meet the book\u2019s authors.\u00a0 After more than 15 years of research and writing, the Landsat Legacy Project Team and the ASPRS have published a seminal work on the nearly half-century of monitoring Earth\u2019s lands with Landsat.\u00a0 Born of technologies that evolved from the Second World War, Landsat not only pioneered global land monitoring, in the process it also drove innovation in digital imaging technologies and encouraged development of global imagery archives. Access to this imagery led to early breakthroughs in natural resources assessments, particularly for agriculture, forestry, and geology.\u00a0 With the emergence of twenty-first century Earth system science research, the full value of the Landsat concept and its continuous 45-year global archive has only recently been recognized and embraced.\u00a0 This pioneering satellite system\u2019s vital history is captured in this notable book.<\/p>\n<h2>Refreshment Breaks &#8211; Exhibit Hall<\/h2>\n<h2>Exhibit Hall 2<\/h2>\n<p>Each day of the symposium refreshment breaks will be served in the Exhibit Hall. Take a break from the technical track sessions to network, visit the fantastic booths, and grab cup of coffee or soda.<br \/>\nAdmission to this event is included with most registrations.<\/p>\n<p>\n<\/div><\/div><\/div><\/div><\/div><\/section><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1310","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/posts\/1310","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/comments?post=1310"}],"version-history":[{"count":41,"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/posts\/1310\/revisions"}],"predecessor-version":[{"id":1392,"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/posts\/1310\/revisions\/1392"}],"wp:attachment":[{"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/media?parent=1310"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/categories?post=1310"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/pecora.asprs.org\/pecora20\/wp-json\/wp\/v2\/tags?post=1310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}