GC007
Advances in Earth Observation and Modeling for Agriculture, Forestry, and Urban Applications

Session ID#: 159302

Session Description:
Synopsis: Humans have transformed the Planet Earth through agriculture, forestry, and urbanization. Spaceborne Earth observations have been used for characterizing and monitoring of agriculture, forestry, and urban areas, which has resulted in many data products. The assimilation of Earth observations and data products into various models have also improved modeling and forecasting capacity and skill for agriculture, forestry, and urban applications. This session welcomes contributions that (1) develop new Earth observation data products for agriculture, forestry, and urban areas from diverse satellite platforms, including but not limited to, TROPOMI, OCO-2/3, SMOS, MODIS, Landsat, Sentinel-1/2, ALOS/PALSAR, GEDI, and GeoCarb, (2) assimilate Earth observation data products into various models to predict the spatial-temporal dynamics of agriculture, forestry, and urban areas, and (3) develop decision support tools that improve management and planning of agriculture, forestry, and urban areas in support of the United Nations' Sustainable Development Goals.
Index Terms:

1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1632 Land cover change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]

Primary Convener:  Xiangming Xiao, University of Oklahoma Norman Campus, Department of Microbiology and Plant Biology, Norman, United States
Conveners:  Yuanwei Qin, University of Oklahoma Norman Campus, Norman, OK, United States and Russell Doughty, California Institute of Technology, Pasadena, CA, United States
Student/Early Career Convener:  Jorge Andres Celis, University of Oklahoma Norman Campus, Norman, OK, United States
 
Urban vegetation exhibits enhanced drought resistance in comparison to rural vegetation (1049157)
Peng Fu, Harrisburg University of Science and Technology; Center for Environment, Energy, and Economy, Harrisburg, United States; University of Illinois, Champaign, United States, Leiqiu Hu, University of Alabama in Huntsville, Huntsville, United States, Elizabeth A. Ainsworth, University of Illinois at Urbana-Champaign, Department of Plant Biology and Carl. R. Woese Institute for Genomic Biology, Urbana, IL, United States, Xiaonan Tai, New Jersey Institute of Technology, Edison, United States, Soe Win Myint, Arizona State University, School of Geographical Sciences & Urban Planning, Tempe, AZ, United States, Wenfeng Zhan, Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing, China, Bethany Blakely, University of Illinois at Urbana Champaign, Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States and Carl Bernacchi, Global Change and Photosynthesis Research Unit, Agricultural Research Service, USDA, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Department of Plant Biology and Carl. R. Woese Institute for Genomic Biology, Urbana, United States
 
Supporting both food security and climate change mitigation with abandoned cropland: potential and trade-offs (1050137)
Qiming Zheng1, Tim Ha1, Alexander V. Prishchepov2, Yiwen Zeng3, He Yin4 and Lian Pin Koh1, (1)National University of Singapore, Singapore, Singapore, (2)University of Copenhagen, Copenhagen, Denmark, (3)Princeton University, Princeton, United States, (4)Kent State University, Department of Geography, Kent, OH, United States
 
Evaluating the Temporal Robustness of NISAR’s Cropland Mapping over a Stable and a Planting-Prevented Agricultural Region (1053567)
Simon Kraatz1, Michael H Cosh1, Eunsang Cho2, Nathan Torbick3, Xiaodong Huang4 and Paul Robert Siqueira5, (1)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, United States, (2)NASA Goddard Space Flight Center & University of Maryland College Park, Greenbelt, United States, (3)Hummingbird Technologies Ltd, Durham, United States, (4)JPL/NASA/Caltech, Pasadena, United States, (5)University of Massachusetts Amherst, Amherst, MA, United States
 
Using Machine Learning and Earth Observation to Forecast Crop Yields in Kenya (1056120)
Alana Ginsburg, University of Maryland College Park, College Park, MD, United States, Catherine Lilian Nakalembe, University of Maryland College Park, Geographical Sciences, College Park, MD, United States and Ritvik Sahajpal, University of Maryland, College Park, MD, United States
 
A Novel Algorithm for Near Real Time Crop Progress Monitoring at Field Scales by Fusing Observations from Harmonized Landsat and Sentinel-2 and Geostationary Satellites (1056915)
Yu Shen1, Xiaoyang Zhang2, Zhengwei Yang3, Jianmin Wang4, Yongchang Ye5, Weile Wang6 and Yuxia Liu4, (1)South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States, (2)Geospatial Sciences Center of Excellence (GSCE), Brookings, United States, (3)USDA National Agricultural Statistics Service, Research and Development Division, Washington, United States, (4)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, (5)Geospatial Sciences Center of Excellence (GSCE), South Dakota State University, Brookings, SD, United States, (6)CSUMB & NASA/AMES, Seaside, United States
 
Predicting crop yields using satellite solar-induced chlorophyll fluorescence without ground calibration (1058193)
OZ Kira1, Jiaming Wen2, Jimei Han2, Lianhong Gu3, Christopher B Barrett4, Andrew James McDonald5, Ariel Ortiz Bobea6 and Ying SUN7, (1)Ben-Gurion University of the Negev, Beer Sheva, Israel, (2)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, NY, United States, (3)Oak Ridge National Laboratory, Oak Ridge, United States, (4)Cornell University, Applied Economics and Management, Ithaca, NY, United States, (5)Cornell University, Ithaca, United States, (6)Cornell University, Ithaca, NY, United States, (7)Cornell University, School of Integrative Plant Science, Soil and Crop Sciences Section, Ithaca, United States
 
Tree Condition and Analysis Program (TreeCAP) – Locating dead and dying trees across the contiguous United States with high resolution imagery (1060241)
Sarah Wegmueller, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States, William B Monahan, US Forest Service, Forest Health Protection, Forest Health Assessment and Applied Sciences Team, Fort Collins, United States and Philip A Townsend, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, United States
 
APSIM-cotton modeling to optimize regional climate warming impact on crop phenology under arid and drip irrigated conditions (1061281)
Adnan Arshad, PODA - Pakistan, Climate-smart Agriculture Education, Islamabad, Pakistan
 
Spatial modeling of Oak Wilt (Bretziella fagacearum) distribution and controlling factors in Northern Wisconsin, USA using environmental datasets derived from remote sensing (1064046)
Caleb Stevens, University of Wisconsin Madison, Madison, WI, United States, Jun Zhu, University of Wisconsin Madison, Departments of Statistics and Entomology, Madison, WI, United States and Jingyi Huang, University of Wisconsin Madison, Soil Science, Madison, WI, United States
 
Using Satellite Observations to Understand Urban Expansion Dynamics of the West Africa Urban System (1073018)
Andrews Korah, Michael C Wimberly and Michael R Glessner, University of Oklahoma Norman Campus, Geography and Environmental Sustainability, Norman, United States
 
Modeling Two Decades of Russian Winter Wheat Expansion & Intensification (1073237)
Christian Abys, University of Maryland College Park, College Park, MD, United States and Sergii Skakun, University of Maryland College Park, Department of Geographical Sciences, College Park, United States
 
Development of a 10 m Resolution Maize and Soybean Map Over China (1079673)
Haijun Li1,2, Xiao-Peng Song1,2, Matthew Hansen1, Inbal Becker-Reshef1, Bernard Adusei1, Jeffrey Pickering1, Li Wang3, Lei Wang3, Zhengyang Lin4, Viviana Zalles1, Peter Potapov1, Stephen V. Stehman5 and Christopher Owen Justice1, (1)University of Maryland, Department of Geographical Sciences, College Park, United States, (2)Texas Tech University, Department of Geosciences, Lubbock, United States, (3)State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, (4)Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China, (5)State University of New York, College of Environmental Science and Forestry, Syracuse, United States
 
Using nontraditional water sources and implementing water conservation practices under changing climate. (1081527)
Azbina Rahman, University of Maryland College Park, College Park, MD, United States, Masoud Negahban-Azar, University of Maryland College Park, Environmental Science and Technology, College Park, MD, United States and Adel Shirmohammadi, Professor, Former Associate Dean for Research and Associate Director of Maryland Ag. Experiment Station (MAES), Environmental Science and Technology, College Park, United States
 
CropSow: an integrative remotely sensed crop modeling framework for field-level crop planting data estimation (1084030)
Yin LIU1, Chunyuan Diao2, Zijun Yang2 and Emerson D Nafziger3, (1)University of Illinois at Urbana Champaign, Department of Geography & Geographic Information Science, Urbana, United States, (2)University of Illinois at Urbana-Champaign, Department of Geography & Geographic Information Science, Urbana, United States, (3)University of Illinois at Urbana Champaign, Department of Crop Sciences, Urbana, IL, United States
 
Mapping Paddy Rice Fields by Sentinel-1 Time Series in Yunlin, Taiwan (1086204)
Jui Han Yang and Kuo-Hsin Tseng, National Central University, Taoyuan, Taiwan
 
Evaluating applicability of 1D light attenuation in crop modeling with GPU accelerated 3D forward ray tracer in a maize canopy (1086870)
Antriksh Srivastava and Venkatraman Srinivasan, Indian Institute of Technology Madras, Chennai, India
 
Using Earth Observation to Measure Shifting Patterns in Ukrainian Agriculture During Conflict in Near-Real-Time (1094548)
Sarah Hartman, University of California Berkeley, Environmental Science, Policy, and Management, Berkeley, United States, Iryna Dronova, University of California Berkeley, Depts. of Environmental Science, Policy & Management and Landscape Architecture and Environmental Planning, Berkeley, CA, United States and Paolo D'Odorico, University of California Berkeley, Environmental Science, Policy, and Management, Berkeley, CA, United States
 
Sweetpotato Yield Forecasting at the County Scale Through Machine Learning and Satellite Remote Sensing (1099374)
Mariella Carbajal Carrasco and Natalie Nelson, North Carolina State University, Biological and Agricultural Engineering, Raleigh, United States
 
A Comparison between Different Crop Models for Simulating Soil Temperature (1099757)
Janani Kandasamy, George Mason University Fairfax, Fairfax, VA, United States
 
Crop Type Mapping Case Study in the Lower Mekong Basin based on Transfer Learning Techniques using GEDI and Multispectral Earth Observation Data (1111402)
Stephanie Jimenez, SERVIR | University of Alabama in Huntsville, Huntsville, United States, Timothy Mayer, University of Alabama in Huntsville, Huntsville, AL, United States and Aparna Phalke, University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States
 
Applying Convolutional Neural Network (CNN) Classification of WorldView-3 Satellite Imagery to Distinguish Vegetation Species at Treeline in Rocky Mountain National Park (1115508)
Laurel Sindewald1, Matthew Cross2, Ted A Scambos3, Ryan Lagerquist4, Peter Anthamatten5 and Diana Tomback1, (1)University of Colorado Denver, Integrative Biology, Denver, United States, (2)University of Colorado Denver, Denver, CO, United States, (3)University of Colorado, Boulder, CIRES, Earth Science and Observation Center, Boulder, United States, (4)University of Oklahoma, Norman, United States, (5)University of Colorado Denver, Geography and Environmental Science, Denver, United States
 
Crop Variety Discrimination With Airborne Imaging Spectroscopy: A Case Study of Winegrape Variety Mapping in Central California (1117445)
Somil Aggarwal1, Kaitlin Gold2, Fernando Romero3, Graham Trolley3 and Ryan Pavlick4, (1)Cornell University, Computer Science, Ithaca, United States, (2)Cornell University, Cornell Agritech, Plant Pathology and Plant-Microbe Biology, Geneva, NY, United States, (3)Cornell University, Ithaca, NY, United States, (4)Jet Propulsion Laboratory, Pasadena, United States
 
Characterizing Urban Tree Species through Hyperspectral Images using Machine Learning (1120319)
Bina Thapa1, Brady S Hardiman2, Lindsay Darling2 and Songlin Fei1, (1)Purdue University, Forestry and Natural Resources, West Lafayette, United States, (2)Purdue University, West Lafayette, IN, United States
 
Mapping Eucalyptus Plantation in Guangxi, China Using PALSAR-2, Sentinel-2, and Landsat Images in 2020 (1121573)
Chenchen Zhang1, Xiangming Xiao2, Yuanwei Qin3 and Xuebin Yang1, (1)University of Oklahoma Norman Campus, Norman, United States, (2)Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, United States, (3)University of Oklahoma, Department of Microbiology and Plant Biology, Norman, United States
 
A Novel Transfer Learning Framework to Predict High-resolution Daily Urban 2m-height Air Temperature (1122857)
Yiwen Zhang and Lei Zhao, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, IL, United States
 
Interactions and impacts of air pollution over mega-regions and forests in the Northeastern US and East Asia (1124519)
Min Huang, George Mason University Fairfax, Fairfax, VA, United States and The KORUS-AQ and SMAPVEX22 teams
 
Integrating vehicle images with satellite images to map harvest date (1130162)
Chongya Jiang, University of Illinois at Urbana-Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, Kaiyu Guan, University of Illinois at Urbana-Champaign, epartment of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, Yizhi Huang, University of Illinois at Urbana-Champaign, Urbana, Urbana, United States and Maxwell Jong, University of Illinois at Urbana Champaign, Urbana, United States
 
Mapping Rice and Soybean Calendars Based on Different Algorithms (1135078)
Xin Zhao1, Kazuya Nishina2, Akihiko Ito3, Yuji Masutomi3 and Sanai Li3, (1)National Institute for Environmental Studies, Earth System Division, Biogeochemical Cycle Modeling and Analysis Section, Tsukuba, Japan, (2)National Institute for Environmental Studies, Tsukuba-Shi, Japan, (3)National Institute for Environmental Studies, Tsukuba, Japan
 
Developing 1-km Seamless Global Datasets of Daily Maximum and Minimum Land Surface and Air Temperatures (1136549)
Yuyu Zhou, Iowa State University, Department of Geological and Atmospheric Sciences, Ames, IA, United States, Tao Zhang, Iowa State University, Dept. of Geological & Atmospheric Sciences, Ames, IA, United States and Zhengyuan Zhu, Iowa State University, Department of Statistics, Ames, IA, United States
 
High Throughput Phenotyping of Above and Belowground Sorghum (1137721)
Russell Godkin, University of Nevada, Reno, Reno, NV, UNITED STATES and Robert A Washington-Allen, University of Nevada, Reno, Agriculture, Veterinary, and Rangeland Sciences, Reno, NV, United States
 
Index-based Paddy Fields Mapping in Cloudy Regions based on Sentinel-1 Time Series (1144679)
Shuai Xu, Hong Kong Polytechnic University, Hong Kong, Hong Kong and Xiaolin Zhu, Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong, Hong Kong
 
Assimilating Sentinel-1 Backscatter Data within AquaCrop v7 over Agricultural Areas using NASA’s Land Information System (1145600)
Shannon de Roos1, Michel Bechtold1, Louise Busschaert1, Hans Lievens2, Dirk Raes1 and Gabrielle J.M. De Lannoy3, (1)KU Leuven, Department of Earth and Environmental Sciences, Heverlee, Belgium, (2)Ghent University, Laboratory of Hydrology and Water Management, Gent, Belgium, (3)KU Leuven, Department of Earth and Environmental Sciences, Leuven, Belgium
 
Coupling Earth Observations, Machine Learning, and Optimization to Uncover Productivity Drivers in Insect Pollination-Dependent Crops (1149462)
Anaís Ostroski, University of Pittsburgh, Civil and Environmental Engineering, Pittsburgh, PA, United States, Christina Grozinger, Pennsylvania State University, Entomology, University Park, United States and Vikas Khanna, University of Pittsburgh, Civil and Environmental Engineering, Pittsburgh, United States
 
Estimating Winter Wheat Yield By Combining Crop Modelling, Data Assimilation and Machine Learning With Sentinel-1 And Sentinel-2 Data For A Sustainable Agriculture Management Tool. (1150377)
Alex Cornelius, Assimila, Reading, Berkshire, UNITED KINGDOM, Nicola Pounder, Assimila, Reading, United Kingdom, Gerardo Lopez Saldana, Assimila, Guildford, United Kingdom, Daniel Kindred, ADAS, Cambridge, United Kingdom and Jose Luis Gomez-Dans, University College London, Department of Geography, London, United Kingdom
 
Stakeholder Usage of Coefficient of Variation Method to Support the Delineation of Crop and Non-Crop Areas in Synthetic Aperture Radar Time Series (1150468)
Jordan R Bell, NASA Marshall Space Flight Center, Huntsville, AL, United States, Lori A. Schultz, NASA Marshall Space Flight Center, Huntsville, United States, Hannah G Pankratz, University of Alabama in Huntsville, Earth System Science, Huntsville, AL, United States, Ronan Lucey, University of Alabama in Huntsville, Huntsville, AL, United States, Kaylee Sharp, University of Alabama in Huntsville, Huntsville, United States and Franz Josef Meyer, University of Alaska Fairbanks, Fairbanks, United States
 
Assessment of Wildlife Connectivity inside a Protected Area Using Geospatial Techniques and Circuit Theory Approach (1153933)
Amrapali Tiwari1,2, Sameer Saran1 and Kirti Avishek2, (1)Indian Institute of Remote Sensing, Geoinformatics Department, Dehradun, India, (2)Birla Institute of Technology, Civil and Environment Engineering, Mesra, India
 
Near real-time prediction of crop yields using the approximate peak NIRv (1155000)
Junghee Lee, Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, Korea, Republic of (South), Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea and Zilong Zhong, Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea
 
Augmenting forest inventory field data collection with consumer grade cameras (1155285)
Theodore Elliott Hartsook1, Laura Wade1, Anthony Carpene1, Erin J Hanan2, Alireza Tavakkoli1 and Jonathan A Greenberg3, (1)University of Nevada Reno, Reno, United States, (2)University of California Santa Barbara, Santa Barbara, United States, (3)University of Nevada Reno, Natural Resources and Environmental Science, Reno, United States
 
Using improved tree canopy data to advance ecosystems service urban cooling model (1160968)
Lingling Liu1, Eric V Lonsdorf2 and Chris Nootenboom1, (1)University of Minnesota, Institute on the Environment, St. Paul, United States, (2)University of Minnesota, Minneapolis, MN, United States
 
Analyzing High-Input Cropping Systems for Productivity and Land-Use Change: A Mixed Methods Study to Inform the Design of Future Agricultural Decision-Support Systems (1161850)
Matthew Nowatzke1, Andy VanLoocke1 and Emily Heaton2, (1)Iowa State University, Ames, IA, United States, (2)University of Illinois Urbana-Champaign, Champaign, United States
 
Expansion Patterns of Oil Palm Plantations Across Central America (1162768)
Matthew E Fagan, University of Maryland Baltimore County, Department of Geography and Environmental Systems, Baltimore, MD, United States, Felipe Saad, University of Maryland Baltimore County, Geography and Environmental Systems, Baltimore, United States, Steven Sesnie, US Fish and Wildlife Service, Southwest Region, Albuquerque, NM, United States and Yung-Ho (Ophelia) Wang, Northern Arizona University, School of Earth and Sustainability, Flagstaff, United States
 
Comparing Intra-Urban and Suburban Land Cover Changes in the City of Delhi, India (1167560)
Kayleigh Megan Crow, Washington University in St Louis, St. Louis, MO, United States, Bhartendu Pandey, Raleigh, NC, United States and Anu Ramaswami, Princeton University, Department of Civil & Environmental Engineering; High Meadows Environmental Institute & M.S. Chadha Center for Global India, Princeton, United States
 
Identifying Tree Systems in Agricultural Lands using Deep Learning (1168097)
Wanting Yang1, Xiaoye Tong2, Daniel Ortiz Gonzalo2, Martin Brandt1, Ankit Kariryaa2, Florian Reiner1 and Rasmus Fensholt1, (1)University of Copenhagen, Department of Geosciences and Natural Resource Management, København K, Denmark, (2)University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark
 
Mapping Multiple Kinds of Agricultural Land-Cover Change in Egypt Using a LandTrendr Time Series Temporal Segmentation Approach (1168726)
Kelsee H Bratley and Curtis E Woodcock, Boston University, Earth and Environment, Boston, MA, United States
 
A MaxEnt based habitat suitability analysis of Panthera tigris tigris in a protected area landscape (1173584)
Amrapali Tiwari1,2, Kirti Avishek2 and Sameer Saran1, (1)Indian Institute of Remote Sensing, Geoinformatics Department, Dehradun, India, (2)Birla Institute of Technology, Civil and Environment Engineering, Mesra, India
 
Detecting tillage practices in the U.S. Midwest using multi-source satellite data (1179181)
Xiaocui Wu1, Kaiyu Guan2, Sheng Wang3, Qu Zhou3, Yizhi Huang4, Bin Peng5, Chongya Jiang3 and Zhangliang Chen6, (1)University of Illinois at Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (2)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, (3)University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, IL, United States, (4)University of Illinois at Urbana-Champaign, Urbana, Urbana, United States, (5)University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (6)Institute for Sustainability, Energy, and Environment, University of Illinois at Urbana Champaign, Urbana, United States
 
Large-Scale Urban Tree Canopy Mapping using PlanetScope Satellite Imagery and Deep Learning (1179257)
Xiaoxin Zhang1, Martin Brandt2, Xiaoye Tong3, Xiaowei Tong4 and Rasmus Fensholt2, (1)University of Copenhagen, København K, Denmark, (2)University of Copenhagen, Department of Geosciences and Natural Resource Management, København K, Denmark, (3)University of Copenhagen, Department of Geosciences and Natural Resource Management, Copenhagen, Denmark, (4)CAS, Chinese Academy of Sciences, The Institute of Subtropical Agriculture, Beijing, China
 
Forest Above-Ground Biomass and Forest Height Estimation over a Sub-Tropical Forest using Machine Learning Algorithm and Synthetic Aperture Radar Data. (1179604)
Noman Ali, University Institute of Engineering Technology, Hoshairpur (PUSSGRC) PU Chandigarh, India, Hoshiarpur, India and Unmesh Khati, Indian Institute of Technology Indore, Indore, India
 
Influence of Land Use Change, Climate and Management on Historical Simulated Yields of Wheat, Maize and Rice (1179624)
Hector Camargo, University of Birmingham, Birmingham, B15, United Kingdom, Thomas Pugh, Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, Robert Elliott, University of Birmingham, Economics, Birmingham, United Kingdom and Stefan Olin, Lund University, Department of physical geography and ecosystem science, Lund, Sweden
 
Nitrosat, a Satellite Mission Concept for Mapping Reactive Nitrogen at the Landscape Scale (1182138)
Pieternel Levelt1, Pierre-Francois Coheur2, Lieven Clarisse2, Martin van Damme3, Henk Eskes4, Joris P Veefkind5, Cathy Clerbaux6, Frank J Dentener7, Jan Willem Erisman8, Martijn Schaap9, Mark A Sutton10, Michael Van Roozendael11, Claude Camy-Peyret12, Andreas Richter13, Steffen Beirle14, Jennifer G Murphy15, Dominik Brunner16, Ben Veihelmann17, Dirk Schuettemeyer18 and Nitrosat Mission ESA Engineering team, (1)National Center for Atmospheric Research, ACOM, Boulder, United States, (2)Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Brussels, Belgium, (3)BIRA-IASB - Belgian Institute for Space Aeronomy, Brussels, Belgium, (4)Royal Netherlands Meteorological Institute (KNMI), De Bilt, Netherlands, (5)Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands, (6)LATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, France, (7)IES/ Joint Research Centre, Ispra (Varese), Italy, (8)Professor, Earth and Life Sciences, Amsterdam, Netherlands, (9)Netherlands Organization for Applied Scientific Research, Department of Climate, Air and Sustainability, Utrecht, Netherlands, (10)NERC Natural Environment Research Council, Swindon, United Kingdom, (11)Royal Belgian Institute for Space Aeronomy, Brussels, Belgium, (12)Université Pierre et Marie Curie, IPSL, Paris, France, (13)University of Bremen, Institute of Environmental Physics, Bremen, Germany, (14)Max Planck Institute for Chemistry, Mainz, Germany, (15)University of Toronto, Department of Chemistry, Toronto, ON, Canada, (16)Empa, Swiss Federal Laboratories for Materials Science and Technology, Duebendorf, Switzerland, (17)ESA-ESTEC, Noordwijk, Netherlands, (18)ESA-ESTEC, European Space Research and Technology Centre, Noordwijk, Netherlands
 
Unique signals of cropped area in conflict zones: a case study in Tigray, Ethiopia (1183991)
Gregory J Husak, University of California Santa Barbara, Climate Hazards Center, Santa Barbara, CA, United States, Seth Peterson, University of California Santa Barbara, Santa Barbara, CA, United States, Amy McNally, US Agency for International Development, Falls Church, United States and Shraddhanand Shukla, University of California Santa Barbara, Climate Hazards Group, Santa Barbara, CA, United States
 
Quantifying Tree Cover across all Urban Areas in India (1185671)
Bhartendu Pandey, Princeton University, Princeton, NJ, United States and Anu Ramaswami, Princeton University, Department of Civil & Environmental Engineering; High Meadows Environmental Institute & M.S. Chadha Center for Global India, Princeton, United States
 
An Interpretative Representation Learning Framework for Generating High Spatiotemporal Resolution Leaf Area Index of Croplands (1193614)
Junxiong Zhou1, Licheng LIU1, Qi Yang1, Rahul Ghosh2, Xiaowei Jia3, Shaoming Xu2, Vipin Kumar2, Chongya Jiang4, Hyungsuk Kimm5, Kaiyu Guan6 and Zhenong Jin7, (1)University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States, (2)University of Minnesota-Twin Cities, Department of Computer Science/Engineering, Minneapolis, United States, (3)University of Pittsburgh, Department of Computer Science, Pittsburgh, PA, United States, (4)University of Illinois at Urbana Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, IL, United States, (5)University of Illinois at Urbana-Champaign, Department of Natural Resources and Environmental Sciences, Urbana, United States, (6)University of Illinois at Urbana Champaign, Department of Natural Resources and Environmental Sciences, College of Agricultural, Consumer and Environmental Sciences, Urbana, United States, (7)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, St. Paul, United States
 
Global mapping of tall crops in regions without field labels using GEDI and Sentinel-2 (1194158)
Sherrie Wang1, Stefania Di Tommaso2, Vivek Vajipey2 and David B Lobell2, (1)University of California Berkeley, Goldman School of Public Policy, Berkeley, United States, (2)Stanford University, Stanford, CA, United States
 
Using GEDI Data to Evaluate the Impact of the Australian 2019/2020 Fire Season on the Structure and Biomass of Gondwana Rainforests (1195711)
Colin Flynn, George Mason University Fairfax, Fairfax, VA, United States, Konrad Wessels, George Mason University, Fairfax, United States and John David Armston, University of Queensland, St Lucia, United States
 
Satellite-based Modeling of Gross Primary Production of C3 Fields with Time Series of Landsat and Sentinel-2 Images (1196199)
Jorge Andres Celis, University of Oklahoma Norman Campus, Norman, OK, United States, Xiangming Xiao, Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, United States, Pradeep Wagle, USDA-ARS, Grazinglands Research Laboratory, El Reno, United States, Jeffrey B Basara, University of Oklahoma, School of Meteorology; School of Civil Engineering and Environmental Science, Norman, United States and Lara Souza, University of Oklahoma, Norman, OK, United States
 
Evaluation of Different Machine Learning Algorithms for Mapping Crops Using High Resolution Satellite Data (1197272)
Vishal Sharma and Sanjay Kumar Ghosh, Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India
 
The GeoCarb Mission: Monitoring Vegetation Health from Space at High Spatiotemporal Resolution (1202364)
Sean Crowell, University of Oklahoma Norman Campus, Norman, OK, United States, Berrien Moore III, University of Oklahoma, School of Meteorology, Norman, OK, United States, Peter Somkuti, University of Oklahoma Norman Campus, Department of Meteorology, Norman, United States, Russell Doughty, California Institute of Technology, Pasadena, CA, United States, Xiangming Xiao, Department of Microbiology and Plant Biology, Center for Spatial Analysis, University of Oklahoma, Norman, United States and Yuanwei Qin, University of Oklahoma, Department of Microbiology and Plant Biology, Norman, United States
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