GC091
Remote Sensing for Sustainable Agriculture
Session ID#: 250171
Session Description:
Sustainable agriculture faces the challenges of lacking scalable solutions and sufficient data for monitoring plant characteristics, environmental conditions, and management practices. Remote sensing from spaceborne, unmanned/manned airborne, and proximal sensors provides unprecedented data sources for agriculture monitoring across scales. The synergy of hyperspectral, multispectral, thermal, LiDAR, or microwave data can thoroughly identify crop stress and predict agroecosystem productivity with ecosystem modeling. This session welcomes a wide range of contributions on remote sensing for sustainable agriculture including, but not limited to: (1) the development of novel sensing instruments and technologies; (2) the quantification of ecosystem energy, carbon, water, and nutrient fluxes across spatial and temporal scales; (3) the applications of machine learning, radiative transfer modeling, or their hybrid; (4) the integration of remotely sensed plant traits to assess agroecosystem functioning and services; and (5) remote sensing to advance nature-based solutions in agriculture for climate change mitigation.
Co-Sponsor(s):
Index Terms:
0402 Agricultural systems [BIOGEOSCIENCES]
1615 Biogeochemical cycles, processes, and modeling [GLOBAL CHANGE]
1813 Eco-hydrology [HYDROLOGY]
1988 Temporal analysis and representation [INFORMATICS]
Primary Convener: Sheng Wang, Aarhus University, Aarhus C, Denmark
Conveners: Sherrie Wang, Massachusetts Institute of Technology, Institute for Data, Systems, and Society, Cambridge, United States, Jillian M. Deines, Stanford University, Department of Earth System Science, Stanford, United States and Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States
AI-Powered Monitoring of Afforestation Using Multispectral Drones and Deep Learning (1878287)
Hesham Morgan1, Ali Elgendy2, Brandon Tran1 and Hesham Mohamed El-Askary3, (1)Chapman University, Schmid College of Science and Technology, Orange, United States, (2)Cairo University, Faculty of Science, Giza, Egypt, (3)Chapman University, Schmid College of Science and Technology, Orange, CA, United States
Seasonal Crop Type Classification Using Sentinel-2 Time Series and Machine Learning in Sindh, Pakistan (1879489)
Dorsa Mohammadi, Boston University, Earth & Environment, Boston, MA, United States and Andrew Reid Bell Dr, Schleifer Family Associate Professor of Sustainability, Department of Global Development, Department of Global Development, 266 Warren Hall Ithaca, NY 14853, United States
Cross-scale Multi-task Deep Learning for Tillage Practice Monitoring using Multi-Source Remote Sensing Observations (1882801)
Zhixian Lin, Kaiyu Guan, Sheng Wang, Qu Zhou and Xiaocui Wu, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States
Do Types of Abandoned Paddy Fields Affect Insect Diversity?: Remote Sensing and Field Survey Analysis (1889504)
Jaeyeon Kim1, Seungwoo Han2, Jiweon Yun2, Seunghyeon Lee2 and Youngkeun Song2, (1)Seoul National University, Seoul, Korea, Republic of (South), (2)Seoul National University, Seoul, South Korea
Real-Time U.S. Crop-Type Forecasting at 30 m Using Expert-Tiled Mixture Models (1892312)
Kejie Zhao1, Kaiyu Guan1, Yizhi Huang2, Zhixian Lin1, Zhangliang Chen1 and Qu Zhou1, (1)University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (2)University of Illinois at Urbana-Champaign, Urbana, United States
Spatiotemporal Yield Estimation of Four Major Crops in Canadian Prairies using Remote Sensing and Environmental Data (1899125)
Haewon Chi1, Kaiyu Guan2, Zhixian Lin2, Jiaying Zhang2, Qu Zhou2, Sheng Wang2, Symon Mezbahuddin3 and Kejie Zhao2, (1)University of Illinois at Urbana-Champaign, Champaign, United States, (2)University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (3)University of Alberta, Edmonton, AB, Canada
Assessing the Impact of Tillage and Non-Tillage Farming Practices on Winter Wheat Productivity and Water Use Efficiency in Oklahoma (1911298)
Aarati Kafle, University of Oklahoma, Norman, OK, UNITED STATES, Nishan Bhattarai, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States, Pradeep Wagle, USDA-ARS, Grazinglands Research Laboratory, El Reno, United States, Jayash Paudel, University of Oklahoma Norman Campus, Norman, United States, Sumit Sharma, Oklahoma State University, Plant & Soil Sciences, Stillwater, United States and Sean Alexander Woznicki, Washington, DC, United States; Grand Valley State University, Annis Water Resources Institute, Allendale, United States
Integrating Remotely-Sensed Agricultural Management into Scalable GHG Modeling Workflows (1913441)
Sarah Kanee1, Charlotte Malmborg1, Katherine Rein1, Xinyuan Ji1, Matthew Kim1, Nooriya Baxamusa2, Chris Black3, David LeBauer4 and Michael Dietze1, (1)Boston University, Boston, United States, (2)Cornell University, Ithica, United States, (3)Pools and Fluxes LLC, Santa Barbara, United States, (4)The LeBauer Approach, Tucson, United States
Using UAV LiDAR to Quantify Individual Stems of Perennial Bioenergy Crop, Miscanthus × giganteus (1920417)
Jalissa Pirro1, Susan Meerdink1, Samuel KZ Taylor1, Andy VanLoocke2, Bryan Petersen2, Haley Schuhl3, Keely Brown3 and Eliza Seigel3, (1)University of Iowa, School of Earth, Environment, and Sustainability, Iowa City, United States, (2)Iowa State University, Department of Agronomy, Ames, United States, (3)Donald Danforth Plant Science Center, Olivette, United States
Sub-Field Crop Yield Prediction Using Satellite-Based Machine Learning: A Multi-Year Analysis with USDA-ARS Ground-Truth Data (1920876)
Annelise Holguin1, Dr. Eunsang Cho, Ph.D.2, Simon Kraatz3, Dr. Jisung Chang3, Martha Anderson3, Feng Gao4, David Johnson5, Haoteng Zhao4 and Richard Cirone6, (1)Texas State University, Geography and Environmental Studies, San Marcos, United States, (2)Texas State University, Department of Civil Engineering, San Marcos, United States, (3)USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (4)USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, United States, (5)USDA National Agricultural Statistics Service, Washington, DC, United States, (6)Iowa State University, Ames, IA, United States
Monitoring Rice Photosynthesis Under Contrasting Water Management Conditions with Near-Surface Hyperspectral Sensing (1924981)
Will Pape Richardson, University of Arkansas, Biological and Agricultural Engineering, Fayetteville, AR, United States, Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, Michele Reba, Research Hydrologist, USDA-ARS, Jonesboro, United States and Benjamin Runkle, University of Arkansas, Department of Biological and Agricultural Engineering, Fayetteville, AR, United States
Fusing Structural and Spectral Data for Yield Assessment in Peanuts: A LiDAR and Hyperspectral Imaging Approach (1934308)
Nushrat Jahan Niva1, Lorena Nunes Lacerda2, George Vellidis3, Cristiane Pilon4, Alicia Peduzzi4, Sara Maktabi5, Sudhir Payare4 and Matheus Ardigueri6, (1)American Society of Agronomy, Athens, GA, UNITED STATES, (2)University of Georgia, Crop and Soil Sciences, Athens, United States, (3)University of Georgia, Department of Crop & Soil Sciences, Athens, United States, (4)University of Georgia, Athens, United States, (5)University of Georgia, Crop and soil science, Tifton, United States, (6)University of Georgia, crop and soil sciences, Athens, United States
AI for Small Scale Field Boundary Delineation in Africa. (1942276)
Christine Muthee, World Resources Institute, Nairobi, Nairobi, KENYA, Kenneth Mwangi, World Resources Institute, Vital Landscapes-Food Program, Nairobi, Kenya, Tristan Grupp, World Resources Institute, Land & Carbon Lab, Washington, DC, United States, Fred Stolle, World Resources Institute, Land & Carbon Lab, Washington DC, United States and John Jaoko, Senior Crop Data Analyst, Food Program., Nairobi, Kenya
Determining Plant Population post canopy merger from Unmanned Aerial Systems (1945695)
Mohammad Saif1, Robert Ormal Chancia1, Fei Zhang2, Sean Patrick Murphy3, Sarah Jane Pethybridge3 and Jan van Aardt4, (1)Rochester Institute of Technology, Imaging Science, Rochester, NY, United States, (2)Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, United States, (3)Cornell University, Plant Pathology & Plant-Microbe Biology Section, Ithaca, United States, (4)Rochester Institute of Technology, Imaging Science, Rochester, United States
Harnessing Machine Learning and Super-Resolution Sentinel-2 Imagery to Accurately Map the Weed Kochia (1955297)
Steven Shirtliffe1, Thuan Ha2, Kwabena Nketia1, Japiyot Sandhu3, Sarah van Steenbergen1, Hansanee Fernando1 and Agronomic Crop Imaging Team, (1)University of Saskatchewan, Department of Plant Sciences, Saskatoon, SK, Canada, (2)University of Saskatchewan, Department of Plant Sciences, Saskatoon, Canada, (3)University of Saskatchewan, Plant Science, Saskatoon, SK, Canada
Do Off-Season Fields Tell a Story? Earth Observation Reveals the Status of Global Black Soil Croplands Between Harvest and Sowing (1958462)
Yifeng Cui1,2, Jinwei Dong2,3, César Terrer1, Chao Zhang4, Na Chen1, Shuai Ren1, Nanshan You2,5 and Ronggao Liu2, (1)Massachusetts Institute of Technology, Cambridge, United States, (2)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China, (3)University of Chinese Academy of Sciences, Beijing, China, (4)National University of Singapore, Department of Civil and Environmental Engineering, Singapore, Singapore, (5)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Minneapolis, United States
Remote Sensing for Fruit Tree Monitoring: BRDF Assessment and Angular Effect Correction in Sentinel-2 Data Using the HABA-CHIME Algorithm (1959285)
César José Guerrero Benavent1, Belen Franch2, Italo Moletto-Lobos1, Raquel de los Reyes3, Sebastien Saunier4 and Eric Vermote5, (1)University of Valencia, Global Change Unit, Image Processing Laboratory, Burjassot, Spain, (2)University of Valencia, Global Change Unit, Image Processing Laboratory, Paterna, Spain, (3)German Aerospace Center DLR Oberpfaffenhofen, Oberpfaffenhofen, Germany, (4)Telespazio, Toulouse, France, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Domain Adaptation Approaches to Improve Leaf Trait Estimation by Reducing Error Propagation in Hybrid Modeling (1960233)
Parastoo Farajpoor1, Alireza Pourreza1, Mohammadreza Narimani1 and Matthew Fidelibus2, (1)University of California Davis, Biological and Agricultural Engineering, Davis, United States, (2)University of California Davis, Viticulture and Enology, Davis, United States
Predicting Corn Grain Yield Using Vegetation Indices Derived from Multispectral Imagery and Field Spectroradiometer Measurements (1968667)
Ripendra Awal1, Anoop Valiya veettil2, Nta-Akare Ausaji1, Ali Fares2, Binita Thapa1, Almoutaz El Hassan3, Anwar Adem1 and Atikur Rahman2, (1)Prairie View A & M University, Prairie View, United States, (2)Prairie View A & M University, Cooperative Agricultural Research Center, Prairie View, United States, (3)Prairie View A & M University, Cooperative Agricultural research center, Prairie View, United States
Monitoring Phenotypic Variation Across Diverse Cover Crop Species and Assessing Their Impacts on Subsequent Corn Production via Airborne-Satellite Cross-Scale Sensing (1969923)
Zhao Jiang1, Kaiyu Guan1, Sheng Wang1, Kong Wong2, Kirsten Hein2, G. Cody Bagnall2 and Christopher N Topp2, (1)University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (2)Donald Danforth Plant Science Center, St. Louis, United States
Remote Sensing-Based Identification of Manure Application Events in Northern Ohio Agricultural Fields (1970389)
Lorrayne Miralha, PhD, The Ohio State University, Department of Food, Agricultural and Biological Engineering, Columbus, United States and Jehona Babatinca, The Ohio State University, Department of Food, Agricultural, and Biological Engineering, Columbus, United States
Multimodal UAV-Based Modeling for Stage-Specific Biomass Estimation in Wheat (Triticum aestivum): Integrating Spectral, Textural, and Structural Traits (1974606)
Sheetal Kumari1, Ivy Flory2, Caleb Bishop2, Jitender Rathore3, Matthew Wright2, Olga Walsh4 and Maaz Gardezi5, (1)Virginia Tech, Blacksburg, United States, (2)Virginia Polytechnic Institute and State University, School of Plant and Environmental sciences, Blacksburg, United States, (3)Virginia Polytechnic Institute and State University, School of Plant and Environmental Sciences, Blacksburg, United States, (4)Virginia Tech, School of plant and Environmental sciences, Blacksburg, United States, (5)Virginia Tech, Urban and Environmental Policy & Planning (UEPP), School of Public and International Affairs, Blacksburg, United States
Wind farms boost farmer income without threatening agricultural security across the US Corn Belt (1975289)
Jacob T. Stid1, Anthony D Kendall1, Annick Anctil2 and Jillian M Deines3, (1)Michigan State University, Department of Earth and Environmental Sciences, East Lansing, MI, United States, (2)Michigan State University, Civil and Environmental Engineering, East Lansing, United States, (3)Pacific Northwest National Laboratory, Richland, United States
Efficient Corn Disease Monitoring via Polarized Imaging and Self-Supervised Deep Learning (1975923)
Grace Vincent1, Michael Kudenov2, Ralph Dean3, Peter Balint-Kurti4 and Cranos Williams2, (1)North Carolina State University Raleigh, Electrical and Computer Engineering, Raleigh, NC, United States, (2)North Carolina State University Raleigh, Electrical and Computer Engineering, Raleigh, United States, (3)North Carolina State University Raleigh, Entomology and Plant Pathology, Raleigh, United States, (4)USDA-ARS Plant Science Research Unit, Raleigh, United States
Essential Agriculture Variables for GEOGLAM: An International Community Effort to Create Common Definitions for Divergent Agricultural Applications of Satellite Data (1976063)
Alyssa K Whitcraft1, Sven Gilliams1, Laurent Tits2, Michael Marshall3 and GEOGLAM Essential Agriculture Variables Working Group, (1)GEOGLAM Secretariat, Geneva, Switzerland, (2)VITO, Mol, Belgium, (3)ITC, University of Twente, Faculty of Geoinformation Science and Earth Observation, Enschede, Netherlands
Integration of Lidar and Multispectral Remote Sensing Data in Geospatial Modeling Framework to Map and Monitor Crop Productivity of Cotton (1986989)
Jean Rugandirababisha, Bikash Ghimire, Dr. Ranjani Kulawardhana, PhD, Sumantra Chatterjee, Kindrea Gibbons, Rong Xiao, Evan Hunt and Wubishet Tadesse, Alabama A & M University, Department of Natural Resources and Environmental Sciences, Normal, United States
Contextualizing Remotely Sensed Crop Yield with Landscape Metrics for Precision Conservation Applications (1997363)
Noah Berkowitz, University of Nebraska Lincoln, Lincoln, NE, United States, Dan Uden, University of Nebraska-Lincoln, Lincoln, United States and Trenton E Franz, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States
Adaptation and Mitigation in India's Wheat Belt: Tradeoffs Between Crop Yield, Agricultural Residue Burning, and Groundwater Depletion (1997609)
Meha Jain, University of Michigan Ann Arbor, School for Environment and Sustainability, Ann Arbor, MI, United States, Victor Hugo Rohden Prudente, University of Michigan, School for Environment and Sustainability, Ann Arbor, United States, Monish Vijay Deshpande, Indian Institute of Science Education and Research Bhopal, Bhopal, India, Nishan Bhattarai, University of Oklahoma, Department of Geography and Environmental Sustainability, Norman, United States, Asif Ishtiaque, Missouri State University, School of Earth, Environment and Sustainability, Springfield, United States and Balwinder Singh, International Maize and Wheat Improvement Center (CIMMYT), New Delhi, India
