The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Session Proposal: Science and Applications Enabled by Remote Sensing Data Fusion, Time Series Analysis, and AI (AGU25)

B076
Science and Applications Enabled by Remote Sensing Data Fusion, Time Series Analysis, and AI

Session ID#: 250984

Session Description:
The recent development of data fusion, time series analysis, and artificial intelligence (AI) creates new science and applications in fields such as climate-smart agriculture, natural resources management, and urban management. The fused time series data provides critical information for more productive and sustainable production and conservation in agricultural practices. Similarly, data fusion, time series analysis, and AI have made sustainable management of natural resources and cities possible. We have witnessed continuous successes in crop monitoring, yield prediction, land cover and land use change detection, forest resilience assessment, urban/suburban characterization, coastal wetland mapping, understory species and change detection, and more. This session will focus on showcasing methodologies and applications for the use of data fusion, time series analysis and AI. We invite you to share findings and discuss how science and technology advancements will contribute to sustainable agriculture, natural resources, and urban systems.
Index Terms:

0480 Remote sensing [BIOGEOSCIENCES]
1640 Remote sensing [GLOBAL CHANGE]
1855 Remote sensing [HYDROLOGY]
Primary Convener:  Yun Yang, Cornell University, Soil and Crop Sciences Section, Ithaca, NY, United States
Conveners:  Zhe Zhu1, Simon Kraatz2 and Shi Qiu1, (1)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States(2)USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States
 
Multi-season Crop Type Mapping Using High-Resolution Planet Imagery (1866010)
Razieh Barzin1, Enrique R Vivoni2, Zhaocheng Wang2, Andrew N French3, Pierre C Guillevic4, Elzbieta C. Wisniewski5 and Rasmus Houborg4, (1)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States, (2)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States, (3)University of Arizona, Tucson, United States, (4)Planet Labs, San Francisco, CA, United States, (5)Arizona State University, Tempe, United States
 
High Resolution Land Cover Mapping at Large Scale Through AI and Multi-source Data Integration (1866338)
Khuong H Tran1, Hirofumi Hashimoto1, Pratima K C2, Kyle Kristian Kabasares2, Akash Awasthi3, Scott Horner4, Wen F. Yip4, Ian G Brosnan5 and Taejin Park6, (1)NASA Ames Research Center, Moffett Field, CA, United States, (2)Bay Area Environmental Research Institute, Moffett Field, United States, (3)University of Houston, Houston, United States, (4)NASA Ames Research Center, Moffett Field, United States, (5)NASA Ames Research Center, Earth Science Division, Moffett Field, CA, United States, (6)NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States
 
High-Fidelity Spatio-temporal Fusion of Multi-sensor Satellite Data: A Two-Stage Generative Adversarial Framework Built Upon ConvLSTM and ViT Deep Learning Models (1880768)
Naveenkumar Purushothaman1,2, Hongxing Liu1, Lei Wang3, Dan Tian1, Anindya Palaparthi1, Yuehan Lu4, Sagy Cohen5 and Bhabani Sankar Das2, (1)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (2)Indian Institute of Technology Kharagpur, Agricultural and Food Engineering, Kharagpur, India, (3)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, LA, United States, (4)The University of Alabama, Geological Sciences, Tuscaloosa, AL, United States, (5)The University of Alabama, Tuscaloosa, AL, United States
 
Robust hyperspectral reconstruction from satellite and airborne observations via a deep hierarchical fusion network across heterogeneous scenarios (1885874)
Fujiang Ji1, Jiaqi Yang1, Philip A Townsend2, Ting Zheng2, Kyle R Kovach2, TONG Yu3, Ruqi Yang2, Ming Liu1 and Min Chen4, (1)University of Wisconsin-Madison, Madison, United States, (2)University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States, (3)University of Wisconsin-Madison, Biological Systems Engineering, Madison, United States, (4)University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States
 
VineScaleNet: Bridging Scales with Deep Learning for Precision Vineyard Yield Forecasting in California's Central Valley (1901529)
Shahryar Fazli1, Dr. Wenzhao Li1, Hamid Kamngir Dr2, Ehsan Jalilvand, PhD3,4, Hesham Mohamed El-Askary1 and Mohammad Sina Jahangir Dr5, (1)Chapman University, Schmid College of Science and Technology, Orange, CA, United States, (2)University of California Davis, Department of Biological and Agricultural Engineering, Davis, United States, (3)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, (4)Science Applications International Corporation (SAIC), Reston, United States, (5)Cornell University, biological and Environmental Engineering, Ithaca, United States
 
Revamping the National Land Cover Database with AI: Approach, Applications, and Next Steps (1910833)
Terry Sohl, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, Neal J. Pastick, U.S. Geological Survey, Sioux Falls, United States and Rylie Fleckenstein, KBR Inc., Contractor to the U.S. Geological Survey, Earth Resources Observation and Science Center, Sioux Falls, United States
 
UAV4DCrop: An Ultra-High Resolution, Multi-Angle Benchmark UAV Dataset for Time-Series 3D Crop Reconstruction and Modeling (1912195)
Junxiong Zhou1, Qi Yang2, Zhenong Jin3, Ce Yang1, David Mulla4, Vipin Kumar5 and Licheng LIU6, (1)University of Minnesota, Department of Bioproducts and Biosystems Engineering, St Paul, United States, (2)Max Planck Institute for Biogeochemistry, Department of Biogeochemical Integration, Jena, Germany, (3)Peking University, The Institute of Ecology, College of Urban and Environmental Science, Beijing, China, (4)University of Minnesota Twin Cities, Department of Soil, Water, and Climate, Minneapolis, MN, United States, (5)University of Minnesota Twin Cities, Department of Computer Science & Engineering, Minneapolis, United States, (6)University of Minnesota Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, United States
 
Classification of Spanish moss from Terrestrial Laser Scanning 3D Point Clouds Using Unsupervised and Supervised Methods (1912485)
Alexander Gaskins1, Jinyi Xia2 and Carlos Alberto Silva1, (1)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Gainesville, United States, (2)University of Florida, School of Forest, Fisheries and Geomatics Sciences, Ft Walton Beach, FL, United States
 
Principles and Paradigms for Data Fusion of Remote Sensing and In-situ Nature Technology in Real-World Sustainability Applications (1919339)
Seamus Lombardo1, Amy Rosenthal2, Adrien Pajot3, Tom Walker4, Carly Batist5, Chris Beirne6, David Luther7, Vijay Ramesh8 and Ali Swanson5, (1)Planet Labs, San Francisco, CA, United States, (2)Planet Labs PBC, Oak Park, United States, (3)WILDLABS, Cambridge, United Kingdom, (4)Cecil, Lausenne, Switzerland, (5)Conservation International, Arlington, United States, (6)Osa Conservation, Osa Peninsula, Costa Rica, (7)George Mason University Fairfax, Biology, Fairfax, VA, United States, (8)Cornell University, Ithaca, United States
 
Forecasting Agricultural Drought Impacts Through Satellite Soil Moisture Products and Deep Learning in Water-Limited African Regions (1923739)
Adebowale Daniel Adebayo, University of Maryland, Department of Geographical Sciences, College Park, United States and Catherine Lilian Nakalembe, University of Maryland, Department of Geographical Sciences, College Park, MD, United States
 
Bridging Data Gaps in Agriculture using Earth Observations and Scale Transfer (Invited) (1925737)
Yuchi Ma, Stanford University, Department of Earth System Science & Center on Food Security and the Environment, Stanford, CA, United States and David B Lobell, Stanford University, Department of Earth System Science & Center on Food Security and the Environment, Stanford, United States
 
Using One Million Aerial Photographs to Quantify Historical Land Cover Changes in Africa (1926614)
Hikari Murayama1,2, Steve Berggreen2, Hannah Druckenmiller3, Joel Ferguson2, Simon Greenhill4, Solomon M Hsiang2, Cornelia Ilin5, Andreas Madestam6, Eugenio Noda2, Nicklas Nordfors7 and Anna Tompsett6, (1)University of California Berkeley, Energy and Resources Group, Berkeley, CA, United States, (2)Stanford University, Doerr School of Sustainability, Stanford, United States, (3)California Institute of Technology, Pasadena, United States, (4)University of California Berkeley, Berkeley, CA, United States, (5)University of California Berkeley, Berkeley, United States, (6)Stockholm University, Stockholm, Sweden, (7)University of Gothenburg, Department of Economics, Gothenburg, Sweden
 
HLS-GPT: A Generative Pretrained Transformer (GPT) Model for Accurate Harmonized Landsat and Sentinel-2 (HLS) Annual Reflectance Time Series Reconstruction (1926858)
Junjie Li1, Hankui Zhang1, David Roy2 and Yuean Qiu3, (1)South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States, (2)Michigan State University, Department of Geography, Environment, & Spatial Sciences, and Center for Global Change and Earth Observations, East Lansing, MI, United States, (3)Michigan State University, Department of Geography, Environment, & Spatial Sciences, and Center for Global Change and Earth Observations, East Lansing, United States
 
Cereal Crop Mapping and Classification: Insights from Remote Sensing and Machine Learning (1946484)
Raja BEN Harraf, Mohammed VI Polytechnic University (UM6P), College of Agriculture & Environmental Sciences (CAES), Ben Guerir, Morocco, Manal Mhada, Mohammed VI Polytechnic University (UM6P), AgrobioSciences (AgBS), College of Agriculture & Environmental Sciences (CAES), Ben Guerir, Morocco and Nabil El Mocayd, Mohammed VI Polytechnic University (UM6P), International Water Research Institute (IWRI), College of Agriculture & Environmental Sciences (CAES), Ben Guerir, Morocco
 
Machine Learning-Driven Framework for Vegetation Stress Detection, Leaching Metal Contamination Mapping, and Site-specific Phytoremediation Recommendations in Data-Limited Environments (1948623)
Salman Karim, Virginia Tech, Mining and Minerals Engineering, Blacksburg, United States, Bahareh Nojabaei, Virginia Tech, Mining and Minerals Engineering, Blacksburg, VA, United States and Hosein Foroutan, Virginia Tech, Civil and Environmental Engineering, Blacksburg, United States
 
Overview and Future Outlook of NASA's Harmonized Landsat and Sentinel-2 (HLS) Project (1956358)
Madhu Sridhar, University of Alabama in Huntsville, Huntsville, AL, United States, Pontus Olofsson, PhD, NASA Marshall Space Flight Center, Huntsville, AL, United States, Junchang Ju, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, Qiang Zhou, Science Systems and Applications, Inc., Maryland, United States and Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States
 
Modeling aboveground biomass in fragmented tropical forests using multitemporal Harmonized Landsat Sentinel-2 data (1957808)
Rodrigo Vieira Leite, Organization Not Listed, Washington, DC, United States, Margaret Wooten, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, William Wagner, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Jordan Caraballo-Vega, NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, Qiang Zhou, Chengdu University of Technology, The Engineering & Technology College, Chengdu, China and Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States
 
Satellite evidence for a shift from human-directed to wild disturbances in the US (1965377)
Shi Qiu1, Zhe Zhu1, Xiucheng Yang1, Curtis E Woodcock2, Robert Timothy Fahey3, Stephen V. Stehman4, Yingtong Zhang5, Mari Cullerton1, Ashley Grinstead1, Falu Hong1, Kexin Song1, Ji Won Suh1, Tian Li1, Wei Ren1 and Ramakrishna R Nemani6, (1)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States, (2)Boston University, Earth and Environment, Boston, United States, (3)University of Connecticut, Natural Resources and the Environment, Storrs, United States, (4)SUNY College of Environmental Science and Forestry, Syracuse, United States, (5)Boston University, Earth and Environment, Boston, MA, United States, (6)NASA Ames Research Center, Moffett Field, CA, United States
 
Structural overshoot weakens boreal forest resilience (1965909)
Yue Zhang1, Nathan McDowell2, Scott J. Goetz3 and Yanlan Liu1, (1)The Ohio State University, School of Earth Sciences, Columbus, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Northern Arizona University, SICCS, Flagstaff, AZ, United States
 
Global Land Cover mapping and Estimation (GLanCE): Long-term Annual Datasets from Landsat-CCDC Across Five Continents (1967572)
Paulo A Arevalo1, Yingtong Zhang2, Alice Ni1, Mark A Friedl2, Curtis E Woodcock1 and Zhe Zhu3, (1)Boston University, Earth and Environment, Boston, United States, (2)Boston University, Earth and Environment, Boston, MA, United States, (3)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States
 
Evaluation of Long-term Land Cover Change from Global Land Cover Mapping (1970712)
Yingtong Zhang1, Paulo A Arevalo2, Curtis E Woodcock2, Zhe Zhu3 and Mark A Friedl1, (1)Boston University, Earth and Environment, Boston, MA, United States, (2)Boston University, Earth and Environment, Boston, United States, (3)University of Connecticut, Department of Natural Resources and the Environment, Storrs, United States
 
View Angle Effect Characterization at the 30-m Scale in NASA Harmonized Landsat and Sentinel-2 Data (1971914)
Junchang Ju, University of Maryland College Park, College Park, MD, United States, Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, Qiang Zhou, Science Systems and Applications, Inc., Lanham, MD, United States and Madhu Sridhar, University of Alabama in Huntsville, Huntsville, AL, United States
 
Advances on OpenET-Brazil for agricultural and environmental water management (Invited) (1973625)
Anderson Ruhoff1, Leonardo Laipelt2, Bruno Cesar Comini de Andrade1, Gabriel Matte Rios Fernandez3, Julia B. Rossi4, Wilany Alves5, Nicole Ramalho5, Forrest S Melton6, Sara G. Larsen7, Martha Anderson8, Yun Yang9, Joshua B. Fisher10, Richard G Allen11, Ayse Kilic12, Will Carrara13, John M Volk14, Adam J Purdy15 and Francisco Munoz-Arriola16, (1)Institute of Hydraulic Research UFGRS, Porto Alegre, Brazil, (2)Universidade Federal Do Rio Grande Do Sul, Porto Alegre, RS, BRAZIL, (3)Institute of Hydraulic Research, Federal University of Rio Grande do Sul, Porto Alegre, Porto Alegre, Brazil, (4)Federal University of Rio Grande do Sul, Institute of Hydraulic Research, Porto Alegre, Brazil, (5)UFRGS Federal University of Rio Grande do Sul, Porto Alegre, Brazil, (6)NASA Ames Research Center, Moffett Field, CA, United States, (7)OpenET, Inc., Salt Lake City, United States, (8)USDA ARS, Hydrology and Remote Sensing Laboratory, Beltsville, United States, (9)College of Agriculture and Life Sciences, Cornell University, Ithaca, United States, (10)Hydrosat, Washington, DC, United States, (11)Univ Idaho, Kimberly, ID, United States, (12)University of Nebraska Lincoln, Lincoln, NE, United States, (13)California State University Monterey Bay, Seaside, United States, (14)Desert Research Institute, Division of Hydrologic Sciences, Reno, United States, (15)University of California Irvine, Irvine, United States, (16)Department of Biological Systems Engineering & School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States
 
The Harmonized Landsat, Sentinel-2, and PlanetScope (HLSP) Surface Reflectance Product (1975789)
Rasmus Houborg, Planet Labs, San Francisco, CA, United States
 
Smallholder crop type dynamics characterized with high-frequency observations from Harmonized Landsat and Sentinel-2 (1980909)
Margaret Wooten1, Qiang Zhou2, Rodrigo Vieira Leite3, Jordan Caraballo-Vega4, William Wagner5, Mark Carroll4 and Christopher S R Neigh3, (1)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, (2)Science Systems and Applications, Inc., Lanham, MD, United States, (3)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, (4)NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Comparison of NASA Harmonized Landsat and Sentinel-2 (HLS) surface reflectance products with MODIS (1981933)
Qiang Zhou, Science Systems and Applications, Inc., Lanham, MD, United States, Min Feng, terraPulse, Inc., Gaithersburg, United States, Junchang Ju, University of Maryland, Earth System Science Interdisciplinary Center, College Park, United States, Joseph O Sexton, terraPulse Inc, Gaithersburg, United States, Panshi Wang, terraPulse Inc, North Potomac, United States, Saurabh Channan, TerraPulse, Inc, Gaithersburg, United States, Amit Angal, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Margaret Wooten, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States, Madhu Sridhar, University of Alabama in Huntsville, Huntsville, AL, United States and Christopher S R Neigh, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States
 
Transformers in the Treetops: A Multi-Path AI Framework for Predicting Canopy Height Change (1984559)
Nikhita Kalluri1, Mark M. Moussa1, David J Harding1, James P Mackinnon1 and Matthew A Brandt2, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States
 
Fusion of UAV-Based Structure-from-Motion and Ground Penetrating Radar for Integrated Surface-Subsurface Modeling (1992305)
Sergio Bernardes1, Ervan G Garrison2, Dean Goodman3, James Wilson4 and Abhijit Sarmah4, (1)Center for Geospatial Research - University of Georgia, Athens, GA, United States, (2)University of Georgia, Athens, GA, United States, (3)GPR-Slice, Los Angeles, United States, (4)University of Georgia, Athens, United States
 
Evaluating accuracy and spatial variability in PlanetScope-derived Fractional Vegetation Cover across ecosystems (2004974)
Beomjun Kang, Seoul National University, Seoul, Korea, Republic of (South), Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, South Korea, Wonseok Choi, Interdisciplinary Program in Landscape Architecture, Seoul, South Korea and Sungchan Jeong, Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea
See more of: Biogeosciences