B009
Advancing Agricultural and Ecosystem Science with Imaging Spectroscopy
Session ID#: 251066
Session Description:
Imaging spectroscopy (IS) is transforming our ability to monitor agricultural landscapes and environmental systems with unprecedented detail. With the rise of airborne and spaceborne hyperspectral missions (e.g., PRISMA, DESIS, EMIT, EnMAP, PACE, and upcoming SBG), new opportunities have emerged to detect crop stress, soil properties, water quality, vegetation traits, and biogeochemical processes at scale. This session invites contributions that utilize imaging spectroscopy—independently or integrated with other datasets—to advance fundamental science and real-world applications in agricultural and natural systems. We welcome research on algorithm development, functional trait estimation, data fusion, machine learning and AI integration, and the ecological interpretation of hyperspectral signals. Contributions addressing scaling, calibration, uncertainty quantification, and field validation are especially encouraged. By bringing together diverse approaches and disciplines, this session aims to push the frontiers of imaging spectroscopy for sustainable land management, ecosystem monitoring, and climate adaptation.
Co-Sponsor(s):
Index Terms:
0402 Agricultural systems [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
Primary Convener: Peng Fu, Louisiana State University, Baton Rouge, LA, United States
Conveners: Dr. Shawn Serbin, BA, MS, PhD, Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States and Carl Bernacchi, University of Illinois Urbana-Champaign, DOE Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States
Advancing Crop Monitoring and Nutrient Estimation through Unmanned Aerial Vehicle (UAV) and Satellite Remote Sensing Data Fusion (1867877)
Girma Birru1, Amy Zoller1, Marty R. Schmer1, Virginia Jin1, Ariel S Freidenreich1, Tulsi P Kharel2, Deepak Joshi3, Teferi Tsegaye4 and Zelalem Mersha5, (1)USDA-ARS, Agroecosystem Management Research Unit, Lincoln, United States, (2)USDA-ARS, Crop Production Systems Research Unit, Stoneville, United States, (3)KANSAS STATE UNIVERSITY, Department of Agronomy, Manhattan, United States, (4)USDA-ARS, Office of National Program, Beltsville, United States, (5)Virginia State University, College of Agriculture, Petersburg, United States
Estimating Photosynthetic Traits in Populus deltoides and its Hybrids Using UAV-Based Hyperspectral Imaging and Machine Learning (1895969)
Bipin Paudel1, Heidi J Renninger2, Krishna Poudel2, Jenny Du3 and Rajeev Bhattarai1, (1)Mississippi State University, Department of Forestry, Mississippi State, United States, (2)Mississippi State University, Department of Forestry, Starkville, United States, (3)Mississippi State University, Department of Electrical and Computer Engineering, Mississippi State, United States
Mapping Tree Species Diversity in Kenyan Montane Rainforest Remnants Using Airborne Hyperspectral Data and Unsupervised Clustering (1908464)
Ilja Vuorinne1, Janne Heiskanen1,2, Hari Adhikari1,3, Ian Ocholla1, Chemuku Wekesa4, Petri Nygren5 and Petri Pellikka1,6, (1)University of Helsinki, Department of Geosciences and Geography, Helsinki, Finland, (2)Finnish Meteorological Institute, Helsinki, Finland, (3)Tribhuvan University, Kathmandu, Nepal, (4)Taita Taveta Research Centre, Kenya Forestry Research Institute, Wundanyi, Kenya, (5)SMAPS Spectral Mapping Services, Turku, Finland, (6)University of Nairobi, Wangari Maathai Institute for Environmental and Peace Studies, Nairobi, Kenya
PACE Terrestrial Products – A New View of Ecosystem Distributions, Phenology, and Function (1918561)
Karl F Huemmrich, University of Maryland Baltimore County, Baltimore, MD, United States, Petya K. E. Campbell, UMBC, Greenbelt, United States, Skyelar Caplan, NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, United States, Ran Wang, University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States, John A. Gamon, University of Nebraska Lincoln, School of Nature Resources, Lincoln, United States and Dr. Shawn Serbin, BA, MS, PhD, Brookhaven National Laboratory, Environmental Science and Technologies Department, Upton, United States
Multi-Seasonal Disease Monitoring in Potatoes Using Airborne Imaging Spectroscopy (1932826)
Olee Hoi Ying Lam1, Amanda J Gevens2, Stephen Jordan2, Brendan Heberlein1, William B Hills1 and Philip A Townsend1, (1)University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States, (2)University of Wisconsin Madison, Department of Plant Pathology, Madison, United States
Assessment of Flooding Stress of Soybean through Imaging of LED-induced Chlorophyll Fluorescence (1938913)
Shinhyuk Kong, Seoul National University, Department of Agriculture, Forestry and Bioresources, Seoul, Korea, Republic of (South), Sumin Choi, Seoul National University, Department of Plant Science, College of Agriculture and Life Science, Seoul, South Korea and Hyungsuk Kimm, Seoul National University, Department of Agriculture, Forestry and Bioresources, Seoul, South Korea
Advancing SOC Prediction Using Fractional Derivatives and Spectral Simulation: A Comparative Study of Hyperspectral and Simulated Multispectral Data (1962996)
Mahdis Khorram, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States, Saurav Kumar, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States and Debankur Sanyal, University of Arizona, Environmental Science, Tucson, United States
Status and Updates from the EMIT Imaging Spectrometer Mission on the International Space Station (1963108)
David R Thompson1, Robert O Green1, Urs Bohn1, Emily Brageot1, Philip G Brodrick2, Dana Chadwick1, Red Willow Willow Coleman3, Evan Greenberg4, Michael Kiper1, Jake Lee5, Evan Greenberg1, Charlene Ung1 and The EMIT Team, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States, (4)University of California Santa Barbara, Department of Geography, Santa Barbara, United States, (5)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
It's Complicated: How Landscape and Management Impact the Relationship Between Spectral Reflectance and Plant Diversity in the Nebraska Sandhills. (1970625)
Catherine Chan1, John Arthur Gamon2, Dan Uden2 and Ran Wang3, (1)University of Nebraska Lincoln, Lincoln, NE, United States, (2)University of Nebraska-Lincoln, Lincoln, United States, (3)University of Nebraska Lincoln, School of Natural Resources, Lincoln, United States
Scaling plant functional traits with hyperspectral remote sensing: linking physiology, genotype, and environment (1995146)
Troy Magney1, Christopher Wong2, Rishav Ray3, Jessie Lyons4, Thomas Buckley5, Marie Klein3, Julin Maloor3, Grey Monroe3, Brandi Quarles3, Johanna Schmitt3 and Gail Taylor6, (1)University of Montana, W.A. Franke College of Forestry and Conservation, Missoula, MT, United States, (2)University of Toronto, Toronto, ON, Canada, (3)UC Davis, Davis, United States, (4)Colorado State University Fort Collins, Fort Collins, Colorado, UNITED STATES, (5)University of California Davis, Department of Plant Sciences, Davis, United States, (6)University College London, London, United Kingdom
Toward Improved Hyperspectral Data Fusion: from Precise Pixel Alignment to Enhanced Hypersharpening of UAS-based Sensors (1995222)
Amirhossein Hassanzadeh, Rochester Institute of Technology, Imaging Science, Rochester, United States, Jose Macalintal, Rochester Institute of Technology, Rochester, United States and David Messinger, Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, United States
Advancing SIPNET for Managed Ecosystems: Incorporating Agronomic Events, Nitrogen Cycling, and Greenhouse Gas Fluxes into a Modular, Open Source Biogeochemical Model (1999613)
Mike Longfritz, Self, Boston, United States, Chris Black, Pools and Fluxes LLC, Santa Barbara, United States, Michael Dietze, Boston University, Boston, United States, John M Zobitz, Univ Utah, Salt Lake City, UT, United States, Rob Kooper, National Center for Super Computing Applications, Urbana, United States and David LeBauer, The LeBauer Approach, Tucson, United States; University of Arizona, Tucson, United States
