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Session Proposal: Advancing Environmental Monitoring through Near-Surface Remote Sensing: Capabilities, Applications, and Future Directions (AGU25)

B013
Advancing Environmental Monitoring through Near-Surface Remote Sensing: Capabilities, Applications, and Future Directions

Session ID#: 248239

Session Description:
From vegetation health to land-use changes, near-surface remote sensing offer a transformative lens to monitor the Earth's response to environmental changes at high spatial and temporal resolutions. This session explores the utility of diverse near-surface remote sensing technologies, including PhenoCam, thermal infrared cameras, multi/hyperspectral and sun-induced chlorophyll fluorescence spectrometers, microwave radiometers, and other emerging technologies in ecosystems ranging from tropics to the tundra. The session will focus on (1) Applications in analyzing vegetation dynamics, land-use change, and ecosystem processes; (2) Sensor capabilities and data acquisition strategies for near-surface environmental monitoring; (3) Advances in data processing and analysis techniques for extracting key environmental indicators; and (4) Synergistic approaches using multiple sensor types for comprehensive Earth observation. This session aims to foster collaborative discussion on the power and significant potential of near-surface remote sensing techniques in advancing our understanding of environmental monitoring and identifying future directions for this rapidly evolving field.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • H - Hydrology
Index Terms:

0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
0428 Carbon cycling [BIOGEOSCIENCES]
0476 Plant ecology [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
Primary Convener:  Mostafa Javadian, Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States
Conveners:  Lin Meng, Vanderbilt University, Department of Earth and Environmental Sciences, Nashville, TN, United States, Troy Magney, University of California Davis, Department of Plant Sciences, Davis, United States and Andrew D Richardson, Northern Arizona University, School of Informatics, Computing and Cyber Systems & Center for Ecosystem Science and Society; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, Flagstaff, United States; Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, United States
Student/Early Career Convener:  Oscar Zimmerman, Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, United States
 
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Jan Pisek1, Chris Murithi Murithi1, Daniel Schraik2,3, Brian Bailey4, Atticus Stovall5, Jing Liu6, Guang Zheng7, Andrew K Skidmore8 and Matheus Vicari9, (1)University of Tartu, Tartu Observatory, Tartu, Estonia, (2)Aalto University School of Engineering, Department of Built Environment, Espoo, Finland, (3)Natural Resources Institute Finland, Helsinki, Finland, (4)University of California Davis, Department of Plant Sciences, Davis, United States, (5)NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Washington, United States, (6)Nanjing Normal University, Nanjing, China, (7)Nanjing University, International Institute for Earth System Science, Nanjing, China, (8)University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), Enschede, Netherlands, (9)Mantis-AI, Sao Paulo, Brazil
 
Detecting invasive species using leaf level spectroscopy and functional traits (1859846)
Kianoosh Hassani1, Darcy Boellstorff2, Mahmood Davoodianidaliki3, Caitlin Fisher-Reid4, Heather Marella4 and Emma Welch4, (1)Bridgewater State University, Geography, Bridgewater, MA, United States, (2)Bridgewater State University, Geography, Bridgewater, United States, (3)Morid Engineering Services, Canberra, Australia, (4)Bridgewater State University, Biological Sciences, Bridgewater, United States
 
Comparing Fractional Cover Mapping of Mesquite Using Machine Learning approaches (1864793)
Atikul Hoque, New Mexico State University Main Campus, Las Cruces, NM, United States and Michaela Buenemann, New Mexico State University Main Campus, Geography, Las Cruces, NM, United States
 
USGS Flow Photo Explorer: A flexible AI/ML approach to transforming timelapse imagery into environmental insights (1867685)
Phillip Goodling1, Jennifer Fair2, Amrita Gupta3, Jeff Walker4, Keegan Johnson5, Evan Gohring6, Graham A Sexstone7, Caitlin Marsteller8, Hayley Olds9, Paul Reneau9 and Sarah Schoen8, (1)U.S. Geological Survey, Earth Surface Processes Division, Baltimore, MD, United States, (2)US Geological Survey Eastern Ecological Science Center, Turners Falls, United States, (3)Microsoft Corporation, AI for Good Lab, Redmond, United States, (4)Walker Environmental Research, Brunswick, ME, United States, (5)U.S. Geological Survey, Madison, United States, (6)US Geological Survey Colorado Water Science Center, Denver, United States, (7)U.S. Geological Survey, Lakewood, United States, (8)USGS Alaska Science Center, Anchorage, United States, (9)USGS Upper Midwest Water Science Center, Madison, United States
 
Real-Time UAV-Based Hyperspectral Imaging for Environmental Monitoring Using the Hypermesh Format (1877791)
Agnar Sivertsen1, Daniel Stødle2, Sigurd Løkse1 and Håvard Snefjellå Løvås2, (1)NORCE Research, Tromsø, Norway, (2)NORCE Research, Tromso, Norway
 
Frontiers in near-surface imaging of solar-induced fluorescence for physiological inference (Invited) (1886663)
Loren Albert, Oregon State University, Corvallis, United States, KC Cushman, Brown University, Ecology and Evolutionary Biology, Providence, United States, Charles Southwick, Oregon State University, Corvallis, OR, United States, Luis Alonso, El Centro de Estudios Ambientales del Mediterráneo, Valencia, Spain, David Allen, National Institute of Standards and Technology, Gaithersburg, United States, Albert Porcar-Castell, University of Helsinki, Helsinki, Finland, Kamil Kral, Landscape Research Institute, Department of Forest Ecology, Lidická, Czech Republic and James R Kellner, Brown University, Providence, RI, United States
 
Integrating LiDAR and Multi-temporal Multi-spectral Imagery for High-Resolution Mapping of Target Woody Vegetation Communities for Rangeland Management (1897964)
Cynthia Libantino Norton1, Dustin Curley2, Willem J Van Leeuwen1 and Chandra Holifield Collins3, (1)University of Arizona, School of Natural Resources and the Environment, Tucson, AZ, United States, (2)University of Arizona, Tucson, United States, (3)Agricultural Research Service Tucson, Tucson, United States
 
Tracking Tree Physiological Responses to Drought Using Hyperspectral Sensing Across Multiple Species (1904514)
Maruf Hossain, Louisiana State University, Baton Rouge, LA, United States and Brett Wolfe, Louisiana State University, Baton Rouge, United States
 
Is Your Thermal Camera Telling the Truth? Assessing Measurement Accuracy for Ecosystem Science (1905231)
Jen L Diehl1,2, Mostafa Javadian1, Benjamin Wiebe3, Adrian V Rocha4, Daphna Uni5, Franklin Sullivan6, Jason Kelley7, Lindsey Bell5, Sreenath Paleri8, M. Rae DeVan9, William Hagan Brown10, Zoe Pierrat11,12 and Andrew D Richardson13,14, (1)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States, (2)Northern Arizona University, School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, Flagstaff, United States, (3)Northern Arizona University, SICCS, Flagstaff, United States, (4)University of Notre Dame, Department of Biological Sciences, Notre Dame, United States, (5)University of Arizona, School of Natural Resources and the Environment, Tucson, United States, (6)University of New Hampshire, Earth Systems Research Center, Durham, United States, (7)University of Idaho, Moscow, United States, (8)National Ecological Observatory Network, Battelle, Boulder, United States, (9)University of New Mexico Main Campus, Albuquerque, United States, (10)University of Plymouth, Plymouth, United Kingdom, (11)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (12)University of California Santa Barbara, Department of Geography, Santa Barbara, United States, (13)Northern Arizona University, School of Informatics, Computing and Cyber Systems & Center for Ecosystem Science and Society; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, Flagstaff, United States, (14)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, United States
 
Tracking Vegetation Phenology Across Diverse Biomes Using Version 3.0 of the PhenoCam Dataset (Invited) (1937443)
Adam Young1,2, Koen Hufkens3, Keith Ballou4, Mostafa Javadian5, Alison Post6, Christina Schaedel7, Dawn M Browning8, Christopher Florian2, Minkyu Moon9 and Andrew D Richardson1,10, (1)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, United States, (2)Battelle, National Ecological Observatory Network, Boulder, United States, (3)BlueGreen Labs (BV), Melsele, Belgium, (4)Northern Arizona University, Flagstaff, United States, (5)Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, United States, (6)University of Colorado Boulder, Cooperative Institute for Research in the Environmental Sciences, Boulder, United States, (7)Woodwell Climate Research Center, Falmouth, United States, (8)USDA-ARS Jornada Experimental Range, Las Cruces, United States, (9)Kangwon National University, Chuncheon, South Korea, (10)Northern Arizona University, School of Informatics, Computing and Cyber Systems & Center for Ecosystem Science and Society; Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, Flagstaff, United States
 
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Håvard Snefjellå Løvås1, Agnar Sivertsen2, Daniel Stødle1 and Sigurd Løkse2, (1)NORCE Research, Tromso, Norway, (2)NORCE Research, Tromsø, Norway
 
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Will Woodgate, The University of Queensland, School of the Environment, Brisbane, QLD, Australia, Stuart R Phinn, University of Queensland, Remote Sensing Research Centre, St Lucia, QLD, Australia, Timothy Devereux, The University of Queensland, School of the Environment, St Lucia, QLD, Australia, Shaun Levick, CSIRO Canberra, Environment, Berrimah, NT, AUSTRALIA, Raja Aryal, The University of Queensland, SENV, St Lucia, QLD, Australia, Joshua Rivory, The University of Queensland, SENV, ST Lucia, QLD, Australia, Thomas Lowe, CSIRO, Data61, Pullenvale, Australia and Glen Eaton, The University of Queensland, SENV, St Lucia, Australia
 
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Sigurd Løkse1, Agnar Sivertsen1, Håvard Snefjellå Løvås2 and Daniel Stødle2, (1)NORCE Research, Tromsø, Norway, (2)NORCE Research, Tromso, Norway
 
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Colette Brown1, Margaret S Torn2, Sigrid Dengel3, Jovan Tadić3 and Bryan Curtis4, (1)Organization Not Listed, Washington, DC, United States, (2)Berkeley Lab/UC Berkeley, Berkeley, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (4)Eagle River Water and Sanitation District, Vail, United States
 
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Blessing Ademola1, Fengkai Tian1, Guojie Ruan2 and Jianfeng Zhou2, (1)University of Missouri, Department of Chemical and Biomedical Engineering, Columbia, United States, (2)University of Missouri, Division of Plant Science and Technology, Columbia, United States
 
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Taiga Sasagawa1, Kazuhito Ichii2, Hibiki Noda3, Tomoko Akitsu4, Toshiyuki Kobayashi5, Kenlo Nishida Nasahara5, Taku Saitoh6 and Hiroyuki Muraoka7, (1)Chiba University, Institute for Advanced Academic Research (IAAR), Chiba, Japan, (2)Chiba University, Center for Environmental Remote Sensing (CEReS), Chiba, Japan, (3)NIES National Institute for Environmental Studies, Earth System Division, Tsukuba, Japan, (4)Japan Aerospace Exploration Agency (JAXA), Earth Observation Research Center, Tsukuba, Japan, (5)University of Tsukuba, Institute of Life and Environmental Sciences, Tsukuba, Japan, (6)Gifu University, Center for Environmental and Societal Sustainability, Gifu, Japan, (7)The University of Tokyo, Graduate School of Agriculture and Life Sciences, Tokyo, Japan
 
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Steven Poulin1, Bruno Courtemanche2 and Russell Butler1, (1)Bishop's University, Computer Science, Sherbrooke, QC, Canada, (2)Bishop's University, Environment, Agriculture and Geography, Sherbrooke, QC, Canada
 
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Bruno Courtemanche1,2, Steven Poulin1,3 and Jeremie Isabelle4, (1)RAPPEL, Scientific Research, Sherbrooke, QC, Canada, (2)Bishop's University, Environment, Agriculture and Geography, Sherbrooke, QC, Canada, (3)Bishop's University, Computer Science, Sherbrooke, QC, Canada, (4)RAPPEL, Exotic invasive species control, Sherbrooke, QC, Canada
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