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Session Proposal: Advances in Remote Sensing and Modeling of Wetlands (AGU25)

B005
Advances in Remote Sensing and Modeling of Wetlands

Session ID#: 250240

Session Description:
Natural wetlands (inland and coastal) and agricultural wetlands (e.g., paddy rice) provide essential ecosystem goods and services and play an important role in biodiversity, carbon cycling, and public health. Over the last few decades, wetlands (area, type, structure, function) have been changing rapidly under intensive human activities and climate change. This session aims to showcase recent advances in remote sensing and modeling of wetland dynamics, including wetland area dynamics, driving factors, ecological and societal impacts, as well as carbon fluxes and stocks. This session invites presentations that (1) use multiple-source remote sensing datasets and novel techniques quantify wetland dynamics from local to region and global scales; (2) investigate diverse factors driving wetlands dynamics; (3) evaluate the impacts of wetland changes on the environment, public health, and society; and (4) predict spatial-temporal changes of wetland carbon fluxes and stocks and its contribution to the dynamics of atmospheric greenhouse gases concentrations.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • GH - GeoHealth
Index Terms:

0240 Public health [GEOHEALTH]
0428 Carbon cycling [BIOGEOSCIENCES]
0497 Wetlands [BIOGEOSCIENCES]
1630 Impacts of global change [GLOBAL CHANGE]
Primary Convener:  Chenchen Zhang, School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK, United States
Conveners:  Xinxin Wang, Fudan University, School of Life Sciences, Shanghai, China, Jinwei Dong, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China and Xiangming Xiao, School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States
Student/Early Career Convener:  Shenglai Yin, School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States
 
Reassessing Global Mangrove Dynamics: From Net Loss Narratives to Emerging Recovery and Structural Change (Invited) (1847190)
Zhen Zhang and Dan Friess, Tulane University, Department of Earth and Environmental Sciences, New Orleans, United States
 
Developing a Multimodal AI Framework for Wetlands Mapping with Multi-Sensor Earth Observation Data (1854654)
Khunsa Fatima and Robert Parker, University of Leicester, National Centre for Earth Observation, School of Physics and Astronomy, Leicester, United Kingdom
 
Surface Water Trends and Variations in Protected Areas in Northeast Asia (1863411)
Chenchen Zhang1, Xiangming Xiao2, Xinxin Wang3, Cheng Meng4, Yuanwei Qin5, Yuan Yao5, Li Pan6, Baihong Pan2 and Jinwei Dong7, (1)School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, OK, United States, (2)School of Biological Sciences, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (3)Fudan University, School of Life Sciences, Shanghai, China, (4)University of Oklahoma Norman Campus, School of Biological Sciences, Norman, United States, (5)Department of Microbiology and Plant Biology, Center for Earth Observation and Modeling, University of Oklahoma, Norman, United States, (6)University of Oklahoma, School of Biological Sciences, Norman, United States, (7)Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
 
GEOSTATISTICAL INSIGHTS INTO WETLAND–CATCHMENT DYNAMICS: A HYDROLOGICAL AND LANDSCAPE CONNECTIVITY ANALYSIS OF THE BHOJ WETLAND, INDIA (1867549)
Manish Rawat, Indian Institute of Technology Rookee, Water resources development and management, Roorkee, India, Anil Kumar Gupta, Indian Institute of Technology Roorkee, Water Resources Development & Management, Roorkee, India, Basant Yadav, Indian Institute of Technology Roorkee, Water Resources Development and Management, Roorkee, India and Praveen Kumar Gupta, Space Applications Centre, Indian Space Research Organisation, Ahemadabad, India
 
Low-Latency Global Freshwater Wetland Methane Flux (2000-2025) (1876953)
Dr. Mengze Li, National University of Singapore, Singapore, Singapore and Robert B Jackson, Stanford University, Earth System Science, Stanford, United States
 
Integrating Google Earth Engine for near-real-time monitoring of giant salvinia (Salvinia molesta) in wetlands (1878970)
Victoria Ayala1, David Kinsler2, Ivan Grijalva1 and Rodrigo Diaz1, (1)Louisiana State University, Entomology, Baton Rouge, United States, (2)Rhodes University, Department of Zoology and Entomology, Grahamstown, South Africa
 
Muted Global Changes Despite Large Regional Responses: The Contrasting Future Trajectories of Inundated and Saturated Wetlands (1887357)
Donghui Xu1, Zeli Tan1, Etienne Fluet-Chouinard1, Gautam Bisht2, Dalei Hao2, Dongyu Feng2, Tian Zhou1, Hong-Yi Li3 and L. Ruby Leung2, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)University of Houston, Department of Civil and Environmental Engineering, Houston, United States
 
Seasonal wetlands mapping using CYGNSS and Sentinel-1 data (1903271)
Chenchen Ding, University of Wisconsin Madison, Madison, WI, United States, Hangkai You, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, United States and Min Chen, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States
 
High-Resolution Inland Wetland Vegetation Classification with a Foundational CNN Framework Using WorldView-2 (1903539)
Fiona Benzi, Florida Atlantic University, Geosciences, Boca Raton, FL, United States and Caiyun Zhang, Florida Atlantic University, Boca Raton, FL, United States
 
Bridging Process-Based and Data-Driven Models to Map Wetland Inundation and Methane Fluxes in North Carolina's Coastal Plain (1911855)
Jenna N Abrahamson, North Carolina State University Raleigh, Raleigh, NC, United States and Joshua Gray, North Carolina State University, Raleigh, United States
 
Water Depth and Hydroperiod Control Everglades Tree-Island Change: Evidence from 50 Years of Landsat Remote Sensing and Machine Learning Classification (1914932)
Nicholas Appiah, University of Miami, Miami, FL, United States and Samuel Goldberg, University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science, Miami, United States
 
Examination of Satellite Data Analysis Methodologies for Detection and Monitoring of Alternanthera philoxeroides (1920221)
Kengo Shinohara, NARO National Agriculture and Food Research Organization, Ibaraki, Japan
 
Are Taquari River Basin wetlands under threat? (1924304)
Thais Silva, Mississippi State University, Mississippi State, MS, United States, Vitor Martins, Mississippi State University, Department of Agricultural and Biological Engineering, Mississippi State, MS, United States and Flavio B Justino, Universidade Federal de Viçosa, Viçosa, MNG, Brazil
 
Machine Learning Reveals Environmental Drivers of Distinct Floodplain Natural Communities in Floodplain Ecosystems (1929022)
Ijaz Ul Haq1, Kristen Underwood2, Rebecca Manners Diehl3 and Elizabeth M. B. Doran2, (1)University of Vermont, Computer Science, Burlington, United States, (2)University of Vermont, Civil & Environmental Engineering; Water Resources Institute, Burlington, United States, (3)University of Vermont, Department of Geography and Geosciences, Burlington, VT, United States
 
Integrating Sentinel-1 and Sentinel-2 Imagery to Map Wetlands in Alaska (1937838)
Congcong Li, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States
 
Developing a Coastal Observatory for Integrated Global Coastal Information and Decision Support with NASA datasets (Invited) (1953064)
Temilola Fatoyinbo, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, MD, United States, Marc Simard, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and NASA Coastal Observatory Team
 
Aboveground Biomass Modelling in Salt and Brackish Marshes Using Multi-Modal Remote Sensing and Ensemble Machine Learning (1956532)
Xin Yan1, Lori Sutter2, Kyle Runion3, Asa Julien1, Rajneesh Sharma1, Peter Hawman3 and Deepak R Mishra3, (1)University of Georgia, Athens, GA, United States, (2)University of North Carolina Wilmington, Wilmington, United States, (3)University of Georgia, Center for Geospatial Research, Department of Geography, Athens, United States
 
Assessing Freshwater Vegetation Responses to Acute Saltwater Intrusion Events Using UAV Multispectral Imagery and Greenhouse Gas Fluxes (1961514)
Madeline Moore1, Diana Taj1 and Jorge Villa2, (1)University of Louisiana at Lafayette, School of Geosciences, Lafayette, LA, United States, (2)University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States
 
A discerned hierarchy of environmental conditions driving restored wetland carbon assimilation using multi-sensor remote sensing (1962562)
Eric Thomas Romero, University of California Berkeley, Berkeley, CA, United States, Camilo Rey-Sanchez, North Carolina State University, Raleigh, United States, Cynthia Gerlein-Safdi, Princeton University, Civil and Environmental Engineering, Princeton, United States, Dennis D Baldocchi, University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, Philip Lee, University of California Berkeley, Center for Computational Biology, Berkeley, United States and Iryna Dronova, University of California Berkeley, Depts. of Environmental Science, Policy & Management and Landscape Architecture and Environmental Planning, Berkeley, CA, United States
 
Drought Impacts to Vegetation of Louisiana Forested Wetlands (1971992)
Opal Otenburg1, Tung Nguyen1 and Elliott White Jr.2, (1)Stanford University, Stanford, United States, (2)Stanford University, Earth System Science, Stanford, United States
 
Peatland Plant Functional Groups Exhibit Distinct Seasonal Dynamics in Sun-Induced Fluorescence and Reflectance During Low Precipitation Periods (1976042)
Michal Antala1,2, Sheng Wang2, Marcin Strozecki1, Radosław Juszczak1 and Anshu Rastogi1, (1)Laboratory of Bioclimatology, Department of Ecology and Environmental Protection, Faculty of Environmental and Mechanical Engineering, Poznań University of Life Sciences, Poznan, Poland, (2)Pioneer Center Land-CRAFT, Department of Agroecology, Aarhus University, Aarhus, Denmark
 
Microtopographic Change of a Peat Bog Surface Detected by Multitemporal Observations Using a UAV-boarded LiDAR (1987141)
Takashi Machimura, The University of Osaka, Graduate School of Engineering, Suita, Japan, Satoru Sugita, Chubu University, Chubu Institute for Advanced Studies, Kasugai, Japan, Shiro Tsuyuzaki, Hokkaido University, Faculty of Environmental Earth Science, Sapporo, Japan and Stefan Hotes, Chuo University, Faculty of Science and Engineering, Tokto, Japan
 
Mapping Temporal Dynamics of Wetland Change in Colombia’s Caribbean Region (1990364)
Victoria Sarmiento, Temple University, Department of Geography and Urban Studies, Philadelphia, PA, United States and Victor Gutierrez-Velez, Temple University, Department of Geography, Environment and Urban Studies, Philadelphia, United States
 
Evaluating the contribution of wetland ecosystems to carbon storage in a dryland landscape using a data fusion model (1995764)
Erik NatiJohnson, Boise State University, Boise, ID, United States, Jodi Brandt, Boise State University, Boise, United States and Timothy Trevor Caughlin, Boise State University, Department of Biological Science, Boise, United States
 
A Time-Series Approach to Forecasting Land Area Dynamics in the Mississippi River Delta (2001799)
Basant Awasthi1, Xuelian Meng2, Thanos Gentimis3 and Manisha K C1, (1)Louisiana State University, Geography and Anthropology, Baton Rouge, LA, United States, (2)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, United States, (3)Louisiana State University, Experimental Statistics, Baton Rouge, United States
 
Classifying Storm Surges Along the Louisiana Coast Using a Machine Learning Approach (2003144)
Faith Okunbor and Jorge Villa, University of Louisiana at Lafayette, School of Geosciences, Lafayette, United States
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