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Session Proposal: Remote Sensing of Rivers, Lakes, Reservoirs, and Wetlands (AGU25)

H123
Remote Sensing of Rivers, Lakes, Reservoirs, and Wetlands

Session ID#: 249161

Session Description:
Accurately measuring inland water–from rivers, lakes, reservoirs, and wetlands–is essential for assessing and managing water resources, and understanding the global hydrologic cycle. Remote sensing techniques, both passive and active, offer the potential to address knowledge gaps by providing near real-time observations and long-term data records across different scales (local, regional, global), particularly important in data-sparse regions. Representative data products include lake and reservoir water levels and volumes, river levels and flows, wetland extents and vegetation dynamics, coastal flooding maps, and water quality properties. We are soliciting abstracts that employ remote sensing data to study inland water processes and support the development of novel applications and methods (e.g., new algorithms/datasets leveraging ML/DL, integration with models and in situ data) for exploring the roles of these inland water bodies, both in terms of quantity and quality, in water management, flood and drought mitigation, hydrologic cycles, ecosystem services, and land-atmosphere interactions.
Co-Sponsor(s):
  • EP - Earth and Planetary Surface Processes
  • G - Geodesy
  • GC - Global Environmental Change
  • NH - Natural Hazards
Index Terms:

1855 Remote sensing [HYDROLOGY]
1857 Reservoirs (surface) [HYDROLOGY]
1860 Streamflow [HYDROLOGY]
1890 Wetlands [HYDROLOGY]
Primary Convener:  Ethan J Shavers, United States Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, United States
Conveners:  George H. Allen, Virginia Tech, Department of Geosciences, Blacksburg, United States, Jérôme Benveniste, COSPAR, Scientific Commission A, Paris, France and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
Student/Early Career Convener:  Ann Scheliga, University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States
 
Reducing Error in Image-Based River Velocity Estimation: The Role of Ground Control Point Positioning and Camera Orientation (1846996)
Sharon Mandipe1, Ponnambalam Rameshwaran1, Andrew Wade2 and Nick Everard1, (1)UK Centre for Ecology and Hydrology, Oxford, United Kingdom, (2)University of Reading, Geography and Environmental Science, Reading, United Kingdom
 
Analysis of the Mechanisms Involved in Glacial Lake Outburst Flooding in Nyalam, Southern Tibet, in 2018 Based on Multi-Source Data (1852998)
Wenliang Jiang, National Institute of Natural Hazards, Ministry of Emergency Management of China, Beijing, China
 
Daily CYGNSS Water Maps Reveal Inland Water Hot Spots and Hot Moments, from Wetlands to Floodplains (Invited) (1858138)
Tianjiao Pu, Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, United States, Cynthia Gerlein-Safdi, University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, Katie Stephens, University of California Berkeley, Berkeley, CA, United States and Quentin Euler, Ecole Polytechnique, Palaiseau Cedex, France
 
Monitoring Dynamic Shifts in Dissolved Organic Matter (DOM) Using Satellite Remote Sensing at a Large River Confluence (1860236)
Yuehan Lu1, Hongxing Liu2, Shuo Chen3, Ekaterina Miliutina2, Amanjit Premsagar1, Min Xu4, Haibin Su5 and Jilin Men2, (1)The University of Alabama, Geological Sciences, Tuscaloosa, AL, United States, (2)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (3)University of Florida, Department of Soil, Water, and Ecosystem Sciences, Gainesville, United States, (4)Troy University, Troy, United States, (5)Texas A&M University - Kingsvi, Department of Physics and Geosciences, Kingsville, United States
 
Constructing a High-Resolution Reservoir Dataset Across the Contiguous United States Using Sentinel-1 SAR Imagery (1871047)
Shujie Wang1, Hongxing Liu2, Yitao Pu2, Haibin Su3, Lei Wang4, Song Shu5, Dan Tian2, Jihee Seo2 and Matthew C LaFevor6, (1)Pennsylvania State University Main Campus, Geography, Earth and Environmental Systems Institute, ICDS, University Park, PA, United States, (2)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (3)Texas A&M University - Kingsvi, Department of Physics and Geosciences, Kingsville, United States, (4)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, LA, United States, (5)Appalachian State University, Department of Geography and Planning, Boone, NC, United States, (6)University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States
 
Shrinking lakes, Shifting color: Long-Term Surface Reflectance Trends Linked to Lake Shrinkage in Great Basin Saline Lakes (1873878)
Hannah Meier, University of Utah, Salt Lake City, UT, United States, Michael Frederick Meyer, USGS WMA Observing Systems Division, Madison, United States, B Steele, Colorado State University, Fort Collins, United States, Niky Taylor, USGS Western Geographic Science Center, Moffett Field, United States and Jonathan A Wang, University of Utah, School of Biological Sciences, Salt Lake City, UT, United States
 
A Novel Approach Integrating Satellite Data and Geometry-Based Hypsometric Relationships to Enhance Reservoir Storage Estimates (1874955)
Ngoc T. Nguyen1, Hyongki Lee2, Tien Le Thuy Du1, Hong-Yi Li1, Du Duong Bui3 and Hahn Chul Jung4, (1)University of Houston, Department of Civil and Environmental Engineering, Houston, United States, (2)University of Houston, Department of Civil and Environmental Engineering, Houston, TX, United States, (3)National Center for Water Resources Planning and Investigation, Hanoi, Vietnam, (4)Yonsei University, Department of Earth System Sciences, Seoul, South Korea
 
Investigating Lake Ice Phenology in Arctic Wetlands using Planet and Sentinel-2 Imagery (1879814)
Noah Jacobs and Sarah W Cooley, Duke University, Nicholas School of the Environment, Durham, United States
 
The Influence of Flow Regime and Channel Planform on Natural Floodplain Heterogeneity in the U.S. (1880462)
Emily Iskin, Boise State University, Human-Environment Systems, Boise, ID, United States and Ellen Wohl, Colorado State University, Geosciences, Fort Collins, United States
 
Temporal bias in the Landsat-derived surface water record (1882231)
Elizabeth Webb1, Sarah W Cooley2 and Eric Levenson2, (1)University of Oregon, Eugene, OR, United States, (2)University of Oregon, Eugene, United States
 
Integrating SLAM and UAV-LiDAR to Establish a Tree Height–DBH Power law model and UAV - Based Carbon Stock Estimation for Willow Stands in a abandoned paddy wetlands (1882911)
Gapseong Jekal, Youngeun Yang, Seunghyeon Lee and Youngkeun Song, Seoul National University, Seoul, South Korea
 
Declassified and historical Remote Sensing data for reconstructing fluvial landscapes submerged by dams in climate-sensitive regions (1883133)
Roberto Sergio Azzoni1, Luca Forti1, Andrea Brenna1 and Andrea Zerboni2, (1)Università degli Studi di Milano, Dipartimento di Scienze della Terra "A. Desio", Milan, Italy, (2)Università degli Studi di Milano, Dipartimento di Scienze della Terra "A. Desio", Milano, Italy
 
Monitoring Inland Water Bodies from Old and New Generation of Satellite Radar Altimetry Missions (1883330)
Shirzad Roohi, Satellite Ground Segment System Enginner, GMV Innovation Solutions, Darmstadt, Germany, Salvatore Dinardo, Remote Sensing Scientist – Altimetry, Remote Sensing and Products Division, Darmstadt, Germany, Jose Ignacio Oliva, Satellite Ground Segment System Engineer, GMV Innovation Solutions, Darmstadt, Germany and Yuhe T Song, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
Integrating UAV-Based Remote Sensing and In-Situ Monitoring for High-Resolution Water Quality Assessment in North River and Lake Tuscaloosa (1884307)
Godwin Sunday1, Amanjit Premsagar1, Ekaterina Miliutina2, Gabrielle Justine Tapat3, Bryan Gutierrez2, Jihee Seo2 and Hongxing Liu2, (1)The University of Alabama, Geological Sciences, Tuscaloosa, AL, United States, (2)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (3)University of Hawaii at Manoa, Natural Resources and Environmental Management, Honolulu, United States
 
Bridging the Data Gap: Global Mapping of Small Water Reservoirs and Estimating their Storage Capacity (1892134)
Sankeerth Govindaiah Narayanaswamy1,2, Milad Aminzadeh1,2, Kaveh Madani3 and Nima Shokri1,2, (1)Hamburg University of Technology, Institute of Geo-Hydroinformatics, Hamburg, Germany, (2)United Nations University Hub on Engineering to Face Climate Change at the Hamburg University of Technology, United Nations University Institute for Water, Environment and Health (UNU-INWEH), Hamburg, Germany, (3)United Nations University, Institute for Water, Environment and Health (UNU-INWEH), Richmond Hill, ON, Canada
 
Tracking River Flow Dynamics Using LSPIV: Insights from July 16, 2024, Flood in Black Creek, Toronto, Canada (1893847)
Adeyemi Olusola, York University, Faculty of Environmental & Urban Change, Toronto, ON, Canada
 
INTEGRATION OF MULTI-SENSOR REMOTE SENSING FOR ENVIRONMENTAL MONITORING: ASSESSMENT OF WETLAND DEGRADATION IN SEMI-ARID ECOSYSTEMS (1894474)
Rana Waqar Aslam, Iram Naz and Zohaib Afzal, Wuhan University, China, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430079, China., Wuhan, China
 
Does drought intensify algal blooms in global lakes? (1894594)
Taeho Kim1, Haedeun Lee2, Soohyun Yang2 and YoonKyung Cha3, (1)University of Michigan Ann Arbor, Ann Arbor, MI, United States, (2)Department of Environmental Engineering, University of Seoul, Seoul, South Korea, (3)School of Environmental Engineering, University of Seoul, Seoul, South Korea
 
The Mercurial Bay: A Remote Sensing Assessment of Dynamic Surface Water Mercury Concentrations after Atmospheric Rivers in San Francisco Bay (1895555)
Niky Taylor1, Kristin B Byrd1, Mark C Marvin-DiPasquale2, Jacob Fleck3, Brian A Bergamaschi3, Jennifer Agee2, Emily T Richardson3, Chak Wa Cheang1 and Evangelos Kakouros4, (1)USGS Western Geographic Science Center, Moffett Field, United States, (2)U.S. Geological Survey, Menlo Park, United States, (3)USGS California Water Science Center Sacramento, Sacramento, United States, (4)USGS Water Mission Area, Moffett Field, United States
 
Detecting and Mapping Alpine Peatlands with Satellite Remote Sensing (1897350)
Sonia Silvestri1, Qiqi Li2, Alessandra Pollo3, Elisa Tomassone2, Romina Di Paolo4 and Maria Consolata Siniscalco3, (1)University of Bologna, Department of Biological, Geological, and Environmental Sciences, Bologna, Italy, (2)University of Bologna, Department of Biological, Geological and Environmental Sciences, Bologna, Italy, (3)University of Turin, Turin, Italy, (4)ARPA Piemonte, Turin, Italy
 
Global Patterns of Post-Drought Recovery Times in Lakes and Reservoirs (1898598)
Chi Hsiang Huang1, Deep Shah2 and Huilin Gao2, (1)Texas A&M University, Water Management & Hydrological Science, College Station, United States, (2)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States
 
Automated and Accurate Surface Water Delineation: Dynamic Threshold Discovery via Iterative Random Forest and Spectral Indices (1908685)
Mahdi Hosseinipoor1,2, Amir Mohammad Kafi1,2, Fatemeh Ghaffari1,2 and Massoud Tajrishy1,2, (1)Sharif University of Technology, Department of Civil Engineering, Tehran, Iran, (2)Sharif University of Technology, Remote Sensing Research Center (RSRC), Tehran, Iran
 
Assessing Freshwater Lake Decline in Pakistan Using Multi-Temporal Remote Sensing and Hydrological Data (1909489)
Naeem Saddique1, Imran Khan2, Abdul Rehman Islam3, Mannan Aleem4, Syed Muhammad Subtain Abbas2, Sharoon Aftab2, Muneeb Ahmad1 and Hamza Arshad1, (1)University of Agriculture Faisalabad, Irrigation and Drainage, Faisalabad, Pakistan, (2)University of Agriculture Faisalabad, Department of Irrigation and Drainage, Faisalabad, Pakistan, (3)university of Agriculture Faisalabad, Department of irrigation, Faisalabad, Pakistan, (4)University of Agriculture Faisalabad, Structures and Environmental Engineering, Faisalabad, Pakistan
 
Exploring Atmospheric Correction Methods for PACE‑Based HAB Retrieval (1915247)
Nathan Tesfayi1, Abhishek Kumar2, Chintan Maniyar3, Isabella Fiorentino2 and Deepak R Mishra2, (1)University of Georgia, Athens, GA, United States, (2)University of Georgia, Center for Geospatial Research, Department of Geography, Athens, United States, (3)Indian Institute of Remote Sensing, Photogrammetry and Remote Sensing Department, Dehradun, India
 
Remote Sensing Derived Spring Ice-Jam Flood Extents to Inform Environmental Flow Assessments for the Peace-Athabasca Delta Ecosystem in Western Canada (1921716)
Dr. Daniel L Peters, PhD1, Nigel Van Nieuwenhuizen2, Spyros Beltaos2 and Gabriela Siles3, (1)Environment and Climate Change Canada, University of Victoria, Victoria, BC, Canada, (2)Environment and Climate Change Canada, Burlington, ON, Canada, (3)Laval University, Geomatics, Quebec City, QC, Canada
 
Evaluating the Accuracy and Consistency of Satellite-Derived Lake Surface Water Temperature Across Multiple Missions (1922575)
Shuai Zhang1, Deep Shah2, Chi Hsiang Huang3 and Huilin Gao2, (1)Texas A&M University College Station, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States, (2)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (3)Texas A&M University, Water Management & Hydrological Science, College Station, United States
 
Assessment of Sediment Dynamics in Lake Powell, Glen Canyon Dam Colorado using Remote Sensing (1924382)
Rojina Haiju1, Summer Rupper2 and Richard R Forster2, (1)University of Utah, School of Environment, Society and Sustainability, Salt Lake City, United States, (2)University of Utah, School of Environment, Society, and Sustainability, Salt Lake City, United States
 
Hydrological Assessment of Transboundary Water Resources Dynamics in the Rio Grande River Basin Using Google Earth Engine (1927986)
Deen Dayal, Texas A&M AgriLife Research, El Paso, Texas, UNITED STATES, Santosh S. Palmate, Texas A&M University, Texas A&M AgriLife Research, El Paso, TX, United States and Rosario Sanchez, Texas A&M University, Texas water Resources Institute, College Station, TX, United States
 
Impact of optical satellite imagery spatial scale on methane emission estimates from small water bodies (1928309)
Mollie Gaines1,2, Mirela G Tulbure1,2, Marcelo Ardon1, Vinicius Perin3, Varun Tiwari4, Rebecca Composto2 and Júlio Caineta1, (1)North Carolina State University, Forestry and Environmental Resources, Raleigh, United States, (2)North Carolina State University, Center for Geospatial Analytics, Raleigh, United States, (3)Planet Labs, San Francisco, United States, (4)Clark University, Center for Geospatial Analytics, Worcester, United States
 
Long-term trends of surface temperature and evaporation in the largest South America lakes revealed by remote sensing (1934066)
Julia B. Rossi1, Ayan Santos Fleischmann2, Leonardo Laipelt3, Bruno Cesar Comini de Andrade4, Joshua B. Fisher5, Iestyn Woolway6, Roseilson Souza do Vale7, Raoni aquino silva de Santana7, Julio Tota8 and Anderson Ruhoff9, (1)UFRGS Federal University of Rio Grande do Sul, Rio Grande, Brazil, (2)Mamirauá Institute for Sustainable Development, Tefé, Brazil, (3)Universidade Federal Do Rio Grande Do Sul, Porto Alegre, RS, BRAZIL, (4)Institute of Hydraulic Research UFGRS, Porto Alegre, Brazil, (5)Hydrosat, Washington, DC, United States, (6)Bangor University, Bangor, LL59, United Kingdom, (7)Federal University of Western Pará, Santarém, Brazil, (8)Federal University of West Para, Institute of Engineering and Geoscience, Santarem, PA, Brazil, (9)Federal University of Rio Grande do Sul, Institute of Hydraulic Research, Porto Alegre, Brazil
 
RiverScope: High-Resolution River Masking Dataset (1937142)
Rangel Daroya1, Taylor Rowley2, Jonathan Acero Flores2, Elisa Friedmann2, Fiona Bennitt3, Heejin An2, Travis Thomas Simmons2, Ms. Marissa Jean Hughes4, Camryn Kluetmeier5, Solomon Kica6, Jose Daniel Velez6, Sarah Esenther7, Thomas Howard8, Yanqi Ye7, Audrey Turcotte9, Colin J Gleason2 and Subhransu Maji10, (1)University of Massachusetts Amherst, College of Information and Computer Sciences, Amherst, MA, United States, (2)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, (3)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, (4)University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States, (5)University of North Carolina at Chapel Hill, Chapel Hill, United States, (6)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, (7)Brown University, Department of Earth, Environmental and Planetary Sciences (DEEPS), Providence, RI, United States, (8)Brown University, Department of Earth, Environmental & Planetary Sciences (DEEPS), Providence, United States, (9)CIRES, Boulder, United States, (10)University of Massachusetts Amherst, College of Information and Computer Sciences, Amherst, United States
 
Development of a Reservoir Operation Module Integrating Optical Satellite Imagery from Google Earth Engine with a Watershed Model (1938031)
Dr. Younghyun Cho, PhD, Korea Water Resources Corporation, Water Resources & Environmental Research Center, K-water Research Institute, Daejeon, Korea, Republic of (South), Yeon-Gu Park, Wisest, Seoul, South Korea and Jonghyuk Yi, SELAB, Seoul, South Korea
 
Quantitative analysis of the impact of drought onreservoir operations at the Global Scale (1940289)
Nishan Kumar Biswas, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States and Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, United States
 
Using the SWOT Satellite to Assess Global Models of Individual Rivers (Invited) (1944319)
Colin J Gleason, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, Paul D Bates, University of Bristol, School of Geographical Sciences, Bristol, United Kingdom; Fathom, Bristol, United Kingdom and SWOT Science Team members and collaborators
 
Sedimentation and Storage Capacity Assessment of Reservoirs Using Remote Sensing Techniques (1945205)
Ankit Tiwari, Indian Institute of Technology Roorkee, Roorkee, India, Ashok Mishra, Indian Institute of Technology Kharagpur, Agricultural and Food Engineering Department, Kharagpur, India and Kritika Kothari, Indian Institute of Technology Roorkee, Water Resources Development & Management, Roorkee, India
 
Analyzing Coastline Variations in Taiwan Using Multi-Temporal SAR Data (1946485)
Ting Yu Lai, NCU National Central University, Zhongli, Taiwan and Kuo-Hsin Tseng, National Central University, Taoyuan, Taiwan
 
Multi-Decadal Aquatic Vegetation Dynamics in a Regulated River System Using Remote Sensing Records (1951844)
Carly Hansen, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, Kevin Stewart, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States and Paul Matson, Oak Ridge National Laboratory, Oak Ridge, TN, United States
 
Global Stream Roughness Coefficient Dataset (1954191)
Ethan J Shavers, United States Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, United States, Merritt Harlan, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Lakewood CO, United States, David M Bjerklie, U.S. Geological Survey, East Hartford, CT, United States and Gazi Md Iftakher Morshed, Colorado School of Mines, under contract to the USGS, Denver, United States
 
Flood Inundation Mapping from Space: Overview of a Novel Approach for Tracking River Inundation Extent Over Time (1955018)
Nathan Pasley, USGS Oklahoma-Texas Water Science Center, Austin, United States and Amanda Whaling, USGS Lower Mississippi-Gulf Water Science Center, Fayettville, United States
 
Validating SWOT River Observations in Remote and Ungaged Basins Using In Situ and ADCP Measurements (1956244)
Merritt Harlan, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Lakewood CO, United States, David M Bjerklie, U.S. Geological Survey, East Hartford, CT, United States, Dongmei Feng, University of Cincinnati Main Campus, Chemical and Environmental Engineering, Cincinnati, United States, Johary A Andriambeloson, University of Antananarivo, Institute and Observatory of Geophysics of Antananarivo, Antananarivo, Madagascar and Mutelo Mukendoyi, The Permanent Okavango River Basin Water Commission, Gaborone, Botswana
 
Multitemporal Variations in River Width Distributions and Hydraulic Geometry in the Platte River Basin (1957037)
David Go, Virginia Polytechnic Institute and State University, Geosciences, Blacksburg, United States and George H. Allen, Virginia Tech, Department of Geosciences, Blacksburg, United States
 
Water Color Variation in Texas Reservoirs Across Wet and Dry Years: Linking Remote Sensing with Public Water Data (1958254)
Malcolm Macleod, Baylor University, Department of Biology, Waco, United States, Lorena Pinheiro-Silva, University of Maryland Center for Environmental Science Horn Point Laboratory, Cambridge, United States, Xiao Yang, Southern Methodist University, Department of Earth Sciences, Dallas, United States and Stephen M Powers, Baylor University, Biology, Center for Reservoir and Aquatic Systems Research, Waco, TX, United States
 
Remote Sensing of Inland Water Quality for the Contiguous United States (1959138)
Tyler King1, Scott Ducar2, Dulcinea Avouris3, Kendall Wnuk4, Tim Stagnitta5, Brendan Wakefield6, Michael Frederick Meyer7, Wilson Salls8, John Eggleston9, Jeffery A Hansen3 and Thomas Bergamaschi3, (1)U.S. Geological Survey, Hydrologic Remote Sensing Branch, Boise, United States, (2)USGS Idaho Water Science Center, Boise, United States, (3)USGS California Water Science Center Sacramento, Sacramento, United States, (4)U.S. Geological Survey, Maryland-Delaware-DC Water Science Center, Catonsville, United States, (5)USGS New York Water Science Center, Troy, United States, (6)USGS WMA Enterprise Technology Office, San Diego, United States, (7)USGS WMA Observing Systems Division, Madison, United States, (8)USGS New York Water Science Center Troy, Troy, United States, (9)USGS Water Mission Area, Hydrologic Remote Sensing Branch, Reston, United States
 
Monitoring Chlorophyll-a Dynamics in the Tennessee River Through Spatio-Temporal Analysis with Google Earth Engine (1960507)
Anna Sherrill, University of Tennessee at Chattanooga, Chattanooga, United States and AKM Azad Azad Hossain, University of Tennessee at Chattanooga, Department of Biology, Geology and Environmental Science, Chattanooga, United States
 
Impact of Urbanization and Precipitation Change on Discharge in Bangkok, Thailand (1962404)
Gary Bowen and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
 
The Case for Calibration: A Remote Sensing Tool for Wetland Monitoring in the Prairie Pothole Region (1967264)
Maggie Church, Colorado State University Fort Collins, Fort Collins, Colorado, UNITED STATES, Kaylan Kemink, Ducks Unlimited, Bismarck, United States, Saket Gowravaram, Agrograph Inc., Madison, United States, Thomas Riecke, University of Montana, College of Forestry and Conservation, Missoula, United States and Jessica L O'Connell, Colorado State University, Department of Ecosystem Science and Sustainability, Fort Collins, United States
 
SWOT Reveals a Spectrum of Seasonal Backwater Dynamics on Large, Coastal Rivers (1969317)
James Hooker Gearon, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States and Dr. Jida Wang, University of Illinois Urbana-Champaign, Geography & Geographic Information Science, Urbana, United States
 
Identifying and characterizing lake ecosystem tipping points with ESA’s Climate Change Initiative (CCI) satellite data products (1970213)
Ann Scheliga1,2, Daniel Odermatt2, Elisa Calamita2, Caren Binding3 and Iestyn Woolway4, (1)University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, (2)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Surface Waters, Duebendorf, Switzerland, (3)Environment and Climate Change Canada, Burlington, ON, Canada, (4)Bangor University, Bangor, LL59, United Kingdom
 
Using Sentinel‑1 data to assess the impact of hydroclimatic extremes on water reservoirs (1971631)
Natalia Wielgocka1, Paweł Bogusławski1, Dominik Teodorczyk1, Zhanzhang Cai2 and Radosław Stodolak3, (1)Wroclaw University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, Wroclaw, Poland, (2)Lund University, Department of Physical Geography and Ecosystem Science, Lund, Sweden, (3)Wroclaw University of Environmental and Life Sciences, Institute of Environmental Engineering, Wroclaw, Poland
 
Estimating Lake Storage Variations using a Fusion of SWOT and Dynamic Surface Water Extent (DSWx) (1978985)
Matthew Bonnema, NASA Jet Propulsion Laboratory, Pasadena, United States and Manu Tom, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Derivation of Full‑Depth Velocity Profiles across River Channels by using Drone-based Particle Imagining Velocimetry and Entry-based Velocity Distribution Model (1985656)
Lei Wang1, Hongxing Liu2, Jihee Seo2, Dan Tian2, Song Shu3 and Sagy Cohen4, (1)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, LA, United States, (2)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (3)Appalachian State University, Department of Geography and Planning, Boone, NC, United States, (4)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, United States
 
Remote Sensing of Discharge through Critical Flow Theory: Sensitivity Analysis (1988815)
Inhyeok Bae1, Elowyn Yager1, Becky Fasth2, Daniel White3, Christina Leonard4 and Gordon E. Grant2, (1)University of Idaho, Center for Ecohydraulics Research, Boise, United States, (2)Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, United States, (3)Colorado State University, Civil and Environmental Engineering, Fort Collins, United States, (4)National Park Service, Water Resources Division, Fort Collins, United States
 
Global Large River Observatory: What River Geomorphic Dynamics Could Be Monitored Today, but Still Aren’t (1994069)
Simone Bizzi1, Nicola Surian1, Elisa Bozzolan1, Andrea Brenna2, Martina Cecchetto1, Elia Taffetani3, Elisa Matteligh1, Federica Vanzani1 and Patrice Carbonneau4, (1)Department of Geosciences, University of Padova, Padova, Italy, (2)Università degli Studi di Milano, Dipartimento di Scienze della Terra "A. Desio", Milan, Italy, (3)Sapienza Università di Roma - Dipartimento di Ingegneria Civile, Edile e Ambientale, Roma, Italy, (4)Department of Geography, Durham University, Durham, United Kingdom
 
Remote Sensing of Carotenoid Pigments in Transient Hypersaline Lakes in Western Australia as an Indicator of Environmental Change Through Time (1997709)
Taylor Plattner1, Britney Schmidt2, Priscila Lange3, Sanjoy M Som4, Benjamin Klempay5, Emily R Paris6, Margaret Meiqi Weng7, Jeff Shovlowsky Bowman5, Nicole M M Fernandez8, Emilie Skoog5, Hunter Thomas Jamison9, Ellery D Ingall10, Peter T Doran11, Margaret Birmingham12, Jessica Weber13, Amina Traore Schartup5, Steffen Buessecker6, Enrica Quartini14, Luke Fisher5, Cathryn Sephus5, Chad Pozarycki10, Arthur Odenheimer15, Martin Towner16 and the Esperance Tjaltjraak Native Title Aboriginal Corporation and the OAST Team, (1)Georgia Institute of Technology, School of Earth and Atmospheric Sciences, Atlanta, United States, (2)Cornell University, Astronomy and Earth & Atmospheric Sciences, Ithaca, United States, (3)Instituto Nacional de Pesquisas Oceânicas (INPO) - Brazil, Rio de Janeiro, Brazil, (4)Blue Marble Space Institute of Science, Seattle, United States, (5)Scripps Institution of Oceanography, La Jolla, United States, (6)Stanford University, Stanford, United States, (7)Georgetown University, Washington, United States, (8)Cornell University, Department of Earth and Atmospheric Sciences, Ithaca, NY, United States, (9)Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States, (10)Georgia Institute of Technology, Atlanta, United States, (11)Louisiana State University, Baton Rouge, United States, (12)University of Kansas, Department of Geology, Lawrence, United States, (13)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (14)Cornell University, Astronomy, Ithaca, United States, (15)University of California Los Angeles, Department of Chemistry, Los Angeles, United States, (16)Curtin University, Space Science and Technology Centre, Perth, Australia
 
Near Daily Ice Cover Records from 100,000 Lakes Using Optical Satellite Imagery (1998462)
Audrey N Thellman, University of California Santa Barbara, Ecology, Evolution, and Marine Biology, Santa Barbara, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States and Xiao Yang, Southern Methodist University, Department of Earth Sciences, Dallas, United States
 
Using Remote Sensing to map the presence and abundance of Manoomin (Wild Rice) in the Great Lakes region (2000445)
Keith Aric Cherkauer, Purdue University, Agricultural & Biological Engineering, West Lafayette, IN, United States and Ayomide Adepeju, Purdue University, Agricultural and Biological Engineering, West Lafayette, United States
 
Morphometric Analysis and Geomorphic Indices of Active Tectonics in the Wabash Valley Seismic Zone (2001001)
Sanjeev Parajuli1, Ronald Counts2 and Arjun Bhandari2, (1)University of Mississippi Main Campus, University, MS, United States, (2)University of Mississippi, Geology & Geological Engineering, Oxford, United States
 
Recent Updates on ICESat-2 Inland Water Products of Global Lakes, Reservoirs, Rivers and Coastal Waters (2001072)
Michael F Jasinski, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States and Jeremy D Stoll: Science Systems and Applications, Inc., and NASA GSFC Hydrological Sciences Laboratory
 
Evaluating Evaporation Data Products Over Colombian Reservoirs for Improved Water Balance Assessments (2002106)
Jessica V Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, MI, United States and Angelica Maria Gomez, Universidad Nacional de Colombia, Bogota, Departamento de Geografía, Bogota, Colombia
 
Monitoring monthly groundwater level variation in the Nebraska Sandhills using remote sensing (2003267)
Nawaraj Shrestha, University of Nebraska Lincoln, School of Natural Resources, Lincoln, NE, United States, Troy Gilmore, University of Nebraska-Lincoln, Conservation and Survey Division, School of Natural Resources, Lincoln, United States, Aaron Mittelstet, University of Nebraska Lincoln, Biosystem Engineering, Lincoln, United States, Aaron Young, University of Nebraska Lincoln, Conservation Survey Division, School of Natural Resources, Lincoln, United States and Matthew Joeckel R., University of Nebraska Lincoln, Conservation Survery Division, School of Natural Resources, Lincoln, United States
 
Remote sensing data for peatland monitoring: applications of multi-temporal SAR interferometry for surface motion analysis (2004874)
Christian Bignami1, Cristiano Tolomei2, Lisa Beccaro1, Stefano Salvi3, Gerardo Lopez Saldana4, Michel Bechtold5 and Kevin Tansey6, (1)Istituto Nazionale di Geofisica e Vulcanologia, Palermo, Italy, (2)INGV National Institute of Geophysics and Volcanology, Rome, Italy, (3)National Institute of Geophysics and Volcanology, Rome, Italy, (4)Assimila, Reading, United Kingdom, (5)von Thunen-Institut (vTI), Braunschweig, Germany, (6)Universtity of Leceister, Leicester, United Kingdom
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