H089
Remote Sensing of Rivers, Lakes, Reservoirs and Wetlands

Session ID#: 156869

Session Description:
Surface water processes play an essential role in Earth systems. However, these processes are not fully understood at regional to global scales. Passive and active remote sensing offer the potential to address knowledge gaps in surface water entities, including rivers, lakes, reservoirs and wetlands. Multi-satellite remote sensing data can not only facilitate an improved understanding of the long term variability and trends of surface water processes, but can also provide observations on a near real-time basis for monitoring and prediction, particularly in data-sparse regions.

We are soliciting abstracts that employ remote sensing data along with approaches to study surface water processes (e.g., river discharge, lake volume variation, wetland inundation, floods, coastal land flooding) and support the development of novel applications (e.g., new algorithms/datasets, integration with models and in situ data). The session focuses on, but is not limited to, exploring the roles of surface water bodies and wetlands in water management, hydrological cycles, ecosystem services, and land-atmosphere interactions.

Index Terms:

1819 Geographic Information Systems (GIS) [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1856 River channels [HYDROLOGY]
1857 Reservoirs (surface) [HYDROLOGY]

Primary Convener:  Jérôme Benveniste, European Space Agency (ESA-ESRIN), Earth Observation Programmes, Frascati, Italy
Conveners:  Huilin Gao, Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, Ethan J Shavers, United States Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, United States and George H. Allen, Texas A&M University, Department of Geography, College Station, United States
Student/Early Career Convener:  George H. Allen, Texas A&M University, Department of Geography, College Station, United States
 
Anticipating SWOT Water and Wetland Phenomenology using airborne Ka-band SAR from AirSWOT (Invited) (1047111)
Jessica V Fayne, University of California, Los Angeles, Department of Geography, Los Angeles, United States; University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, United States, Etienne Fluet-Chouinard, ETH Zurich, Dept. of Earth Sciences, Zurich, Switzerland, Jida Wang, Kansas State University, Geography and Geospatial Sciences, Manhattan, United States, Laurence C Smith, Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, RI, United States, Mahta Moghaddam, University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, Los Angeles, CA, United States, Fabrice Papa, LEGOS Laboratoire d'Etudes en Géophysique et Océanographie Spatiales, Toulouse, France; IRD, Toulouse Cedex 09, France, Ayan Santos Fleischmann, Mamirauá Institute for Sustainable Development, Tefe, Brazil and Melanie Trudel, University of Sherbrooke, Civil and Building Engineering, Sherbrooke, QC, Canada
 
Understanding flood risk from space: opportunities to adapt to changing risk (Invited) (1048204)
Beth Tellman1,2, Subit Chakrabarti2, Colin Doyle3, Jonathan Sullivan4, Jonathan M Frame2, Rohit Mukherjee5, Hannah Friedrich6, Jonathan Giezendanner6, Zhijie Zhang7, Ruixue Wang6, Frederick S Policelli8 and Afolarin Lawal9, (1)University of Arizona, School of Geography, Development and Environment, Tucson, AZ, United States, (2)Cloud to Street, New York, United States, (3)Cloud to Street, Brooklyn, United States, (4)University of Arizona, School of Geography, Development & Environment, Tucson, United States, (5)University of Arizona, School of Geography, Development, and Environment, Tucson, AZ, United States, (6)University of Arizona, Tucson, AZ, United States, (7)University of Arizona, School of Geography, Development and Environment, Tucson, United States, (8)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (9)Cloud to Street, New York, NY, United States
 
River Width and Streamflow Monitoring with CYGNSS Remote Sensing Data (1050070)
April Marie Warnock1, Christopher S Ruf2, Hugo Carreno-Luengo3, Ollie Paulus3, William Plucknett3, Michael Rinaldi3, Arie Knoll1 and Kelsey Brunner1, (1)SRI International Ann Arbor, Ocean Modeling Laboratory, Ann Arbor, United States, (2)University of Michigan Ann Arbor, Climate and Space, Ann Arbor, United States, (3)University of Michigan Ann Arbor, Climate and Space, Ann Arbor, MI, United States
 
Satellite gravimetry helps monitor the operation of large reservoirs (1051735)
Jessica Besnier1, Nishan Kumar Biswas2, Augusto Getirana2 and Venkataraman (Venkat) Lakshmi3, (1)University of Virginia, Charlottesville, VA, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)University of Virginia, Engineering Systems and Environment, Charlottesville, United States
 
Mapping River Inundation Using Landsat Derivatives (1053362)
Nathan Pasley, Austin, TX, UNITED STATES; USGS Oklahoma-Texas Water Science Center, Austin, TX, United States, Jessica Z. LeRoy, USGS Central Midwest Water Science Center, Urbana, IL, United States and Richard McDonald, USGS Office of Research, Golden, CO, United States
 
Impacts of the Grand Ethiopian Renaissance Dam’s filling strategies on Ethiopia, Sudan, and Egypt (1058480)
Mohamed Ahmed, Texas A&M University Corpus Christi, Physical and Environmental Sciences, Corpus Christi, TX, United States
 
Validating surface water detection methods using a hand-labeled PlanetScope dataset (1063804)
Ruixue Wang1, Rohit Mukherjee2, Frederick S Policelli3, Beth Tellman2, Albert Kettner4 and Chandana Gangodagamage5, (1)University of Arizona, Tucson, AZ, United States, (2)University of Arizona, School of Geography, Development and Environment, Tucson, AZ, United States, (3)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (4)University of Colorado Boulder, INSTAAR, Boulder, CO, United States, (5)University of Maryland, ESSIC, Greenbelt, United States
 
On The Applications of Coherence Detection For Inland Water Sensing Using CYGNSS Level-1 Measurements (1064283)
Mohammad Al-Khaldi, University Corporation for Atmospheric Research, Boulder, CO, United States, Joel Johnson, Ohio State University, Department of Electrical and Computer Engineering, Columbus, United States and Scott Gleason, UCAR, Boulder, United States
 
Coupling CYGNSS and Digital Elevation Data for High Spatio-temporal Mapping of Inundation (1068524)
Tianjiao Pu1, Cynthia Gerlein-Safdi2, Eric A Kort3, A. Anthony Bloom4 and Mengze Li3, (1)University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Comparison Between Potential and Actual Hydroelectric Energy Generated by A Cluster of dams (1069171)
Ninad P Bhagwat and Xiaobing Zhou, Montana Technological University, Geological Engineering, Butte, United States
 
Multi-spectral Canopy Analysis for Detection of Subcanopy Headwater Streams (1075103)
Ethan J Shavers, United States Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, United States
 
MODIS Data Products help to explain Environmental Conditions Leading to Desiccation of Terminal Lakes in the Great Basin of the Western United States (1087174)
Dorothy K Hall, University of Maryland College Park, College Park, MD, United States, John Kimball, University of Montana, Numerical Terradynamic Simulation Group, W.A. Franke College of Forestry & Conservation, Missoula, United States, Ron Larson, Oregon Lakes Association, Portland, United States, Nicolo E. DiGirolamo, Science Systems and Applications, Inc., Lanham, MD, United States, Kimberly Casey, U.S. Geological Survey, Reston, VA, United States and Glynn C Hulley, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Mapping Inland Water Bodies by Using High-rate Space-borne GNSS-R Observations (1095917)
Jiahua Zhang1, Y. Jade Morton2, Yang Wang3 and Carolyn Roesler2, (1)University of Colorado Boulder, Boulder, United States, (2)University of Colorado at Boulder, Smead Aerospace Engineering Sciences, Boulder, CO, United States, (3)University of Colorado at Boulder, Smead Aerospace Engineering Sciences, Boulder, United States
 
Detecting Changes of Wetland Boundaries by Applying Particle Image Velocimetry to UAS Orthoimagery in Galveston Bay, Texas (1098098)
Soo Bum Bae1, Jin Young Kim1, ChiHsiang Huang1, Yao Li1, Fangzhou Tong2, Shuai Zhang1, Kuang-An Chang1, Jens Figlus2, Huilin Gao1, James Michael Kaihatu1 and Scott A Socolofsky1, (1)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (2)Texas A&M University, Department of Ocean Engineering, College Station, United States
 
Using satellite data to calibrate large-scale hydrological models in poorly-gauged and heavily-regulated basins (1103545)
Dung Trung Vu Trung1, Thanh Duc Dang2, Francesca Pianosi3 and Stefano Galelli1, (1)Singapore University of Technology and Design, Pillar of Engineering Systems and Design, Singapore, Singapore, (2)University of South Florida, Civil and Environmental Engineering, Tampa, United States, (3)University of Bristol, Civil Engineering, Bristol, United Kingdom
 
High resolution mapping of Texas wetland evolution using Landsat and CubeSat images (1104138)
ChiHsiang Huang1, Yao Li2, Shuai Zhang2, Soo Bum Bae2, Jin Young Kim2, Fangzhou Tong3, Kuang-An Chang2, James Michael Kaihatu2, Jens Figlus3, Scott A Socolofsky4 and Huilin Gao2, (1)Texas A&M University College Station, 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, Department of Ocean Engineering, College Station, United States, (4)Texas A & M University College Station, College Station, United States
 
An Investigation of Long-term Variations in Carbon and Water Cycles Using Remote Sensing Datasets: Focusing on Constructed Wetlands in the Korean Peninsula (1104261)
Jeemi Sung, Changhyun Jun, Hyeon-Joon Kim and Jongjin Baik, Chung-Ang University, Department of Civil and Environmental Engineering, Seoul, South Korea
 
A Novel Fusion of D-InSAR and Satellite Altimetry to Estimate Lakes' Water Levels (1104293)
Saeid Aminjafari, Stockholm University, Department of Physical Geography, Stockholm, Sweden and Fernando Jaramillo, Stockholm University, Department of Physical Geography and Baltic Sea Centre, Stockholm, Sweden
 
A method for estimating monthly surface water areas from the Landsat-based Global Surface Water Dataset (1105950)
Junhua Li and Shusen Wang, Natural Resources Canada, Ottawa, ON, Canada
 
Assessing the Accuracy of Discharge Estimates Made from Satellite Remote Sensing Observations (1106886)
David M Bjerklie, U.S. Geological Survey, New England Water Science Center, Pembroke, NH, United States, Michael T Durand, Byrd Polar and Climate Research Center, Columbus, United States, James Lenoir, USGS New England Water Science Center - Massachusetts Office, Northborough, United States, Robert W Dudley, U.S. Geological Survey, New England Water Science Center, Augusta, ME, United States, Charon M Birkett, NASA Goddard Space Flight Center, Greenbelt, MD, United States, John W. Jones, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Kearneysville, United States and Jack Eggleston, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Leetown, WV, United States
 
High-temporal Resolution-monitoring of Reservoir Water Storage in the Transboundary Lancang-Mekong River Basin in Southeast Asia (1109755)
Yiming Wang, Di Long and Xingdong Li, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
 
Multisource remote sensing reveals contrasting seasonality of lakes and reservoirs across China (1109836)
Yongzhe Chen and Di Long, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
 
An Improved Approach of Estimating Ice Thickness and Water Level for Boreal Lakes with Satellite Altimetry (1110618)
Xingdong Li1, Di Long1, Yanhong Cui1 and Tingxi Liu2, (1)Tsinghua University, Department of Hydraulic Engineering, Beijing, China, (2)Inner Mongolia Agricultural University, College of Water Conservancy and Civil Engineering, Hohhot, China
 
Assessing the Potential for Remotely Sensed Discharge to Estimate Carbon Fluxes for Ungauged Rivers (1111935)
Jaclyn Gehring1, Edward Beighley1, Aron Stubbins2, Claire G Griffin3, Robert G Spencer4 and Karen E Frey5, (1)Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States, (2)Northeastern University, Boston, MA, United States, (3)University of Virginia, Department of Environmental Sciences, Charlottesville, United States, (4)Florida State University, Tallahassee, United States, (5)Clark University, Graduate School of Geography, Worcester, MA, United States
 
Assessing Altimetry and Optical Remote Sensing Products to Study Global Sediment Transport Dynamics in Earth’s Inland Water Bodies (1112125)
Molly Stroud1, George H. Allen2, Marc Simard3, Daniel Jensen3, Daniel Selva4, Huilin Gao5 and Cedric H David6, (1)Virginia Polytechnic Institute and State University, Department of Geosciences, Blacksburg, United States, (2)Texas A&M University, Department of Geography, College Station, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Texas A&M University, Department of Aerospace Engineering, College Station, TX, United States, (5)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (6)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Shallow Water Depth Estimation in Inland Wetlands Using Landsat Imagery (1113284)
Alfred J Kalyanapu and Collins Owusu, Tennessee Technological University, Cookeville, TN, United States
 
Developing long-term global lake evaporation and temperature profiles records using MODIS observations (1116800)
Shuai Zhang1, Gang Zhao2, Bingjie Zhao3, Deep Shah4 and Huilin Gao4, (1)Texas A&M University College Station, College Station, TX, United States, (2)Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, United States, (3)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States, (4)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States
 
Remote Sensing of River Temperatures: Exploring Connections to Discharge in the Ohio River Basin (1117426)
Emily A. Ellis and George H. Allen, Virginia Polytechnic Institute and State University, Department of Geosciences, Blacksburg, United States
 
Analyzing Geomorphologic and Hydrologic Controls of Long-term River Channel Migration (1118516)
Rensi Pipalia, Sayan Dey and Venkatesh Merwade, Purdue University, West Lafayette, IN, United States
 
Evaluating Discharge Estimation and Surface Water Mapping Methods on Derived Flood Boundaries (1120124)
Colin Richardson1, Jaclyn Gehring2, Bhavya Duvvuri2, Kelsey Pieper1, C. Nathan Jones3 and Edward Beighley2, (1)Northeastern University, Department of Civil and Environmental Engineering, Boston, United States, (2)Northeastern University, Department of Civil and Environmental Engineering, Boston, MA, United States, (3)University of Alabama, Biological Sciences, Tuscaloosa, United States
 
DSWx-HLS: Analysis Ready Data for Monitoring Surface Water Extent Dynamics with Near-Global Scope through Harmonized Landsat and Sentinel-2 (1121908)
John W. Jones1, Gustavo H.X. Shiroma2, Matthew Bonnema2, Charles Marshak3, Samantha C Niemoeller2, Alexander L Handwerger3, Simran Sangha2, Mary Grace Bato2, Heresh Fattahi2 and David P Bekaert2, (1)U.S. Geological Survey, Hydrologic Remote Sensing Branch, Kearneysville, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States
 
Comparing Urban Flood Dynamics Using SAR Imagery and Google Earth Engine: Case Studies In Dhaka And Houston (1128919)
Md Abdullah Al Mehedi1,2, Virginia Smith2 and Peleg Kremer3, (1)Villanova University, Villanova, PA, United States, (2)Villanova University, Civil and Environmental Engineering, Villanova, PA, United States, (3)Villanova University, Geography and the Environment, Villanova, PA, United States
 
SAR, SARin, RDSAR and FF-SAR Altimetry Processing on Demand over Inland Water for Cryosat-2 and Sentinel-3 at ESA’s Altimetry Virtual Lab (1129437)
Jérôme Benveniste1, Salvatore Dinardo2, Christopher Buchhaupt3, Marcello Passaro4, Luciana Fenoglio-Marc5, Michele Scagliola6, Giovanni Sabatino7, Carla Orru7, Marco Restano8 and Americo Ambrozio9, (1)European Space Agency (ESA-ESRIN), Earth Observation Programmes, Frascati, Italy, (2)CLS (Collect Localisation Satellites), Toulouse, France, (3)University of Maryland, NOAA/STAR/SOCD/Laboratory for Satellite Altimetry, College Park, MD, United States, (4)Technical University of Munich, Munich, Germany, (5)University of Bonn, Institute of Geodesy and Geoinformation, Bonn, Germany, (6)RHEA/ESA-ESRIN, Frascati, Italy, (7)Progressive Systems/ESRIN, Frascati, Italy, (8)SERCO/ESA-ESRIN, Frascati, Italy, (9)DEIMOS/ESA-ESRIN, Frascati, Italy
 
Using Remote Sensing and Machine Learning to Locate Groundwater Discharge to Salmon-Bearing Streams (1131725)
Mark Cable Rains1, Kai Rains1, Mary Gerlach2, Edgar Guerron Orejuela3, William Kleindl4, Joni Downs5, Shawn Landry3, Coowe Walker6 and Syverine Bentz6, (1)University of South Florida, School of Geosciences, Tampa, FL, United States, (2)University of South Florida Tampa, Geosciences, Tampa, FL, United States, (3)University of South Florida Tampa, Tampa, FL, United States, (4)Montana State University, Bozeman, MT, United States, (5)University of South Florida Tampa, School of Geosciences, Tampa, United States, (6)Kachemak Bay National Estuarine Research Reserve, Homer, AK, United States
 
Towards operational surface water extent estimation from C-band sentinel-1 SAR imagery (1139165)
Jungkyo Jung, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Heresh Fattahi, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
GLOBAL FLOOD MAPPING WITH HIGH-RESOLUTION OPTICAL-RADAR DATA FUSION (1140009)
Mirela G Tulbure1, Mollie Gaines2, Vinicius Perin1, Tamlin Pavelsky3, Stephen V. Stehman4, Mark Broich5, Varun Tiwari6 and Júlio Caineta7, (1)North Carolina State University Raleigh, Center for Geospatial Analytics, Raleigh, United States, (2)North Carolina State University Raleigh, Center for Geospatial Analytics, Raleigh, NC, United States, (3)University of North Carolina at Chapel Hill, Chapel Hill, United States, (4)State University of New York, College of Environmental Science and Forestry, Syracuse, United States, (5)University of New South Wales, Sydney, NSW, Australia, (6)ICIMOD, Kathmandu, Nepal, (7)University of Pittsburgh, Pittsburgh, PA, United States
 
The use of Synthetic Aperture Radar for surface waterbody detection: a comparative study of thresholding methods (1142200)
Seungcheol Oh, Sungkyunkwan University, Suwon, South Korea, Seulchan Lee, Sungkyunkwan University, Department of water resources, Suwon, Gyeonggi-do, Korea, Republic of (South), Wanyub Kim, Sungkyunkwan University, Suwon-si, South Korea and Minha Choi, Sungkyunkwan University, School of Civil, Architecture Engineering & Landscape Architecture, Suwon, Gyeonggi-do, South Korea
 
A New Global 30m HAND Dataset to Support Hydrological Services and Applications (1142397)
Joseph H Kennedy1,2, Arif Albayrak3, Minjeong Jo4, Andrew Johnston5, Heidi Kristenson6, Elodie Macorps7, Franz Josef Meyer6, Batuhan Osmanoglu8, James Rine5, Jacquelyn Smale5, Forrest F. Williams5 and Jiang Zhu5, (1)Alaska Satellite Facility, Fairbanks, AK, United States, (2)University of Alaska Fairbanks, Anchorage, United States, (3)NASA Goddard Space Flight Center, GES DISC, Greenbelt, MD, United States, (4)USRA/NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)Alaska Satellite Facility, Fairbanks, United States, (6)University of Alaska Fairbanks, Fairbanks, United States, (7)NASA Goddard Space Flight Center, Greenbelt, United States, (8)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Improving SAR Altimeter processing over Inland Water - the ESA HYDROCOASTAL project (1142826)
David Cotton1, Ole Baltazar Andersen2, Peter Bauer-Gottwein3, Nicolas Bercher4, Mathilde Cancet5, Francesco De Biasio6, Denise Dettmering7, Pierre Laurent Fabry8, Luciana Fenoglio-Marc9, Joana Fernandes10, Albert Garcia-Mondéjar11, Jesus Gomez-Enri12, Clara Lazaro13, Karina Nielsen14, Marcello Passaro7, Marl Pattle15, Heidi Ranndal16, Lisa Recchia17, Cornelis Slobbe18, Angelica Tarpanelli19, Bernd Uebbing9, Telmo Vieira10, Stefano Vignudelli20,21, Elena Anatolievna Zakharova22, Marco Restano23 and Jérôme Benveniste24, (1)SatOC Satellite Oceanographic Consultants Limited, Bramhall, United Kingdom, (2)DTU Space, Lyngby, Denmark, (3)Technical University of Denmark, Department of Environmental Engineering, 2800 Kgs. Lyngby, Denmark, (4)AltiHydroLab.fr, Sainte-Foy-lès-Lyon, France, (5)Noveltis, Labège, France, (6)CNR-ISP, Venezia, Italy, (7)Technical University of Munich, Munich, Germany, (8)Along-Track S.A.S., Plougonvelin, France, (9)University of Bonn, Institute of Geodesy and Geoinformation, Bonn, Germany, (10)Fac. Ciencias Univ. Porto, Porto, Portugal, (11)isardSAT, Surrey, United Kingdom, (12)University of Cadiz, Cadiz, Spain, (13)Fac. de Ciencias Univ. Porto, Porto, Portugal, (14)DTU-SPACE, Kgs. Lyngby, Denmark, (15)isardSAT, Guildford, United Kingdom, (16)DTU Space, National Space Institute, Technical University of Denmark, Lyngby, Denmark, (17)Aresys, Milano, Italy, (18)Delft University of Technology, Delft, Netherlands, (19)Research Institute for Geo-Hydrological Protection National Research Council CNR, Perugia, Italy, (20)National Oceanography Centre, Southampton, United Kingdom, (21)Consiglio Nazionale Delle Ricerche (CNR), Pisa, Italy, (22)Maynooth University, Maynooth, Ireland, (23)SERCO for European Space Agency, Frascati, Italy, (24)European Space Agency (ESA-ESRIN), Earth Observation Programmes, Frascati, Italy
 
Connecting River Water Level from Satellite Altimetry at the Full-Catchment Scale (1145316)
Jiaming Chen1, Luciana Fenoglio-Marc1, Jürgen Kusche1 and Jingjuan Liao2, (1)University of Bonn, Institute of Geodesy and Geoinformation, Bonn, Germany, (2)Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
 
Hydrologic Inference in Ungauged Basins using L-band Microwave Surrogate Runoff observations (1147575)
Hae Na Yoon1, Lucy Amanda Marshall1, Ashish Sharma1 and Seokhyeon Kim2, (1)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia, (2)Kyung Hee University, Department of Civil Engineering, Yongin, South Korea
 
Satellite radar and lidar altimeters observed seasonal variation in water level of Ganga River (1150025)
Pankaj Dhote1,2, Ankit Agarwal1 and Praveen K Thakur2, (1)Indian Institute of Technology Roorkee, Department of Hydrology, Roorkee, India, (2)Indian Institute of Remote Sensing, ISRO, Water Resources Department, Dehradun, India
 
Multi-sensor fusion and data assimilation in a hydrology-hydraulics model for the estimation of discharge in the Middle Nige (1150291)
Kevin Larnier1, Charlotte Emery1, Marielle Gosset2, Adrien Paris3 and Joao Hemptinne1, (1)CS GROUP - France, Space Business Unit, Toulouse, France, (2)IRD, Toulouse, France, (3)HYDRO MATTERS, Toulouse, France
 
Evaluation of Atmospheric Correction Processors and Semi-Empirical Algorithms for Retrieval of Chlorophyll-a Concentrations from Multi-Spectral Satellite Imagery over Western Lake Ontario (1152585)
Ali Reza Shahvaran1, Homa Kheyrollah Pour2 and Philippe Van Cappellen1, (1)University of Waterloo, Ecohydrology Research Group, Waterloo, ON, Canada, (2)Wilfrid Laurier University, Department of Geography and Environmental Studies, Waterloo, Canada
 
Tracking Littoral Area Variability in Multi-purpose Reservoirs through Remote Sensing: Implications for GHG Emissions (1153285)
Bilal Iftikhar, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States and Carly Hansen, Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States
 
High-spatiotemporal-resolution mapping of surface water in China using optical and radar images from Landsat and Sentinel satellites (1153309)
Luoqi Li1, Di Long2, Yiming Wang1 and Xingdong Li1, (1)Tsinghua University, Department of Hydraulic Engineering, Beijing, China, (2)University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, TX, United States
 
Shoreline Classification and Erosion Characterization on the Illinois Coast of Lake Michigan using Synthetic Aperture Radar (1156813)
Riley J Balikian, Illinois State Geological Survey, Champaign, IL, United States and Patricia M Gregg, University of Illinois at Urbana-Champaign, Urbana, IL, United States
 
Developing a SmallSat Mission Concept to Monitor Inland Water Quality (1166291)
George H. Allen1, Daniel Selva2, Benjamin Jared Gorr2, Huilin Gao3, Emily A. Ellis4, Molly Stroud5, Yao Li3, John Cole Morgan6, Ryan Riggs7 and Helen Reed2, (1)Texas A&M University College Station, College Station, TX, United States, (2)Texas A&M University, Department of Aerospace Engineering, College Station, TX, United States, (3)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (4)Texas A&M University, Department of Geography, College Station, TX, United States, (5)Dartmouth College, Department of Earth Sciences, Hanover, NH, United States, (6)Western Carolina University, Cullowhee, NC, United States, (7)Texas A&M University, Department of Geography, College Station, United States
 
Global Spatiotemporally Seamless Estimates of Mean River Discharge Extrapolated from In-Situ Observations (1169483)
Elyssa Collins1,2, Cedric H David1, Ross Kendall Meentemeyer2, Georgina Sanchez2, Ryan Riggs3 and George H. Allen3, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)North Carolina State University, Center for Geospatial Analytics, Raleigh, United States, (3)Texas A&M University, Department of Geography, College Station, United States
 
Operational ICESat-2 Inland Surface Water Products for Global Hydrology: Recent Enhancements (1172006)
Michael F Jasinski1, Jeremy Stoll2, David Hancock3, Jyothi Nattala2 and Claudia Cristina Carabajal4, (1)NASA Goddard Space Flight Center, Hydrological Sciences Lab, Greenbelt, MD, United States, (2)Science Systems and Applications, Inc., Lanham, MD, United States, (3)SSAI, NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Science Systems and Applications, Inc., Greenbelt, United States
 
Assessing the Accuracy of Planet and Sentinel-2 Derived Water Maps through in situ GNSS Validation (1172021)
Ian Van Dusen1, Sarah W Cooley2, Eric Levenson2, Ted Langhorst3, Lincoln H H Pitcher4 and Tamlin Pavelsky5, (1)University of Oregon, Eugene, OR, United States, (2)University of Oregon, Eugene, United States, (3)UNC-Chapel Hill, Chapel Hill, United States, (4)University of California Los Angeles, Los Angeles, United States, (5)University of North Carolina at Chapel Hill, Chapel Hill, United States
 
Developing and validating the SNPP/JPSS VIIRS Global Water Reservoir Product (1172103)
Huilin Gao1, Shuai Zhang1, Deep Shah1, Gang Zhao2, Sudipta Sarkar3, Carol C Davidson4, Rui Zhang5 and Sadashiva Devadiga4, (1)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (2)Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Sigma Space Corporation, Lanham, MD, United States, (5)GLOBAL SCIENCE & TECHNOLOGY INC, Greenbelt, United States
 
Nadir altimeter validation in small lakes using multisource ground observations (1172137)
Angelica Maria Gomez, University of North Carolina at Chapel Hill, Geography, Chapel Hill, NC, United States, Sylvain Biancamaria, OMP/LEGOS, Toulouse, France, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, United States, Grant Parkins, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Megan Lane, University of North Carolina at Chapel Hill, Institute for the Environment, Chapel Hill, United States, Faisal Hossain, University of Washington, Seattle, WA, USA, Seattle, United States, Shahzaib Khan, University of Washington Seattle Campus, Seattle, United States, Rajat Bhattarai, Tennessee Technological University, Cookeville, United States, Sheikh K Ghafoor, Tennessee Technological University, Cookeville, TN, United States, Jean-François Crétaux, Centre National d'Études Spatiales (CNES), Laboratoire d'Études en Géophysique et Océanographie Spatiales (LEGOS), Toulouse, France and Nicolas Picot, CNES French National Center for Space Studies, Toulouse Cedex 09, France
 
Coherency-based Inland Water Body Detection with Spire Grazing Angle GNSS-R Data using the Strongest EPL Channel (1174587)
Margaret Scott1, Carolyn Roesler1, Jiahua Zhang2, Yang Wang2 and Jade Morton2, (1)University of Colorado at Boulder, Smead Aerospace Engineering Sciences, Boulder, CO, United States, (2)University of Colorado at Boulder, Smead Aerospace Engineering Sciences, Boulder, United States
 
UAV-based Remote Sensing to Measure Water Surface Areas in Florida (1175972)
Seyed Sina Shid-Moosavi1, Peng “Patrick” Sun2, Craig Jariz2 and Dingbao Wang1, (1)University of Central Florida, Orlando, FL, United States, (2)University of Central Florida, Orlando, United States
 
Developing a Global Dataset for Ground and Space-based Measurements of Lake and Reservoir Water Levels (1176343)
Manabendra Saharia1, Sai Kiran Kuntla1 and Augusto Getirana2, (1)Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India, (2)NASA Goddard Space Flight Center, Greenbelt, United States
 
Harnessing hyperspectral imagery to map surface water presence and subsurface flow capacity in headwater stream networks (1176497)
David Dralle, US Forest Service Davis, Davis, CA, United States, Dana A Lapides, Simon Fraser University, Geography Department, Burnaby, BC, Canada, Daniella Marie Rempe, University of Texas at Austin, Department of Geological Sciences, Jackson School of Geosciences, Austin, TX, United States and William Jesse Hahm, Pacific Institute for Climate Solutions, Vancouver, BC, Canada
 
Remotely Sensed Wetland Storage Changes to Climatic Variability and their Implication on Streamflow Generation (1177870)
Alexis Lucy Lucy Archambault, University of North Dakota, Harold Hamm School of Geology and Geological Engineering, Grand Forks, United States and Taufique H Mahmood, University of North Dakota, Harold Hamm School of Geology and Geological Engineering, Grand Forks, ND, United States
 
Analysis of Remotely Sensed Channel Width Observations Using High-Accuracy Shoreline Tracking on Alaskan Rivers (1179811)
Kylie Wadkowski, Stanford University, Stanford, CA, United States, Michael T Durand, Byrd Polar and Climate Research Center, Columbus, United States, Joachim Moortgat, Ohio State University Main Campus, School of Earth Sciences, Columbus, OH, United States and Bidhyananda Yadav, Ohio State University, Byrd Polar and Climate Research Center, Columbus, United States
 
UAS-borne Hyperspectral Estimation of Chlorophyll-a Content in New England Lakes (1188073)
Franklin Sullivan1, Michael W Palace2, Jennifer Brentrup3, Emily R Arsenault4, Denise Bruesewitz5, Kathryn L Cottingham6, Barbara Cook7, Mark J Ducey8, Holly A Ewing4, Christina Herrick1, Kenneth A Johnson7, Bethel Steele3, Jessica Volan Trout-Haney9, Kathleen C Weathers3 and David A Lutz9, (1)University of New Hampshire, Earth Systems Research Center, Durham, United States, (2)University of New Hampshire, Department of Earth Sciences, Durham, United States, (3)Cary Institute of Ecosystem Studies, Millbrook, NY, United States, (4)Bates College, Program in Environmental Studies, Lewiston, United States, (5)Colby College, Department of Environmental Studies, Waterville, United States, (6)Dartmouth College, Department of Biological Sciences, Hanover, United States, (7)University of New Hampshire, Carsey School of Public Policy, Durham, United States, (8)University of New Hampshire, Department of Natural Resources, Durham, United States, (9)Dartmouth College, Department of Environmental Studies, Hanover, United States
 
Simultaneous remote sensing of river discharge and suspended sediment on the Sagavanirktok River, Alaska. (1188143)
Theodore Langhorst, University of North Carolina at Chapel Hill, Department of Earth, Marine, and Environmental Sciences, Chapel Hill, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, United States, Merritt Harlan, University of Massachusetts Amherst, Amherst, United States, Elisa Friedmann, University of Massachusetts Amherst, Amherst, MA, United States and Colin J Gleason, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States
 
Indigenous and Invasive Aquatic Plants Mapping, using an Aquatic Drone through Underwater Photographs and Machine Learning (1188253)
Steven Poulin1, Bruno Courtemanche2 and Elisabeth Levac2, (1)Bishop's University, Sherbrooke, QC, Canada, (2)Bishop's University, Environment and Geography, Sherbrooke, QC, Canada
 
Cause of Reservoir Storage Changes in India (1196272)
Ashwani Rai, Indian Institute of Technology Gandhinagar, Ahmedabad, 382, India and Vimal Mishra, Indian Institute of Technology Gandhinagar, Department of Civil Engineering, Ahmedabad, India
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