H100
Multi-source Remote Sensing of Rivers, Lakes, Reservoirs and Wetlands

Session ID#: 85504

Session Description:
Surface water processes play an essential role in Earth systems. However, these processes are not fully understood at regional to global scales. Optical and microwave satellite remote sensing offers the potential to address knowledge gaps in surface water entities, including rivers, lakes, reservoirs and wetlands. Multi-source 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 multi-source remotely sensed data to study surface water processes (e.g., river discharge, lake volume variation, wetland inundation), and support the development of novel applications (e.g., new algorithms/datasets, integration with models). 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.

Co-Sponsor(s):
  • WCRP: World Climate Research Programme -
Index Terms:

1855 Remote sensing [HYDROLOGY]
1856 River channels [HYDROLOGY]
1857 Reservoirs (surface) [HYDROLOGY]
1928 GIS science [INFORMATICS]

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, TX, United States, Peirong Lin, Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States and Ethan J Shavers, United States Geological Survey, Rolla, MO, United States
Primary Liaison:  Jérôme Benveniste, European Space Agency (ESA-ESRIN), Earth Observation Programmes, Frascati, Italy
 
A multi-mission satellite altimetry water surface elevation monitoring network in the Zambezi (487893)
Cécile M M Kittel1, Simbi Hatchard2, Jeffrey C Neal2, Paul D Bates3 and Peter Bauer-Gottwein1, (1)Technical University of Denmark, Department of Environmental Engineering, Kgs. Lyngby, Denmark, (2)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (3)University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom
 
Estimating River Sediment Discharge from Landsat Imagery (489302)
Jonathan Flores1, Joan Q Wu2, Claudio Stockle1 and Xiao Yang3, (1)Washington State University, Pullman, WA, United States, (2)Washington State University, Puyallup, WA, United States, (3)University of North Carolina at Chapel Hill, Chapel Hill, United States
 
Snowpack influence on the seasonal variability in local reservoirs over a Northern Californian savanna landscape. (490270)
Ana Andreu1, Siyan Ma2, Joseph G Verfaillie3, Dennis D Baldocchi3 and María P. González-Dugo4, (1)University of California Berkeley, Berkeley, United States, (2)US Berkeley, Berkeley, CA, United States, (3)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, CA, United States, (4)IFAPA, Natural resources and ecological agriculture, Córdoba, Spain
 
Deriving high-resolution bathymetry for global reservoirs from multi-source satellite imagery and altimetry (490853)
Yao Li1, Huilin Gao1, Gang Zhao1 and Kuo-Hsin Tseng2, (1)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States, (2)National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan
 
Inversion of PM2.5 concentration in Beijing based on satellite remote sensing and meteorological reanalysis data (493573)
Qi Shao, Beijing, Beijing, China and Jing Li, Beijing Normal University, Beijing, China
 
River Gauging with SMAP, SMOS, AMSR-2, and Jason-2 Satellite Data (493793)
Son V Nghiem, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Zsofia Kugler, Budapest University of Technology and Economics, Budapest, Hungary and G Robert Brakenridge, CSDMS Facility, INSTAAR, Boulder, CO, United States
 
Fluvial geomorphometry of two large Arctic river networks mapped from Sentinel-2 satellite imagery and high-resolution ArcticDEM data (496533)
Xin Lu, Kang Yang and Yao Lu, Nanjing University, School of Geography and Ocean Science, Nanjing, China
 
New algorithm for the generation of global CYGNSS-based watermasks detects short-term flooding and lake dry-out (497386)
Cynthia Gerlein-Safdi, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Christopher S Ruf, University of Michigan Ann Arbor, Climate and Space, Ann Arbor, MI, United States
 
Multi-source analysis of river networks (Invited) (499765)
Paola Passalacqua, University of Texas at Austin, Dept. of Civil, Architectural, and Environmental Engineering, Austin, TX, United States
 
Wetland monitoring in high northern latitudes for carbon and habitat assessment using synthetic aperture radar (502617)
Nancy H F French, Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, Laura L Bourgeau-Chavez, Michigan Technological University, MI, USA, Michigan Tech Research Institute, Ann Arbor, MI, United States and Bruce Chapman, Jet Propulsion Laboratory, Pasadena, United States
 
Half-century lake reclamation changes in the Yangtze Plain, China (504063)
Lian Feng, Southern University of Science and Technology of China, School of Environmental Science and Engineering, Shenzhen, China and Xuejiao Hou Dr., Wuhan University, Wuhan, China
 
Discharge estimation in ungauged basins in the Tibetan Plateau (509168)
Qi Huang, Di Long, Zhongying Han, Xingdong Li and Pengfei Han, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
 
A partial polarimetric decomposition-based method for delineating wetlands/inundation under vegetation (510196)
Xinyi Shen1, Qing Yang2,3, Emmanouil N Anagnostou1, Albert Kettner4, John W. Jones5 and Guy Schumann6, (1)University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States, (2)University of Connecticut, Civil and Environmental Engineering, Storrs, United States, (3)Guangxi University, College of Civil Engineering and Architectrure, Nanning, China, (4)University of Colorado, Boulder, CO, United States, (5)US Geological Survey, Hydrologic Remote Sensing Branch, Reston, VA, United States, (6)Remote Sensing Solutions, Pasadena, United States
 
A new method to estimate inland water body shoreline bathymetry (512694)
Solomon Vimal, University of California Los Angeles, Geography, Los Angeles, CA, United States, Laurence C Smith, Brown University, Providence, United States and Dennis P Lettenmaier, UCLA, Department of Geography, Los Angeles, CA, United States
 
Bayesian estimation of a parsimonious wetland hydrology model with remote sensing data (514925)
Christopher Krapu, Duke University, Department of Civil and Environmental Engineering, Durham, NC, United States, Mark E Borsuk, Duke University, Civil and Environmental Engineering, Durham, NC, United States and Mukesh Kumar, University of Alabama, Tuscaloosa, AL, United States
 
River Discharge Estimation in Ungauged Basins Using Multi-Missions Variational Data Assimilation (515188)
Hind Oubanas1, Igor Gejadze1, Pierre-Olivier Malaterre1, Alessio Domeneghetti2, Mohammad J. Tourian3 and Michael T Durand4, (1)IRSTEA Montpellier, Montpellier, France, (2)University of Bologna, Bologna, Italy, (3)Institute of Geodesy, Stuttgart, Germany, (4)The Ohio State University, School of Earth Science and Byrd Polar and Climate Research Center, Columbus, OH, United States
 
Assimilation of SWOT discharge into CTRIP-12D over the Ebro Basin (515971)
Simon Munier1, Aaron anthony Boone2, Simon Saysset1, Maxime Lesaffre1, Sylvain Biancamaria3 and Patrick Le Moigne4, (1)CNRM UMR 3589, Météo-France/CNRS, Toulouse, France, (2)CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France, (3)OMP/LEGOS, Toulouse, France, (4)CNRM-GAME, Toulouse Cedex 01, France
 
Multi-source Remote Sensing of Arctic-Boreal Surface Water (Invited) (521480)
Laurence C Smith1, Jessica V. Fayne2, Ethan D. Kyzivat1, Sarah W Cooley1, Johnny Ryan1, Lincoln H Pitcher3, Tamlin Pavelsky4, Colin J Gleason5, Alain Pietroniro6, David E Butman7, Merritt Harlan8, Theodore Langhorst4, Wayana Dolan9, Simon Topp4 and Matthew G Cooper10, (1)Brown University, Providence, RI, United States, (2)University of California Los Angeles, Department of Geography, Los Angeles, CA, United States, (3)University of California Los Angeles, Los Angeles, CA, United States, (4)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, (5)University of Massachusetts, Amherst, MA, United States, (6)Environment and Climate Change Canada, Saskatoon, SK, Canada, (7)Yale University, Hamden, CT, United States, (8)UMass-Amherst, Amherst, United States, (9)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (10)University of California, Los Angeles, Geography, Los Angeles, CA, United States
 
Dissolved organic carbon dynamics at tidal wetlands-estuary interface: Observations from Landsat-8/OLI and Sentinel-2 MSI (532798)
Fang Cao, East China Normal University, State Key Laboratory of Estuarine and Coastal Research, Shanghai, China, Maria Tzortziou, CUNY City College, NASA Goddard Space Flight Center, New York, NY, United States, Blake Clark, NASA Goddard Space Flight Center & USRA, Greenbelt, MD, United States and Raleigh R Hood, University of Maryland Center for Environmental Science Horn Point Laboratory, Cambridge, MD, United States
 
Decadal Water Variability of Lakes in The Tibetan Plateau Estimated by Multi-Satellite Data (537112)
Wei-Han Ma, National Central University, Dept. of Civil Engineering, Taoyuan, Taiwan and Kuo-Hsin Tseng, National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan
 
Wetland Inventory of Canada using Satellite Earth Observation Data and Google Earth Engine Cloud (537408)
Bahram Salehi, SUNY College of Environmental Science and Forestry, Syracuse, NY, United States, Masoud Mahdianpari, Memorial University of Newfoundland, C-CORE and Electrical Engineering, St John's, NL, Canada, Fariba Mohammadimanesh, Memorial University of Newfoundland, St John's, NL, Canada and Brian Brisco, Canada Centre for Remote Sensing, Ottawa, Canada
 
Spatiotemporal dynamics of suspended particulate matter in the Yellow River Estuary during the past two decades based on Landsat, Sentinel-2 data and GOCI data (538027)
Yinghai Ke1, Peng Li2, Lin Zhu2, Xiaojuan Li2, Jing Zhang3 and Demin Zhou2, (1)Capital Nornal University, Beijing, China, (2)Capital Normal University, Beijing, China, (3)CNU Capital Nornal University, College of Resources Environment and Tourism, Beijing, China
 
Multi-source Dynamic Surface Water Extent (DSWE) Model Development (538685)
John W. Jones, US Geological Survey, Hydrologic Remote Sensing Branch, Reston, VA, United States
 
Constraining Remotely-Sensed River Discharge Estimation Using Reach-Scale Geomorphology (544078)
Craig Byron Brinkerhoff1, Colin J Gleason1, Peirong Lin2 and Konstantinos Andreadis1, (1)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, (2)Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States
 
Enhancing river discharge forecasting in the Niagara River: An integrated approach to utilizing multi-source remote sensing data for bathymetry maps (548191)
Christine Brown1, Andrew Gronewold2, Tim J Calappi3, Shannon Brines1 and Katherine Ann Labuhn3, (1)University of Michigan Ann Arbor, School for Environment and Sustainability, Ann Arbor, MI, United States, (2)University of Michigan Ann Arbor, Ann Arbor, United States, (3)US Army Corps of Engineers Detroit, Hydraulic Engineering Branch, Detroit, MI, United States
 
On the performance of involving all meaningful sub-waveforms of radar altimeters in the retracking process to monitor inland water bodies (548501)
Shirzad Roohi, EUMETSAT, Darmstadt, Germany and Doug Battles, He Space Operations, Darmstadt, Germany
 
Characterizing Hydraulic Controls on River Channel Storage with Multi-Source Remote Sensing (551333)
Stephen Paul Coss, Ohio State University Main Campus, Columbus, OH, United States, Michael T Durand, The Ohio State University, School of Earth Science and Byrd Polar and Climate Research Center, Columbus, OH, United States, C.K. Shum, The Ohio State University, Division of Geodetic Science, School of Earth Sciences, Columbus, OH, United States, Xiao Yang, University of North Carolina at Chapel Hill, Chapel Hill, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States and Augusto Getirana, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Seasonal variations in global river and stream inundation extent (554126)
George Henry Allen1, Xiao Yang2, Peirong Lin3, Ming Pan4, Joel Holliman5, Dai Yamazaki6, Shaoda Liu7 and Peter A Raymond7, (1)Texas A&M University College Station, College Station, TX, United States, (2)University of North Carolina at Chapel Hill, Chapel Hill, United States, (3)University of Texas, Austin, TX, United States, (4)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (5)Texas A&M University, College Station, United States, (6)The University of Tokyo, Institute of Industrial Sciences, Tokyo, Japan, (7)Yale University, New Haven, CT, United States
 
Alaskan Hydrographic Feature Extraction using IfSAR and Landsat (554333)
Ethan J Shavers, United States Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, United States and Lawrence Stanislawski, United States Geological Survey, Rolla, MO, United States
 
Towards Operational Remote Sensing of Nearshore Water Quality, Lake Tahoe, USA (558223)
Christopher Pearson1, Jason Kuchnicki2, Charles Morton3, Justin L Huntington1 and Nima Pahlevan4, (1)Desert Research Institute, Division of Hydrologic Sciences, Reno, NV, United States, (2)Nevada Division of Environmental Protection, Carson City, NV, United States, (3)Desert Research Institute, Reno, NV, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Investigating the Surface Properties and Evolution of a Desert Playa Using Optical and Radar Satellite Imagery Products (569469)
Iyasu Gebrezgabher Eibedingil, University of Texas at El Paso, Environmental Science and Engineering, El Paso, TX, United States, Daniel Tong, George Mason University Foundation Inc., Columbia, MD, United States and Thomas E Gill, University of Texas at El Paso, Geological Sciences / Environmental Science and Engineering Program, El Paso, TX, United States
 
Estimation of river bankfull depth at a large scale: Combining satellite altimetry and river routing model using data assimilation (570679)
Takuto Shiozawa, University of Tokyo, Civil Engineering, Tokyo, Japan, Dai Yamazaki, The University of Tokyo, Institute of Industrial Sciences, Tokyo, Japan, Sylvain Biancamaria, OMP/LEGOS, Toulouse, France and Stéphane Calmant, Institut de Recherche pour le Développement, Toulouse, France
 
Detection of inundated vegetation using ALOS-1 L-Band over 2006-2010: Testing over conterminous USA (582799)
Etienne Fluet-Chouinard1, Gavin McNicol2, Sara Knox3 and Robert B Jackson1, (1)Stanford University, Stanford, CA, United States, (2)Lawrence Livermore National Laboratory, Livermore, CA, United States, (3)University of British Columbia, Vancouver, AB, Canada
 
Assessing ICESat altimetry accuracy for water level measurements (582882)
Yuyue Xu, Nanjing University, Nanjing, China and Saihua Gu, Nanjing Unversity, School of Geography and Ocean Science, Nanjing, China
 
Spatial and Temporal Patterns in Northern Hemisphere Lake Ice Phenology, 2000-2018 (583036)
Shuai Zhang, University of North Carolina at Chapel Hill, Department of Geological Sciences, Chapel Hill, NC, United States and Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
Benthic Vegetation Monitoring in the Laurentian Great Lakes through Fusion of Landsat 8 OLI and Sentinel-2 MSI Time Series (586172)
Amanda Grimm, Robert A Shuchman, Michael Sayers and Reid Sawtell, Michigan Tech Research Inst, Ann Arbor, MI, United States
 
Data-driven prediction of global river width (590169)
Peirong Lin1, Ming Pan2, Renato P. M. Frasson3, George Henry Allen4, Zhenzhong Zeng5 and Eric F Wood2, (1)Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)Ohio State University Main Campus, Byrd Polar and Climate Research Center, Columbus, OH, United States, (4)Texas A&M University, Department of Geography, College Station, TX, United States, (5)Princeton University, Princeton, NJ, United States
 
An adaptive multi-scale region growing method for river body extraction using Sentinel-2 images (590197)
Song Jin, Nanjing University, School of geography and ocean science, Nanjing, China, Yongxue Liu, Nanjing University, school of geography and ocean science, Nanjing, China and Huan MI, Tongji University, Shanghai, China
 
Studying Global Lakes Surface Temperature Variability at the Basin Level-Scale Using Remote Sensing Observations (593904)
Abdou Rachid Bah1, Ronaldo Carhuaricra2, Patty Arunyavikul3, Shaun Pollard3, Ryan Chen1, Emmanuel Gel3, Hamid Norouzi4 and Reginald Blake1, (1)CUNY New York City College of Technology, Brooklyn, NY, United States, (2)New York City College of Technology, Brooklyn, United States, (3)CUNY New York City College of Technology, Brooklyn, United States, (4)New York City College of Technology, CUNY, Brooklyn, NY, United States
 
Water dynamics of large controlled lakes in a global flood model: the case of Lake Victoria (597494)
Augusto Getirana, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States, Hahn Chul Jung, NASA Goddard Space Flight Center, The Office of Applied Sciences, Greenbelt, MD, United States and Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Multi-Source Coastal Observation: InSAR, Lidar, and In-Situ Water Level Integration for Hydrodynamic Model Calibration (598377)
Kyle A Wright1, Paola Passalacqua1, Marc Simard2 and Cathleen Jones3, (1)University of Texas at Austin, Dept. of Civil, Architectural, and Environmental Engineering, Austin, TX, United States, (2)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, United States
 
A machine learning approach to derive chlorophyll-a with Landsat-8 measurements over turbid lakes (602704)
Zhigang Cao, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China, Ronghua Ma, Nanjing Institute Geography and Limnology, Chinese Academy of Science, Nanjing, China and Hongtao Duan, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, Jiangsu, China
 
Classifying and characterizing Arctic and sub-Arctic wetlands using Sentinel-1 and Sentinel-2 data in support of a National Wetlands Inventory dataset for Alaska (603261)
Ben DeVries1,2, Chengquan Huang2, Megan Lang3 and Zhenhua Zou2, (1)University of Guelph, Geography, Environment and Geomatics, Guelph, Canada, (2)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (3)U.S. Fish and Wildlife Service, National Wetlands Inventory, Falls Church, VA, United States
 
Retrieval of Wind Speed Measurements Over the Great Lakes Using Satellite Radar Altimetry (604764)
Yuanyuan Jia, Ohio State University Main Campus, Columbus, OH, United States, Philip Chu, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, C.K. Shum, The Ohio State University, Division of Geodetic Science, School of Earth Sciences, Columbus, OH, United States and Jeonghwan Park, NOAA/NESDIS/STAR, College Park, MD, United States
 
Pan-tropical 30m map of wetlands (607518)
Amy Hudson Pickens1, Matthew Hansen2 and Patrick Kuburhanwa Lola Amani1, (1)University of Maryland College Park, College Park, MD, United States, (2)University of Maryland, College Park, MD, United States
 
Assessing the utility of using current generation high resolution satellites (Sentinel 2 and Landsat 8) to monitor large water supply Dam systems in South Africa. (609541)
K. Adem Ali, College of Charleston, Department of Geology and Environmental Geosciences, Charleston, SC, United States, Elhadi Adam, University of Witwatersrand, Johannesburg, South Africa, Tamiru Abiye, University of Witwatersrand, Geology, Wits, South Africa, Obaid Altaib, University of Witwatersrand, Wits, South Africa and Mohammed Ahmed, Agriculture research Council - SG, Pretoria, South Africa
 
Investigating the Changes in Bathymetry and Water Level-Area Relationship of the Lake Urmia using Satellite Imagery (613439)
Yasmin Ghadyani1, Mohammad Danesh-Yazdi1 and Massoud Tajrishy2, (1)Sharif University of Technology, Department of Civil Engineering, Tehran, Iran, (2)Sharif University of Technology, Department of Civil Engineering, Remote Sensing Research Center, Tehran, Iran
 
Dynamics of Bright Surface Waters in the Sahel. (613906)
Laurent Kergoat1, Grippa Manuela2, Elodie Robert1, Laetitia Gal3, Amadou Abdourahmane Toure4, Amelie Picot5, Bruno Lartiges1 and Guillaume Morin1, (1)GET Géosciences Environnement Toulouse, Toulouse, France, (2)GET Géosciences Environnement Toulouse, toulouse, France, (3)CNRS, Paris Cedex 16, France, (4)Niamey University, Niamey, Niger, (5)GET Geosciences Environnement Toulouse, Toulouse, France
 
Application of Neural Networks to Map Hydrography and Improve Drainage Models Derived from Lidar (615128)
Lawrence Stanislawski, United States Geological Survey, Rolla, MO, United States, Ethan J Shavers, United States Geological Survey, Center of Excellence for Geospatial Information Science, Rolla, MO, United States and Evan B Moak, US Geological Survey, Rolla, MO, United States
 
Towards time-continuous long-term monitoring of global lakes and reservoirs: a novel algorithm for improving temporal frequency of lake area time series (617277)
Fangfang Yao, Kansas State University, Department of Geography, Manhattan, United States, Jida Wang, Kansas State University, Manhattan, KS, United States, Chao Wang, University of Puerto Rico Rio Piedras Campus, Department of Environmental Sciences, San Juan, United States and Jean-François Crétaux, Centre National d'Études Spatiales (CNES), Laboratoire d'Études en Géophysique et Océanographie Spatiales (LEGOS), Toulouse, France
 
High spatial resolution 2D wetland surface water flow modeling in the Everglades, Florida, constrained by Interferometric SAR observations (621680)
Heming Liao1, Reinaldo F Garcia1,2 and Shimon Wdowinski1, (1)Florida International University, Earth & Environment Department, Miami, FL, United States, (2)Hydronia, LLC, Miami, DC, United States
 
A Multi-Sensor Approach to Quantifying Effects of Global Change and Land Use Legacy at the Land-Water Interface Across the Great Lakes Basin (627088)
Michael Battaglia, Michigan Technolgical University, Michigan Tech Research Institute, Ann Arbor, MI, United States, Andrew Poley, Michigan Technological University, Michigan Tech Research Insititute, Ann Arbor, MI, United States, Laura L Bourgeau-Chavez, Michigan Technological University, MI, USA, Michigan Tech Research Institute, Ann Arbor, MI, United States and Mary Ellen Miller, Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, MI, United States
 
Comparison of water quality algorithms using satellite optical data for Korea inland water during algal blooms (630024)
Boram Lee1, Sang-Wan Kim1, Yoon-Kyung Lee2 and Dongjun Lee2, (1)Sejong University, Geoinformation Engineering, Seoul, South Korea, (2)Sejong University, Seoul, South Korea
 
Re-Evaluating the Operating Rule of High Aswan Dam under the Combined Impacts of Transboundary dams and Cropping Patterns: A Satellite-based Approach (630329)
Hisham Eldardiry, University of Washington, Seattle Campus, Department of Civil and Environmental Engineering, Seattle, WA, United States and Faisal Hossain, University of Washington, Seattle, WA, USA, Seattle, United States
 
Assimilating remote sensing water presence for accurate and dynamic river network extraction (632743)
Zifeng Wang1, Jinbao Li1 and Junguo Liu2, (1)University of Hong Kong, Hong Kong, China, (2)Southern University of Science and Technology, Shenzhen, China
 
Dynamic Analysis of River Width and Lake Area Index (RWLAI): A Novel Standardized Index of Hydrological Drought (633015)
Xi Chen1, Xinyi Shen2, Kang He3, Zengchao Hao4, Yaokui Cui5 and Yang Hong1, (1)Peking University, Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Beijing, China, (2)University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States, (3)University of Connecticut, College of Civil and Environmental Engineering, Storrs, United States, (4)Beijing Normal University, Beijing, China, (5)Institute of RS and GIS, Penking University, Beijing, China
See more of: Hydrology
<< Previous Session Proposal | Next Session Proposal >>