H010
Remote Sensing and Modeling of Global Rivers from the Headwaters to the Ocean II Posters

Monday, 7 December 2020: 04:00-20:59
Poster
Primary Convener:  George H. Allen, Texas A&M University College Station, College Station, TX, United States
Conveners:  Peirong Lin, Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States, Xiao Yang, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States and Rodrigo C. D. Paiva, Federal University of Rio Grande do Sul, Institute of Hydraulic Research, Porto Alegre, Brazil
Primary Liaison:  Peirong Lin, Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States
Chairs:  Xiao Yang, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, Rodrigo C. D. Paiva, Byrd Polar Research Center, Columbus, United States, Peirong Lin, Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States and George H. Allen, Texas A&M University, Department of Geography, College Station, TX, United States
OSPA Liaison:  Xiao Yang, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
A SmallSat Mission to Track the Global Movement of Water, Carbon, and Sediment across Landscapes (742968)
Benjamin Jared Gorr1, Daniel Selva1, George H. Allen2, Huilin Gao3 and Helen Reed1, (1)Texas A&M University, Department of Aerospace Engineering, College Station, TX, United States, (2)Texas A&M University, Department of Geography, College Station, TX, United States, (3)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States
 
POSSIBILITY OF HIGH-FREQUENCY OBSERVATION OF INUNDATION AREA BY SMALL SAR SATELLITES CONSTELLATION (679851)
Natsumi Kitajima1, Rie Seto1, Dai Yamazaki2, Wenchao MA3, Shinjiro Kanae4 and Xudong Zhou5, (1)Tokyo Institute of Technology, Tokyo, Japan, (2)The University of Tokyo, Institute of Industrial Sciences, Tokyo, Japan, (3)University of Tokyo, Bunkyo-ku, Japan, (4)Tokyo Institute of Technology, Department of Civil and Environmental Engineering, Tokyo, Japan, (5)University of Tokyo, Institute of Industrial Science, Bunkyo-ku, Japan
 
Density driven confluence mixing pattern identified using high-resolution aerial images at Chicago Sanitary and Ship Canal (773213)
Dongchen Wang and Marcelo H Garcia, University of Illinois at Urbana Champaign, Urbana, IL, United States
 
Sediment Dynamics of the Lower Ganga River: Sediment Budget and ‘Hotspots’ of Siltation using an Integrated Approach of Hydrology and Remote Sensing (677212)
Shobhit Singh and Rajiv Sinha, Indian Institute of Technology Kanpur, Department of Earth Sciences, Kanpur, India
 
Spaceborne River Discharge from a Nonparametric Stochastic Quantile Mapping Function (752374)
Omid Elmi1, Mohammad J. Tourian1, András Bárdossy2 and Nico J Sneeuw1, (1)Institute of Geodesy, University of Stuttgart, Stuttgart, Germany, (2)University of Stuttgart, Department of Hydrology and Geohydrology, Institute for Modelling Hydraulic and Environmental Systems, Stuttgart, Germany
 
Estimating discharge from Landsat based on water occurrence derived rating curves. (704227)
Ryan Riggs1, George H. Allen1, Cedric H David2, Peirong Lin3, Ming Pan4 and Xiao Yang5, (1)Texas A&M University, Department of Geography, College Station, TX, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)University of Texas, Austin, TX, United States, (4)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (5)University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
Remote observations in changing locations: what can 40 years of satellite data tell us about the future of pan-Arctic streamflow? (753838)
Merritt Harlan, University of Massachusetts Amherst, Amherst, MA, United States, Colin J Gleason, University of Massachusetts, Amherst, MA, United States, Dongmei Feng, University of Massachusetts Amherst, Amherst, United States, Konstantinos Andreadis, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States and Peirong Lin, Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States
 
Estimation of Water Surface Temperature in Large Rivers Using Landsat 8 Thermal Infrared Imagery (747796)
Ennis Rios1, George H. Allen2 and Ryan Riggs2, (1)College Station, TX, United States, (2)Texas A&M University, Department of Geography, College Station, TX, United States
 
How can we reasonably compare the water surface area between models & satellites (762354)
Xudong Zhou, University of Tokyo, Institute of Industrial Science, Bunkyo-ku, Japan and Dai Yamazaki, The University of Tokyo, Institute of Industrial Sciences, Tokyo, Japan
 
Simultaneous river width and river topology extraction by remote sensing (769103)
Zifeng Wang1, Jinbao Li1, Yi Lin2, Ying Meng3 and Junguo Liu3, (1)University of Hong Kong, Hong Kong, Hong Kong, (2)College of Environmental and Resource sciences, Zhejiang University, Hangzhou, China, (3)Southern University of Science and Technology, School of Environmental Science &Engineering, Shenzhen, China
 
Delineating valley segments of variable length across a catchment using coarse resolution DEMs (717325)
Sana Khan and Kirstie Fryirs, Macquarie University, Department of Earth and Environmental Sciences, Sydney, NSW, Australia
 
Catchment specific thresholds for fully automated flow accumulation modeling (676046)
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
 
MERIT DEM Performs Better for Hydrodynamic Flood Model in Amazon Basin (727888)
Prakat Modi1, Menaka Revel2, Xudong Zhou2 and Dai Yamazaki2, (1)The University of Tokyo, Department of Civil Engineering, Bunkyo-ku, Japan, (2)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Remote sensing and modeling of water availability in Afghanistan from snow dominated highlands to arid lowlands (708784)
Md Shahriar Pervez1, Amy McNally2, Kimberly Slinski3, Jossy P Jacob3, Augusto Getirana3, Michael E Budde4, James Rowland5 and Harikishan Jayanthi6, (1)USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States, (2)US Agency for International Development, Falls Church, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)Earth Resources Observation Systems Sioux Falls, Sioux Falls, SD, United States, (5)U.S. Geological Survey, Sioux Falls, SD, United States, (6)ASRC Federal Data Solutions /USGS EROS, Sioux Falls, SD, United States
 
Patterns and Causes of Flood Timing Trend (1980–2019) across the Global River Network (763334)
Peirong Lin1, Eric F Wood2, Ming Pan2, Yuan Yang3, Hylke Beck2 and Zhenzhong Zeng4, (1)Princeton University, Civil & Environmental Engineering, Princeton, NJ, United States, (2)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (3)Tsinghua University, Department of Hydraulic Engineering, Beijing, China, (4)Princeton University, Princeton, NJ, United States
 
Is our finger on the pulse? Assessing placement bias of the global river gauge network (678552)
George H. Allen, Texas A&M University College Station, College Station, TX, United States, Julian D Olden, University of Washington, School of Aquatic & Fishery Sciences, Seattle, WA, United States, Corey Krabbenhoft, University at Buffalo, College of Arts and Sciences and RENEW Institute, Buffalo, NY, United States, Peirong Lin, University of Texas, Austin, TX, United States, Margaret Shanafield, Flinders University, Science and Engineering, Bedford Park, SA, Australia, Ken M Fritz, USEPA, Cincinnati, OH, United States, C. Nathan Jones, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, Walter K Dodds, Kansas State University, Manhattan, KS, United States, Catherin Franklin, Texas A&M University College Station, Geography, College Station, TX, United States, Rebecca L Hale, Idaho State University, Biological Sciences, Pocatello, ID, United States, Samuel C Zipper, University of Wisconsin Madison, Madison, WI, United States, Adam S Ward, Indiana University, School of Public and Environmental Affairs, Bloomington, IN, United States, Thibault Datry, INRAE Lyon, Villeurbanne Cedex, France, Hylke Beck, Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, John Christopher Hammond, U.S. Geological Survey, Maryland-Delaware-D.C. Water Science Center, Catonsville, MD, United States, Amy J Burgin, University of Nebraska Lincoln, Lincoln, NE, United States, Sarah Godsey, Idaho State University, Department of Geosciences, Idaho Falls, ID, United States, Ryan Burrows, The University of Melbourne, Burnley Campus, School of Ecosystem and Forest Science, Burnley, Australia, Margaret A Zimmer, Duke University, Durham, NC, United States, Katie H Costigan, University of Louisiana at Lafayette, Lafayette, LA, United States, Meryl Mims, Virginia Tech University, Department of Biological Sciences, Blacksburg, VA, United States, Albert Ruhi, University of California Berkeley, Berkeley, CA, United States, Amanda G. DelVecchia, Flathead Lake Biological Station, Polson, MT, United States and Daniel C Allen, University of Oklahoma Norman Campus, Biology, Norman, OK, United States
 
Investigate the Capability of Distributed Hydrologic Modeling and Remote Sensing in Capturing the Spatiotemporal Dynamics of Small Intermittent Streams (757674)
Shang Gao, University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science (CEES), Norman, OK, United States, Mengye Chen, The University of Oklahoma, Norman, OK, United States, Zhi Li, University of Oklahoma Norman Campus, Norman, OK, United States, Daniel C Allen, University of Oklahoma Norman Campus, Biology, Norman, OK, United States and Yang Hong, School of Civil Engineering and Environmental Sciences, University of Oklahoma, Norman, OK, United States
 
Using Sentinel-2 multispectral imagery to describe wet channel extension in temporary rivers (730564)
Carmela Cavallo, University of Salerno, Salerno, Italy, Maria Nicolina Papa, University of Salerno, Civil Engineerin, Salerno, Italy and Paolo Vezza, Politecnico di Torino, Torino, Italy
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