H43G:
Remote Sensing Applications for Water Resources Management, Including Droughts, Floods, and Associated Water Cycle Extremes III Posters


Submit an Abstract to this Session


Session ID#: 49366

Session Description:
Water resources management can benefit from applications of remote sensing and hydrologic models. These tools can be especially valuable during extreme events and in data-sparse regions. Observational platforms include the GPM, SMAP, Terra, Aqua, Landsat, GRACE, and Sentinel satellites, and other satellite and airborne platforms. They can support the operational water resources management community in responding to climate change, increases in climate variability and the frequency of extreme events.  This session will highlight advances in the use of satellite, airborne and ground-based sensor networks to: measure the quantity/quality of hydrologic resources in the U.S. and internationally; provide information to water managers to improve water resources management; and support risk-based decision making. Topics of interest include (1) extreme events such as floods and droughts; (2) water supply and snow water resource monitoring and forecasting; (3) evapotranspiration, soil moisture, groundwater, and agricultural water management; (4) water quality and (5) global water sustainability.
Primary Convener:  John D Bolten, NASA Goddard Space Flight Center, Greenbelt, United States; Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, United States
Conveners:  Forrest S Melton, NASA Ames Research Center, Moffett Field, CA, United States, Christine M Lee, NASA Jet Propulsion Laboratory, Pasadena, United States and Sushel Unninayar, NASA/GSFC-HSL & Morgan State University-DRED, Greenbelt, MD, United States
Primary Liaison:  John D Bolten, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, United States; NASA Goddard Space Flight Center, Greenbelt, United States
Chairs:  John D Bolten, Hydrological Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt MD, United States and Christine M Lee, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
OSPA Liaison:  Forrest S Melton, NASA Ames Research Center, Moffett Field, CA, United States
Index Terms:

1817 Extreme events [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1880 Water management [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]

Abstracts Submitted to this Session:

The challenges of accurately modeling and measuring snow albedo: two new contributions to improve our understanding (354399)
Edward Bair, University of California, Earth Research Institute, Santa Barbara, CA, United States, Karl Rittger, University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States and Jeff Dozier, University of California Santa Barbara, Santa Barbara, CA, United States
Satellite detection of dry and wet snow conditions for improving snowmelt flood forecasts in the Red River basin of the North (354659)
Ronny Schroeder, University of New Hampshire, Civil and Environmental Engineering, Durham, NH, United States, Simon Kraatz, University of New Hampshire, Civil and Environmental Engineering, Durham, United States, Jennifer M Jacobs, University of New Hampshire, Institute for the Study of Earth, Oceans, and Space; Civil and Environmental Engineering, Durham, United States, Brian Connelly, NOAA Natioal Weather Service, Minneapolis, MN, United States and Michael M Deweese, National Weather Service, Chanhassen, MN, United States
Using NASA Earth Observations to Monitor Snow Cover Extent for Water Resource Management on the Navajo Nation (454157)
Suzanne Goldstein, San Francisco State University, Dept. of Earth and Climate Sciences, San Francisco, CA, United States, Amber Jean Kuss McCullum, BAERI/NASA Ames Research Center, Moffett Field, United States; NASA Ames Research Center, Moffett Field, CA, United States and Carlee McClellan, Navajo Nation Department of Water Resources, Water Management Branch, Fort Defiance, AZ, United States
Spatial and Temporal Variability of Snow Drought Characteristics (426653)
Laurie Huning, University of California Irvine, Civil and Environmental Engineering, Irvine, United States and Amir AghaKouchak, University of California Irvine, Civil and Environmental Engineering, Irvine, CA, United States
Method Development for Remote Sensing of River Flow with Limited Ground-Based Measurements (443969)
Mackenzie L. Martin1, Kathleen May Glancey1 and David M Kahler2, (1)Duquesne University, Center for Environmental Research and Education, Pittsburgh, PA, United States, (2)Duquesne University, Pittsburgh, PA, United States
Understanding the Reservoir Operating Rules in the Nile River Basin using Macroscale Hydrologic Modeling with Satellite Observations (372345)
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
Bayesian estimation of streamflow using satellite data and ground discharge measurements (359928)
Jérôme Le Coz1, Hangmei Chen1, Benjamin Renard2 and Pierre-Olivier Malaterre3, (1)IRSTEA Lyon, Villeurbanne Cedex, France, (2)INRAE, RECOVER, Aix-en-Provence, France, (3)IRSTEA Montpellier, Montpellier, France
Using ICESat-1/-2 and Optical Imageries to Improved Water Storage Quantification in the Ganges-Brahmaputra-Meghna River Basin (431655)
Kuo-Hsin Tseng, National Central University, Kanagawa, Japan, Chung-Yen Kuo, National Cheng Kung University, Tainan City, Taiwan, Min-Hui Lo, National Taiwan University, Department of Atmospheric Sciences, Taipei, Taiwan, C.K. Shum, The Ohio State University, Division of Geodetic Science, School of Earth Sciences, Columbus, United States and Md Mizanur Rahman, Bangladesh Water Development Board, Dhaka, Bangladesh
Towards High-Resolution Lake Bathymetry: an Algorithm tested using Data Collected by the ICESat-2 Airborne Simulator over Lake Mead (370638)
Yao Li1, Huilin Gao1, Michael F Jasinski2, Shuai Zhang1 and Jeremy Stoll3, (1)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (2)NASA Goddard Space Flight Ctr, Greenbelt, United States, (3)Science Systems and Applications, Inc., Lanham, United States
Measuring Surface Water Topography in the Mississippi Delta, Louisiana, Using Airborne Ka-Band Radar Interferometry (374555)
Michael W Denbina, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, Marc Simard, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States and Albert Chen, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Developing cloud-free MODIS images to improve flood modeling (422539)
Hoang Tran1, Phu Nguyen2, Mohammed Ombadi3, Kuo-lin Hsu2, Soroosh Sorooshian2 and Konstantinos Andreadis4, (1)Colorado School of Mines, Department of Geology and Geological Engineering, Golden, United States, (2)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States, (3)University of Michigan Ann Arbor, Climate and Space Science and Engineering, Ann Arbor, United States, (4)University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States
Preparing for Floods in Manila, the Philippines Using a Machine Learning Technique – Making Global Satellite Data Locally Applicable (463967)
Masahiko Haraguchi, Harvard University, Cambridge, MA, United States, Fabio Cian, Universite Venezia, Venice, Italy and Upmanu Lall, Columbia University, Earth and Environmental Engineering, New York, United States
The contribution of multi-sensor optical satellite data to flood detection: the performances of RST-FLOOD in Basilicata region (southern Italy) (373536)
Teodosio Lacava1, Emanuele Ciancia2, Mariapia Faruolo1, Nicola Pergola3, Valeria Satriano2 and Valerio Tramutoli4, (1)CNR Institute of Methodologies for Environmental Analysis, Potenza, Italy, (2)University of Basilicata, Potenza, Italy, (3)IMAA/CNR, Tito Scalo (Pz), Italy, (4)University of Basilicata, School of Engineering, Potenza, Italy
Impact of 2010 super flood on rice crop of the Larkana Division, Pakistan (436818)
Aftab Ahmed, Mehran University of Engineering and Technology, Larkana, Pakistan, Altaf Ali Siyal, Mehran University of Engineering and Technology, U.S.-Pcas-W, Jamshoro, Pakistan and Arjumand Zehra Zaidi, Mehran University of Engineering and Technolgy, U.S.-Pcas-W, Jamshoro, Pakistan
Inundation Extents and Depths over Lower Mekong using Synthetic Aperture Radar Data with Machine Learning Techniques (376752)
Chi-Hung Chang1, Hyongki Lee1, Hanwen Yu1, Du Duong Bui2 and Luong Duc Nguyen3, (1)University of Houston, Department of Civil and Environmental Engineering, Houston, TX, United States, (2)National Center for Water Resources Planning and Investigation, Hanoi, Vietnam, (3)National University of Civil Engineering, Department of Environmental Technology and Management, Hanoi, Vietnam
Deriving Disturbance Indices and Loading Factors Using Remote Sensing Data and Crop Models to Develop Derived Variables for SPARROW Water Quality Models in the Southeast USA (415743)
Maury Gordon Estes Jr1, Ashraf Al-Hamdan2, Walter Lee Ellenburg II3, Africa Ixmucane Flores Anderson2, James Cruise2, Anne Hoos4, Richard Smith5, Mohammad Z. Al-Hamdan6 and William L Crosson6, (1)University of Alabama in Huntsville and NASA Ecological Conservation Program, Huntsville, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States, (3)University of Alabama in Huntsville, NASA-SERVIR, Huntsville, United States, (4)USGS Lower Mississippi-Gulf Water Science Center, Nashville, TN, United States, (5)United States Geological Survey (USGS), Reston, United States, (6)Universities Space Research Association at NASA/MSFC, Huntsville, AL, United States
Assessing Riparian Buffer Zone Health of Pinhook Creek, Madison County, AL, using NASA’s Remotely Sensed Data to Understand Impacts on Water Quality and Quantity (459942)
Catherine Rose Buczek1, Maurice Estes Jr.2 and Robert Griffin2, (1)Ursinus College, Collegeville, PA, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States
Differentiation of Harmful Algal Bloom Signatures in the Indian River Lagoon by Remote Sensing (446217)
Taylor Judice1, Warren Falls2, Edith Widder2, Joseph D. Ortiz1 and Dominic Cristiano3, (1)Kent State University, Department of Geology, Kent, OH, United States, (2)Ocean Research and Conservation Association, Fort Pierce, FL, United States, (3)Kent State University, Department of Biology, Kent, OH, United States
An Open-Source Web Application for Investigating Trends in Global Inland Water (416040)
Margaret Wooten, NASA Goddard Space Flight Center, Biospheric Sciences Laboratory, Greenbelt, United States and Mark Carroll, NASA Goddard Space Flight Center, Data Science Group, Greenbelt, United States
Evaluation of satellite-derived water quality variables using satellite remote sensing and in situ data in San Luis Reservoir (468285)
Christine M Lee, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Nicholas B Tufillaro, Gybe, Portland, United States, Bryan D Downing, USGS California Water Science Center Sacramento, Sacramento, CA, United States, Erin Hestir, University of California Merced, Merced, CA, United States and Lael Wakamatsu, NASA DEVELOP Program - SSAI, Jet Propulsion Laboratory, Pasadena, CA, United States
Partitioning the Optical Signal of Lake Erie Using Satellite-Based Remote Sensing Instruments (446821)
Dulcinea Avouris, Kent State University Kent Campus, Kent, OH, United States, Joseph D. Ortiz, Kent State University, Department of Geology, Kent, OH, United States and John Lekki, NASA Glenn Research Center, Optics and Photonics Branch, Cleveland, OH, United States
High-resolution vegetation drought monitoring in India (385369)
Anukesh Krishnankutty Krishnankutty Ambika, Oak Ridge National Laboratory, Earth Science, Oak Ridge, TN, United States and Mishra Vimal, Indian Institute of Technology Gandhinagar, Department of Civil Engineering, Gandhinagar, India
Satellite data Based Indices to assess the Agricultural Drought severity in South India (361481)
Ravi Prakash Singh, National Remote Sensing center, Hyderabad, India
Analyzing the cycle of Flash Recovery-Flash Drought-Flash Recovery in 2015 over the south-central U.S. using SMAP and NLDAS (409131)
Eric Hunt1, Jason Otkin2 and Yafang Zhong2, (1)Atmospheric and Environmental Research Lexington, Lexington, MA, United States, (2)University of Wisconsin-Madison, CIMSS/SSEC, Madison, United States
Improvements to Drought Estimation Through Assimilation of Remotely-sensed Vegetation Data in the Noah-MP Land-surface model (432487)
David M Mocko, Science Applications International Corporation Washington DC, Washington, DC, United States, Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Christa D Peters-Lidard, NASA GSFC, Greenbelt, United States and Shugong Wang, NASA Goddard Space Flight Center (NASA-GSFC), Greenbelt, MD, United States
Toward Earlier Drought Detection Using Remotely Sensed Precipitation Information and Vegetation Observations from the Reference Environmental Data Record (REDR) Program (446431)
Olivier P Prat, CICS-NC/NCSU, Asheville, NC, United States, Ronald Leeper, Cooperative Institute for Satellite Earth System Studies (CISESS), North Carolina State University, Asheville, United States, Jessica L Matthews, NOAA/NCEI, Asheville, United States, Brian R Nelson, NOAA Asheville, NCEI/CWC, Asheville, NC, United States, Steve Ansari, NOAA National Centers for Environmental Information, Asheville, United States and James Adams, NOAA Asheville, NCEI, Asheville, United States
A PCA-based Objective Drought Indicator (ODI) Blends using Climate and Satellite Datasets to Improve the United States Drought Monitor (USDM) (465824)
Tsegaye Tadesse, University of Nebraska-Lincoln, School of Natural Resources, Lincoln, United States, Yared A Bayissa, University of Nebraska Lincoln, Lincoln, NE, United States, Brian Fuchs, University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, NE, United States, Mark D. Svoboda, University of Nebraska-Lincoln, National Drought Mitigation Center, Lincoln, United States and Brian Wardlow, University of Nebraska-Lincoln, Lincoln, United States
Development of Soil Moisture-Vegetation Stress-based Agricultural Drought Index (SVADI) through Integration of Remotely Sensed Soil Moisture and Vegetation Indices (390074)
Narendra Das1, Meenu Ramadas2 and Rabindra K. Panda2, (1)Michigan State University, Department of Civil and Environmental Engineering, East Lansing, United States, (2)Indian Institute of Technology Bhubaneswar, Department of Civil Engineering, School of Infrastructure, Bhubaneswar, India
Drought Monitoring and Management: A Geospatial Data Mining Approach (438283)
Kuldeep .1, Pradeep Garg2, Rahul Garg2 and Swati Uniyal3, (1)Indian Institute of Technology Roorkee, Roorkee, India, (2)Indian Institute of Technology Roorkee, Civil Engineering, Roorkee, India, (3)Andhra University, Visakhapatnam, India
Evaluating global hydrological droughts using remotely sensed reservoir surface area (380216)
Gang Zhao, Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, United States and Huilin Gao, Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States
A Synthesized Drought Monitoring Index Based on Multi-Sensor Remote Sensing Data (425351)
Qisheng He, Tieqin Zhang and Feng Wei, Hohai University, Nanjing, China
Enhancing the USDA FAS crop forecasting system using SMAP soil moisture observations (422183)
John D Bolten, NASA Goddard Space Flight Center, Greenbelt, United States, Iliana E Mladenova, USDA/ARS BARC-W, Bldg 007, Beltsville, MD, United States, Nazmus Sazib, NASA GSFC, Greenbelt, MD, United States, Wade T Crow, USDA ARS, Hydrology and Remote Sensing Lab, Beltsville, MD, United States and Curt A Reynolds, USDA/FAS, Washington, DC, United States
Evapotranspiration-based Irrigation Scheduling in Cool-Season Vegetables (418626)
Lee Johnson, CSU Monterey Bay, Seaside, CA, United States, Michael Cahn, UC Cooperative Extension, Salinas, United States and Sharon Benzen, USDA Agricultural Research Service, Salinas, CA, United States
Field scale crop evapotranspiration monitoring using satellite-driven modeling (410479)
Mingzhu He, Beijing Normal University, School of National Safety and Emergency Management, Zhuhai, China, John S Kimball, University of Montana, Numerical Terradynamic Simulation Group, Missoula, United States, Yonghong Yi, University of California Los Angeles, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, United States, Qiaozhen Mu, Science Systems and Applications, Inc., Lanham, MD, United States, Marco P Maneta, Associate Professor, University of Montana, Geosciences, Missoula, MT, United States and Alvaro Moreno, Huntsville, AL, United States
Daily field-scale mapping of cropland evapotranspiration using multi-source satellite data for the U.S. Corn Belt (436968)
Chongya Jiang, University of Illinois at Urbana-Champaign, College of Agricultural, Consumer and Environmental Sciences, Urbana, IL, United States, Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, Ming Pan, Center for Western Weather and Water Extremes (CW3E), Scripps Institution of Oceanography, University of California San Diego, La Jolla, United States, Bin Peng, University of Illinois Urbana-Champaign, Urbana, United States and Youngryel Ryu, Seoul National University, Department of Landscape Architecture and Rural Systems Engineering, Seoul, Korea, Republic of (South)
Eco-hydrological modeling using field-based and Earth Observations to assess water use efficiency and support agricultural water resources management (443785)
Jean-Claude Roger1, Pierre C Guillevic2, Inbal Becker-Reshef3, Varaprasad Bandaru4, Alisa Coffin5, Andrew N French6, Jerry Hatfield7, Michael Laurence Humber8, Sergii Skakun4, Belen Franch9, Matthew Hansen3, Brian F Thomas10, Eric Vermote9, Christopher Owen Justice3, Roberto C Izaurralde11, Jan Dempewolf12, Catherine Lilian Nakalembe13, Michelle Cryder14, Charles Anthony Sanchez15, Jaehak Jeong16, Carlos Marcelo Di Bella17, Maria Beget18, Siza Tumbo19, Bruno Meyer20, Clement Adjorlolo20 and Pierre-Louis Frison21, (1)University of Maryland College Park, Department of Geographical Sciences, College Park, MD, United States, (2)Planet Labs PBC, Pasadena, United States, (3)University of Maryland, Department of Geographical Sciences, College Park, United States, (4)University of Maryland, Geographical Sciences, College Park, United States, (5)USDA-Agricultural Research Service, Tifton, GA, United States, (6)USDA-ARS, U.S. Arid-Land Agricultural Research Center, Maricopa, United States, (7)USDA-ARS, National Laboratory for Agriculture and the Environment, Ames, IA, United States, (8)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (9)NASA Goddard Space Flight Center, Terrestrial Information Systems Laboratory, Greenbelt, MD, United States, (10)University of Pittsburgh, Pittsburgh, PA, United States, (11)University of Maryland College Park, College Park, MD, United States, (12)University of Maryland, College Park, MD, United States, (13)UMD, College Park, United States, (14)USDA ARS, Pendleton, United States, (15)University of Arizona, Department of Environmental Science, Tucson, AZ, United States, (16)Texas A&M University College Station, College Station, United States, (17)INTA, Instituto de Clima y Agua, Buenos Aires, Argentina, (18)Argentina National Agricultural Technology Institute, Buenos Aires, Argentina, (19)Sokoine University of Agriculture, Morogoro, Tanzania, (20)South African National Space Agency, Hermanus, South Africa, (21)University Paris-Est Créteil Val de Marne, Créteil Cedex, France
Integrating operational satellite-based remote sensing products into the calibration of hydro-economic models to simulate agricultural water use at a regional scale (439965)
Xinde Ji1, Kelly M Cobourn1, John Kimball2 and Marco P Maneta3, (1)Virginia Polytechnic Institute and State University, Blacksburg, United States, (2)University of Montana, Numerical Terradynamic Simulation Group, Missoula, United States, (3)Associate Professor, University of Montana, Geosciences, Missoula, MT, United States

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