H062
Human Footprint from Space: Using Remote Sensing to Monitor Anthropogenic Impacts on the Hydrologic Cycle
Session ID#: 160784
Session Description:
The Earth's land surface is characterized by natural heterogeneity and human modifications, both of which are challenging to represent in land surface and hydrologic models at the regional to global scale. Anthropogenic processes such as irrigation, groundwater pumping, and reservoir management are especially poorly resolved by models. Satellite remote sensing monitors the hydrological cycle in its entirety and is often the most practical and effective method to constrain human impacts on the land surface across large scales. This session solicits innovative contributions on: (1) remote sensing approaches focused on capturing the human footprint on the hydrologic cycle, and (2) quantifying the impact of anthropogenic processes through modeling and remote sensing of the hydrologic cycle. To enable broader applications of remote sensing and modeling capabilities, use of open and accessible science paradigms is critical, and thus efforts that utilize open science tools, shared resources, and interoperable data and models are encouraged.
Co-Sponsor(s):
Index Terms:
1803 Anthropogenic effects [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1910 Data assimilation, integration and fusion [INFORMATICS]
Primary Convener: Shahryar Khalique Ahmad, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Conveners: Timothy M Lahmers, University of Arizona, Tucson, AZ, United States, Sarah W Cooley, University of Oregon, Eugene, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, United States and Sujay V Kumar, NASA Goddard Space Flight Center, Greenbelt, United States
Human influence on global surface water observed by satellites (Invited) (1055778)
Huilin Gao1, Gang Zhao2, Yao Li1, George H. Allen3, Liming Zhou4 and Deep Shah1, (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)Virginia Polytechnic Institute and State University, Department of Geosciences, Blacksburg, United States, (4)University at Albany, State University of New York, Department of Atmospheric and Environmental Sciences, Albany, United States
Evaporative Water Loss of 1.42 Million Global Lakes (1076173)
Gang Zhao1, Yao Li2, Liming Zhou3 and Huilin Gao2, (1)Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, United States, (2)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, United States, (3)University at Albany, State University of New York, Department of Atmospheric and Environmental Sciences, Albany, United States
Remote Sensing Applications for Assessment of Seepage from Artificial Reservoir: Case Studies from the Nile Basin, Africa (1095517)
Mohamed Sultan, Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, MI, United States, Karem Abdelmohsen, Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, United States and Himanshu Save, Center for Space Research, University of Texas at Austin, Austin, United States
Landsat Based Analysis of Anthropogenic Land Cover Change and Implied Hydrologic Impacts in Bharatpur Metropolitan City, Nepal (1098964)
Hari P Kandel, Lake Superior State University Sault Ste Marie, School of Natural Resources and Environment, Sault Ste Marie, United States, Suraj Shah, Khwopa College of Engineering, Civil, Kathmandu, Nepal, Purushottam Adhikari, Tribhuvan University, Birendra Multiple Campus, Geology, Bharatpur, Nepal and Niraj Singh Thakuri, Tribhuvan University, Birendra Multiple Campus, Geology, Bharatpur, Chitwan, Nepal
Estimating Irrigation Schedule by Integrating In Situ and Remote Sensing Data Using Deep Learning (1111253)
Shiqi Wei1, Makesh Srinivasan2, Ruijie Zeng3, Guo-Yue Niu4 and Tianfang Xu3, (1)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States, (2)Vellore Institute of Technology, Chennai, School of Computer Science and Engineering (SCOPE), Chennai, India, (3)Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, United States, (4)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States
Hydrogeodesy: A technological platform to evaluate the status of global water resources and stability of the Earth system, and to answer unsolved hydrological questions (Invited) (1146501)
Fernando Jaramillo, Stockholm University, Department of Physical Geography and Baltic Sea Centre, Stockholm, Sweden, Shimon Wdowinski, Florida International University, Miami, United States, Fabrice Papa, LEGOS, IRD, Toulouse, Toulouse, France, Jida Wang, Kansas State University, Geography and Geospatial Sciences, Manhattan, KS, United States, Jay Famiglietti, University of Saskatchewan, Global Institute for Water Security, Saskatoon, Canada, Hilary R Martens, California Institute of Technology, Pasadena, United States and Lan Wang-Erlandsson, RIHN Research Institute for Humanity and Nature, Kyoto, Japan
Two decades of global water cycle variability – non-stationarity assessed by land data assimilation (1156478)
Wanshu Nie1, Sujay V Kumar2, Augusto Getirana2, Melissa Wrzesien3, Kim Locke4, Bryant D Loomis5, Shahryar Khalique Ahmad6 and Matthew Rodell7, (1)Johns Hopkins University, Baltimore, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)Ohio State University Main Campus, Columbus, NC, United States, (4)University of Maryland College Park, ESSIC, College Park, MD, United States, (5)NASA Goddard Space Flight Center, Geodesy and Geophysics Laboratory, Greenbelt, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)NASA GSFC HSL, Greenbelt, United States
Analysis of MODIS Satellite Imagery for Major California Wildfires and Their Impacts on Surface Energy and Water Cycle in the Earth System Modeling Perspective (1174790)
Jinwoong Yoo, University of Maryland College Park, College Park, MD, United States, Joseph A Santanello Jr, Hydrological Sciences Laboratory, NASA/GSFC, Greenbelt, MD, United States, Zhining Tao, NASA GSFC Code 614, Greenbelt, MD, United States, Mian Chin, NASA Goddard Space Flight Center, Greenbelt, United States, Jainn J Shi, NASA Goddard Space Flight Center, Code 612, Greenbelt, MD, United States and Scott A Braun, NASA/GSFC, Greenbelt, MD, United States
