NH026-06
HydroSAR: A Cloud-based SAR Data Analysis Service to Monitor Hydrological Disasters and their Impact on Population and Agriculture
Friday, 11 December 2020: 16:16
Virtual
Franz Josef Meyer1, Andrew Molthan2, Jordan R Bell2, Lori A. Schultz3, Ronan Lucey4, Batuhan Osmanoglu5, Minjeong Jo6, David B McAlpin7, Alex Lewandowski8, Thomas Meyer9 and Brooke Kubby1, (1)University of Alaska Fairbanks, Fairbanks, AK, United States, (2)NASA Marshall Space Flight Center, Huntsville, AL, United States, (3)University of Alabama in Huntsville, Huntsville, AL, United States, (4)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (5)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (6)USRA/NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)University of Alaska Fairbanks Geophysical Institute, Fairbanks, AK, United States, (8)Alaska Satellite Facility, Fairbanks, United States, (9)University of Alaska Fairbanks, Fairbanks, United States
Abstract:
Weather-related hazards are ubiquitous around the world including: 1) hurricane storm surges, 2) rapid snowmelt and heavy rainfall, 3) severe weather leading to flash floods, and 4) seasonal freeze and thaw of rivers that may lead to ice jams. Each of these hazards affects human settlements and has the potential to impact agricultural productivity. In each setting, end-users in disaster management need access to data processing tools helpful in mapping past and current disasters. Analysis of past events supports risk mitigation by understanding what has already occurred and how to alleviate those impacts in the future. Having capabilities to generate the same products in a response setting means that lessons learned from risk analysis will carry forward to event response. Synthetic aperture radar (SAR) data are particularly useful for these activities due to their all-weather 24/7 monitoring capabilities.
In this effort we present HydroSAR, a cloud-based SAR data analysis service for the mapping of meteorological and hydrological disasters as well as their impact on population and agriculture. As part of this project we have developed a series of SAR-based value added products for the monitoring of surface hydrology (image time series, change detection, flood extent, flood depth) and the assessment of impacts on population (flood depth) and agriculture (active agriculture, inundated agriculture, flood duration). We also developed a cloud-based platform for generating these products over affected areas and are working with end-users to integrate derived product into decision-making workflows
The presentation will briefly introduce the SAR-based products that were developed for this effort. We describe the cloud-based production pipeline that was built to automatically generate these products in near-real time over extended regions. The integration of SAR-based information into hazard preparation and response activities is described for a number of recent disasters including the 2019 forest fires in Alaska, 2019 flooding in the U.S. Midwest, the 2020 U.S. severe weather easter outbreak, 2020 tropical storm Christobal, 2020 cyclone Amphan, 2020, Alaska Spring breakup flooding, and the 2020 flood season in Eastern India, Bangladesh, and Nepal.
