NH026
Use of satellite remote sensing data for disaster management:  perspectives from disaster management practitioners and case studies

Session ID#: 160952

Session Description:
Satellite remote sensing data has become a critical tool for all phases of disaster management. For example, satellite data can provide information on where and how frequently disasters have happened in the past to inform pre-disaster mitigation efforts. In some cases models using satellite data inputs can help communities prepare for an imminent disaster. Images and maps derived from satellite data can inform disaster managers on where a disaster’s impacts may be most severe and also where safe areas are for conducting operations during the response phase. Post disaster images and maps derived from satellite data can help identify areas in need of further emergency response, repairs, and new investment.  For many years now, disaster managers have had access to medium resolution data products from sensor and satellites such as NASA MODIS and NASA/USGS Landsat, however more recently, increased resolution data products have become available through use of data from the commercial sector. Numerous services such as the Emergency Management Service provided by the European Union’s Copernicus Program and the United Nation’s UNOSAT Rapid Mapping Service provide satellite data products in support of disaster management efforts. This session invites presentations on the successes, challenges, and gaps in meeting the needs of the disaster management sector for satellite data products, and case studies on the use of satellite data products for disaster management activities.
Index Terms:

4313 Extreme events [NATURAL HAZARDS]
4324 Spatial decision support systems [NATURAL HAZARDS]
4335 Disaster management [NATURAL HAZARDS]
4352 Interaction between science and disaster management authorities [NATURAL HAZARDS]

Primary Convener:  Frederick S Policelli, NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
Conveners:  Beth Tellman, University of Arizona, School of Geography, Development and Environment, Tucson, AZ, United States, Albert Kettner, University of Colorado Boulder, INSTAAR, Boulder, CO, United States and Shanna N. McClain, NASA Headquarters, Applied Sciences, Washington, DC, United States
 
Assessing Hazards to Archaeological World Heritage in the Makhul Area (Iraq) Utilizing Free Tools and Datasets (1044569)
Pouria Marzban1,2, Simone Mühl3, Tobias Fischer1, Elvira Iacono1, Mohammadreza Jamalreyhani2, Hasanain Jasim Mohammed4 and Bernhard Fritsch1, (1)German Archaeological Institute (DAI), Scientific Computing Unit, Central Research Services, Berlin, Germany, (2)Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Section 2.1, Physics of Earthquakes and Volcanoes, Potsdam, Germany, (3)German Archaeological Institute (DAI), Orient Department, Berlin, Germany, (4)Iraqi Meteorological Organization and Seismology, Baghdad, Iraq
 
Hurricane and Tornado Damage Assessment via Satellite Remote Sensing for the Southeastern USA 2020-2022 Atlantic Hurricane Seasons (1060607)
Gigi Pavur, University of Virginia, Charlottesville, VA, United States, Ujjwal Narayan, BlackSky, Herndon, United States and Venkataraman (Venkat) Lakshmi, University of Virginia, Engineering Systems and Environment, Charlottesville, United States
 
Decentralized, nation-wide, high-frequency war damage mapping using InSAR time series data (1066766)
Corey Scher, City University of New York Graduate Center, Earth and Environmental Science, New York, NY, United States and Jamon Van Den Hoek, NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Flood impact assessment with high-quality nighttime light remote sensing data (1070441)
Yang HU1, Xudong Zhou2 and Dai Yamazaki2, (1)The University of Tokyo, Department of Civil Engineering, Tokyo, Japan, (2)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
 
Multi-source remote sensing characterization of the lethal 2021 Zhengzhou floods in China (1086324)
Penghui Wu and Xie Hu, College of Urban and Environmental Sciences, Peking University, Beijing, China
 
Disaster Monitoring through NASA’s Black Marble Nighttime Lights Product Suite (1092374)
Ranjay Man Shrestha1, Eleanor C Stokes2, Zhuosen Wang1, Virginia L. Kalb1, Srija Chakraborty2, Andrew Molthan3, Jordan R Bell3 and Lori A Schultz4, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Universities Space Research Association, Columbia, MD, United States, (3)NASA Marshall Space Flight Center, Huntsville, AL, United States, (4)University of Alabama in Huntsville, Huntsville, AL, United States
 
Spaceborne Mapping of Fire Retardant Drops Using Machine Learning Techniques (1093417)
Troy Saltiel, Pacific Northwest National Laboratory, Earth Systems Science Division, Richland, WA, United States and Jerry Tagestad, Pacific Northwest National Laboratory, Earth Systems Science Division, Richland, United States
 
Evaluation of Open-Source DTMs and TanDEM – X 12 DTM using ICESat-2 Altimetry and Surveyed data for a Flat Topography in India (1101132)
Vineela Nandam and Prem Lal Patel, Sardar Vallabhbhai National Institute of Technology, Surat, India
 
Mapping Vegetation Trend Analysis of New South Wales (NSW), Australia (1102183)
Sahar Soleimanimatin, University of Technology Sydney, Ultimo, NSW, Australia and Biswajeet Pradhan, University of Technology Sydney, Centre for Advanced Modelling and Geospatial Information Systems, Faculty of Engineering and IT, Sydney, NSW, Australia
 
Estimating Landslide Deformation in the Upper Ganges Catchment Using Sentinel-1 Persistent Scatterer InSAR (1106186)
Rangoli Goel, Indian Institute of Technology Roorkee, Roorkee, India, Alok Bhardwaj, Indian Institute of Technology Roorkee, Civil Engineering, Roorkee, India, Mahdi Motagh, Helmholtz Center Potsdam, GFZ, Potsdam, Germany; Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany and Mahmud Haghighi, Leibniz University of Hannover, Institute for Photogrammetry and GeoInformation, Hannover, Germany; Institute of Photogrammetry and Geoinformation, Leibniz University Hannover, Potsdam, Germany
 
NASA Earth Observations and the NASA Earth Science Disasters Program: providing data, services and science expertise through the Disasters Mapping Portal to inform end user decision-making throughout the disaster management cycle (1120656)
Ronan Lucey, University of Alabama in Huntsville, Huntsville, AL, United States, Garrett Layne, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Lori A Schultz, NASA Marshall Space Flight Center, Huntsville, United States, Rachel Soobitsky, Science Systems and Applications, Inc., Greenbelt, MD, United States, Cadan Cummings, Jacobs Technology, Inc., Houston, United States and Kaylee Sharp, University of Alabama in Huntsville, Huntsville, United States
 
Visualizing Two Decades of Climate Disaster Impacts on Texas and Australia via Satellite Remote Sensing to Prepare for the 2022-2023 La Niña Phenomenon (1122339)
Jia Gill1, Haelin Lee1, Shrimayee Narasimhan1, Shruti Natala1, Matthew Noriega1, Ethan Palosh1, Katherine Sullivan1, Aneeta Thokkadam1 and Teresa Howard2, (1)SEES (STEM Enhancement in Earth Science), Center for Space Research, Austin, United States, (2)Univ Texas - Ctr Space Rsch, Austin, TX, United States
 
Derivation of Semi-Empirical Oil Threshold Model based on Ocean Radar Scattering Mechanism from Sentinel-1 SAR Oil-Spill Images. (1137186)
Soyeon Park1, Chenglei Li2 and Duk-Jin Kim2, (1)Seoul National University, School of Earth and Environmental Studies, Seoul, Korea, Republic of (South), (2)Seoul National University, School of Earth and Environmental Studies, Seoul, South Korea
 
We won’t be fooled again (1140650)
Guy Schumann, University of Bristol, School of Geographical Sciences, Bristol, United Kingdom; ImageCat Inc., Long Beach, United States, Albert Kettner, University of Colorado Boulder, INSTAAR, Boulder, CO, United States, G Robert Brakenridge, CSDMS Facility, INSTAAR, Boulder, CO, United States and Matthew E. Kahn, University of Southern California, Department of Economics, Los Angeles, United States
 
Assessing Danger Levels in Flood Early Warning in Sylhet, Bangladesh: A Comparison Between Hydrological and Remote Sensing Based Methods (1143325)
Alexander Saunders1, Jonathan Giezendanner1, Ariful Islam1, Mohammad Arifuzzaman Bhuiyan2, Akm Saiful Islam3 and Beth Tellman4, (1)University of Arizona, School of Geography, Development and Environment, Tucson, United States, (2)Flood Forecasting and Warning Centre, Bangladesh Water Development Board, Dhaka, Bangladesh, (3)Bangladesh Institute of Water and Flood Management, Dhaka, Bangladesh, (4)University of Arizona, School of Geography, Development and Environment, Tucson, AZ, United States
 
A Framework for Fast Assessment of Terrain Changes Using Satellite Images to Support Long-Term Updating of Digital Terrain Model (1144137)
Fuan Tsai1, Elisabeth Dippold2, Chien-Liang Liu3 and Chi-Chuan Lo1, (1)National Central University, Center for Space and Remote Sensing Research, Zhongli, Taoyuan, Taiwan, (2)National Central University, Department of Civil Engineering, Zhongli, Taoyuan, Taiwan, (3)National Central Unviersity, Center for Space and Remote Sensing Research, Zhongli, Taoyuan, Taiwan
 
Analyzing Sequence of Events and Slope Failure: Case Study of Dhauliganga Flash Floods, Chamoli, Uttarakhand, India (1149686)
Deepti Kumari Dwivedi, Indian Institute of Technology Roorkee, Centre of Excellence in Disaster Mitigation and Management, Roorkee, India, Arun Kumar Saraf, Indian Institute of Technology Roorkee, Department of Earth Sciences, Roorkee, India and Josodhir Das, Indian Institute of Technology Roorkee, Department of Earthquake Engineering, Roorkee, India
 
A first look at the OPERA Dynamic Surface Water eXtent and Land Surface Disturbance products and their applications (1150401)
Kelly Devlin1,2, Mary Grace Bato2, David P Bekaert2, Matthew Bonnema2, Rubie Dhillon2,3, Heresh Fattahi4, Alexander L Handwerger2, Matthew Hansen5, John W. Jones6, Samantha C Niemoeller2, Batuhan Osmanoglu7, Amy Hudson Pickens5, Simran Singh Sangha2, Gustavo H.X. Shiroma2 and Karthik Venkataramani2, (1)Cornell University, Earth and Atmospheric Sciences, Ithaca, NY, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)University of California Los Angeles, Department of Mathematics, Los Angeles, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)University of Maryland, Department of Geographical Sciences, College Park, United States, (6)U.S. Geological Survey, Hydrologic Remote Sensing Branch, Kearneysville, United States, (7)NASA Goddard Space Flight Center, Greenbelt, MD, United States
 
Levering Real-Time and Forecast Hazard Data to Enhance Humanitarian Decision-Making (1150825)
Justin Ginnetti, Geneva, GE, SWITZERLAND
 
Assessment of Consequences due to Over-exploitation of Groundwater in Kurukshetra District of Haryana, India using InSAR. (1151419)
Anirudh Sharma, Kurukshetra University, Kurukshetra, India, Chandrakanta Ojha, Indian Institute of Science Education and Research Mohali (IISER), Department of Earth and Environmental Sciences, Sahibzada Ajit Singh Nagar, India and Naresh Kumar, Kurukshetra University, Deparment of Geology, Kurukshetra, India
 
Spatio-Temporal Characterization of Oil Spills from Multi-Sensor Satellite Imagery (1162474)
Ramona-Maria Pelich, Tran Vu La, Marco Chini and Patrick Matgen, Luxembourg Institute of Science and Technology, Environmental Research and Innovation, Belvaux, Luxembourg
 
Using Satellite Data for Crisis and Disaster Risk Management (1163250)
Giriraj Amarnath, International Water Management Institute, Silverton, South Africa, Niranga Alahacoon, International Water Management Institute, Colombo, Sri Lanka and Alok KUMAR Sikka, International Water Management Institute, Delhi, India
 
Mapping Flood Inundation and Coastal Subsidence over the Kerala region of India using Satellite Radar Sensing Technique (1168897)
Aparna R, Indian Institute of Science Education and Research Mohali, Mohali, India and Chandrakanta Ojha, Indian Institute of Science Education and Research Mohali (IISER), Department of Earth and Environmental Sciences, Sahibzada Ajit Singh Nagar, India
 
Land Disturbance Case Studies Using Remote Sensing InSAR: Hydrocarbon Production Fields of West Texas and Land Subsidence Zones in the Arizona Willcox Basin (1174627)
Danielle Smilovsky, Texas State University San Marcos, Department of Geography and Environmental Studies, San Marcos, United States
 
Leveraging Synthetic Aperture Radar (SAR) Data to Monitor Exposure of Transportation Networks to Flood Hazards (1179347)
Madeline C Allen, Vanderbilt University, Civil and Environmental Engineering, Nashville, United States and Ralf Bennartz, Vanderbilt University, Department of Earth and Environmental Sciences, Nashville, United States
 
Understanding the Recovery Status of Vegetation Greenness after 2018 Camp Fire, California using Markov Chain Analysis (1188092)
Abu Zahir Abir, Western Illinois University, Earth, Atmospheric, and Geographic Information Sciences (EAGIS), Macomb, IL, United States and Sadia Marium Rinty, Center for Earthquake Research and Information, The University of Memphis, Memphis, United States
 
Remote sensing to the rescue - Assessing the impact of armed conflict on cultivated land in Tigray, Ethiopia (1189644)
Liya Weldegebriel1, David B Lobell1, Jan Nyssen2 and Emnet Negash2, (1)Stanford University, Stanford, CA, United States, (2)Ghent University, Ghent, Belgium
 
Assessment of Meteorological Drought using Long-Term Satellite Precipitation Estimates over Ganga River basin, India (1191005)
Deen Dayal1, Ashish Pandey1 and Praveen Kumar Gupta2, (1)Indian Institute of Technology Roorkee, Roorkee, India, (2)Space Applications Centre, Indian Space Research Organisation, Ahemadabad, India
 
The Application of Remote Sensing Data, Analytical Models, and a Decision Support System to Monitor, Alert and Respond to Flood, Landslide and Wildfire Hazards Around the Globe (1194711)
Greg Hampe1, Chris Chiesa1, Doug Baush2, Joseph Green3, Juliana Lo3, Margaret T Glasscoe4, Dalia Kirschbaum5, Bandana Kar6 and Thomas Stanley7, (1)Pacific Disaster Center, Kihei, HI, United States, (2)Pacific Disaster Center, Kihei, United States, (3)Pacific Disaster Center, Applied Science, Kihei, United States, (4)JPL-Caltech, Pasadena, CA, United States, (5)NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, United States, (6)University of Southern Mississippi, Stennis Space Center, MS, United States, (7)University of Maryland Baltimore County, GESTAR-II, Baltimore, United States
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