GC089
Uniting Advances in Remote Sensing, Earth System Modeling, and Social Sciences to Improve Risk Management

Session ID#: 79056

Session Description:
Advances in the science of detecting and predicting hazards such as droughts and floods offer the renewed promise of helping communities plan for, survive, and thrive amid adverse conditions. However, using these advances to effectively protect vulnerable people also requires innovations in the design and delivery of social protection programs.

This session seeks to unite technical and programmatic expertise to detect and manage environmental risks. Innovations and evaluations related to identifying and filling gaps in insurance and/or early warning initiatives for agricultural systems are of particular interest, given their significant potential to influence the livelihoods and food security situation of vulnerable people across the world.


We welcome participants from the remote sensing / earth science, risk financing, and public policy domains to share experiences from risk fields on agriculture and beyond (e.g., fires, earthquakes, severe weather), so as to cross-pollinate lessons on enhancing welfare and resilience to environmental shocks.

Co-Organized:
  • IN - Earth and Space Science Informatics
  • PA - Public Affairs
  • SI - Societal Impacts and Policy Sciences
Index Terms:

1630 Impacts of global change [GLOBAL CHANGE]
1640 Remote sensing [GLOBAL CHANGE]
1920 Emerging informatics technologies [INFORMATICS]
6309 Decision making under uncertainty [POLICY SCIENCES & PUBLIC ISSUES]

Primary Convener:  Elinor Benami, University of California Davis, Davis, CA, United States; Stanford University, Stanford, CA, United States
Conveners:  Eric Anderson, University of Alabama in Huntsville, NASA-SERVIR, Huntsville, AL, United States, Shanna N. McClain, NASA Headquarters, Applied Sciences, Washington, DC, United States and Zhenong Jin, University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, MN, United States
Primary Liaison:  Elinor Benami, Stanford University, Stanford, CA, United States; University of California Davis, Davis, CA, United States
 
Quality Standards and the Role of Earth Observation in Improving Index Insurance Design (494019)
Michael Carter, University of California Davis, Agricultural and Resource Economics, Davis, CA, United States and Elinor Benami, Stanford University, Stanford, CA, United States
 
Analysis on the Interaction between Road Traffic Accidents and Rainfall Occurrences Using High-Resolution Radar Data (504726)
Seongsim Yoon, KICT Korea Institute of Construction Technology, Goyang, Korea, Republic of (South), Un Ji, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang, South Korea and Inhyeok Bae, Korea University of Science and Technology, Smart City and Construction Engineering, Goyang, South Korea
 
Introduction to agricultural insurance market in China and existing technological applications (510991)
Han Chen, Swiss Reinsurance Company Ltd, Beijing, China; Tsinghua Univ., Department of Earth System Science, Beijing, China
 
Scalable and Sustainable: How to build anticipatory capacity into social protection systems (514568)
Cecilia Costella1, Catalina Jaime2, Julie Arrighi3, Erin Coughlan3, Pablo Suarez4 and Maarten van Aalst5, (1)Red Cross Red Crescent Climate Centre, Terwolde, Netherlands, (2)Red Cross Climate Centre, London, United Kingdom, (3)Organization Not Listed, Washington, DC, United States, (4)Red Cross / Red Crescent Climate Centre, Boston, MA, United States, (5)Red Cross / Red Crescent Climate Centre, The Hague, Netherlands
 
Analysis of Dynamic Characteristics of Dangreyong Co and Its Causes Based on Multi-source Satellite Data in the Latest 30 Years (515370)
Wenzhong Wang, Dui Huang, Jiufu LIU, Hongwei LIU and Huan WANG, Nanjing Hydraulic Research Institute, Hydrology and Water Resources Department, Nanjing, China
 
Measuring and unpacking smallholder agricultural risks using fine resolution satellite data (Invited) (519032)
David B Lobell, Stanford University, Stanford, CA, United States, Zhenong Jin, University of Minnesota-Twin Cities, Department of Bioproducts and Biosystems Engineering, Saint Paul, MN, United States and George Azzari, Atlas AI, Palo Alto, CA, United States
 
Leveraging Earth Observations to Inform Early Action and Policy, in Support of Food Security (539779)
Inbal Becker-Reshef1, Christina Jade Justice1, Catherine Nakalembe2, Brian Barker3, Ritvik Sahajpal4, Michael Laurence Humber3, Alyssa K Whitcraft1, Estefania Puricelli5, Sylvain Coutu6, Tom Dienya7, Martin Owor8 and Christopher Owen Justice5, (1)University of Maryland College Park, Geographical Sciences, College Park, MD, United States, (2)UMD, College Park, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)University of Maryland, College Park, MD, United States, (5)University of Maryland, Geographical Sciences, College Park, MD, United States, (6)Swiss Re, Armonk, NY, United States, (7)SDCD (Min of Ag), Nairobi, Kenya, (8)Uganda Office of the Prime Minister, Department of Relief, Disaster Preparedness and Management, Kampala, Uganda
 
Improving and Capacity Building of Water-Related Disasters Communication Systems Linking Regionalized EF5 Hydrological Modeling to Amazon SNS (557880)
Teshome Lemma Yami1, Yang Hong2, Humberto J Vergara3, Race A Clark1, Laura G Labriola4, Jonathan J Gourley5, Daniel Mandl6 and Kyle G Keys7, (1)University of Oklahoma Norman Campus, Norman, OK, United States, (2)University of Oklahoma, Norman, OK, United States, (3)Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States, (4)University of Oklahoma Norman Campus, Civil Engineering and Environmental Science, Norman, OK, United States, (5)National Severe Storms Lab, Oklahoma City, OK, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)University of Oklahoma, Civil Engineering and Environmental Science, Norman, OK, United States
 
The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote Sensing Analysis of Coastal Flooding (562913)
Sagy Cohen1, Arthur Austin Raney II1, Dinuke Munasinghe2, Derek Loftis3, Andrew Molthan4, Jordan R Bell5, Laura Rogers6, John F. Galantowicz7, G Robert Brakenridge8, Albert Kettner9, Yu-Fen Huang10 and Yin-Phan Tsang11, (1)University of Alabama, Tuscaloosa, AL, United States, (2)Chantilly, VA, United States, (3)VIMS, Gloucester Pt, VA, United States, (4)NASA Marshall Space Flight Center, Huntsville, AL, United States, (5)University of Alabama in Huntsville/NASA Short-term Prediction Research and Transition (SPoRT) Center, Huntsville, AL, United States, (6)NASA Langley Research Center, Hampton, VA, United States, (7)Atmospheric and Environmental Research, Lexington, MA, United States, (8)CSDMS Facility, INSTAAR, Boulder, CO, United States, (9)University of Colorado, Boulder, CO, United States, (10)University of Hawaii at Manoa, Honolulu, HI, United States, (11)MI St-Fisheries & Wildlife, East Lansing, MI, United States
 
Improving the Crop Germination Cover for Smallholder Agriculture in East Africa Using Multi-Sensor Data (581401)
Zhenong Jin, University of Minnesota Twin Cities, Minneapolis, MN, United States, Chenxi Lin, University of Minnesota Twin Cities, Saint Paul, MN, United States, George Azzari, Atlas AI, Palo Alto, CA, United States and David B Lobell, Stanford University, Stanford, CA, United States
 
An open infrastructure for mapping crop distribution and estimating crop yield (581893)
Robert J Hijmans1, Aniruddha Ghosh1 and Benson Kipkemboi Kenduiywo2, (1)University of California Davis, Davis, CA, United States, (2)University of California Davis, Environmental Science and policy, Davis, United States
 
Lesson Learnt from the Development and Implementation of Index-Insurance for Livestock in the African Pastoral Drylands: Toward Early Response and Regional Scaling (584517)
Francesco Fava, International Livestock Research Institute, Sustainable Livestock Systems, Nairobi, Kenya and Nathaniel Duane Jensen, International Livestock Research Institute, Nairobi, Kenya
 
Seasonal crop mapping using radar images in Kitale, Kenya (594345)
Benson Kipkemboi Kenduiywo, University of California Davis, Environmental Science and policy, Davis, United States, Aniruddha Ghosh, University of California Davis, Davis, CA, United States and Robert J Hijmans, University of California, Davis, CA, United States
 
Monitoring inundated infrastructure and assets with high resolution satellite imagery to enable financial protection (608874)
Beth Tellman1, Jeff C Ho2,3, Bessie Schwarz4, Andrew Y Zolli5, Simon R Young6, Samapriya Roy7, Sam Weber8,9, Thomas Y Harris5, Colin Doyle4,10, Jiayong Liang11, Sara Y Safavi5 and Brittany N Zajic12, (1)Earth Institute, Columbia Water Center and the International Research Center on Climate and Society, New York, NY, United States, (2)Cloud to Street, New York, CA, United States, (3)Stanford University, Stanford, CA, United States, (4)Cloud to Street, New York, NY, United States, (5)Planet, San Francisco, United States, (6)GeoSY Ltd, Miami, FL, United States, (7)Planet, San Francisco, CA, United States, (8)Cloud to Street, Brooklyn, NY, United States, (9)University of California Irvine, Department of Ecology and Evolutionary Biology, Irvine, CA, United States, (10)University of Texas at Austin, Austin, TX, United States, (11)Cloud to Street, New York, United States, (12)Planet Labs, San Francisco, CA, United States
 
Long Term Impacts of Cover Crops on Corn Yield Risk and Implied Changes to Crop Insurance Premiums (614948)
Lawson Connor, Baton Rouge, LA, United States
 
Study of spectral properties of coal and other coal measure rocks in VNIR band: A case study of Jharia coal mines, India (635038)
Nafisa Begum, Indian Institute of Technology Kharagpur, Kharagpur, India, Prof. Debashish Chakravarty, Indian Institute of Technology Kharagpur, Mining Engineering Department, Kharagpur, India and Prof. Bhabani Sankar Das, Indian Institute of Technology Kharagpur, Agricultural and Food Engineering Department, Kharagpur, India
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