PA11C:
Methods for Assessing the Impact and Value of Earth Observations and Geospatial Data for Decision Making

Submit an Abstract to this Session



Session ID#: 26765

Session Description:
Earth observations and geospatial data contribute to societal benefit through improved decision-making, however identifying and quantifying those benefits is challenging. Characterizing the impact of Earth observations and geospatial data on decisions is difficult, which impacts the ability to estimate the value of this information. Accurate estimates of the impact and value of Earth observations and geospatial data allow policy-makers to make informed decisions about the provision and continuity of critical measurements of Earth system processes. The purpose of this session is to identify and compare methods for identifying and quantifying the impact of Earth observations and geospatial data on decisions and determining the value of that information. Methods papers and case studies that address specific applications of Earth observations and geospatial data to decisions by end-users, including governments, researchers, communities, NGOs, and the private sector, are encouraged.
Primary Convener:  Jason Gallo, Science and Technology Policy Institute, Washington, DC, United States
Conveners:  Steven M Lev, Science and Technology Policy Institute, Washington, DC, United States and Lawrence Friedl, NASA Headquarters, Earth Science Division, Washington, DC, United States
Chairs:  Jason Gallo, Science and Technology Policy Institute, Washington, DC, United States and Steven M Lev, IDA Science and Technology Policy Institute, Washington, DC, United States
OSPA Liaison:  Jason Gallo, Science and Technology Policy Institute, Washington, DC, United States
Index Terms:

1918 Decision analysis [INFORMATICS]
6304 Benefit-cost analysis [POLICY SCIENCES]
6314 Demand estimation [POLICY SCIENCES]
6620 Science policy [PUBLIC ISSUES]

Abstracts Submitted to this Session:

The Consortium for the Valuation of Applications Benefits Linked with Earth Science (VALUABLES) (Invited) (262039)
Yusuke Kuwayama1,2, Bethany Mabee2 and Shannon Wulf Tregar2, (1)Resources for the Future, Washington, United States, (2)Resources for the Future, Washington, DC, United States
Value of Earth Observation for Risk Mitigation (292919)
Francoise Pearlman1, Carl D Shapiro2, Monica Grasso3, Jay Pearlman1, Jeffery E. Adkins4, Emily Pindilli5 and Denna Geppi6, (1)FourBridges, Port Angeles, WA, United States, (2)USGS, Reston, VA, United States, (3)NOAA, Chief Economist, Silver Spring, United States, (4)NOAA, Silver Spring, United States, (5)U.S. Geological Survey, Science and Decisions Support Center, Reston, VA, United States, (6)NOAA, Silver Spring, MD, United States
The Value of Satellite Early Warning Systems in Kenya and Guatemala: Results and Lessons Learned from Contingent Valuation and Loss Avoidance Approaches (300517)
Isaac Morrison, Management Systems International, Washington, DC, United States and Jared Steven Berenter, Management Systems International, Islamabad, Pakistan
Soil pH Errors Propagation from Measurements to Spatial Predictions – Cost Benefit Analysis and Risk Assessment Implications for Practitioners and Modelers (289893)
Zamir Libohova, USDA, ARS, Fayetteville, United States, Phillip R Owens, USDA ARS Dale Bumpers Small Farms Research Center, ARS, Booneville, United States, Cathy A Seybold, USDA-NRCS, Lincoln, NE, United States, Skye A. Wills, Iowa State University, Ames, IA, United States, Steve Peaslee, USDA, NRCS, Lincoln, NE, United States, Dylan Beaudette, USDA Natural Resources Conservation Service, Natural Resources Conservation Service, Sonora, CA, United States and David Lloyd Lindbo, North Carolina State University, Raleigh, NC, United States
Landslide and Tsunami in Karrat Fjord, Greenland, 2017; the Event, the Response and the Future (243191)
Kirsty Langley1, Eva Mätzler1, Magali Barba-Sevilla2, Mikkel Høegh Bojesen1, Rafael Caduff3, Colm O'Cofaigh4, John Dehls5, GEUS working group 16, Sylfest Glimsdal7, Carl Bonnevie Harbitz7, Reginald L Hermanns5, Andreas Kaab8, Brian Kibenich9, Yme Kvistedal7, Henrik Langeland7, Yngvar Larsen10, Finn Løvholt7, Patrick J Lynett11, Paul J Morin12, Lea Odermatt13, Eric J Rignot14, Per Sparrevik7, Andreas Wiesmann3, Mike Willis15 and Karl Brix Zinglersen16, (1)Asiaq, Greenland Survey, Nuuk, Greenland, (2)California State Polytechnic University Pomona, Pomona, CA, United States, (3)Gamma Remote Sensing, Guemligen, Switzerland, (4)University of Durham, Durham, United Kingdom, (5)Geological Survey of Norway, Trondheim, Norway, (6)Geological Survey of Denmark and Greenland, København K, Denmark, (7)Norwegian Geotechnical Institute, Oslo, Norway, (8)University of Oslo, Geosciences, Oslo, Norway, (9)Government of Greenland, Nuuk, Greenland, (10)NORUT Northern Research Institute, Tromsø, Norway, (11)University of Southern California, Los Angeles, CA, United States, (12)Polar Geospatial Center, St Paul, MN, United States, (13)SKH Geologen, Stans, Switzerland, (14)Jet Propulsion Laboratory, Pasadena, United States, (15)Virginia Polytechnic Institute and State University, Department of Geosciences, Blacksburg, United States, (16)Greenland Institute of Natural Resources, Environment & Minerals, Nuuk, Greenland
Linking the Observation of Essential Variables to Societal Benefits (252950)
Emily Sylak-Glassman, Science and Technology Policy Institute, Washington, DC, United States
The Network Structure Underlying the Earth Observation Assessment (260099)
Sol Vitkin, William Doane and Justin C. Mary, IDA Science and Technology Policy Institute, Washington, DC, United States
Measuring the Interdisciplinary Impact of Using Geospatial Data with Remote Sensing Data (265661)
Robert R Downs, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States, Robert S Chen, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States and Joachim Schumacher, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, NY, United States

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