Quantifying the socioeconomic benefits of satellite data applications at different decision-making scales
National and international organizations are placing greater emphasis on the societal and economic benefits that are derived from applications of satellite data, yet improvements are needed to connect the decision processes that produce actions with direct societal benefits. In addition, the benefits that arise from the use of satellite data are associated with decision contexts at different scales, e.g., decisions made by federal government agencies, state government agencies, organizations, and individuals. In this presentation, we describe results from four rigorous impact assessments that quantify the socioeconomic benefits of satellite data applications at different decision-making scales. To represent the value of satellite data applications for decision making in federal and state government agencies, we present new results from two impact assessments recently completed by the Consortium for the Valuation of Applications Benefits Linked with Earth Science (VALUABLES), a cooperative agreement between Resources for the Future (RFF) and the National Aeronautics and Space Administration (NASA). The first assessment quantifies the human health benefits of using satellite data to enforce uniform compliance under the National Ambient Air Quality Standards (NAAQS), while the second assessment quantifies the human health benefits of using satellite data to monitor harmful algal blooms in recreational freshwater lakes. In addition, we summarize results from two existing studies in the literature that quantify the benefits of satellite data applications for decision making at a smaller scale by private firms and individuals. The first assessment (Nagaraj 2017) characterizes innovation in the gold mining sector with and without Landsat information, while the second assessment (Morrison et al. 2017) estimates the value of a frost prediction tool for tea farmers in Kenya.
AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- 0480 Remote sensing;
- BIOGEOSCIENCESDE: 1640 Remote sensing;
- GLOBAL CHANGE