ABSTRACT
In this chapter, two case studies that involve the quantitative estimation of the value of information (VOI) in specific adaptation and mitigation decisions in the agriculture sector are summarized. The first case study focuses on adapting land use to sustain drinking water quality and to avoid an increase in the contamination of groundwater by agrochemicals. In the first example the Landsat archive is used to evaluate the societal benefits to adapt agricultural land management to reduce nonpoint source groundwater contamination. The second case study targets mitigating drought disasters by determining farmer eligibility for financial assistance by the U.S. Department of Agriculture (USDA). For the second example the Gravity Recovery and Climate Experiment (GRACE) provide data to assess the economic loss due to the misspecification of eligibility for drought disaster assistance and insurance that is evaluated in a specific drought policy.
In each case, Earth observation data are transformed into information and is processed with other science-based indicators, as well as socioeconomic data in support of applicable communities.
