1. Application of Remote Sensing for Ex Ante Decision Support and Evaluating Impact
- Author
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P. Oddo, Madeline Ruid, Sean McCartney, Erin Glennie, Anupam Anand, and Alison Thieme
- Subjects
Decision support system ,Health (social science) ,010504 meteorology & atmospheric sciences ,Sociology and Political Science ,Social Psychology ,Ex-ante ,Strategy and Management ,Environmental stressor ,Biodiversity ,04 agricultural and veterinary sciences ,01 natural sciences ,Education ,Deforestation ,Remote sensing (archaeology) ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Business ,Business and International Management ,Environmental planning ,Socioeconomic status ,0105 earth and related environmental sciences - Abstract
Deforestation is an environmental stressor that dramatically threatens biodiversity while having adverse, deep-rooted, socioeconomic impacts. Interventions to address deforestation require considerable long-term investments; therefore, assessing their impact is crucial. The UN Convention on Biological Diversity encourages establishing protected areas (PAs) as a strategy to conserve biodiversity, secure ecosystem services, support local livelihoods, and reduce climate change impacts. The Global Environment Facility (GEF) has supported the conservation and management of PAs, yet site accessibility and data availability present challenges in assessing PAs using traditional evaluation methods. We present a novel application of satellite Earth observations for evaluating the effectiveness and impact of PAs as a deforestation mitigation strategy. Geospatial analysis and ecological forecasting methodologies provide an efficient way to quantify land cover change, estimate above ground carbon stock, and evaluate ecosystem services provided by the PAs ex ante. We demonstrate the value of a geospatial approach through the evaluation of GEF-supported PAs in Kenya.
- Published
- 2020