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- W2186344693 abstract "The AVHRR Pathfinder database and the Global Precipitation Climatology Center gridded precipitation database are coupled to estimate global patterns of vegetation and precipitation stress. These patterns are incorporated in a Geospatial Indicators model to identify the risk and likelihood of food emergencies. An anomaly detection tool estimates stress relative to historical averages for any period of time. The anomaly surfaces, available for any location on Earth, are coupled with estimates of vulnerabil ity to food and water insecurity to estimate the risk to which a population is exposed as a result of drought, or other conditions that may affect food production. This paper explores research undertaken to evaluate results using vegetation metrics with precipitation anomaly estimates and other measures of carrying capacity in an integrated assessment of exposure to food and water insecurity based on the Geospatial Indicators model. Using food emergency statistics reported by the UN Food and Agriculture Organization, eighty percent of African food emergencies over a 12-year period were correctly identified with an 11 percent false alarm rate." @default.
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- W2186344693 date "2002-01-01" @default.
- W2186344693 modified "2023-09-27" @default.
- W2186344693 title "INTEGRATED ASSESSMENT OF FOOD AND WATER SECURITY USING VEGETATION AND PRECIPITATION ANOMALY DETECTION" @default.
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