期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2002
卷号：XXXIV Part 1
出版社：Copernicus Publications
摘要：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 vulnerability 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 Org anization, eighty percent of African food emergencies over a 12-year period were correctly identified with an 11 percent false alarm rate
