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Country-level ASIS: an agricultural drought monitoring system










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    Brochure, flyer, fact-sheet
    FAO Agricultural Stress Index System (ASIS)
    FAO Digital Services portfolio
    2019
    The Food and Agriculture Organization of the United Nations (FAO) has developed a Country-level ASIS Tool to help countries monitor agricultural drought and manage its risks, using satellite data to detect cropped land that could be affected by drought. The Tool uses satellite data to detect agricultural areas (farmland) in which crops might be affected by drought. The country-specific version of the Tool is based on the general methodological principles of the global Agricultural Stress Index System (ASIS), which is used at FAO Headquarters to support the Global Information and Early Warning System on Food and Agriculture (GIEWS).
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    Brochure, flyer, fact-sheet
    Brief Guidelines to the Global Information and Early Warning System’s (GIEWS) Earth Observation Website 2018
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    Guidelines to GIEWS’ Earth Observation website in order to help the viewers with navigation through the website. The Earth Observaiton for Crop Monitoring Tool supports its analysis and supplement ground-based information. The Global Information and Early Warning System on Food and Agriculture (GIEWS) utilizes remote sensing data that can provide a valuable insight on water availability and vegetation health during the cropping seasons. In addition to the rainfall estimates and the Normalized Difference Vegetation Index (NDVI), GIEWS and FAO’s CBC Division have developed the Agricultural Stress Index (ASI). Every ten days, the System generates a map showing the hot spots around the world, where crops are affected by water stress during the growing period and the information is verified with field observations to corroborate the remote sensing analysis.
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    Booklet
    Developing an indicator of price anomalies as an early warning tool: A compound growth approach 2017
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    The food price surge in global markets in 2007-2008 and then again in 2011, has spurred a lot of interest in creating an early warning indicator to detect abnormal growth in prices in consumer markets in the developing world, where advance warning of an impending food crisis can be critical. In these countries, on an early warning basis, sometimes market prices are the only source of information available to assess the severity of a local shock to either access or availability of food. Because p rices summarize information held by a large number of economic agents, including their expectations regarding likely short-term developments in supply and demand, they are ideal to use as the basis of an early warning indicator. The objective of this paper is to present the methodology for an indicator of price anomalies recently developed by the Global Information Early Warning System of FAO that can be used to identify abnormal price changes. The FAO/GIEWS indicator of price anomalies (IPA) re lies on a weighted compound growth rate that accounts for both within year and across year price growth. The main advantage of the IPA is its’ simplicity. It can be used in different markets without concern as to whether or not the market year has been well defined. The indicator directly evaluates growth in prices over a particular month over many years, which allows one to answer the question of whether or not a small change in price is normal for any particular period.

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