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FAO Agricultural Stress Index System (ASIS)

FAO Digital Services portfolio











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    Brochure, flyer, fact-sheet
    Country-level ASIS: an agricultural drought monitoring system 2018
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    This brochure summarize the description, background, methodology, implementation and the potential of the agricultural drought monitoring system tools. The tool uses satellite data to detect agricultural areas (farmland) in which crops might be affected by drought. The country-level version is based on the general methodological principles used in the Agriculture Stress Index System (ASIS), which is globally operational at FAO-Rome as a form of technical support to the Global Information and Early Warning System (GIEWS). This is a an advocacy material to explain stakeholders the potencial of using the tool at their countries.
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    Brochure, flyer, fact-sheet
    FAO agricultural stress index system (ASIS)
    FAO digital service portfolio
    2018
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    On the occasion of the conference "Youth employment in agriculture as a solid solution to ending hunger and poverty in Africa" (Kigali, Rwanda, 20−21 August 2018), FAO will showcase a digital service portfolio, consisting of 10 innovation projects. This flyer presents the Agricultural Stress Index System (ASIS) that monitors agricultural areas with a high likelihood of water stress/drought at global, regional and country level, using satellite technology.
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    Book (stand-alone)
    Improve agriculture monitoring systems through satellite imagery for the Islamic Republic of Iran 2019
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    Due to more and more frequent extreme climate events (floods, drought, and frosts) and due to the changes in precipitation (amounts, seasonality, intensity) and warming temperatures that are impacting rainfed agriculture and changing growing seasons, the Ministry of Jihad-e-Agriculture (MOJA) of the Islamic Republic of Iran asked the Food and Agriculture Organization of the United Nations (FAO) to provide assistance in setting up an improved agriculture monitoring system, based on integral use of advanced geospatial technologies to support development of the techniques, policy and investment conditions to achieve sustainable agricultural development under the current changing conditions of climate. The project has focused on the identification of state-of-the-art methods and strategy for acreage and yield estimation, based on an assessment of the existing monitoring methodology, optimized through the use of remote sensing. In addition, the project benefitted from the availability of multi-temporal satellite images for testing and monitoring of a range of crops in 3 selected pilot areas: the provinces of Zanjan and Mazandaran and the region of the south of Kerman. The publication reports data collected, processes followed and results obtained at this stage of the still not completely concluded study.

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