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Assessing of agricultural drought severity in Afghanistan

Year of publication 2023

Place of publication Rome, Italy ;

Pages 1p.

Author FAO;

Publisher FAO ;

Product type Brochure, flyer, fact-sheet

Synopsis (short abstract) Monitoring and assessing agricultural drought is crucial for ensuring food security in Afghanistan. This assessment utilizes remote sensing data and analysis to evaluate drought extent using the vegetation health index1 which combines the vegetation and temperature condition indices retrieved from MODIS products2,3. Monthly vegetation health index maps from December to April are processed and merged to create a comprehensive growing season map, categorized into five drought severity classes for drought impact assessment4. For a better visual representation, the map is visualized by means of a hexagon grid with cells of 350 square kilometers. As can be seen, comparing the drought area percentages in 2018 and 2022, many provinces exhibited higher levels of drought (extreme + severe) in 2018 than in 2022. These findings hold significant relevance for the Afghanistan Emergency Food Security Project, aiding essential information to address food security challenges and implement appropriate interventions.

Language English

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    Project
    Assessment of agricultural drought severity in Afghanistan for 2023 2023
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    Assessing agricultural drought severity is critical for food security. Remote sensing data, particularly the Vegetation Condition Index (VCI) from MODIS product1, helps evaluate drought extent. Monthly VCI maps from January to April are merged to create a comprehensive growing season map, categorized into five drought severity classes. This map is then visualized using a hexagon grid with cells of approximately 350 square kilometers. The 2023 drought severity assessment reveals that numerous provinces in Afghanistan experienced higher levels of drought, especially in the extreme and severe classes. These findings are important for the Afghanistan Emergency Food Security Project (OSRO/AFG/213/WBK), providing essential information to address food security challenges and implement appropriate interventions.
  • Thumbnail Image
    Project
    Assessment of agricultural drought severity in Afghanistan for 2022 2023
    Also available in:
    No results found.
    Assessing agricultural drought severity is critical for food security. Remote sensing data, particularly the Vegetation Condition Index (VCI) from MODIS product1, helps evaluate drought extent. Monthly VCI maps from January to April are merged to create a comprehensive growing season map, categorized into five drought severity classes. This map is then visualized using a hexagon grid with cells of approximately 350 square kilometers. The 2022 drought severity assessment reveals that numerous provinces in Afghanistan experienced higher levels of drought, especially in the extreme and severe classes. These findings are important for the Afghanistan Emergency Food Security Project (OSRO/AFG/213/WBK), providing essential information to address food security challenges and implement appropriate interventions.
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    Project
    Assessing exposure of irrigated agriculture to drought in Afghanistan (2021) 2023
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    Assessing the exposure of irrigated agriculture to drought is crucial for understanding its impact on food security. Remote sensing data, particularly the Vegetation Condition Index (VCI) from MODIS product1, helps evaluate drought extent (values below 40 percent). The International Centre for Integrated Mountain Development (ICIMOD) land cover dataset (2018)2 was used to extract irrigated agriculture, which was overlaid on the drought data to assess the level of exposure in each province. The results were visualized using a hexagonal map (90 km2 per hexagon) with a color-coded legend, indicating various levels of exposure (low to high). These findings are important for the Afghanistan Emergency Food Security Project (OSRO/AFG/213/WBK), providing essential information to address food security challenges and implement appropriate interventions.
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