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Flood impacted irrigated cropland area in Central and Southern provinces, Malawi (2022)

Year of publication 2022

Place of publication Rome, Italy ;

Pages 1p.

Author FAO

Publisher FAO ;

Product type Project

Synopsis (short abstract) Flood impacted irrigated cropland area in Central and Southern provinces, Malawi (2022)

Language English

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    Cropland in Central and Southern provinces, Malawi (2022) 2022
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    Cropland in Central and Southern provinces, Malawi (2022)
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    Booklet
    A geospatial assessment of the impact of flood in support to the restoration of irrigation schemes in Malawi 2022
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    In early 2022, the Southern and Central provinces of Malawi have been impacted by various extreme events such as tropical Storm Ana in January followed by tropical cyclone Gombe in March. The strong winds and flooding including flash flood events caused severe damages to crops and irrigation infrastructures. Irrigation infrastructures play an important role in providing food and livelihood to a large part of the population as agriculture sector in Malawi employs 76.36 percent of the total population. On the other hand extreme weather events are becoming more frequent in Malawi and appraisal of the damages is difficult with limited information. In this context, the Geospatial unit at the Land and Water Division (NSL) of the Food and Agriculture Organization of the United Nations in close collaboration with the country office and Irrigation Department provided technical assistance to the Government of Malawi to assess the impact of flood using innovative geospatial technologies in support to the restoration of irrigation schemes. The majority of the large-scale irrigation infrastructure of the country is located in the south of the country, mainly in Chikwawa and Nsanje districts.
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    Brochure, flyer, fact-sheet
    A rapid geospatial analysis of the flood impacts on crops in Eastern Cape province of South Africa in 2022 2023
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    An analysis to assess the impacts of floods on cropland in KwaZulu-Natal province was performed using existing data, GIS and remote sensing. The crop mask was derived from the South African National Land Cover map (SANLC, 2018). The water mask was derived from the Joint Research Centre (JRC) water body data (2020). Sentinel 1 SAR was used to assess flood extent.
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