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The dataset contains monthly identification of agricultural production hotspot countries by JRC experts and summary narratives for agriculture and food security analysts. The...
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The national and sub-national crop calendars are based on FAO data and include only crops for which the original calendars match with the ASAP remote sensing based phenology....
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The dataset contains warnings about low or delayed vegetation performance at sub-national level for crops and rangelands. The warning classification scheme is applied globally...
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ASAP information is provided at two spatial levels: national (Gaul0) and sub-national (Gaul1). The reference spatial layers are derived from the Global Administrative Unit...
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The dataset contains global crop and rangeland masks at 0.0089286 deg resolution (about 1 squared kilometer). Each pixel represents the area fraction of the specific cover...
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The satellite- derived phenology is computed on the long-term average of 10-day MODIS NDVI data produced by BOKU University starting from MOD13A2 and MYD13A2 V006 16-DAY Global...
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The satellite- derived phenology is computed on the long-term average of 10-day MODIS NDVI data produced by BOKU University starting from MOD13A2 and MYD13A2 V006 16-DAY Global...
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The satellite- derived phenology is computed on the long-term average of 10-day MODIS NDVI data produced by BOKU University starting from MOD13A2 and MYD13A2 V006 16-DAY Global...
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The satellite- derived phenology is computed on the long-term average of 10-day MODIS NDVI data produced by BOKU University starting from MOD13A2 and MYD13A2 V006 16-DAY Global...
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The satellite-derived phenology is computed on the long-term average of 10-day MODIS NDVI data produced by BOKU University starting from MOD13A2 and MYD13A2 V006 16-DAY Global...