drag_indicator
EU SCIENCE HUB - Africa Knowledge Platform
Africa Platform
Africa Platform
2
The dataset contains warnings about low or delayed vegetation performance at sub-national level for rangeland . The warning classification scheme is applied globally and is based on rainfall estimates (RFE) and NDVI anomalies. The results are a reliable warning of hydrological stress for agricultural production and the warning level ranges from 1 to 4. The historical frequency of ASAP warnings reports the percentage of dekads with a warning for rangeland, out of the total number of active dekads in the period 2004-2019.
GOAL 1: No poverty
Other SDGs
GOAL 12: Responsible Consumption and Production, GOAL 2: Zero Hunger
Natural Disasters Environment Food and Agriculture Crop Health
Source: EC-JRC
Each pixel represents the area fraction of the specific cover (i.e. percentage of the pixel with crops/rangeland). Data are scaled between 1 and 200 (50 = 25%, 100 = 50%, 150 = 75%, 200 = 100%): image values V = 0-200, scaling 0.5 - > physical value 0-100%. These layers were generated for ASAP, combining existing data sets.
GOAL 1: No poverty
Other SDGs
GOAL 12: Responsible Consumption and Production, GOAL 2: Zero Hunger
Food and Agriculture Land Use in Agriculture Yields Food per Person Crop Health
Source: EC-JRC
