Last updated: 20 Dec 2018 | Recent visits: 3 A SAP Global land surface phenology - Start of senescence 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 data at 1 km resolution. Phenology was extracted using the SPIRITS software applied... WEB PUB DWN
Last updated: 20 Dec 2018 | Recent visits: 2 A SAP Ten-daily automatic warnings about agricultural vegetation anomalies 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 and is based on rainfall estimates (RFE) and NDVI anomalies. The results are a relia... WEB PUB DWN
Last updated: 20 Dec 2018 | Recent visits: 2 A SAP Crop calendar dataset compatible with satellite-derived land surface phenology 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. The dataset contains the start and end dekad (over the 36 dekads in a year) of the pl... WEB PUB DWN
Last updated: 20 Dec 2018 | Recent visits: 1 A SAP Agricultural production hotspot assessments The dataset contains monthly identification of agricultural production hotspot countries by JRC experts and summary narratives for agriculture and food security analysts. The hotspot identification focusses on 80 countries including the food insecure countrie... WEB PUB DWN
Last updated: 20 Dec 2018 | Recent visits: 2 A SAP Global land surface phenology - Max of the season 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 data at 1 km resolution. Phenology was extracted using the SPIRITS software applied... WEB PUB DWN
Last updated: 20 Dec 2018 | Recent visits: 3 A SAP Global crop and rangeland masks 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 (i.e. percentage of the pixel with crops/rangelands) WEB PUB DWN
