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 ...
Description
ASAP is an online decision support system for early warning about hotspots of agricultural
production anomaly (crop and rangeland), developed by the JRC for food security crises prevention and response planning anticipation. The collection includes ten-daily warnings about agricultural vegetation anomalies at global scale, as well as reference data used by the system.
Data and other resources are published on the ASAP Download portal available at: https://agricultural-production-hotspots.ec.europa.eu/download.php
Contact
Datasets (10)
The dataset contains monthly identification of agricultural production hotspot countries by JRC experts and summary narratives for agriculture and food security analysts. The hots...
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 d...
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 Layers...
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. p...
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...
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 dat...
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 dat...
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 dat...
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 dat...
Related resources (1)
Additional information
- Published by
- European Commission, Joint Research Centre
- Created date
- 2018-12-14
- Modified date
- 2024-03-14
- Landing page
- https://agricultural-production-hotspots.ec.europa.eu/download.php