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Documentation material

ASAP: a quick overview

This 5 minutes video tutorial gives a quick introduction to ASAP and its the three interactive platforms that are part of the ASAP suite: the Hotspots Assessment, the Warning Explorer and the High Resolution Viewer.

ASAP warning classification scheme v 4.0

This document illustrates the ASAP methodology for the automatic calculation of the warning levels at provincial level, including the model, the data used by the system, and the way it is implemented. Version 4.0.

Development of a national and sub-national crop calendars data set compatible with remote sensing derived land surface phenology

This document illustrates the method used to downscale the existing national level crop calendars to the sub-national level using ASAP remote sensing derived phenology.

ASAP Water Satisfaction Index - Technical Manual of WSI version 2.0

This document describes the Water Satisfaction Index model.

Climate summary report in 2018

Summary of climate variability and extremes and their main impacts on agricultural production in 2018.

Integrating multiple land cover maps through a multi-criteria analysis to improve agricultural monitoring in Africa

Pérez-Hoyos A., Udías A., Rembold F., 2020. International Journal of Applied Earth Observation and Geoinformation, 88, 102064.

ASAP: A new global early warning system to detect anomaly hot spots of agricultural production for food security analysis

Rembold F., Meroni M., Urbano F., Csak G., Kerdiles H., Perez-Hoyos A., Lemoine G., Leo O., Thierry N., 2018. Agricultural Systems, 168, 247-257.

Comparison of Global Land Cover Datasets for Cropland Monitoring

Pérez-Hoyos A., Rembold F., Kerdiles H., Gallego J., 2017. Remote Sensing, 9 (11), 1118

ASAP - Anomaly hot Spots of Agricultural Production, a new early warning decision support system developed by the Joint Research Centre   

Rembold F., Meroni M., Urbano F., Lemoine G., Kerdiles H., Perez-Hoyos A., Csak G., 2017. Proceedings of the 9th International Workshop on the Analysis of Multitemporal remote Sensing Images (MultiTemp), 27-29 June 2017, Bruges - Belgium

Evaluation of the Standardized Precipitation Index as an early predictor of seasonal vegetation production anomalies in the Sahel

Meroni M., Rembold F., Fasbender D., Vrieling A., 2016. Remote Sensing Letters, 8(4), 301-310


ASAP: a Short Introduction  

Presentation that illustrates the main features of ASAP