SPIRITS development partners
» moreFAO is an agency of the United Nations that leads international efforts to defeat hunger. It financially supported the development of a number of additional modules which were specifically developed in the frame of FAO’s Agricultural Stress Index System (ASIS).
Web based Image Time Series analysis tools
» moreThe eStation is a collection of services developed by the JRC to automatically deal with the reception, processing, analysis and dissemination of key environmental parameters derived from remotely sensed data. SPIRITS is complementary to the eStation an provides more specific functionalities for agricultural monitoring. eStation image time series can easily be imported in SPIRITS.
» moreThe USGS FEWS NET Data Portal provides access to geo-spatial data, satellite image products, and derived data products in support of FEWS NET monitoring needs throughout the world. This portal is provided by the USGS FEWS NET Project, part of the Early Warning and Environmental Monitoring Program at the USGS Earth Resources Observation and Science (EROS) Center.
Among the time series of satellite data made available by the USGS FEWSNET data portal there are the eMODIS data. eMODIS (expedited MODIS) is an image processing chain developed by USGS that makes quickly available MODIS images for large areas of the Globe and mainly for humanitarian uses. The eMODIS products are 10-day data composits which are updated every 5 days (72 dekads per year). Since SPIRITS works only with daily, 10-daily or monthly frequencies, the easiest way to import eMODIS data is to use only every second 10-daily period (36 dekads per year).
Another interesting and well known data set for crop monitoring in Africa are the RFE rainfall estimates. As of January 1, 2001, RFE version 2.0 has been implemented by NOAA’s Climate Prediction Center. Created by Ping-Ping Xie, this replaces RFE 1.0, the previous rainfall estimation algorithm that was operational from 1995 through 2000 (Herman et al., 1997). RFE 1.0 used an interpolation method to combine Meteosat and Global Telecommunication System (GTS) data, and included warm cloud information for the dekadal estimates. RFE 2.0 uses additional techniques to better estimate precipitation while continuing the use of cold cloud duration, or CCD (derived from cloud top temperature), and station rainfall data.
For a more detailed overview of the data and products available on this site we recommend to visit the website directly
» moreEarth Observation techniques are commonly used for food security monitoring (early warning) and management of agriculture, forests and natural resources. This site provides an overview of a number of projects and efforts aiming to strengthen Africa’s sustainable development.
» moreThis is a portal for medium and low resolution satellite data distribution mainly for European satellites/sensors like SPOT VEGETATION, PROBA V, ENVISAT MERIS. Most of the data are in HDF format