Selected Satellite Information


The payouts for the HARITA project are determined using the NOAA ARC satellite estimate of rainfall.

The link below is to an IRI Data Library graphical animation that allows you to select ARC satellite rainfall estimates for different locations and time periods for downloads or plots--it may take a moment or two to prepare the data for viewing:
Data library ARC animation/selection

The direct link to the data library is http://iridl.ldeo.columbia.edu/

Below is an example of a direct link to get ARC data in a form that can be immediately used in a spreadsheet. Below is a link to download the daily ARC rainfall data for Adi Ha. Clicking on the link you will be able to download a table. If you are very technically oriented, you can modify the x and y coordinates in the url listed in your web-browser to download data for other locations. There may be a delay as the data is prepared
http://iridl.ldeo.columbia.edu/expert/SOURCES/.NOAA/.NCEP/.CPC/.FEWS/.Africa/.DAILY/.ARC/.daily/X/39.087/VALUE/Y/13.733/VALUE/.est_prcp/T+exch+table-+text+text+blankNaN+-table+.csv,

The IRI data library automatially downloads and formats this information from the official source at: ftp://ftp.cpc.ncep.noaa.gov/fews/AFR_CLIM/DATA

We have othe links to vegetative indexes at the IRI data library.

The AVHRR NDVIg vegetative index is perhaps the most popular vegetative satellite product. Click on the link below to see a map-based selection for AVHRR NDVI measurements since 1981. http://iridl.ldeo.columbia.edu/SOURCES/.USGS/.ADDS/.NDVI/.NDVIg/.dekadal/.maximum/figviewer.html?plottype=colors


MODIS is a more modern satellite that also has a very popular NDVI product. The data library link below has a map-based selection tool for this data. http://iridl.ldeo.columbia.edu/expert/SOURCES/.USGS/.LandDAAC/.MODIS/.version_005/.EAF/.NDVI/figviewer.html?map.url=X+Y+fig-+colors+coasts+lakes+-fig&my.help=more+options


More information about remote sensing issues in HARITA are available at http://iri.columbia.edu/~deo/Annex5Remote%20SensingChapter%20from%20HARITAIRIReport_June2010.pdf