The NDVI data in use is from the MODIS platforms Terra and Aqua, which provide globalĬoverage since 2000 (Terra) and mid-2002 (Aqua) at about 5Km resolution with a temporal Hazards infrared precipitation with stations-a new environmental record for monitoring Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell & Joel Michaelsen. CHIRPS is free to use and easilyįull details on the underlying methodology can be found in:įunk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand
#Noaa environmental visualization series#
To create gridded rainfall time series for trend analysis and seasonal drought monitoring.ĭata is available at 5 and 10 day accumulations.
Spanning 50°S-50°N (and allġ981 to near-present, CHIRPS incorporates 0.05° resolution satellite imagery with CHIRPS stands forĬHIRPS is a 35+ year quasi-global rainfall dataset. Hazards Group, at the University of California, Santa Barbara. Rainfall data is derived from the CHIRPS rainfall estimate, produced by the Climate At the subnational level, only the administrative divisions which are fully contained within those limits, have data to display. Hence a rainfall plot for the Russian Federation will refer only to the part of the country south of 50N.
Countries which extend beyond these geographical limits will be partially included up to those limits. The primary data sources are CHIRPS gridded rainfall dataset produced by the Climate Hazards Group at the University of California, Santa Barbara and the MODIS NDVI CMG data made available by NOAA-NASA.ĭata coverage is limited to countries within 50N to 50S.
#Noaa environmental visualization download#
Users can download time series datasets for a near-global set of administrative divisions, going back to 1981 for rainfall and 2002 for vegetation. This system will allow users to assess the performance of the current and past rainfall seasons, the timing and intensity of drier or wetter than average conditions and their impact on vegetation status at the subnational level for most countries. We are very pleased to announce the launch of the WFP-VAM Data Visualization platform for monitoring the performance of the agricultural seasons.
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