Global Inventory Modeling and Mapping Studies (GIMMS) Satellite Drift Corrected and NOAA-16 incorporated Normalized Difference Vegetation Index (NDVI), Monthly 1981-2006

For documentation, see the following web page: and the following PDF document:

The GIMMS (Global Inventory Modeling and Mapping Studies) data set is a normalizeed difference vegetation index (NDVI) product available for a 25 year period spanning from 1981 to 2006. The data set is derived from imagery obtained from the Advanced Very High Resolution Radiometer (AVHRR) instrument onboard the NOAA satellite series 7, 9, 11, 14, 16, and 17. This is an NDVI dataset that has been corrected for calibration, view geometry, volcanic aerosols, and other effects not related to vegetation change.

The current release of this data set, added to the Data Library on 06 August 2010, contains NDVIg data on a global geographic projection (evenly spaced in latitude and longitude) for the period July 1981 to December 2006. The previous release of this data set in the Data Library included the period July 1981 to December 2003. For each gridpoint there are two values per month, the maximum NDVI value for the first fifteen days of the month, and the maximum value for the remainder of the month. Please see the documentation indicated above for more details.

How to cite this data set:

Citation Format: Author (Publication Date), Collection Name, Product Name, Processing Level, Publisher, Publisher Location, Product Coverage Date.

Citation Parameters Example

Full Example Citation: Tucker, C. J., J. E. Pinzon, and M. E. Brown (2004), Global Inventory Modeling and Mapping Studies, NA94apr15b.n11-VIg, 2.0, Global Land Cover Facility, University of Maryland, College Park, Maryland, 04/15/1994.

Associated Peer-Reviewed Publications (cite these publications whenever the data are used):

Pinzon, J., Brown, M. E. and Tucker, C. J., 2005. Satellite time series correction of orbital drift artifacts using empirical mode decomposition. In: N. Huang (Editor), Hilbert-Huang Transform: Introduction and Applications, pp. 167-186.

Tucker, C. J., J. E. Pinzon, M. E. Brown, D. Slayback, E. W. Pak, R. Mahoney, E. Vermote and N. El Saleous (2005), An Extended AVHRR 8-km NDVI Data Set Compatible with MODIS and SPOT Vegetation NDVI Data. International Journal of Remote Sensing, Vol 26:20, pp. 4485-4498 .

Intellectual Property Rights
University of Maryland; Department of Geography; use is free to all if acknowledgement is made. UMD holds ultimate copyright.

As a courtesy, please credit the Global Land Cover Facility (GLCF) as the source for this data set in some manner.