data: UMD GLCF GIMMS NDVIg global sat

served from IRI/LDEO Climate Data Library

UMD GLCF GIMMS NDVIg global sat: NOAA satellite data

GLCF GIMMS NDVIg global NOAA satellite from UMD: University of Maryland.

Independent Variables (Grids)

Time (time): grid: /T (days since 1981-01-01 00:00:00) ordered [ (0000 1 Jul 1981) (0000 1 Mar 1985) (0000 1 Nov 1988) (0000 1 Sep 1994) (0000 16 Jan 1995) (0000 1 Nov 2000) (0000 1 Jan 2004)] :grid

Other Info

datatype: namearraytype
units: unitless

References

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. A. Slayback, E. W. Pak, R. Mahoney, E. F. 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.

Last updated: Mon, 16 Feb 2015 21:51:22 GMT

Data Views

	T
UMD GLCF GIMMS NDVIg global sat[ T \|]	M

Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along T
Differentiate along T
Take differences along T