served from IRI/LDEO Climate Data Library
UMD GLCF GIMMS NDVIg global flag: flag data
GLCF GIMMS NDVIg global flag from UMD: University of Maryland.Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01 00:00:00) ordered [ (1-15 Jul 1981) (16-31 Jul 1981) (1-15 Aug 1981) ... (16-31 Dec 2006)] N= 612 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.9957W) to (179.9957W) by 0.07274197 N= 4950 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.22292N) to (62.84981S) by 0.07276207 N= 2091 pts :grid
Other Info
| Key | |
|---|---|
| 0 | Good value |
| 1 | Good value, possibly snow |
| 2 | NDVI retrieved from spline interpolation |
| 3 | NDVI retrieved from spline interpolation, possibly snow |
| 4 | NDVI retrieved from average seasonal profile |
| 5 | NDVI retrieved from average seasonal profile, possibly snow |
| 6 | missing data |
- bufferwordsize
- 2
- datatype
- shortarraytype
- scale_max
- 6
- scale_min
- 0
- units
- ids
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: Wed, 13 Feb 2019 20:27:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 UMD GLCF GIMMS NDVIg global flag[ X Y | T] | M | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units