served from IRI/LDEO Climate Data Library
NASA ISLSCP GDSLAM Vegetation class
class from NASA ISLSCP GDSLAM Vegetation: Global data sets for land-atmosphere models, including the Normalized Difference Vegetation Index and other vegetation data parameters.Documents
| dataset documentation |
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) periodic (179.5W) to (179.5E) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (89.5N) to (89.5S) by 1.0 N= 180 pts :grid
Other Info
| Key | |
|---|---|
| 0 | water |
| 1 | broadleaf evergreen forest |
| 2 | broadleaf deciduous |
| 3 | mixed coniferous/broadleaf deciduous |
| 4 | coniferous forest and woodland |
| 5 | high latitude deciduous |
| 6 | forest and woodland |
| 7 | wooded c4 grassland |
| 8 | c4 grassland |
| 9 | shrubs and bare ground |
| 10 | tundra |
| 11 | desert, bare ground |
| 12 | cultivation |
| 13 | ice |
| 14 | c3 wooded grassland |
| 15 | c3 grassland |
- scale_max
- 15
- scale_min
- 0
- units
- ids
Last updated: Mon, 12 Sep 2016 21:16:01 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 NASA ISLSCP GDSLAM Vegetation class[ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units