data: UMD GLCF GLCDS lc

served from IRI/LDEO Climate Data Library

UMD GLCF GLCDS lc: land cover data

land cover from UMD GLCF GLCDS: Gridded 1-km global land cover data set from the University of Maryland.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (179.9958W) to (179.9958E) by 0.008333334 N= 43200 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.99583N) to (89.99583S) by 0.008333334 N= 21600 pts :grid

Other Info

Key
0.0	water
1.0	Evergreen Needleleaf Forest
2.0	Evergreen Broadleaf Forest
3.0	Deciduous Needleleaf Forest
4.0	Deciduous Broadleaf Forest
5.0	Mixed Forest
6.0	Woodland
7.0	Wooded Grassland
8.0	Closed Shrubland
9.0	Open Shrubland
10.0	Grassland
11.0	Cropland
12.0	Bare Ground
13.0	Urban and Built-up

bufferwordsize: 1
CE: 13
CS: 0
datatype: stringtype
iridl:hasSemantics: iridl:LandCover
maxncolor: 17
scale_max: 13.0
scale_min: 0.0
units: ids
colorscale

References

Hansen, M., DeFries, R., Townshend, J. R. G. and Sohlberg, R.. 1998. (specify 1 Degree, 8 Km, or 1 Km) Land Cover Classification Derived from AVHRR. College Park, Maryland: The Global Land Cover Facility.

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	X	Y
UMD GLCF GLCDS lc[ 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

Average over X Y | 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