served from IRI/LDEO Climate Data Library
∂Y [ UMD GLCF GLCDS lc ]: ∂Y land cover data
lc ∂Y 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 (89.99167N) to (89.99167S) by 0.008333334 N= 21599 pts :grid
Other Info
- CE
- 13
- CS
- 0
- datatype
- realarraytype
- iridl:hasSemantics
- iridl:LandCover
- maxncolor
- 17
- units
- ids /degree_north
- 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
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 $partialdiff sub Y$ [ 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
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