served from IRI/LDEO Climate Data Library
∂x [ USGS ADDS NDVI NDVIg dekadal maximum NDVI ]: ∂x Normalized Difference Vegetation Index data
NDVI ∂x Normalized Difference Vegetation Index from USGS ADDS NDVI NDVIg dekadal maximum: Dekadal NDVIg data.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jul 1981) (11-20 Jul 1981) (21-31 Jul 1981) ... (21-31 Dec 2008)] N= 990 pts :grid
- x (projection_x_coordinate)
- grid: /x (m) ordered (-4600000.0 m) to (4600000.0 m) by 8000.0 N= 1151 pts :grid
- y (projection_y_coordinate)
- grid: /y (m) ordered (4604000.0 m) to (-4604000.0 m) by 8000.0 N= 1152 pts :grid
Other Info
- CE
- 1.0
- CS
- 0.0
- datatype
- realarraytype
- grid_mapping
- Projection
- iridl:hasSemantics
- iridl:NDVI
- maxncolor
- 254
- missing_value
- NaN
- SpatialReferenceSystemDims
- x
y - SpatialReferenceSystemWKT
- PROJCS["Albers_Equal_Area_Conic",GEOGCS["GCS_North_American_1927",DATUM["D_North_American_1927",SPHEROID["Clarke_1866",6378206.4,294.9786982]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],PROJECTION["Albers"],PARAMETER["False_Easting",0],PARAMETER["False_Northing",0],PARAMETER["Central_Meridian",20],PARAMETER["Standard_Parallel_1",21],PARAMETER["Standard_Parallel_2",-19],PARAMETER["Latitude_Of_Origin",1],UNIT["Meter",1]]
- standard_name
- normalized_difference_vegetation_index
- units
- meter-1
- colorscale
References
Tucker_etal2005Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | x | y | |
 $partialdiff sub x$ [ USGS ADDS NDVI NDVIg dekadal maximum NDVI ][ x y | T] | M | M | M |
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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