served from IRI/LDEO Climate Data Library
NASA GES-DAAC PAL vegetation continent south_america NDVI: Normalized Difference Vegetation Index data
vegetation continent south_america Normalized Difference Vegetation Index from NASA GES-DAAC PAL: Vegetation data by continent from Pathfinder AVHRR.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (13-20 Jul 1981) (21-31 Jul 1981) (1-10 Aug 1981) ... (21-30 Sep 2001)] N= 728 pts :grid
- x
- grid: /x (unitless) ordered (1.0) to (690.0) by 1.0 N= 690 pts :grid
- y
- grid: /y (unitless) ordered (1.0) to (970.0) by 1.0 N= 970 pts :grid
Other Info
- add_offset
- -1.024
- bufferwordsize
- 1
- CE
- 0.916
- colorscalename
- NDVIcolorscale
- CS
- -0.1
- datatype
- stringtype
- iridl:hasSemantics
- iridl:South_America
iridl:NDVI - maxncolor
- 254
- projection
- Interrupted Goode Homolosine
- scale_factor
- 0.008
- scale_max
- 14568.499
- scale_min
- -1306.4999
- units
- unitless
- valid_max
- 255
- valid_min
- 3
- colorscale
References
Brown_etal1985Rao, C.R.N. 1993a. Nonlinearity corrections for the thermal infrared channels of the Advanced Very High Resolution Radiometer: assessment and recommendations. NOAA Technical Report NESDIS-69. NOAA/NESDIS. Washington, DC.
Rao, C.R.N. 1993b. Degradation of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on the NOAAP9 spacecraft: assessment and recommendations for corrections. NOAA Technical Report NESDIS- 70. NOAA/NESDIS. Washington, DC.
Staylor1990
Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours| T | x | y | |
 NASA GES-DAAC PAL vegetation continent south_america NDVI[ 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