served from IRI/LDEO Climate Data Library
USGS LandDAAC MODIS 1km 8day version_005 Terra NSA Day LST
Day LST from USGS LandDAAC MODIS 1km 8day version_005 Terra NSA: Day and Night Land Surface Temperature of Northern South America.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 2003-01-01) ordered [ (5-12 Mar 2000) (13-20 Mar 2000) (21-28 Mar 2000) ... (22-29 Mar 2017)] N= 785 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (81.99583W) to (33.99789W) by 0.008348919 N= 5750 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.99583N) to (19.9991S) by 0.008348919 N= 3953 pts :grid
Other Info
- bufferwordsize
- 2
- CE
- 330
- CS
- 255
- datatype
- shortarraytype
- iridl:hasSemantics
- iridl:LandSurfaceTemperature
- maxncolor
- 254
- missing_value
- 0
- pointwidth
- 0
- scale_factor
- 0.02
- scale_max
- 16500.0
- scale_min
- 12750.0
- units
- Kelvin_scale
- valid_max
- 65535
- valid_min
- 7500
- standard units*
- degree_Kelvin above 0
- colorscale
References
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG 2002: Overview of the radiometric and biophysical performance of the MODIS vegetation indices, REMOTE SENSING OF ENVIRONMENT 83 (1-2): 195-213 NOV 2002Vancutsem, C., Ceccato, P., Dinku, T., Connor, S. J. (2010). Evaluation of MODIS land surface temperature data to estimate air temperature in different ecosystems over Africa. Remote Sensing of Environment, 114(2): 449-465.
Last updated: Tue, 08 Dec 2020 21:55:17 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 USGS LandDAAC MODIS 1km 8day version_005 Terra NSA Day LST[ 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