data: USGS LandDAAC uyNDVI_sp NDVI

served from dlibrary.snia.gub.uy

USGS LandDAAC uyNDVI_sp NDVI_SP: NDVI por Seccional Policial data

USGS LandDAAC uyNDVI_sp NDVI por Seccional Policial from SOURCES: datos de MGAP SNIA prueba.

Independent Variables (Grids)

depto_sec: grid: /depto_sec (ids) unordered [ (0101) (0102) (0103) ... (1911)] N= 276 pts :grid
Time (time): grid: /T (days since 2003-01-01) ordered [ (18 Feb 2000 - 4 Mar 2000) (5-20 Mar 2000) (21 Mar 2000 - 5 Apr 2000) ... (10-25 Jun 2025)] N= 583 pts :grid

Other Info

CE: 1.0
colorscalename: ndvi_colorsMODIS
CS: -0.2
datatype: realarraytype
maxncolor: 254
missing_value: NaN
pointwidth: 0
SpatialReferenceSystemDims: X
Y
SpatialReferenceSystemWKT: GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]
units: unitless
history: Boxes with less than 0.0% dropped
colorscale

Last updated: Sat, 28 Jun 2025 08:26:02 GMT
Expires: Tue, 15 Jul 2025 00:00:00 GMT

Data Views

	depto_sec	T
USGS LandDAAC uyNDVI_sp[NDVI_SP the_geom label ]
USGS LandDAAC uyNDVI_sp NDVI_SP[ \| depto_sec T]	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 depto_sec T
Differentiate along depto_sec T
Take differences along depto_sec T