data: root mean sq [ USGS LandDAAC uyNDVI_sp NDVI

served from dlibrary.snia.gub.uy

root mean sq [ USGS LandDAAC uyNDVI_sp NDVI_SP ]: NDVI por Seccional Policial data

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

Independent Variables (Grids)

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

bufferwordsize

CE

null

colorscalename

ndvi_colorsMODIS

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

pointwidth

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

root mean sq [ USGS LandDAAC uyNDVI_sp NDVI_SP ]

Boxes with less than 0.0% dropped
Averaged over depto_sec[0101, 1911] minimum 0.0% data present

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

Data Views

	T
USGS LandDAAC uyNDVI_sp[NDVI_SP the_geom label ]
root mean sq [ USGS LandDAAC uyNDVI_sp NDVI_SP ][ \| T]	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 T
Differentiate along T
Take differences along T