data: min [ USGS LandDAAC uyNDVI_sp NDVI

served from dlibrary.snia.gub.uy

min [ 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. is

Independent Variables (Grids)

Other Info

CE

1.0

colorscalename

ndvi_colorsMODIS

CS

-0.2

datatype

realarraytype

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

min [ USGS LandDAAC uyNDVI_sp NDVI_SP ]

Boxes with less than 0.0% dropped
min over depto_sec[0101, 1911] T[18 Feb 2000 - 4 Mar 2000, 10-25 Jun 2025]

colorscale

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

Data Views

colors with coasts

USGS LandDAAC uyNDVI_sp[ ]

[ |]

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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units