data: mean [ USGS LandDAAC uy_NDWI_SP NDWI

served from dlibrary.snia.gub.uy

mean [ USGS LandDAAC uy_NDWI_SP NDWI_SP ]: NDWI por Seccional Policial data

USGS LandDAAC uy_NDWI_SP NDWI_SP NDWI 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) ... (22 Mar 2025 - 6 Apr 2025)] N= 578 pts :grid

Other Info

add_offset_err

0.0

bufferwordsize

calibrated_nt

CE

null

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

pointwidth

scale_factor_err

0.0

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

valid_range

0
10000

history

USGS LandDAAC uy_NDWI_SP NDWI_SP

Boxes with less than 0.0% dropped
Boxes with less than 0.0% dropped

mean [ USGS LandDAAC uy_NDWI_SP NDWI_SP ]

Averaged over depto_sec[0101, 1911] minimum 0.0% data present

Last updated: Fri, 11 Apr 2025 08:25:46 GMT
Expires: Sat, 26 Apr 2025 00:00:00 GMT

Data Views

	T
mean [ USGS LandDAAC uy_NDWI_SP NDWI_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