20210123
08582200
1.0
FALSE
HUACHI.tif
002
759267.996083
766938.696083
9851482.331313
9858393.131313
1
Projected
GCS_SIRGAS
Linear Unit: Meter (1.000000)
SIRGAS_1995_UTM_zone_17S
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.1'><WKT>PROJCS["SIRGAS_1995_UTM_zone_17S",GEOGCS["GCS_SIRGAS",DATUM["D_SIRGAS",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["false_easting",500000.0],PARAMETER["false_northing",10000000.0],PARAMETER["central_meridian",-81.0],PARAMETER["scale_factor",0.9996],PARAMETER["latitude_of_origin",0.0],UNIT["Meter",1.0]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>1900</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
8
FALSE
None
4
TIFF
TRUE
continuous
unsigned integer
0
20210731
19561300
20210731
19561300
Version 6.2 (Build 9200) ; Esri ArcGIS 10.2.0.3370
HUACHI.tif
1
-78.670092
-78.601140
-1.280030
-1.342566
ACTUALIZACION IMAGEN 2024
ACTUALIZACION IMAGEN 2024
2024
Raster Dataset
dataset
2
1
0
759267.996083 9851482.331313
759267.996083 9858393.131313
766938.696083 9858393.131313
766938.696083 9851482.331313
763103.346083 9854937.731313
25569
0.300000
23036
0.300000
Band_1
255.000000
1.000000
8
Band_2
255.000000
3.000000
8
Band_3
255.000000
1.000000
8
Band_4
251.000000
3.000000
8
20210731
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