20260526
14212100
1.0
FALSE
CreateMosaicDataset \\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\ortoimagenCO.gdb OrtoCO2025 GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] 4 8_BIT_UNSIGNED NATURAL_COLOR_RGBI "Red 630 690;Green 530 570;Blue 440 510;Infrared 770 830"
AddRastersToMosaicDataset \\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\ortoimagenCO.gdb\OrtoCO2025 "Raster Dataset" \\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\OrtoCerrosOrientales2025_COG.tif UPDATE_CELL_SIZES NO_BOUNDARY NO_OVERVIEWS # 0 1500 # # SUBFOLDERS ALLOW_DUPLICATES NO_PYRAMIDS NO_STATISTICS NO_THUMBNAILS # NO_FORCE_SPATIAL_REFERENCE NO_STATISTICS # USE_PIXEL_CACHE \\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\pixel_cache
SetRasterProperties \\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\ortoimagenCO.gdb\OrtoCO2025 # # # "1 255;2 255;3 255;4 255" # #
OrtoCO2025
file://\\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\ortoimagenCO.gdb
Local Area Network
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4.460067
4.826182
1
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.4.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
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NaturalColorRGBI
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<_docversion_ Sync="TRUE">10
Name,MinPS,MaxPS,LowPS,HighPS,Tag,GroupName,ProductName,CenterX,CenterY,ZOrder,Shape_Length,Shape_Area
3.59326113647809E-04
2.2457882102988E-06
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\\idecafs1\imagenes2\ProductosRaster\Ortoimagenes\OrtoCerrosOrientales2025\pixel_cache
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20260526
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ISO19139
dataset
Secretaría Distrital de Planeación
Subsecretaría de Información
+57 (601) 3358000
Cra. 30 No. 25-90
Bogotá D.C.
Cundinamarca
111311
CO
Lunes a viernes de 6:00 a.m. a 5:30 p.m.
20260526
ArcGIS Metadata
1.0
orthocerros2025funcion
OrtoCerrosOrientales2025
2025-02-14
2025-12-18
Secretaría Distrital de Planeación
Subsecretaría de Información
+57 (601) 3358000
Cra. 30 No. 25-90
Bogotá D.C.
Cundinamarca
111311
CO
Sistemas de Información Geográfica de Latinoamérica (SIGLA S.A.S.)
Grupo de Producción
+57 (601) 7293735
Carrera 47 No. 106-08
Bogotá D.C.
Cundinamarca
111111
CO
info@sigla-sas.com
<div style='text-align:Left;'><div><div><p><span>Este conjunto de datos contiene el mosaico de ortoimágenes de los Cerros Orientales de Bogotá D.C. El producto fue recibido de la Secretaría Distrital de Planeación (SDP), en el marco de la entrega de productos de cartografía básica adquiridos por la entidad. La documentación técnica del proyecto identifica el área de los Cerros Orientales a escala 1:5.000, con un área de proyecto de 15.215 ha aproximadamente. El ráster fuente OrtoCerrosOrientales2025 tiene tamaño de pixel de 0,25 m y se documenta en este mosaico como GSD 25 cm. Los insumos fueron capturados el 14 de febrero de 2025 mediante sistema combinado Riegl VQ580II y cámara Phase One iXM-RS 150F. El sistema de referencia original corresponde a Transverse Mercator local documentado en OrtoCerrosOrientales2025.prj; el mosaic dataset fue creado en GCS WGS 1984 (EPSG:4326). El producto contiene 4 bandas de 8 bits (RGBI). El valor NoData del producto es blanco 255 y el boundary/footprint del mosaic dataset fue construido con GDAL a partir de los pixeles distintos de 255.</span></p></div></div></div>
Servir como insumo cartográfico básico para análisis territorial, planificación, ordenamiento, estudios ambientales y generación de productos derivados sobre los Cerros Orientales de Bogotá D.C.
Producto entregado por la Secretaría Distrital de Planeación (SDP). Generación y procesamiento técnico reportados por Sistemas de Información Geográfica de Latinoamérica (SIGLA S.A.S.).
Secretaría Distrital de Planeación
Subsecretaría de Información
+57 (601) 3358000
Cra. 30 No. 25-90
Bogotá D.C.
Cundinamarca
111311
CO
República de Colombia
Cundinamarca
Bogotá D.C.
Cerros Orientales
Ortoimagen
Ortofotomosaico
Ortofoto
Mosaico
Fotogrametría
LiDAR
República de Colombia
Cundinamarca
Bogotá D.C.
Cerros Orientales
Ortoimagen
Ortofotomosaico
Ortofoto
Mosaico
Fotogrametría
LiDAR
<div style='text-align:Left;'><div><div><p><span>CC BY 4.0</span></p></div></div></div>
true
-74.091837
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4.460067
4.826182
Microsoft Windows Server 2016 Technical Preview Version 10.0 (Build 20348) ; Esri ArcGIS 13.4.0.55405
1
-74.091837
-73.989982
4.826182
4.460067
El mosaic dataset se construyó a partir del raster fuente OrtoCerrosOrientales2025.tif recibido de la SDP. El TIFF fuente cuenta con pirámides y estadísticas calculadas; el proceso de publicación en mosaic dataset agregó el raster en EPSG:4326, definió NoData 255 para las 4 bandas, omitió overviews del mosaic por usar pirámides internas del TIFF, registró las funciones raster urbanas equivalentes y generó el footprint y boundary con GDAL a resolución completa, considerando como dato todo pixel con al menos una banda distinta de 255.
EPSG
6.2(3.0.1)
2
1
0
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Red
8
1
1
Green
8
2
2
Blue
8
3
3
Infrared
8
4
4
cerros orientales
False
False
False
False
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