20240924 17580700 1.0 TRUE CopyMultiple "\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Chugach_1m_2006_Pan MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Chugach_NF_30cm_2020 MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Chugach_NF_60cm_2010_4Band MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Chugach_NF_MultiRes_2016_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_1m_2006_2008_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_1m_2006Census_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_2m_1996to1998_Pan MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_30cm_2009_2010_4Band MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_HeenLatinee_30cm_2012_4band MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_Juneau_30cm_2006_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_MultiRes_2013_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_MultiRes_2014_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_MultiRes_2015_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_MultiRes_2016_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_MultiRes_2017_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_NF_MultiRes_2018_RGB MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_Tongass_PrinceOfWales_KetchikanMisty_30cm_2019_VNIR MosaicDataset;\\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_MDS\Region10.gdb\AK_YukonFlats_NWR_1m_2011_4band MosaicDataset" \\usda.net\fs\FS\GTAC_1\ERDM\Prod\erdm_prod0\FGDB_Public_Services\fsgisx03\Region_10.gdb AK_Chugach_1m_2006_Pan;AK_Chugach_NF_30cm_2020;AK_Chugach_NF_60cm_2010_4Band_1;AK_Chugach_NF_MultiRes_2016_RGB;AK_Tongass_NF_1m_2006_2008_RGB;AK_Tongass_NF_1m_2006Census_RGB;AK_Tongass_NF_2m_1996to1998_Pan;AK_Tongass_NF_30cm_2009_2010_4Band;AK_Tongass_NF_HeenLatinee_30cm_2012_4band;AK_Tongass_NF_Juneau_30cm_2006_RGB;AK_Tongass_NF_MultiRes_2013_RGB;AK_Tongass_NF_MultiRes_2014_RGB;AK_Tongass_NF_MultiRes_2015_RGB;AK_Tongass_NF_MultiRes_2016_RGB;AK_Tongass_NF_MultiRes_2017_RGB;AK_Tongass_NF_MultiRes_2018_RGB;AK_Tongass_PrinceOfWales_KetchikanMisty_30cm_2019_VNIR;AK_YukonFlats_NWR_1m_2011_4band "AK_Chugach_1m_2006_Pan MosaicDataset AK_Chugach_1m_2006_Pan #;AK_Chugach_NF_30cm_2020 MosaicDataset AK_Chugach_NF_30cm_2020 #;AK_Chugach_NF_60cm_2010_4Band MosaicDataset AK_Chugach_NF_60cm_2010_4Band_1 #;AK_Chugach_NF_MultiRes_2016_RGB MosaicDataset AK_Chugach_NF_MultiRes_2016_RGB #;AK_Tongass_NF_1m_2006_2008_RGB MosaicDataset AK_Tongass_NF_1m_2006_2008_RGB #;AK_Tongass_NF_1m_2006Census_RGB MosaicDataset AK_Tongass_NF_1m_2006Census_RGB #;AK_Tongass_NF_2m_1996to1998_Pan MosaicDataset AK_Tongass_NF_2m_1996to1998_Pan #;AK_Tongass_NF_30cm_2009_2010_4Band MosaicDataset AK_Tongass_NF_30cm_2009_2010_4Band #;AK_Tongass_NF_HeenLatinee_30cm_2012_4band MosaicDataset AK_Tongass_NF_HeenLatinee_30cm_2012_4band #;AK_Tongass_NF_Juneau_30cm_2006_RGB MosaicDataset AK_Tongass_NF_Juneau_30cm_2006_RGB #;AK_Tongass_NF_MultiRes_2013_RGB MosaicDataset AK_Tongass_NF_MultiRes_2013_RGB #;AK_Tongass_NF_MultiRes_2014_RGB MosaicDataset AK_Tongass_NF_MultiRes_2014_RGB #;AK_Tongass_NF_MultiRes_2015_RGB MosaicDataset AK_Tongass_NF_MultiRes_2015_RGB #;AK_Tongass_NF_MultiRes_2016_RGB MosaicDataset AK_Tongass_NF_MultiRes_2016_RGB #;AK_Tongass_NF_MultiRes_2017_RGB MosaicDataset AK_Tongass_NF_MultiRes_2017_RGB #;AK_Tongass_NF_MultiRes_2018_RGB MosaicDataset AK_Tongass_NF_MultiRes_2018_RGB #;AK_Tongass_PrinceOfWales_KetchikanMisty_30cm_2019_VNIR MosaicDataset AK_Tongass_PrinceOfWales_KetchikanMisty_30cm_2019_VNIR #;AK_YukonFlats_NWR_1m_2011_4band MosaicDataset AK_YukonFlats_NWR_1m_2011_4band #" Imagery acquired with airborne sensors contain camera and terrain related distortions which makes the images unsuitable for geospatial analysis as positions within the image may be significantly inaccurate. A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the image characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital Orthoimages formatted in quarter quarter quadrangle extents are known as Digital Orthophoto Quarter Quarter Quadrangles, or DOQQQs. Digital Orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to field Standards for Digital Orthophotos references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also they can be used as map layers in GIS or other computer based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on the map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original satellite imagery. r10 Region 10; AK; Chugach 2016; RGB; 3 band; Resource Photo Imagery acquired with airborne sensors contain camera and terrain related distortions which makes the images unsuitable for geospatial analysis as positions within the image may be significantly inaccurate. A digital orthophoto is a georeferenced image prepared from aerial imagery, or other remotely-sensed data in which the displacement within the image due to sensor orientation and terrain relief has been removed. Orthophotos combine the image characteristics of an image with the geometric qualities of a map. Orthoimages show ground features such as roads, buildings, and streams in their proper positions, without the distortion characteristic of unrectified aerial imagery. Digital Orthoimages formatted in quarter quarter quadrangle extents are known as Digital Orthophoto Quarter Quarter Quadrangles, or DOQQQs. Digital Orthoimages produced and used within the Forest Service are developed from imagery acquired through various national and regional image acquisition programs. The resulting orthoimages, also known as orthomaps, can be directly applied in remote sensing, GIS and mapping applications. They serve a variety of purposes, from interim maps to field Standards for Digital Orthophotos references for earth science investigations and analysis. Because of the orthographic property, an orthoimage can be used like a map for measurement of distances, angles, and areas with scale being constant everywhere. Also they can be used as map layers in GIS or other computer based manipulation, overlaying, and analysis. An orthoimage differs from a map in a manner of depiction of detail; on the map only selected detail is shown by conventional symbols, whereas on an orthoimage all details appear just as in original satellite imagery. Chugach_NF_MultiRes_2016_RGB