1:100k Digital Raster Graphic - Collars Removed
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Static Preview - Sample ImageJPEG
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File Geodatabase: full statewide rasterHTML
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Full Metadata RecordHTML
Additional Info
dsAccessConst | None |
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dsCurrentRef | Ground condition on the date of field checking or source aerial photographic materials as documented in the collar information on the printed USGS topographic map (to see the collar area, refer either to the printed topographic quad or to the original USGS DRG). Several dates appear on published USGS quads. The most prominent, and most widely referenced, is printed on the lower right corner of the map. This is usually the year the map was published or revised. In the smaller print along the bottom of the map are other dates for the year of field checking, year of photography, year of survey, or other dates for important work on the map. These dates can be same as the year of publication or up to several years earlier. |
dsMetadataUrl | https://resources.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_dnr/base_usgs_scanned_topo_100k_drg/metadata/metadata.html |
dsModifiedDate | 2023-04-18 00:20:06 |
dsOriginator | U.S. Geological Survey (USGS) and Minnesota Department of Natural Resources (DNR) |
dsPurpose | The DRG is used for validating digital line graphs (DLGs) and for DLG data collection and revision. The DRG can help assess the completeness of digital data from other mapping agencies. It can also be used to produce hybrid products. These include combined DRGs and DOQs for revising and collecting digital data, DRGs and DEMs for creating shaded-relief DRGs, and combinations of DRG, DOQ, and DLG data. Although a standard DRG is an effective mapping tool, its full potential for digital production is realized in combination with other digital data. Clipping the collar information allows seamless viewing of adjacent DRGs. Standardizing the UTM zone and the datum matches the data with many other statewide datasets available in Minnesota. |
gdrsDsGuid | {62414156-abdf-4778-a1da-d4c635ecde67} |
spatial | {"type":"Polygon","coordinates":[[[-97.612501, 42.906949],[-97.612501, 49.464145], [-88.842351, 49.464145], [-88.842351, 42.906949], [-97.612501, 42.906949]]]} |
Dataset extent
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