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USGS High Resolution Orthoimagery, Minneapolis-St. Paul, Minnesota, Spring 2004

This dataset consists of 0.3-meter pixel resolution (approximately 1-foot), natural color orthoimages covering the Minneapolis-St. Paul urban area footprint.<br/><br/>An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map. <br/><br/>This metadata record was reformatted at the Minnesota Geospatial Information Office from the record provided by USGS - several of the fields were changed to reflect MnGeo's seamless web mapping service (WMS) data delivery.
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Additional Info

Field Nilai
dsAccessConst Any downloading and use of these data signifies a user's agreement to comprehension and compliance of the USGS Standard Disclaimer. Insure all portions of metadata are read and clearly understood before using these data in order to protect both user and USGS interests.
dsCurrentRef 2004
dsMetadataUrl https://resources.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_mngeo/base_usgs_msp_2004_airphotos/metadata/metadata.html
dsModifiedDate 2024-07-09 00:05:44
dsOriginator National Geospatial-Intelligence Agency (NGA), U.S. Geological Survey (USGS)
dsPeriodOfContent 4/24/2004
dsPurpose These data have been created as a result of the need for having geospatial data immediately available and easily accessible in order to enhance the capability of Federal, State, and local emergency responders, as well as plan for homeland security efforts.

Data_Set_Credit: This dataset was created in support of the National Geospatial-Intelligence Agency (NGA) and the USGS. The data will support NGA's Homeland Security mission and The National Map of the USGS. The following companies produced the data to support this task - 3001, Inc. EarthData International of Maryland, LLC
gdrsDsGuid {0189b4d6-fd6e-4998-b037-02c52f6807f3}
spatial {"type":"Polygon","coordinates":[[[-93.52, 44.74],[-93.52, 45.26], [-92.75, 45.26], [-92.75, 44.74], [-93.52, 44.74]]]}

Dataset extent

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