1 dataset found
  1. Oregon Department of Geology and Mineral Industries Lidar Program Data

    • s.cnmilf.com
    • portal.opentopography.org
    • +2more
    Updated Nov 12, 2020
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    Oregon Lidar Consortium (Originator); null (Originator); Oregon Department of Geology and Mineral Industries (Originator); Watershed Sciences, Inc (Originator) (2020). Oregon Department of Geology and Mineral Industries Lidar Program Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/oregon-department-of-geology-and-mineral-industries-lidar-program-data
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    Oregon Department of Geology and Mineral Industrieshttp://www.oregongeology.org/sub/default.htm
    Area covered
    Oregon
    Description

    DOGAMI has been supervising and coordinating the collection of large swaths of high resolution, high accuracy lidar data in Oregon and adjacent states since 2006. Following a successful 2500 mi2 consortium effort in the Portland urban area, the Oregon legislature designated DOGAMI as the lead agency for lidar acquisition in Oregon. DOGAMI used a nationwide selection process that resulted in a state price agreement (OPA 8865) with Watershed Sciences Inc. of Corvallis, Oregon. The price agreement specifies data collection (8 pulse/m2, Zerror 2, has taken final delivery of 16,000 mi2 of data. Funding for these projects has come from consortia organized by DOGAMI that include several dozen Federal, State and local government agencies, non-profits and public utilities. The data quality for all projects that DOGAMI has completed under OPA 8865 has been consistently excellent, substantially exceeding the minimum specifications. All DOGAMI lidar data is in the public _domain, please reference DOGAMI as the data source. All DOGAMI lidar program data are systematically evaluated for: Completeness and useability by loading all files; swath to swath consistency by using TerraMatch to compare elevations of millions of coincident points from adjacent swaths, all values to date < 5cm; absolute vertical accuracy by comparing delivered DEMs to an large independent set of RTK GPS control points collected by DOGAMI, all values to date < 7cm RMSE; grid artifacts by visual examination of hillshade and slopeshade images of all bare earth and highest hit DEMs.

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Oregon Lidar Consortium (Originator); null (Originator); Oregon Department of Geology and Mineral Industries (Originator); Watershed Sciences, Inc (Originator) (2020). Oregon Department of Geology and Mineral Industries Lidar Program Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/oregon-department-of-geology-and-mineral-industries-lidar-program-data
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Oregon Department of Geology and Mineral Industries Lidar Program Data

Explore at:
Dataset updated
Nov 12, 2020
Dataset provided by
Oregon Department of Geology and Mineral Industrieshttp://www.oregongeology.org/sub/default.htm
Area covered
Oregon
Description

DOGAMI has been supervising and coordinating the collection of large swaths of high resolution, high accuracy lidar data in Oregon and adjacent states since 2006. Following a successful 2500 mi2 consortium effort in the Portland urban area, the Oregon legislature designated DOGAMI as the lead agency for lidar acquisition in Oregon. DOGAMI used a nationwide selection process that resulted in a state price agreement (OPA 8865) with Watershed Sciences Inc. of Corvallis, Oregon. The price agreement specifies data collection (8 pulse/m2, Zerror 2, has taken final delivery of 16,000 mi2 of data. Funding for these projects has come from consortia organized by DOGAMI that include several dozen Federal, State and local government agencies, non-profits and public utilities. The data quality for all projects that DOGAMI has completed under OPA 8865 has been consistently excellent, substantially exceeding the minimum specifications. All DOGAMI lidar data is in the public _domain, please reference DOGAMI as the data source. All DOGAMI lidar program data are systematically evaluated for: Completeness and useability by loading all files; swath to swath consistency by using TerraMatch to compare elevations of millions of coincident points from adjacent swaths, all values to date < 5cm; absolute vertical accuracy by comparing delivered DEMs to an large independent set of RTK GPS control points collected by DOGAMI, all values to date < 7cm RMSE; grid artifacts by visual examination of hillshade and slopeshade images of all bare earth and highest hit DEMs.

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