96 datasets found
  1. O

    Oregon Department of Geology and Mineral Industries Lidar Program Data

    • portal.opentopography.org
    • search.dataone.org
    • +2more
    point cloud data
    Updated Feb 1, 2011
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    OpenTopography (2011). Oregon Department of Geology and Mineral Industries Lidar Program Data [Dataset]. http://doi.org/10.5069/G9QC01D1
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    point cloud dataAvailable download formats
    Dataset updated
    Feb 1, 2011
    Dataset provided by
    OpenTopography
    Time period covered
    Mar 15, 2007 - Sep 3, 2010
    Area covered
    Variables measured
    Area, Unit, LidarReturns, PointDensity
    Dataset funded by
    Oregon Lidar Consortium
    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 < 12cm RMSE) and product standards (LAS points, 3ft or 1m bare earth and highest hit DEMs, 1.5ft intensity images, metadata) with a pre-determined unit cost to DOGAMI based on the size of the project area. Since developing OPA 8865 in April 2008, DOGAMI has ordered 13 large lidar flights, totaling 17,500 mi2, 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.

  2. 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • fisheries.noaa.gov
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    Updated Jun 15, 2017
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    OCM Partners (2017). 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Green Peter [Dataset]. https://www.fisheries.noaa.gov/inport/item/49930
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    htmlAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Sep 21, 2012 - Nov 27, 2012
    Area covered
    Description

    WSI collected Light Detection and Ranging (LiDAR) data of the Green Peter study area for the Oregon LiDAR Consortium (OLC) in Linn County, Oregon. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public.

    Between September 21st and November 27th, 2012 , WSI employed remote-...

  3. Data from: 2012 Oregon Department of Geology and Mineral Industries (DOGAMI)...

    • fisheries.noaa.gov
    geotiff
    Updated Jan 1, 2017
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    OCM Partners (2017). 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar DEM: Rogue River Oregon [Dataset]. https://www.fisheries.noaa.gov/inport/item/49406
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    geotiffAvailable download formats
    Dataset updated
    Jan 1, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Mar 8, 2012 - Aug 16, 2012
    Area covered
    Description

    The dataset encompasses portions of Coos, Curry, Douglas, Jackson, and Josephine Counties.The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 3 international feet. The elevation units are in in...

  4. 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated Mar 1, 2010
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    DOGAMI (Point of Contact) (2010). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Yambo Study Area [Dataset]. https://catalog.data.gov/no/dataset/2010-oregon-department-of-geology-and-mineral-industries-dogami-lidar-yambo-study-area-c78ce
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    Dataset updated
    Mar 1, 2010
    Dataset provided by
    Oregon Department of Geology and Mineral Industrieshttp://www.oregongeology.org/sub/default.htm
    Area covered
    Oregon
    Description

    The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected in 7 delivery areas from January 3 through July 14, 2010 and encompasses portions of the following counties in Oregon: Lincoln, Polk, Tillamook and Yamhill. This data set consists of bare earth and unclassified points. The average point density is 9.17 points per square meter over terrestrial surfaces. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected. This LiDAR data set was collected on different dates and organized into 7 deliveries. To determine which delivery or deliveries are in your area of interest, download yambo_deliveries.pdf at: ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/or/yambo/yambo_deliveries.pdf The specific date of collection and total area covered for each delivery are listed below. Delivery 1: Date of Collection: 20100414 Total Area = 10,760 sq acres Delivery 2: Date of Collection: 20100301-20100605 Total Area = 62,451 sq acres Delivery 3: Date of Collection: 20100507-20100714 Total Area = 122,938 sq acres Delivery 4: Date of Collection: 20100103-20100527 Total Area = 97,317 sq acres Delivery 5: Date of Collection: 20100103-20100527 Total Area = 147,839 sq acres Delivery 6: Date of Collection: 20100305-20100515 Total Area = 84,277 sq acres Delivery 7: Date of Collection: 20100317-20100714 Total Area = 167,271 sq acres

  5. 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • fisheries.noaa.gov
    geotiff
    Updated Jun 15, 2017
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    OCM Partners (2017). 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Four Rivers [Dataset]. https://www.fisheries.noaa.gov/inport/item/49454
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    geotiffAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Oct 10, 2014 - Jun 16, 2015
    Area covered
    Description

    WSI has completed the acquisition and processing of Light Detection and Ranging (LiDAR) data and Four-Band Radiometric Image Enhanced Survey (FRIES) of the Oregon LiDAR Consortiums's (OLC) Four Rivers Delivery Area Two, for the Oregon Department of Geology and Mineral Industries (DoGAMI). The OLC's Four Rivers study area encompasses 470,160 acres; Delivery Area One encompasses 80,071 acres, and...

  6. 2015 DOGAMI Lidar DEM: Big Windy

    • fisheries.noaa.gov
    geotiff
    Updated Jun 15, 2017
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    OCM Partners (2017). 2015 DOGAMI Lidar DEM: Big Windy [Dataset]. https://www.fisheries.noaa.gov/inport/item/49457
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    geotiffAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Jun 26, 2015 - Jul 3, 2015
    Area covered
    Description

    Quantum Spatial collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Big Windy 2015 study area. This study area is located near Glendale, Oregon. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public.

    In June 2015 QSI employed remote-se...

  7. w

    2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Newberry Study Area [Dataset]. https://data.wu.ac.at/schema/data_gov/OTc3NzZjY2YtNzQzMy00N2Q4LTljY2YtZGM0NjQ3YTg3ZTQ3
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    b099a12ad02a3f26db8252e3e89d485d96c6f57a
    Description

    The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected over three deliveries from May 28 - July 27, 2010 and encompasses portions of Deschutes, Klamath, and Lake counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.51 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 500 square miles (320,041 acres) and the total area flown (TAF) covers 506 square miles (324,020 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected. Dates of acquisition for the six deliveries that make up this data set. Delivery Area Acquisition Dates AOI Acres TAF Acres 1 May 28 - June 1, 2010 31,380 32,225 2 May 28 - July 27, 2010 159,215 160,744 3 May 28 - July 27, 2010 129,446 131,051

  8. A

    Oregon LIDAR DOGAMI

    • data.amerigeoss.org
    • data.wu.ac.at
    html
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). Oregon LIDAR DOGAMI [Dataset]. https://data.amerigeoss.org/fr/dataset/showcases/oregon-lidar-dogami
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    htmlAvailable download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    Area covered
    Oregon
    Description

    The Lidar Data Viewer interactive map shows the current extent of lidar data for the state of Oregon, including downloadable data by 7.5 minute USGS quadrangle. The data are maintained by the Oregon Department of Geology and Mineral Industries (DOGAMI).

  9. w

    2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Klamath Study Area [Dataset]. https://data.wu.ac.at/schema/data_gov/MzU1MjdmMDgtNGVkYi00NDEwLTliOTItNzlmMTNlZWRmMDg0
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    28004c8665cc388706fb28965e2006f6411c7501
    Description

    The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected over six deliveries from September 14 through October 27, 2010 and encompasses portions of Klamath and Lake counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.61 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 1054 square miles (674,756 acres) and the total area flown (TAF) covers 1083 square miles (692,999 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected. Dates of acquisition for the six deliveries that make up this data set. Delivery Area Acquisition Dates AOI Acres TAF Acres 1 Sept 14 - 22, 2010 104,196 106,995 2 Sept 20 - Oct 18, 2010 67,937 71,599 3 Sept 14 - Oct 16, 2010 127,789 131,580 4 Oct 6 - 27, 2010 155,387 157,875 5 Sept 23 - Oct 18, 2010 92,762 95,612 6 Sept 27 - Oct 16, 2010 126,685 129,338

  10. 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Mt....

    • fisheries.noaa.gov
    • data.wu.ac.at
    html
    Updated Jan 1, 2012
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    OCM Partners (2012). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Mt. Shasta Study Area [Dataset]. https://www.fisheries.noaa.gov/inport/item/49916
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    htmlAvailable download formats
    Dataset updated
    Jan 1, 2012
    Dataset provided by
    OCM Partners
    Time period covered
    Jul 5, 2010 - Sep 2, 2010
    Area covered
    Description

    The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals.

    This LiDAR data set was c...

  11. 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • fisheries.noaa.gov
    • data.wu.ac.at
    geotiff
    Updated Jun 15, 2017
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    OCM Partners (2017). 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Metro Portland, OR [Dataset]. https://www.fisheries.noaa.gov/inport/item/49455
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    geotiffAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Jul 9, 2014 - Sep 7, 2014
    Area covered
    Description

    The dataset encompasses 1221.6 square miles in portions of the greater Portland Metro area in the state of Oregon. The highest hit digital surface models (DSM) represent the earth's surface with all vegetation and human-made structures included. The highest hit DSMs were derived from lidar data using TIN processing of the all-return point cloud. The bare earth digital elevation model (DEM) repr...

  12. 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • catalog.data.gov
    Updated Mar 11, 2021
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    DOGAMI (Point of Contact) (2021). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Eagle Point Study Area [Dataset]. https://catalog.data.gov/dataset/2010-oregon-department-of-geology-and-mineral-industries-dogami-lidar-eagle-point-study-ar
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    Dataset updated
    Mar 11, 2021
    Dataset provided by
    Oregon Department of Geology and Mineral Industrieshttp://www.oregongeology.org/sub/default.htm
    Area covered
    Eagle Point, Oregon
    Description

    The Oregon Department of Geology and Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected from October 29 through November 4, 2010 and encompasses areas including and surrounding Eagle Point, Oregon and along the Rogue River in Jackson County. This data set consists of bare earth and unclassified points. The average pulse density is 8.08 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 203 square miles (129,628 acres) and the total area flown (TAF) covers 211 square miles (134,899 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected.

  13. w

    2008 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2008 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Camp Creek [Dataset]. https://data.wu.ac.at/schema/data_gov/ZmQ0ZTlhMmMtNjFhNi00NzQ2LTlhYzgtODEyMjFiZGViM2Zm
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administration, Department of Commerce
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    8bb953c81230ca3838181c5b7679b2a5dc444439
    Description

    The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic lidar data for multiple areas within the State of Oregon. The areas for lidar collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. The Camp Creek study area was collected August 19 - 27, 2008 and covers a portion of eastern Grant County. The total flown area covers 320 square miles, or 205,250 acres. This data set consists of bare earth and unclassified points. There are approximately 8 points per square meter over terrestrial surfaces. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the lidar data. Elevation values for open water surfaces are not valid elevation values because few lidar points are returned from water surfaces. Lidar intensity values were also collected.

  14. 2020 DOGAMI Lidar DEM: South Coast, OR

    • fisheries.noaa.gov
    geotiff +1
    Updated Jan 1, 2024
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    OCM Partners (2024). 2020 DOGAMI Lidar DEM: South Coast, OR [Dataset]. https://www.fisheries.noaa.gov/inport/item/74853
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    not applicable, geotiffAvailable download formats
    Dataset updated
    Jan 1, 2024
    Dataset provided by
    OCM Partners
    Time period covered
    Oct 14, 2020 - Oct 26, 2020
    Area covered
    Description

    Original Dataset Product: This GIS dataset contains Bare Earth (BE) raster grids depicting lidar-derived elevation data for 2020 Oregon Lidar Consortium South Coast 3DEP project area. Points that were determined to be geometrically invalid, or invalid surface returns, were removed from the data set. The nominal pulse density is eight pulses per square meter. The bare earth (BE) digital elevat...

  15. 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • fisheries.noaa.gov
    html
    Updated Jan 1, 2017
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    OCM Partners (2017). 2012 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Rogue River Oregon [Dataset]. https://www.fisheries.noaa.gov/inport/item/49606
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    htmlAvailable download formats
    Dataset updated
    Jan 1, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Mar 8, 2012 - Aug 16, 2012
    Area covered
    Description

    WSI has collected Light Detection and Ranging (LiDAR) data of the Rogue River Study Area for the Oregon Department of Geology and Mineral Industries (DOGAMI), encompassing portions of Coos, Curry, Douglas, Jackson, and Josephine Counties. The Oregon LiDAR Consortium's Rogue River project area encompasses approximately 1.4 million acres in the southwestern region of the state. The area includes...

  16. 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Big Windy [Dataset]. https://data.wu.ac.at/schema/data_gov/NjI5ZmZiNTItYmRlMy00ZDI1LWJkYTgtM2Q3NDNkYmU3NzU3
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    7d31ef58903a13bce7893a101ec2a45fb549632b
    Description

    In July of 2013, lightning strikes ignited three wildfires in southwest Oregon that became known as the Big Windy Complex. The fires were fully contained by the end of September after burning 27,555 acres of land owned by the Bureau of Land Management and protected by the Oregon Department of Forestry. WSI has collected Light Detection and Ranging (LiDAR) data for the BLM Fires study area for the Oregon Department of Geology and Mineral Industries (DOGAMI). The Oregon LiDAR Consortium's BLM Fires area of interest (AOI) encompasses approximately 123,340 acres in Curry, Douglas and Jefferson counties in Oregon. The entire AOI lies within the Rogue River LiDAR dataset collected in 2012. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. Between September 26 and October 23, 2013, WSI employed remote-sensing lasers in order to obtain a total area flown of 127,340 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Final products created include LiDAR point cloud data, one meter digital elevation models of bare earth ground model and highest-hit returns, intensity rasters, ground density rasters, orthophotos, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. This metadata was created for the bare earth digital elevation models.

  17. 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • data.wu.ac.at
    • fisheries.noaa.gov
    Updated Feb 7, 2018
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    National Oceanic and Atmospheric Administration, Department of Commerce (2018). 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Upper Rogue 3DEP [Dataset]. https://data.wu.ac.at/schema/data_gov/ZDNkZTE2MWYtNjNiOC00ZGY4LTliZDAtYTVkMWU3Y2I5ZjQ4
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    Dataset updated
    Feb 7, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    fd668bcc72570bb594d4ddb3b49849972ac6799d
    Description

    Quantum Spatial collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Upper Rogue 2015 study area. The collection of high resolution geographic data is part of an ongoing pursuit to amass a library of information accessible to government agencies as well as the general public. LiDAR data acquisition occurred between March 12 and October 12, 2015 and covered 1,397,140 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Final products created include lidar point cloud data, three foot digital elevation models of highest hit and bare earth ground models, 1.5 foot intensity rasters, study area vector shapes, and corresponding statistical data. Final deliverables were projected in Oregon Statewide Lambert Conformal Conic. Lidar point clouds were projected back to geographic coordinates for storage in the Digital Coast Data Access Viewer.

  18. 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • fisheries.noaa.gov
    geotiff
    Updated Jun 15, 2017
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    OCM Partners (2017). 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Crooked Ochoco [Dataset]. https://www.fisheries.noaa.gov/inport/item/49453
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    geotiffAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Sep 27, 2013 - Jun 2014
    Area covered
    Description

    WSI, a Quantum Spatial company, has collected lidar data for the Oregon LiDAR Consortium (OLC) Crooked Ochoco study area. This study area is adjacent to the Ochoco study area delivered July 31, 2013. The northwestern section of Crooked Ochoco was acquired before snow fell in the study area at the end of 2013. Acquisition of the remaining areas was completed in summer 2014. The collection of hig...

  19. d

    Elevation Point Cloud

    • catalog.data.gov
    • data.oregon.gov
    • +3more
    Updated Jan 31, 2025
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    State of Oregon (2025). Elevation Point Cloud [Dataset]. https://catalog.data.gov/dataset/elevation-point-cloud
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    Dataset updated
    Jan 31, 2025
    Dataset provided by
    State of Oregon
    Description

    Elevation Point Cloud data is available from various sources. Visit the links below or contact Reed Burgette (reed.burgette@dogami.oregon.gov) at Department of Geology and Mineral Industries (DOGAMI) for more information. Resources: https://gis.dogami.oregon.gov/maps/lidarviewer/ ftp://lidar.engr.oregonstate.edu/ https://coast.noaa.gov/digitalcoast/ https://www.usgs.gov/programs/national-geospatial-program/national-map

  20. 2008 - 2009 Oregon Department of Geology and Mineral Industries (DOGAMI)...

    • catalog.data.gov
    • fisheries.noaa.gov
    Updated May 3, 2008
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    DOGAMI (Point of Contact) (2008). 2008 - 2009 Oregon Department of Geology and Mineral Industries (DOGAMI) South Coast LiDAR Project [Dataset]. https://catalog.data.gov/ca/dataset/2008-2009-oregon-department-of-geology-and-mineral-industries-dogami-south-coast-lidar-pro-f9b04
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    Dataset updated
    May 3, 2008
    Dataset provided by
    Oregon Department of Geology and Mineral Industrieshttp://www.oregongeology.org/sub/default.htm
    Area covered
    Oregon
    Description

    The Oregon Department of Geology and Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected between May 3, 2008 and April 25, 2009 and encompasses portions of the following counties in southwest Oregon: Coos, Curry, Lane, and Douglas. This data set consists of bare earth and unclassified points. There are approximately 8 points per square meter over terrestrial surfaces. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected. This LiDAR data set was collected on different dates and organized into 14 deliveries. To determine which delivery or deliveries are in your area of interest, view the delivery area coverage graphic at: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12a/data/519/supplemental/2008_2009_dogami_oregon_lidar_south_coast.jpg The specific date of collection and total area covered for each delivery are listed below. Delivery 1: Date of Collection: 20080503-20080626 Total Area = 74.68 sq miles Delivery 2: Date of Collection: 20080503-20080626 Total Area = 138.73 sq miles Delivery 3: Date of Collection: 20080503-20080626 Total Area = 112.17 sq miles Delivery 4: Date of Collection: 20080612-20080629 Total Area = 177.55 sq miles Delivery 5: Date of Collection: 20080612-20080629 Total Area = 177.80 sq miles Delivery 6: Date of Collection: 20080615-20080803 Total Area = 437.95 sq miles Delivery 7: Date of Collection: 20080615-20080803 Total Area = 209.81 sq miles Delivery 8a: Date of Collection: 20080615-20080803 Total Area = 146.30 sq miles Delivery 8b: Date of Collection: 20080608-20080928 Total Area = 74.06 sq miles Delivery 9: Date of Collection: 20080608-20080928 Total Area = 217.22 sq miles Delivery 10: Date of Collection: 20080608-20080928 Total Area = 224.82 sq miles Delivery 11: Date of Collection: 20080727-20090425 Total Area = 237.06 sq miles Delivery 12: Date of Collection: 20080727-20090425 Total Area = 216.10 sq miles Delivery 13: Date of Collection: 20080727-20090425 Total Area = 181.17 sq miles

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OpenTopography (2011). Oregon Department of Geology and Mineral Industries Lidar Program Data [Dataset]. http://doi.org/10.5069/G9QC01D1

Oregon Department of Geology and Mineral Industries Lidar Program Data

DOGAMI

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12 scholarly articles cite this dataset (View in Google Scholar)
point cloud dataAvailable download formats
Dataset updated
Feb 1, 2011
Dataset provided by
OpenTopography
Time period covered
Mar 15, 2007 - Sep 3, 2010
Area covered
Variables measured
Area, Unit, LidarReturns, PointDensity
Dataset funded by
Oregon Lidar Consortium
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 < 12cm RMSE) and product standards (LAS points, 3ft or 1m bare earth and highest hit DEMs, 1.5ft intensity images, metadata) with a pre-determined unit cost to DOGAMI based on the size of the project area. Since developing OPA 8865 in April 2008, DOGAMI has ordered 13 large lidar flights, totaling 17,500 mi2, 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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