92 datasets found
  1. O

    Oregon Department of Geology and Mineral Industries Lidar Program Data

    • portal.opentopography.org
    • cloud.csiss.gmu.edu
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    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. A

    2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • data.amerigeoss.org
    • datadiscoverystudio.org
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    Updated Aug 20, 2022
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    United States (2022). 2009 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Southwest Washington Study Area [Dataset]. https://data.amerigeoss.org/es/dataset/2009-oregon-department-of-geology-and-mineral-industries-dogami-lidar-southwest-washington-4b74
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    htmlAvailable download formats
    Dataset updated
    Aug 20, 2022
    Dataset provided by
    United States
    Area covered
    Washington, Southwest Washington, 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 July 26 - October 10, 2009 (in four separate dates of acquisition) and encompasses the coastal areas of Grays Harbor and Pacific counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.91 pulses per square meter over terrestrial surfaces. The area of interest (AOI) encompasses approximately 463 square miles (296,307 acres) and the total area flown (TAF) covers 492 square miles (315,012 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. 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. The dates of acquisition for this data set are: July 26 - August 1, 2009 September 20 - 26, 2009 September 27 - October 3, 2009 October 4 - 10, 2009

  3. d

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

    • datadiscoverystudio.org
    Updated Feb 7, 2018
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    (2018). 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Big Windy. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/dbbe2548489f4fd5bcb630d0448e6339/html
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    Dataset updated
    Feb 7, 2018
    Description

    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. Lidar point clouds were projected from Oregon Lambert coordinates back to geographic coordinates for storage in the Digital Coast Data Access Viewer.; abstract: 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. Lidar point clouds were projected from Oregon Lambert coordinates back to geographic coordinates for storage in the Digital Coast Data Access Viewer.

  4. A

    Oregon LIDAR DOGAMI

    • data.amerigeoss.org
    • data.wu.ac.at
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    Updated Aug 9, 2019
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    Energy Data Exchange (2019). Oregon LIDAR DOGAMI [Dataset]. https://data.amerigeoss.org/lt/dataset/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).

  5. 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon...

    • fisheries.noaa.gov
    geotiff
    Updated Jun 15, 2017
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    OCM Partners (2017). 2013 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar DEM: Clackamol [Dataset]. https://www.fisheries.noaa.gov/inport/item/49451
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    geotiffAvailable download formats
    Dataset updated
    Jun 15, 2017
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    May 1, 2013 - Jul 20, 2013
    Area covered
    Description

    WSI collected Light Detection and Ranging (LiDAR) data for the Oregon LiDAR Consortium (OLC) Clackamol 2013 study area in Clackamas and Marion 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. The study area is predominantly comprised of rural and fore...

  6. 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.

  7. d

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

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    Updated Feb 7, 2018
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    (2018). 2015 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Big Windy. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/c08ab2da49e3447bb29ff9950cefb3da/html
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    Dataset updated
    Feb 7, 2018
    Description

    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-sensing lasers in order to obtain a total area flown of 131,357 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. The LiDAR survey occurred between June 26, 2015 and July 3, 2015 utilizing a Leica ALS70 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 198 kHz and flown at 1,400 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces. Final products created include 3-inch orthophotos, RGB extracted (from NAIP imagery) 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.; abstract: 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-sensing lasers in order to obtain a total area flown of 131,357 acres. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. The LiDAR survey occurred between June 26, 2015 and July 3, 2015 utilizing a Leica ALS70 mounted in a Cessna Grand Caravan. The systems were programmed to emit single pulses at around 198 kHz and flown at 1,400 m AGL, capturing a scan angle of 15 degrees from nadir. These settings were developed to yield points with an average native density of greater than eight pulses per square meter over terrestrial surfaces. Final products created include 3-inch orthophotos, RGB extracted (from NAIP imagery) 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.

  8. NOAA ISEMP - Watershed Sciences - Bridge Creek, Oregon Lidar Survey, 2005

    • catalog.data.gov
    • portal.opentopography.org
    • +3more
    Updated Nov 12, 2020
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    null (Originator); National Oceanic and Atmospheric Administration (Originator); Integrated Status and Effectiveness Monitoring Program (Originator); Watershed Sciences, Inc (Originator) (2020). NOAA ISEMP - Watershed Sciences - Bridge Creek, Oregon Lidar Survey, 2005 [Dataset]. https://catalog.data.gov/dataset/noaa-isemp-watershed-sciences-bridge-creek-oregon-lidar-survey-2005
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Bridge Creek, Oregon
    Description

    These lidar data were collected on September 27, 2005, for the NOAA Fisheries Service - Northwest Fisheries Science Center as part of the ISEMP (Integrated Status and Effectives Monitoring Program) for the Columbia Basin. Data collection and processing were performed by Watershed Sciences. The flight covered 122 km2 and 26 river kilometers of Bridge Creek, a tributary to the John Day River in central Oregon. The flight was used as a baseline survey for the Bridge Creek Intensively Monitored Watershed, which is nested in the broader Status and Trend Monitoring in the John Day Pilot Basin. Channel incision within Bridge Creek IMW, OR, has degraded instream and floodplain habitat leading to a loss of spawning and rearing habitat, increased summer stream temperatures and reduced base flows impacting steelhead using this system. ISEMP is collaborating with the National Park Service, NOAA-Fisheries, and the Bureau of Land Management on a restoration project that will accelerate natural recovery rates of the processes that create and maintain steelhead habitat to substantially increase steelhead productivity within the drainage.

  9. d

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

    • datadiscoverystudio.org
    • fisheries.noaa.gov
    • +1more
    Updated Feb 7, 2018
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    (2018). 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Four Rivers. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3c1371c44d6a4488a3efae1f24046ae3/html
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    Dataset updated
    Feb 7, 2018
    Description

    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 Delivery Area Two encompasses 390,089 acres. 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 collection began on September 10, 2014 and was completed on June 16, 2015. Delivery Area One LiDAR was acquired between September 9, 2014 and October 10, 2014. Delivery Area Two was acquired between October 10, 2014 and October 28, 2014, and the following year between March 17, 2015 and June 16, 2015. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Orthophoto acquisition occurred between August 28, 2014 and September 4, 2014. Final products created include LiDAR point cloud data, three-foot digital elevation models of bare earth ground model and highest-hit returns, 1.5 foot intensity rasters, 6-inch orthophotos, ground density 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.; abstract: 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 Delivery Area Two encompasses 390,089 acres. 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 collection began on September 10, 2014 and was completed on June 16, 2015. Delivery Area One LiDAR was acquired between September 9, 2014 and October 10, 2014. Delivery Area Two was acquired between October 10, 2014 and October 28, 2014, and the following year between March 17, 2015 and June 16, 2015. Settings for LiDAR data capture produced an average resolution of at least eight pulses per square meter. Orthophoto acquisition occurred between August 28, 2014 and September 4, 2014. Final products created include LiDAR point cloud data, three-foot digital elevation models of bare earth ground model and highest-hit returns, 1.5 foot intensity rasters, 6-inch orthophotos, ground density 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.

  10. 2007 Oregon Department of Geology and Mineral Industries (DoGAMI) LiDAR:...

    • catalog.data.gov
    • datadiscoverystudio.org
    Updated Mar 15, 2007
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    DoGAMI (Point of Contact) (2007). 2007 Oregon Department of Geology and Mineral Industries (DoGAMI) LiDAR: Northwest Oregon and Portland Metro Area [Dataset]. https://catalog.data.gov/ru/dataset/2007-oregon-department-of-geology-and-mineral-industries-dogami-lidar-northwest-oregon-and-5bf47
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    Dataset updated
    Mar 15, 2007
    Dataset provided by
    Oregon Department of Geology and Mineral Industrieshttp://www.oregongeology.org/sub/default.htm
    Area covered
    Portland Metropolitan Area, Oregon
    Description

    Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data for the Oregon Department of Geology and Mineral Industries (DoGAMI) and the Oregon Department of Forestry (ODF) between March 15 and November 7 2007. This data set has bare earth and unclassified points. The dataset encompasses portions of the following counties in northwest Oregon: Multnomah, Marion, Hood River, Clackamas, Columbia, Washington and Yamhill. Areas of interest within this data set are the Portland Metro area, Mt. Hood and Silver Falls State Park. There is 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.

  11. L

    Lidar Survey of the Malheur National Forest, Oregon

    • portal.opentopography.org
    • datadiscoverystudio.org
    • +3more
    point cloud data
    Updated Apr 11, 2012
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    OpenTopography (2012). Lidar Survey of the Malheur National Forest, Oregon [Dataset]. http://doi.org/10.5069/G9QJ7F74
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    point cloud dataAvailable download formats
    Dataset updated
    Apr 11, 2012
    Dataset provided by
    OpenTopography
    Time period covered
    Sep 15, 2007
    Area covered
    Variables measured
    Area, Unit, LidarReturns, PointDensity
    Dataset funded by
    Malheur National Forest
    Description

    The survey covers areas of the Malheur National Forest, Idaho, and were collected by Watershed Sciences in Corvallis, OR and processed by the USDA Forest Service in Moscow, ID. Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (Lidar) data for the Damon Region of Malheur National Forest on September 15 and 16, 2007. The Area of Interest (AOI) covers 31,614 acres (north: 9,598 acres, south: 22,016 acres). The purpose of this collection is to use Lidar in support of natural resource research and management applications.

  12. U

    Repeat Lidar and Orthoimagery of Headwater Streams in the Breitenbush River...

    • data.usgs.gov
    • catalog.data.gov
    Updated Sep 8, 2022
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    Julia Grabowski; Nathan Chelgren; Konrad Hafen; Brandon Overstreet (2022). Repeat Lidar and Orthoimagery of Headwater Streams in the Breitenbush River Basin, Oregon: Lidar Point Cloud, September 2022 [Dataset]. http://doi.org/10.5066/P1EWVJWP
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    Dataset updated
    Sep 8, 2022
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Julia Grabowski; Nathan Chelgren; Konrad Hafen; Brandon Overstreet
    License

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

    Time period covered
    Sep 8, 2022
    Area covered
    Breitenbush River, Oregon
    Description

    In June and September 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 34 square kilometers of headwater streams in the Breitenbush River Basin in northwestern Oregon. Repeat aerial imagery and NIR lidar data were collected over an area spanning from the northern slope of Triangulation Peak to the mainstem Breitenbush River near the confluence of the North Fork and South Fork Breitenbush rivers. Several headwater streams were covered in the survey, including Devils Creek, Hill Creek, Leone Creek, and Skunk Creek. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the lidar point cloud from the September data collection and is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey.

  13. A

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

    • data.amerigeoss.org
    • datadiscoverystudio.org
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    Updated Aug 15, 2022
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    United States (2022). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Crater Lake Study Area [Dataset]. https://data.amerigeoss.org/dataset/2010-oregon-department-of-geology-and-mineral-industries-dogami-lidar-crater-lake-study-ar-8ea1
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    htmlAvailable download formats
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    United States
    Area covered
    Crater Lake, 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 August 23, 24, 31, Sept 2 - 5, 2010 and falls mainly in Klamath County, and very small portions of Douglas and Jackson counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.39 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 283 square miles (181,081 acres) and the total area flown (TAF) covers 308 square miles (197,011 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. 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. A

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

    • data.amerigeoss.org
    • datadiscoverystudio.org
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    Updated Aug 26, 2022
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    United States (2022). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Eagle Point Study Area [Dataset]. https://data.amerigeoss.org/dataset/2010-oregon-department-of-geology-and-mineral-industries-dogami-lidar-eagle-point-study-ar-94cd
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    htmlAvailable download formats
    Dataset updated
    Aug 26, 2022
    Dataset provided by
    United States
    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.

  15. 2011 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar:...

    • fisheries.noaa.gov
    • data.amerigeoss.org
    html
    Updated Jan 1, 2012
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    OCM Partners (2012). 2011 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Burns Study Area [Dataset]. https://www.fisheries.noaa.gov/inport/item/49921
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    htmlAvailable download formats
    Dataset updated
    Jan 1, 2012
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Jun 19, 2011 - Jun 21, 2011
    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...

  16. A

    2011 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: US...

    • data.amerigeoss.org
    • fisheries.noaa.gov
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    Updated Aug 25, 2022
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    United States (2022). 2011 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: US Forest Service (FS) Newberry Study Area [Dataset]. https://data.amerigeoss.org/dataset/activity/2011-oregon-department-of-geology-and-mineral-industries-dogami-lidar-us-forest-service-fs-902b
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    htmlAvailable download formats
    Dataset updated
    Aug 25, 2022
    Dataset provided by
    United States
    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 July 31 - August 10, 2011 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 10.2 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 444 square miles (284,030 acres) and the total area flown (TAF) covers 462 square miles (296,074 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. FS (US Forest Service)

  17. 2014 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). 2014 Oregon Department of Geology and Mineral Industries (DOGAMI) Oregon Lidar: Metro Portland, OR [Dataset]. https://data.wu.ac.at/schema/data_gov/YjUwYThlNTQtMDRlYi00ZmE4LTg3NTYtNmE4ZDcxZjRhMDcy
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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
    2f627aa9a5a5c21b29c8802a1eb4ea254af7537b
    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) 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 DSM and DEM grid cell size is 3 feet. The projection was originally Oregon Statewide Lambert Conformal Conic, units are in International Feet. The horizontal datum is NAD 83 (2011) and the vertical datum was NAVD88 (Geoid 12A). The projection and datum have been changed for ingestion in the NOAA Digital Coast. Watershed Sciences, Inc. collected the lidar and created this data set for the Oregon Department of Geology and Mineral Industries (DOGAMI). The data received from DOGAMI was missing quad 45123E2. A replacement has been requested from DOGAMI.

  18. A

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

    • data.amerigeoss.org
    • datadiscoverystudio.org
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    Updated Aug 15, 2022
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    United States (2022). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Klamath Study Area [Dataset]. https://data.amerigeoss.org/fi/dataset/2010-oregon-department-of-geology-and-mineral-industries-dogami-lidar-klamath-study-area-dddfb
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    htmlAvailable download formats
    Dataset updated
    Aug 15, 2022
    Dataset provided by
    United States
    Area covered
    Klamath County, 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 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

  19. A

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

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    Updated Aug 28, 2022
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    United States (2022). 2010 Oregon Department of Geology and Mineral Industries (DOGAMI) Lidar: Mt. Shasta Study Area [Dataset]. https://data.amerigeoss.org/es/dataset/2010-oregon-department-of-geology-and-mineral-industries-dogami-lidar-mt-shasta-study-area-7110
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    htmlAvailable download formats
    Dataset updated
    Aug 28, 2022
    Dataset provided by
    United States
    Area covered
    Mount Shasta, 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 from July 5 through September 2, 2010 and encompasses the area around Mt. Shasta in portions of Siskiyou and Shasta counties in California. This data set consists of bare earth and unclassified points. The average pulse density is 10.18 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 465 square miles (297,368 acres) and the total area flown (TAF) covers 471 square miles (301,454 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.

  20. 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, LLC
    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...

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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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11 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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