67 datasets found
  1. O

    Oregon Department of Geology and Mineral Industries Lidar Program Data

    • portal.opentopography.org
    • cloud.csiss.gmu.edu
    • +3more
    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

    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/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).

  3. 2015 Oregon Department Forestry Lidar DEM: Northwest OR

    • fisheries.noaa.gov
    html
    Updated Sep 20, 2017
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    OCM Partners (2017). 2015 Oregon Department Forestry Lidar DEM: Northwest OR [Dataset]. https://www.fisheries.noaa.gov/inport/item/49459
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    htmlAvailable download formats
    Dataset updated
    Sep 20, 2017
    Dataset provided by
    OCM Partners
    Time period covered
    Apr 19, 2015 - Mar 30, 2016
    Area covered
    Description

    GeoTerra, Inc. was selected by Oregon Department of Forestry to provide Lidar remote sensing data including LAZ files of the classified Lidar points and surface models for approximately 591 square miles over five (5) sites in Northwest Oregon. Airborne Lidar mapping technology provides 3D information for the surface of the Earth which includes terrain surface models, vegetation characteristics...

  4. 2020 USACE NCMP Topobathy Lidar DEM: Oregon

    • fisheries.noaa.gov
    geotiff +1
    Updated Jan 1, 2022
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    OCM Partners (2022). 2020 USACE NCMP Topobathy Lidar DEM: Oregon [Dataset]. https://www.fisheries.noaa.gov/inport/item/72561
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    geotiff, not applicableAvailable download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    OCM Partners, LLC
    Time period covered
    Jul 23, 2020 - Aug 13, 2020
    Area covered
    Description

    These files contain rasterized topobathy lidar elevations generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system.CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not...

  5. d

    Eagle Creek Fire Area in the Columbia River Gorge, Oregon

    • search.dataone.org
    • portal.opentopography.org
    • +3more
    Updated Oct 17, 2023
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    OpenTopography (2023). Eagle Creek Fire Area in the Columbia River Gorge, Oregon [Dataset]. https://search.dataone.org/view/sha256%3A372ca705cbd24756cc1a85a26f5dfe0f20999fc8c3f912e8e691dd12b0ba1107
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    Dataset updated
    Oct 17, 2023
    Dataset provided by
    OpenTopography
    Time period covered
    May 3, 2018 - May 6, 2018
    Area covered
    Description

    This data sets maps the area affected by the Eagle Creek Wildfire in the Columbia River Gorge, Oregon. Datasets were collected in May 2018 by the National Center for Airborne Laser Mapping (NCALM) as part of a project for Dr. Joshua Roering at the University of Oregon. The survey area covers approximately 309 square kilometers of land affected by the wildfire.


    Publications associated with this dataset can be found at NCALM's Data Tracking Center

  6. 2020 USACE NCMP Topobathy Lidar: Oregon

    • fisheries.noaa.gov
    las/laz - laser +1
    Updated Jan 1, 2022
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    OCM Partners (2022). 2020 USACE NCMP Topobathy Lidar: Oregon [Dataset]. https://www.fisheries.noaa.gov/inport/item/72560
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    las/laz - laser, not applicableAvailable download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    OCM Partners
    Time period covered
    Jul 23, 2020 - Aug 13, 2020
    Area covered
    Description

    These files contain classified topo/bathy lidar data generated from data collected by the Coastal Zone Mapping and Imaging Lidar (CZMIL) system. CZMIL integrates a lidar sensor with simultaneous topographic and bathymetric capabilities, a digital camera and a hyperspectral imager on a single remote sensing platform for use in coastal mapping and charting activities. Native lidar data is not gen...

  7. U.S. Forest Service (USFS) Region 6, Pacific Northwest Region: LiDAR Data...

    • usfs.hub.arcgis.com
    Updated Oct 2, 2024
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    U.S. Forest Service (2024). U.S. Forest Service (USFS) Region 6, Pacific Northwest Region: LiDAR Data Status Map [Dataset]. https://usfs.hub.arcgis.com/maps/12212a4d38534183a8fc700cc916e09d
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    Dataset updated
    Oct 2, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    Description

    A depiction of the U.S. Forest Service (USFS) Region 6 (Pacific Northwest Region of the National Forest System) Light Detection and Ranging (LiDAR) holdings colored by the year the data was acquired. LiDAR is an active remote sensing system that can be used to measure vegetation height across wide areas. This is not an exhaustive depiction of all LiDAR in Oregon and Washington, but instead includes only those acquisitions that fall partially or entirely within national forest boundaries. The LiDAR data coverage depicted in this map is updated regularly by USFS Region 6 staff.

  8. 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

  9. d

    High-resolution digital elevation dataset for Newberry Volcano and vicinity,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). High-resolution digital elevation dataset for Newberry Volcano and vicinity, Oregon, based on lidar survey of August-September, 2010 and bathymetric survey of June, 2001 [Dataset]. https://catalog.data.gov/dataset/high-resolution-digital-elevation-dataset-for-newberry-volcano-and-vicinity-oregon-based-o
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Newberry Volcano, Oregon
    Description

    Newberry Volcano, one of the largest Quaternary volcanoes in the conterminous United States, is a broad shield-shaped volcano measuring at least 60 km north-south by 30 km east-west with a maximum elevation of more than 2 km above sea level. It is the product of deposits from hundreds of eruptions, including at least 25 in (approximately) the last 12,000 years (the Holocene Epoch). Newberry Volcano has erupted as recently as 1,300 years ago, but isotopic ages indicate that the volcano began its growth as early as 0.6 million years ago. Such a long eruptive history together with recent activity suggests that Newberry Volcano is likely to erupt in the future. This DEM (digital elevation model) of Newberry Volcano contributes to natural hazard monitoring efforts, the study of regional geology, volcanic landforms, and landscape modification during and after future volcanic eruptions, both at Newberry Volcano or elsewhere globally. Acquisition of these high-precision, airborne lidar (Light Detection And Ranging) data was funded as part of the American Recovery and Reinvestment Act (ARRA) of 2009. Data were collected through the Oregon LiDAR Consortium, administered by the Oregon Department of Geology and Mineral Industries (DOGAMI). Watershed Sciences was contracted to collect 500 square miles of high-precision airborne lidar data to produce a digital map of the ground surface beneath forest cover. The lidar-derived DEM is amended to include bathymetric surveys of East Lake and Paulina Lake. The bathymetric surveys were performed in June, 2001 by Bob Reynolds of Central Oregon Community College, Bend, Oregon. The bathymetry is mosaicked into the DEM in place of the lidar derived lake surfaces. This release is comprised of a DEM dataset accompanied by a hillshade raster, each divided into eighteen tiles. Each tile’s bounding rectangle is identical to the extent of the USGS 7.5 minute topographic quadrangles covering the same area. The names of the DEM tiles are eleven characters long (e.g., dem_xxxxxx) with the prefix, "dem", indicating the file is a DEM and the last seven characters corresponding to the map reference code of the quadrangle defining the tile's spatial extent. Hillshade tile names are denoted by the prefix "hs", but are otherwise identical to the DEM they are derived from.

  10. d

    Data from: Remote Sensing and Geology of Glass Buttes, Oregon

    • catalog.data.gov
    • data.openei.org
    • +2more
    Updated Jan 20, 2025
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    Ormat Nevada Inc (2025). Remote Sensing and Geology of Glass Buttes, Oregon [Dataset]. https://catalog.data.gov/dataset/remote-sensing-and-geology-of-glass-buttes-oregon-a6b7f
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    Dataset updated
    Jan 20, 2025
    Dataset provided by
    Ormat Nevada Inc
    Area covered
    Glass Buttes, Oregon
    Description

    This data set includes Light Detection and Ranging (LiDAR) data, a remote sensing processing report, and a geologic map of the Glass Buttes study area for ORMAT. The total area flown for the LiDAR remote sensing was 86,631 acres to fully encompass the area of interest (84,849 acres). The "LiDAR Remote Sensing Report" reflects statistics for the overall LiDAR survey. An airborne hyperspectral scanner imagery survey over an area in Glass Buttes, Oregon. The "HyMap Survey Processing Report" describes the processing that has been applied to the HyMap data to produce a number of image products including overview colour composites, decorrelation colour composites, minimum noise fraction (MNF) colour composites, and unmixed end-member mineral map. To produce these products the data first has various processes applied to it that converts the raw data into reflectance imagery which is then geometrically corrected and radiometrically leveled so that seamless image mosaics are produced. A detailed geologic map with cross sections of the Glass Buttes Volcanic Complex, Oregon is also included.

  11. d

    Mapping Changes in Vegetation After Deep-Seated Landslides, OR 2022

    • catalog.data.gov
    • portal.opentopography.org
    • +1more
    Updated Mar 3, 2023
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    University of Oregon (Originator); National Center for Airborne Laser Mapping (Originator); National Science Foundation (Originator); null (Originator) (2023). Mapping Changes in Vegetation After Deep-Seated Landslides, OR 2022 [Dataset]. https://catalog.data.gov/dataset/mapping-changes-in-vegetation-after-deep-seated-landslides-or-2022
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    Dataset updated
    Mar 3, 2023
    Dataset provided by
    University of Oregon (Originator); National Center for Airborne Laser Mapping (Originator); National Science Foundation (Originator); null (Originator)
    Description

    This lidar dataset was collected as part of an NCALM Seed grant for Jonathan Sheppard at the University of Oregon. This dataset was collected to map changes in vegetation after deep-seated landslides. The study area is east of Dunes City, Oregon and covers approximately 14 km2

  12. d

    Sprague River Oregon Geomorphology

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Oct 5, 2024
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    U.S. Geological Survey (2024). Sprague River Oregon Geomorphology [Dataset]. https://catalog.data.gov/dataset/sprague-river-oregon-geomorphology
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    Dataset updated
    Oct 5, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Sprague River, Oregon
    Description

    Geomorphic mapping establishes the basic context for understanding modern channel conditions by (1) defining major elements of the late Cenozoic geologic history shaping the geomorphology of the study area; and (2) outlining the active geomorphic floodplain, which is the domain for assessing channel change and floodplain vegetation conditions. The mapping domain broadly corresponds with the extent of Light Detection and Ranging (LiDAR) topography acquired in November, 2004 (Watershed Sciences, 2005) and includes the broad alluvial valleys of the lower Sycan River, mainstem Sprague River, and lower North Fork of the Sprague River. The mapping encompasses the main floodplains and contiguous alluvial and colluvial landforms. The geomorphic mapping was based on aerial photographs, LiDAR topography acquired in November 2004 (Watershed Sciences, 2005), U.S. Geological Survey 7.5-minute topographic maps, existing soil mapping (Cahoon, 1985), prior geologic mapping (primarily Sherrod and Pickthorn, 1992), reconnaissance field observations, and stratigraphic sections, primarily along bank exposures but supplemented by augering.

  13. b

    Building Footprints

    • data.bendoregon.gov
    • hub.arcgis.com
    Updated Dec 15, 2022
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    City of Bend, Oregon (2022). Building Footprints [Dataset]. https://data.bendoregon.gov/datasets/bendoregon::building-footprints
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    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    City of Bend, Oregon
    Area covered
    Description

    This dataset was created using aerial Lidar collected on March 25, 2022 at a density of greater than 12 points per square meter. Lidar points classified as buildings were used to automatically generate building polygons. Resulting buildings were reviewed for completeness. Buildings not defined using Lidar returns were manually collected using 0.25'-pixel aerial imagery collected on April 2, 2022.

  14. d

    2007 Sumpter Powder River Mine Lidar.

    • datadiscoverystudio.org
    Updated Feb 7, 2018
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    (2018). 2007 Sumpter Powder River Mine Lidar. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/72958de94ea74237b753b49470400861/html
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    Dataset updated
    Feb 7, 2018
    Description

    description: Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data for the USDA Forest Service on September 17, 2007. The project covers an 8-mile reach of the Powder River in northeast Oregon, downstream of the town of Sumpter. The extent of requested LiDAR area totals over 3,146 acres; the map below shows the extent of the LiDAR area to be delivered, covering nearly 3,208 acres. The delivered acreage for the study area is greater than the original amount due to buffering of the original AOI and flight planning optimization.; abstract: Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (LiDAR) data for the USDA Forest Service on September 17, 2007. The project covers an 8-mile reach of the Powder River in northeast Oregon, downstream of the town of Sumpter. The extent of requested LiDAR area totals over 3,146 acres; the map below shows the extent of the LiDAR area to be delivered, covering nearly 3,208 acres. The delivered acreage for the study area is greater than the original amount due to buffering of the original AOI and flight planning optimization.

  15. j

    Contours 2ft - CentralPoint

    • gis.jacksoncountyor.gov
    • hub.arcgis.com
    Updated Dec 17, 2019
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    Jackson County GIS (2019). Contours 2ft - CentralPoint [Dataset]. https://gis.jacksoncountyor.gov/datasets/6dc387b7a50a4d55b56516ad9084a6b0
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    Dataset updated
    Dec 17, 2019
    Dataset authored and provided by
    Jackson County GIS
    Description

    Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

  16. j

    Contours 2ft - Eagle Point

    • gis.jacksoncountyor.gov
    • gis-jcgis.opendata.arcgis.com
    Updated Dec 17, 2019
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    Jackson County GIS (2019). Contours 2ft - Eagle Point [Dataset]. https://gis.jacksoncountyor.gov/datasets/2109e8e09c8c4faaaa7d86add9c442e2
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    Dataset updated
    Dec 17, 2019
    Dataset authored and provided by
    Jackson County GIS
    Description

    Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

  17. j

    Contours 2ft - Missouri Flat

    • gis.jacksoncountyor.gov
    Updated Dec 18, 2019
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    Jackson County GIS (2019). Contours 2ft - Missouri Flat [Dataset]. https://gis.jacksoncountyor.gov/datasets/4cb29d518c11455780a884448173f8e3
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    Dataset updated
    Dec 18, 2019
    Dataset authored and provided by
    Jackson County GIS
    Area covered
    Missouri Flat Road
    Description

    Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

  18. 2002 NASA/USGS Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project...

    • datadiscoverystudio.org
    • fisheries.noaa.gov
    Updated Aug 24, 2017
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    DOC/NOAA/NOS/OCM > Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce (2017). 2002 NASA/USGS Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for California, Oregon, and Washington Coastlines [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/176a1ad7b3cf4a2b9ae914609ceb444e/html
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    Dataset updated
    Aug 24, 2017
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    National Ocean Servicehttps://oceanservice.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    NASAhttp://nasa.gov/
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from the low water line to the landward base of the sand dunes.

  19. a

    Contour 2ft - Ashland

    • hub.arcgis.com
    Updated Dec 17, 2019
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    Jackson County GIS (2019). Contour 2ft - Ashland [Dataset]. https://hub.arcgis.com/datasets/822b7eae49b247809bc94072bd437431
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    Dataset updated
    Dec 17, 2019
    Dataset authored and provided by
    Jackson County GIS
    Description

    Use the app to find the downloadable area within Jackson County - 2 Foot Contour MapThe 2-foot Contour Map shows contours that were derived from several different LiDAR projects in the Rogue Valley over the last 10 years. The map can be used to both download and view the contour data. To use the map, search or zoom in to an address. When zoomed in to a specific scale, the map will change from the downloadable areas layer to 2-foot interval contour lines. The LiDAR Project Dates layer can be used to identify the date when the elevation was collected in an area. Please note that data is available only for the valley floor areas at this time.The 2ft contours were created from 1-meter pixel DEM and then cleaned to remove very small elevation changes and to create a smooth contour line. This information should not be used to create topographic surveys or other applications where the precise elevation of a location is required. For additional information on LiDAR in Oregon or to download the source data, please visit the DOGAMI Lidar Viewer.The downloadable data is a zipped ESRI Shapefile and is projected to Oregon State Plane South (Intl Feet) with NAD 1983 datum.

  20. Field observations for "A carbon monitoring system for mapping regional,...

    • agdatacommons.nal.usda.gov
    bin
    Updated Jan 22, 2025
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    Patrick A. Fekety; Andrew T. Hudak; Benjamin C. Bright (2025). Field observations for "A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA" [Dataset]. http://doi.org/10.2737/RDS-2020-0026
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    binAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    Patrick A. Fekety; Andrew T. Hudak; Benjamin C. Bright
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Northwestern United States, United States
    Description

    These data represent a portion of the forest inventory data used in Hudak et al. (2020) "A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA". This study used forest inventory data located in lidar units along with Landsat data, topographic metrics, and climate metrics to create maps of forested biomass across the northwestern USA (Washington, Oregon, Idaho, and western Montana.) The data requirements for inclusion in this study included: 1. fixed-area plots, 2. plots centers were recorded using a global navigation satellite system receiver (e.g., a GPS receiver) capable of differential correction, and 3. plots were located in a lidar unit where tree data were collected within 3 years of the lidar collection. A shapefile of the lidar units can be found in Fekety and Hudak (2020, https://doi.org/10.3334/ORNLDAAC/1766). The forest inventory data presented here (n = 2,680 plots) include all data that could be made publicly available and have been compiled from numerous existing datasets. The forest inventory data were collected using project-specific sampling plans and therefore these data have been formatted to be read by the Forest Vegetation Simulator (FVS; https://www.fs.usda.gov/fvs/). The forest inventory data in this dataset were collected between 2002 and 2017 and located in Idaho, Oregon, and Washington, USA.These data were used in combination with lidar, topographic, and climate datasets to create annual aboveground biomass maps across the northwestern United States for the years 2000-2016.These data were published on 04/29/2020. Minor metadata updates were made On 04/18/2024.

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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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