c2c15efa-770f-4b3f-a7fe-4888062ec320_source eng; USA utf8 dataset Metadata manager (907)451-5020 3354 College Road Fairbanks AK 99709-3707 USA pointOfContact 2013-08-21 ISO 19115 Geographic Information - Metadata ISO 19115:2003/Cor.1:2006(E) High-resolution lidar data for Alaska infrastructure corridors 2011-01-01 publication Alaska Division of Geological & Geophysical Surveys Fairbanks Alaska, United States publisher Hubbard, T.D. originator Koehler, R.D. originator Combellick, R.A. originator http://dx.doi.org/10.14509/22722 http://maps.dggs.alaska.gov/lidar/ LAS Raw Data File RDF 2011-3 291 p. In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired LiDAR (Light Detection and Ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. LiDAR data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications and construction plans. The dataset represents all classified laser returns from the LiDAR survey and their associated geospatial coordinates. In advance of design, permitting, and construction of a pipeline to deliver North Slope natural gas to out-of-state customers and Alaska communities, the Division of Geological & Geophysical Surveys (DGGS) has acquired LiDAR (Light Detection and Ranging) data along proposed pipeline routes, nearby areas of infrastructure, and regions where significant geologic hazards have been identified. LiDAR data will serve multiple purposes, but have primarily been collected to (1) evaluate active faulting, slope instability, thaw settlement, erosion, and other engineering constraints along proposed pipeline routes, and (2) provide a base layer for the state-federal GIS database that will be used to evaluate permit applications and construction plans. Steep slopes with poor access, combined with dense vegetation and a thick moss ground-cover that obscures the bedrock surface, make the use of LiDAR one of the most effective ways to map the geology and evaluate unstable slopes and other hazards. Data collection was supported by funding from the Department of Natural Resources (DNR), Division of Geological & Geophysical Surveys (DGGS), the Alaska Gas Pipeline Project Office, the Office of the Federal Coordinator, and the Alaska Gasline Development Corporation (AGDC). LiDAR data were collected and processed by Watershed Sciences, Inc. of Corvallis, OR. Survey data were collected by McClintock Land Associates of Eagle River, AK. LiDAR data and derivative products were checked for quality, completeness, and accuracy by State of Oregon Department of Geology & Mineral Industries based in Portland, OR. completed James Weakland Alaska Division of Geological & Geophysical Surveys GIS Analyst (907)451-5029 (907)451-5020 3354 College Road Fairbanks AK 99709-3707 USA dggsgis@alaska.gov 8 am to 4:30 pm, Monday through Friday, except State holidays pointOfContact notPlanned Aerial Geology Geology Geomorphology Geologic Hazards Remote Sensing Digital Elevation Model Hazards LiDAR Point Cloud Data Digital Surface Model (DSM) LiDAR LAS File Format Slope Instability theme Alaska Division of Geological & Geophysical Surveys Alaska Highway Corridor Alaska, State of Trans-Alaska Pipeline place Alaska Division of Geological & Geophysical Surveys Holocene temporal Walker, J. D., and Geissman, J. W., compilers, 2009, Geologic Time Scale: Geological Society of America The State of Alaska makes no expressed or implied warranties (including warranties for merchantability and fitness) with respect to the character, functions, or capabilities of the electronic data or products or their appropriateness for any user's purposes. In no event will the State of Alaska be liable for any incidental, indirect, special, consequential, or other damages suffered by the user or any other person or entity whether from the use of the electronic services or products or any failure thereof or otherwise. In no event will the State of Alaska's liability to the Requestor or anyone else exceed the fee paid for the electronic service or product. otherRestrictions Use Constraints: Any hard copies or published datasets utilizing these datasets shall clearly indicate their source. If the user has modified the data in any way, the user is obligated to describe the types of modifications the user has made. The user specifically agrees not to misrepresent these datasets, nor to imply that changes made by the user were approved by the State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys. The State of Alaska makes no express or implied warranties (including warranties for merchantability and fitness) with respect to the character, functions, or capabilities of the electronic data or products or their appropriateness for any user's purposes. In no event will the State of Alaska be liable for any incidental, indirect, special, consequential, or other damages suffered by the user or any other person or entity whether from the use of the electronic services or products or any failure thereof or otherwise. In no event will the State of Alaska's liability to the Requestor or anyone else exceed the fee paid for the electronic service or product. otherRestrictions Access Constraints: This report, map, and/or dataset is available directly from the State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys (see contact information below). High-resolution LiDAR data for Alaska infrastructure corridors 2011-01-01 publication Alaska Division of Geological & Geophysical Surveys Fairbanks Alaska, United States publisher Hubbard, T.D. originator Koehler, R.D. originator Combellick, R.A. originator http://dx.doi.org/10.14509/22722 IMAGERY AND VECTOR DATA DERIVED FROM LIDAR LAS FILES Raw Data File RDF 2011-3A through RDF 2011-3T 291 p crossReference High-resolution LiDAR data for the Whittier area, Passage Canal, and Portage Lake, Alaska 2013-01-01 publication Alaska Division of Geological & Geophysical Surveys Fairbanks Alaska, United States publisher Hubbard, T.D. originator Wolken, G.J. originator Stevens, D.S.P. originator Combellick, R.A. originator http://dx.doi.org/10.14509/24976 Raw Data File RDF 2013-3 5 p crossReference vector eng; USA geoscientificInformation -150.82 -141.00 61.04 70.38 2010-01-01 2011-01-01 This metadata file was written to document and describe, as a whole, all of the classified laser returns (point cloud data) generated for this project. It provides a brief overview of the data acquisition, processing, and quality control steps utilized by DGGS contractors and subcontractors. We encourage users to review the delivery and quality control reports provided by Watershed Sciences, Inc. (WSI) and Oregon Department of Geology and Mineral Industries (DOGAMI) for a comprehensive discussion of their processes. These reports can be found on the citation page for this publication. The DGGS metadata standard extends the FGDC standard to include elements that are required to facilitate our internal data management. These elements, referred to as "layers," group and describe files that have intrinsic logical or topological relationships. Attribute information for the layers (entity) is included in this metadata file under the "Entity_and_Attribute_Information" section. The layers are titled: >Point-cloud data - all returns - classified:Classified (ASPRS standard) LiDAR attributes for all returns >Point-cloud data - ground returns - classified:Classified (ASPRS standard) LiDAR attributes for ground returns true LAS v 1.2 unknown LAS v 1.2 unknown Alaska Division of Geological & Geophysical Surveys (907)451-5020 (907)451-5050 3354 College Road Fairbanks AK 99709-3707 USA dggspubs@alaska.gov 8 am to 4:30 pm, Monday through Friday, except State holidays Please view our website (http://www.dggs.alaska.gov) for the latest information on available data. Please contact us using the e-mail address provided above when possible. distributor Contact DGGS for current pricing Free download Access Instructions: The complete set of point cloud data is available to users in LAS 1.2 format. The point cloud files total approximately 428GB. The LAS files included in this dataset have been compressed using LASzip. LASzip is an open source lossless compression for LiDAR point cloud data in the LAS format that provides significant file size reductions. To uncompress the included .laz files, you can use the LASzip tool from our web site: http://maps.dggs.alaska.gov/lidar/bin/laszip.exe, or download the latest version directly from http://laszip.org. Ordering Instructions: Please visit: http://maps.dggs.alaska.gov/lidar/ to download the point cloud data associated with this publication. The complete set of point cloud data is available to users in LAS 1.2 format. The point cloud files total approximately 428GB. The LAS files included in this dataset have been compressed using LASzip. LASzip is an open source lossless compression for LiDAR point cloud data in the LAS format that provides significant file size reductions. To uncompress the included .laz files, you can use the LASzip tool from our web site: http://maps.dggs.alaska.gov/lidar/bin/laszip.exe, or download the latest version directly from http://laszip.org. Due to the size of these files we also offer the option to receive this data on a USB hard drive. There are two options for copying the data to a hard drive: (1) DGGS will purchase a brand-new, 1 TB hard drive that you will be billed for when the data is picked up or sent, OR (2) you may provide a new, unopened* (in original packaging, including shrink-wrap - *The State of Alaska IT security policy prohibits non-State resources from being connected to a State of Alaska network. Thus, only unused drives can be used.) 1 TB or larger hard drive. For all orders, please include: title and publication number. http://dx.doi.org/10.14509/22722 LAS v 1.2 CSDGM IMPORT ERROR: No digtinfo/formcont information dataset Horizontal Positional Accuracy Report Horizontal accuracy refers to the ability to place laser points from multiple flight lines in the same location. Horizontal accuracy is measured as the divergence between points from overlapping flight lines. Accuracy is affected by system attitude offsets, scale and GPS/IMU drift. Manual system calibration and automated attitude calibration techniques were used to resolve divergence of data. Please see the LiDAR QC report and LiDAR delivery report for specific information about accuracy of LiDAR data. Vertical Positional Accuracy Report The vertical accuracy of the LiDAR data is described as the mean and standard deviation of divergence between LiDAR point coordinates and RTK ground survey point coordinates. To provide a sense of the model predictive power of the dataset, the root mean-square error (RMSE) for vertical accuracy is also provided. Please see the LiDAR QC report and LiDAR delivery report for specific information about accuracy and quality of LiDAR data, including a comparison of GCP elevations with bare-earth digital elevation model elevations. The entire dataset for this project consists of: (1) continuous 1-mile-width coverage over existing infrastructure along the entire length of the proposed natural gas pipeline corridors from Prudhoe Bay to the Canada border along the Trans-Alaska Pipeline System (TAPS) and Alaska Highway, from Delta Junction to Valdez along the TAPS, and Livengood to the Anchorage area along the George Parks Highway; (2) approximately 1-mile-wide corridors over routes the State believes gas pipeline applicants are considering, where departing from existing infrastructure; (3) half-mile-wide coverage of existing primary pipeline-support roads where outside the main corridor; and (4) expanded areas of coverage along these corridors where data are needed for evaluation of active faults, slope instability, and other hazards. The average native LiDAR pulse density was >= 8 pulses per square meter over terrestrial surfaces. It is not uncommon for some types of surfaces (e.g. dense vegetation or water) to return fewer pulses than the laser originally emitted. These discrepancies between "native" and "delivered" density will vary depending on terrain, land cover, and the prevalence of water bodies. Please see the LiDAR QC report and LiDAR delivery report for additional information. The entire dataset for this project consists of: (1) continuous 1-mile-width coverage over existing infrastructure along the entire length of the proposed natural gas pipeline corridors from Prudhoe Bay to the Canada border along the Trans-Alaska Pipeline System (TAPS) and Alaska Highway, from Delta Junction to Valdez along the TAPS, and Livengood to the Anchorage area along the George Parks Highway; (2) approximately 1-mile-wide corridors over routes the State believes gas pipeline applicants are considering, where departing from existing infrastructure; (3) half-mile-wide coverage of existing primary pipeline-support roads where outside the main corridor; and (4) expanded areas of coverage along these corridors where data are needed for evaluation of active faults, slope instability, and other hazards. The average native LiDAR pulse density was >= 8 pulses per square meter over terrestrial surfaces. It is not uncommon for some types of surfaces (e.g. dense vegetation or water) to return fewer pulses than the laser originally emitted. These discrepancies between "native" and "delivered" density will vary depending on terrain, land cover, and the prevalence of water bodies. Please see the LiDAR QC report and LiDAR delivery report for additional information. Data consistency varies slightly throughout the project area with higher errors in areas of steep terrain. The tests and processing methods used by WSI and DOGAMI to ensure data consistency are described in the accompanying delivery and quality control reports. This lineage was generated by the FGDC CSDGM to 19139 transformation Data acquisition and processing - This LiDAR dataset was collected and processed by WSI and their survey subcontractor, McClintock Land Associates (October 21-25, 2012). WSI has provided a delivery report which outlines in detail their data acquisition procedures, processing methods, and results of all accuracy assessments. The delivery report is available on the citation page for this publication. 2010-01-01T00:00:00 Point-cloud data - all returns - classified - LiDAR data points were classified (ASPRS standard) through automated point processing algorithms and manual inspection. 2011-01-01T00:00:00 Point-cloud data - ground returns - classified - LiDAR data points that were classified as "ground" were extracted to create the ground point data file. 2011-01-01T00:00:00 Quality control - WSI submitted the data to the State of Oregon Department of Geology and Mineral Industries (DOGAMI) for independent quality control analysis. After addressing any concerns from DOGAMI, WSI submitted the revised data set to DGGS along with a technical report describing details about the LiDAR acquisition, accuracy, and quality. DOGAMI also provided a separate report summarizing their methodologies and the results of quality control checks. 2011-01-01T00:00:00 Source Contribution: point classification categoriesSource Type: online LAS Specification Version 1.2 209-20-08 publication The American Society for Photogrammetry & Remote Sensing (ASPRS) originator http://www.asprs.org/a/society/committees/standards/asprs_las_format_v12.pdf documentDigital 209-20-08 otherRestrictions Metadata Use Constraints: If the user has modified the data in any way they are obligated to describe the types of modifications they have performed in the supporting metadata file. User specifically agrees not to imply that changes they made were approved by the Alaska Department of Natural Resources or Division of Geological & Geophysical Surveys. unknown This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2019-08-12T11:11:00 version of the FGDC CSDGM to ISO 19139 transform. Metadata manager (907)451-5020 3354 College Road Fairbanks AK 99709-3707 USA pointOfContact