99d46ac6-2df0-4f11-a421-2e6fc7d90eda_source eng; USA utf8 dataset Metadata manager 907-451-5020 State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys Fairbanks AK 99709-3707 USA pointOfContact 2012-04-23 ISO 19115 Geographic Information - Metadata ISO 19115:2003/Cor.1:2006(E) 0 area High-resolution lidar data for infrastructure corridors, Tanana Quadrangle, Alaska 2011-01-01 publication State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys Fairbanks Alaska USA publisher Hubbard, T.D. originator Braun, M.L. originator Westbrook, R.E. originator Gallagher, P.E. originator Hubbard, T.D. originator Koehler, R.D. originator Combellick, R.A. originator http://dx.doi.org/10.14509/23004 mapDigital Raw Data File RDF 2011-3G 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. This digital surface model represents coefficient of variation of the above ground height of vegetation returns. Provide high resolution terrain elevation data for use in vegetation classification and analysis. 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 Alaska Division of Geological & Geophysical Surveys GIS Data Manager/GIS Analyst 907-451-5029 907-451-5020 3354 College Rd Fairbanks AK 99709-3707 USA dggspubs@alaska.gov 8 am to 4:30 pm, Monday through Friday, except State holidays pointOfContact asNeeded Alaska Pipeline Gasline Geomorphology Lidar Proposed Natural Gas Pipeline Remote Sensing Raster Image Coefficient Variation theme Alaska Division of Geological & Geophysical Surveys Tanana Quadrangle Alaska Highway Corridor Alaska, State of Trans-Alaska Pipeline place Alaska Division of Geological & Geophysical Surveys The State of Alaska makes no express or implied warranties (including warranties of merchantability and fitness) with respect to the character, function, or capabilities of the electronic services 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, any failure thereof, or otherwise, and in no event will the State of Alaska's liability to the requester 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: The dataset(s) is (are) 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 State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys Fairbanks AK USA publisher Hubbard, T.D. originator Koehler, R.D. originator Combellick, R.A. originator http://dx.doi.org/10.14509/22722 documentDigital Raw Data File RDF 2011-3 largerWorkCitation grid eng; USA geoscientificInformation Native Dataset Environment: Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000 -153 -150 65 66 2010-01-01 2011-01-01 This metadata file has been written to document and describe, as a whole, all of the coefficient variation files generated for this project. The coefficient variation download package also includes the original metadata provided by Watershed Sciences, Inc. These metadata files may provide additional useful information that is specific to each file. The metadata files provided by Watershed Sciences, Inc. have not been reviewed for accuracy or compliance with FGDC standards. In addition to information found in the metadata files, specific information about accuracy and quality of lidar data can be found in quality control reports provided by DOGAMI and delivery reports provided by Watershed Sciences, Inc. Individual reports were provided for each delivery set and have been combined by DGGS into comprehensive quality control and delivery reports. These documents are organized according to how data were delivered to DGGS. A description of information pertaining to downloadable files can be found in the quality control and delivery reports. The DGGS metadata standard extends the FGDC standard to also include several elements that are required to facilitate our internal data management. These elements relate individual data items to a common dataset. This dataset describes a single layer titled: >coef_variation: coefficient variation digital surface model raster image true Entity and Attribute Information Entity and Attribute Overview: There are no attributes other than the encoded values for easting and northing coordinates. Entity and Attribute Detail Citation: this report GRID unknown State of Alaska, Department of Natural Resources, 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 http://dx.doi.org/10.14509/23004 GRID CSDGM IMPORT ERROR: No digtinfo/formcont information dataset Horizontal Positional Accuracy Report True horizontal accuracy is regarded as a product of the lidar ground footprint. Lidar is referenced to co-acquired GPS base station data that have accuracies far greater than the value of the lidar footprint. The ground footprint is equal to 1/3333rd of the above - ground flying height. The ground footprint for data collected for this project exceeds typical accuracy of ground control used to reference the lidar data (less than 0.01 meters). Project specifications require the lidar footprint to be between 0.15 and 0.40 meters. Refer to the lidar QC report and lidar delivery report for additional information on horizontal accuracy for individual delivery areas. Lidar data have been checked for accuracy and completeness. Please refer to the lidar delivery report and lidar QC report for details about data accuracy completeness for individual delivery sets. Lidar data have been checked for accuracy and completeness. Please refer to the lidar delivery report and lidar QC report for details about data accuracy completeness for individual delivery sets. Lidar data have been examined to ensure that overlapping flight lines have consistent elevation values. Project specifications require that lidar consistency, measured as vertical offsets between adjacent flight lines, must average less than 0.15 meters. Refer to the lidar QC report and the lidar delivery report for statistics from consistency analyses for individual delivery sets. Flight lines have been examined to ensure that there was at least 60% sidelap and that there are no data gaps. Shaded relief, lidar slope, and bare-earth digital elevation model (DEM) images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. Additionally, all file naming conventions and formats have been checked for consistency and all grids were loaded and inspected for outlier coefficient of variation values and rasters have been inspected to ensure cell values lie between 0 and infinity. This lineage was generated by the FGDC CSDGM to 19139 transformation Acquisition: The lidar data were collected between September and October 2010 and between May and July 2011. The survey used the Leica ALS60 system. Near-nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground-level GPS and aircraft IMU were collected during the flight. 9999-01-01T00:00:00 Processing lidar data: (1) Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. (2) Laser point-return coordinates were computed using ALS Post Processor software, IPAS Pro GPS/INS software, and Waypoint GPS, based on independent data from the lidar system, IMU, and aircraft. (3) The raw lidar file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. (4) Visual inspection of swath-to-swath laser point consistencies in the study area were used to perform manual refinements of system alignment. (5) Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based on randomly selected swath-to-swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll, and yaw-offset parameters optimize internal consistency. (6) Noise (e.g., pits and birds) was filtered using ALS post processing software, based on known elevation ranges, and included the removal of any cycle slips. 9999-01-01T00:00:00 Hydro-flattening: A combination of automated and manual detection and adjustment techniques was used to identify lake boundaries and water levels for closed water bodies with a surface area > 150 square meters. Boundary polygons were developed using an algorithm that weights lidar-derived slopes, intensities, and return densities to detect the lake edge. Once detected, lake edges were manually reviewed and edited in a 3-D environment, and polygons were created with elevations computed from the filtered lidar returns. During the initial ground-modeling process returns from the water surface within each polygon were filtered and inspected for false low points. The elevation of each lake was computed as 5 cm above the minimum elevation of filtered-water surface cells within the lake polygon. Lake-boundary polygons were then incorporated into the final terrain model and enforced as hard breaklines. The initial ground classified-points falling within lake polygons were reclassified as water points and omitted from the final bare-earth DEM. 9999-01-01T00:00:00 Creation of bare-earth DEMs: (1) The TerraScan software suite was used to classify near-ground points. Geometric constraints were used to remove all points not near the earth. The resulting bare-earth ground model was then visually inspected and additional ground modeling was performed in site-specific areas to improve ground detail. (2) The corrected and filtered return points were compared to the real-time kinematic (RTK) ground survey points collected to verify the vertical and horizontal accuracies. (3) Points were output as laser points, TINed and GRIDed. 9999-01-01T00:00:00 Coefficient variation metric was computed in Fusion (McGaughey 2007), which assesses the distribution of above ground elevation of first returns within each cell. Values range from zero (as stdev of height approaches zero) to infinity (as mean height approaches zero). For this dataset all buildings and manmade structures were omitted from analysis. The cell size for computation was 5m. 9999-01-01T00:00:00 A metadata file was created to generally describe data acquisition of lidar and also to describe the digital surface model representing coefficient of variation of the above ground height of vegetation returns for the entire project. 2012-01-01T00:00:00 Source Contribution: Contains information about FUSION/LDV softwareSource Type: paper Fusion/LDV: Software for LIDAR data analysis and visualization 2007-01-01 publication USDA Forest Service Pacific Northwest Research Station publisher McGaughey, R.J. originator SOFTWARE p. 28-30 2007-01-01 otherRestrictions Metadata Use Constraints: If the user has modified this metadata file in any way, the user is obligated to describe the types of modifications the user has made. User specifically agrees not to misrepresent this metadata file, 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. 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 State of Alaska, Department of Natural Resources, Division of Geological & Geophysical Surveys Fairbanks AK 99709-3707 USA pointOfContact