Monitoring the Mass Balance of Eklutna Glacier, AK 2023
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DOI: https://doi.org/10.5069/G92N50G8
OT Collection ID: OT.042024.32606.2
OT Collection Name: Monitoring the Mass Balance of Eklutna Glacier, AK 2023
Short Name: AK23_Brisbois
Collection Platform: Airborne Lidar
OT Collection ID: OT.042024.32606.2
OT Collection Name: Monitoring the Mass Balance of Eklutna Glacier, AK 2023
Short Name: AK23_Brisbois
Collection Platform: Airborne Lidar
Download and Access Products:
Point Cloud Data Bulk Download opentopoID: OTLAS.042024.32606.2
Raster Data Bulk Download opentopoID: OTSDEM.042024.32606.2
Point Cloud Data Bulk Download opentopoID: OTLAS.042024.32606.2
Raster Data Bulk Download opentopoID: OTSDEM.042024.32606.2
Collection Overview:
This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska.
Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734
Dataset Citation: Brisbois, C. (2024). Monitoring the Mass Balance of Eklutna Glacier, AK 2023. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G92N50G8. Accessed: 2024-07-27 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: lidar, glaciology, mass balance, Alaska, Eklutna
Survey Date: 07/22/2023
Publication Date: 05/07/2024
This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska.
Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734
Dataset Citation: Brisbois, C. (2024). Monitoring the Mass Balance of Eklutna Glacier, AK 2023. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G92N50G8. Accessed: 2024-07-27 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: lidar, glaciology, mass balance, Alaska, Eklutna
Survey Date: 07/22/2023
Publication Date: 05/07/2024
Data Provider and Roles:
Funder Collector Principal Investigator
Funder Collector Principal Investigator
- Caroline Brisbois - Alaska Pacific University
Total number of points:
479,658,402 pts
Area: 175.44 km2
Point Density: 2.73 pts/m2
Classifications:
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: WGS 84 (ITRF2014) epoch 2023.5568/ UTM Zone 6N Meters [EPSG: 32606]
Vertical: Ellipsoid
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 175.44 km2
Point Density: 2.73 pts/m2
Classifications:
| Class 1 - Unclassified | 23,912,972 |
| Class 2 - Ground | 446,321,820 |
| Class 7 - Low Point (low noise) | 9,423,610 |
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: WGS 84 (ITRF2014) epoch 2023.5568/ UTM Zone 6N Meters [EPSG: 32606]
Vertical: Ellipsoid
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Tile index in shapefile format:
Download
Dataset Extent in GeoJSON format:
Point Cloud: AK23_Brisbois.geojson
Raster: AK23_Brisbois.geojson
Dataset Spatial Bounds: North: 61.28580932836736° South: 61.148943334585226° East: -148.7403819182563° West: -149.10960224360693°
Dataset Extent in GeoJSON format:
Point Cloud: AK23_Brisbois.geojson
Raster: AK23_Brisbois.geojson
Dataset Spatial Bounds: North: 61.28580932836736° South: 61.148943334585226° East: -148.7403819182563° West: -149.10960224360693°