Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023
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DOI: https://doi.org/10.5069/G9DZ06JZ
OT Collection ID: OT.072024.6344.1
OT Collection Name: Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023
Short Name: TX23_Nelson
Collection Platform: Airborne Lidar
OT Collection ID: OT.072024.6344.1
OT Collection Name: Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023
Short Name: TX23_Nelson
Collection Platform: Airborne Lidar
Download and Access Products:
| Point Cloud Data | Bulk Download | opentopoID: OTLAS.072024.6344.1 | |
| Raster Data | Bulk Download | opentopoID: OTSDEM.072024.6344.1 |
Collection Overview:
This lidar dataset was collected as part of an NCALM Seed grant for Mariel Nelson at the University of Texas at Austin. This dataset was collected to help characterize alluvial channel bank erosion with time-lapse airborne and UAV lidar. The dataset was collected northeast of Houston, TX, over the Trinity River.
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: Nelson, M. (2024). Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9DZ06JZ. Accessed: 2024-12-21 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: lidar, Trinity, topography, geomorphology, hydrology, UAV
Survey Date: 09/19/2023
Publication Date: 07/30/2024
This lidar dataset was collected as part of an NCALM Seed grant for Mariel Nelson at the University of Texas at Austin. This dataset was collected to help characterize alluvial channel bank erosion with time-lapse airborne and UAV lidar. The dataset was collected northeast of Houston, TX, over the Trinity River.
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: Nelson, M. (2024). Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9DZ06JZ. Accessed: 2024-12-21 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: lidar, Trinity, topography, geomorphology, hydrology, UAV
Survey Date: 09/19/2023
Publication Date: 07/30/2024
Data Provider and Roles:
Funder Collector Principal Investigator
Funder Collector Principal Investigator
- Mariel Nelson - University of Texas at Austin
Total number of points:
2,486,979,776 pts
Area: 50.42 km2
Point Density: 49.33 pts/m2
Classifications:
Raster Resolution: 0.5 meter
Coordinate System:
Horizontal: NAD83 (2011) (EPOCH:2010) / UTM Zone 15N Meters [EPSG: 6344]
Vertical: NAVD88 (GEOID 18) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 50.42 km2
Point Density: 49.33 pts/m2
Classifications:
| Class 1 - Unclassified | 2,275,092,256 |
| Class 2 - Ground | 211,857,217 |
| Class 7 - Low Point (low noise) | 352 |
| Class 18 - High Noise | 29,951 |
Raster Resolution: 0.5 meter
Coordinate System:
Horizontal: NAD83 (2011) (EPOCH:2010) / UTM Zone 15N Meters [EPSG: 6344]
Vertical: NAVD88 (GEOID 18) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Tile index in shapefile format:
Download
Dataset Extent in GeoJSON format:
Point Cloud: TX23_Nelson.geojson
Raster: TX23_Nelson.geojson
Dataset Spatial Bounds: North: 30.192645729425937° South: 30.060041212762147° East: -94.7845936024764° West: -94.83968004478147°
Dataset Extent in GeoJSON format:
Point Cloud: TX23_Nelson.geojson
Raster: TX23_Nelson.geojson
Dataset Spatial Bounds: North: 30.192645729425937° South: 30.060041212762147° East: -94.7845936024764° West: -94.83968004478147°