Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico
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DOI: https://doi.org/10.5069/G9H70CZ3
OT Collection ID: OT.102019.32616.1
OT Collection Name: Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico
Short Name: MX17_Stanton
Collection Platform: Airborne Lidar
OT Collection ID: OT.102019.32616.1
OT Collection Name: Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico
Short Name: MX17_Stanton
Collection Platform: Airborne Lidar
Metadata Download:
ISO 19115 (Data)
Plain Text
Download and Access Products:
Point Cloud Data opentopoID: OTLAS.102019.32616.1
Raster Data opentopoID: OTSDEM.102019.32616.1
Point Cloud Data opentopoID: OTLAS.102019.32616.1
Raster Data opentopoID: OTSDEM.102019.32616.1
Collection Overview:
Data was collected between April 29 and May 03, 2017 as part of a lidar survey along the Yucatan Peninsula and San Gervasio, Mexico. This data was collected by NCALM for Travis Stanton in the Anthropology Department at University of California, Riverside. Approximately 438 km2 of high resolution data were collected for this project.
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-1339015.
Dataset Citation: Stanton, T. (2019). Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9H70CZ3.. Accessed: 2024-04-25
Use License: CC BY 4.0
Dataset Keywords: lidar, mexico, Yucatan, San Gervasio, cancun, Chichen, COBA, Tulum,
Survey Date: 04/29/2017 - 05/03/2017
Publication Date: 11/06/2019
Data was collected between April 29 and May 03, 2017 as part of a lidar survey along the Yucatan Peninsula and San Gervasio, Mexico. This data was collected by NCALM for Travis Stanton in the Anthropology Department at University of California, Riverside. Approximately 438 km2 of high resolution data were collected for this project.
Publications associated with this dataset can be found at NCALM's Data Tracking Center
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-1339015.
Dataset Citation: Stanton, T. (2019). Lidar Transects along Yucatan Peninsula and San Gervasio, Mexico. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9H70CZ3.. Accessed: 2024-04-25
Use License: CC BY 4.0
Dataset Keywords: lidar, mexico, Yucatan, San Gervasio, cancun, Chichen, COBA, Tulum,
Survey Date: 04/29/2017 - 05/03/2017
Publication Date: 11/06/2019
Data Provider and Roles:
Funder Collector Principal Investigator
Funder Collector Principal Investigator
- Travis Stanton - University of California, Riverside
Total number of points: 18,357,188,974 pts
Area: 438.66 km2
Point Density: 41.85 pts/m2
Classifications:
Raster Resolution: 0.5 meter
Coordinate System:
Horizontal: UTM Zone 16N Meters [EPSG: 32616]
Vertical: WGS84 [EPSG: 4326]
Units: meter
Survey Report: Reports
LAS Validation Data Report: MX17_Stanton.html
Area: 438.66 km2
Point Density: 41.85 pts/m2
Classifications:
| Class 1 - Unclassified | 32,253,884 |
| Class 2 - Ground | 5,091,404,803 |
| Class 3 - Low Vegetation | 801,678,534 |
| Class 4 - Medium Vegetation | 4,295,193,086 |
| Class 5 - High Vegetation | 8,136,648,007 |
| Class 7 - Low Point (low noise) | 10,660 |
Raster Resolution: 0.5 meter
Coordinate System:
Horizontal: UTM Zone 16N Meters [EPSG: 32616]
Vertical: WGS84 [EPSG: 4326]
Units: meter
Survey Report: Reports
LAS Validation Data Report: MX17_Stanton.html
Tile index in shapefile format: Download
Dataset Extent in KMZ format: Download
Dataset Spatial Bounds: North: 20.8335309370669° South: 20.3106342758754° East: -86.8188815900011° West: -89.057450881756°
Dataset Extent in KMZ format: Download
Dataset Spatial Bounds: North: 20.8335309370669° South: 20.3106342758754° East: -86.8188815900011° West: -89.057450881756°