Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil
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DOI: https://doi.org/10.5069/G9DN430Z
OT Collection ID: OT.032013.32722.1
OT Collection Name: Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil
Short Name: DUNES_BRA
Collection Platform: Airborne Lidar
OT Collection ID: OT.032013.32722.1
OT Collection Name: Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil
Short Name: DUNES_BRA
Collection Platform: Airborne Lidar
Download and Access Products:
| Point Cloud Data | Bulk Download | opentopoID: OTLAS.032013.32722.1 |
Collection Overview:
Dataset Acknowledgement: Data provided by FAPESP grant 2009/17675-5.
Grohmann, C.H., Sawakuchi, A.O., 2013. Influence of cell size on volume calculation using digital terrain models: a case of coastal dune fields. Geomorphology, 180-181:130-136. http://dx.doi.org/10.1016/j.geomorph.2012.09.012
Dataset Citation: Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil. Distributed by OpenTopography. https://doi.org/10.5069/G9DN430Z . Accessed: 2024-12-21 Copied to Clipboard
Use License: Not Provided
Dataset Keywords: Coastal dune field, Quaternary, Brazil, lidar
Survey Date: 10/18/2010
Publication Date: 03/11/2013
PI: Carlos H. Grohmann, University of Sao Paulo, Brazil. Data covers a 10 square kilometer area of two coastal dune fields (Garopaba and Vila Nova) in southern Brazil and was collected October 18, 2010. The purpose of the survey was to investigate the morphometry and evolution of coastal dune fields.
Dataset Acknowledgement: Data provided by FAPESP grant 2009/17675-5.
Grohmann, C.H., Sawakuchi, A.O., 2013. Influence of cell size on volume calculation using digital terrain models: a case of coastal dune fields. Geomorphology, 180-181:130-136. http://dx.doi.org/10.1016/j.geomorph.2012.09.012
Dataset Citation: Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil. Distributed by OpenTopography. https://doi.org/10.5069/G9DN430Z . Accessed: 2024-12-21 Copied to Clipboard
Use License: Not Provided
Dataset Keywords: Coastal dune field, Quaternary, Brazil, lidar
Survey Date: 10/18/2010
Publication Date: 03/11/2013
Data Provider and Roles:
Funder Partner Collector
Funder Partner Collector
Total number of points:
21,277,716 pts
Area: 10 km2
Point Density: 2.13 pts/m2
Classifications:
Coordinate System:
Horizontal: WGS84 / UTM Zone 22S Meters [EPSG: 32722]
Vertical: WGS84 (Ellipsoid)
Units: meter
Survey Report: Reports
LAS Validation Data Report: DUNES_BRA.html
Area: 10 km2
Point Density: 2.13 pts/m2
Classifications:
| Class 2 - Ground | 13,117,982 |
| Class 3 - Low Vegetation | 4,846,062 |
| Class 4 - Medium Vegetation | 1,122,343 |
| Class 5 - High Vegetation | 1,996,628 |
| Class 8 - Model Key/Reserved | 194,701 |
Coordinate System:
Horizontal: WGS84 / UTM Zone 22S Meters [EPSG: 32722]
Vertical: WGS84 (Ellipsoid)
Units: meter
Survey Report: Reports
LAS Validation Data Report: DUNES_BRA.html
Tile index in shapefile format:
Download
Dataset Extent in GeoJSON format: DUNES_BRA.geojson
Dataset Spatial Bounds: North: -27.9807170823284° South: -28.3230054616145° East: -48.627320472854° West: -48.7272551573783°
Dataset Extent in GeoJSON format: DUNES_BRA.geojson
Dataset Spatial Bounds: North: -27.9807170823284° South: -28.3230054616145° East: -48.627320472854° West: -48.7272551573783°