2013 Balochistan earthquake, Pakistan
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DOI: https://doi.org/10.5069/G9VD6WJ1
OT Collection ID: OT.012018.32641.1
OT Collection Name: 2013 Balochistan earthquake, Pakistan
Short Name: Balochistan13
Collection Platform: Structure from Motion / Photogrammetry
OT Collection ID: OT.012018.32641.1
OT Collection Name: 2013 Balochistan earthquake, Pakistan
Short Name: Balochistan13
Collection Platform: Structure from Motion / Photogrammetry
Metadata Download:
ISO 19115 (Data)
Plain Text
Collection Overview:
This point cloud datatset covers a 5 km wide swath along an approximately 240 km long section of the 2013 Balochistan earthquake rupture in Pakistan. Point cloud data produced from 13 stereo data sets of 0.5 m resolution, panchromatic Pleiades images acquired by Airbus (funded by NERC, UK). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7.
For further details see: Zhou, Y., J. R. Elliott, B. Parsons, and R. T. Walker (2015), The 2013 Balochistan earthquake: An extraordinary or completely ordinary event?, Geophysical Research Letters, 43(7), 3134-3142, doi:10.1002/2015GL065096
Dataset Acknowledgement: Point cloud constructed from data acquired by Airbus Defence and Space (Pleiades) and funded by the Natural Environment Research Council (NE/K011006/1), UK.
Dataset Citation: Zhou, Y., J. R. Elliott, B. Parsons, and R. T. Walker (2015), The 2013 Balochistan earthquake: An extraordinary or completely ordinary event?, Geophysical Research Letters, 43(7), 3134-3142. https://doi.org/10.5069/G9VD6WJ1.. Accessed: 2024-04-25
Use License: Not Provided
Dataset Keywords: Balochistan earthquake 2013, Hoshab Fault, Pakistan, Pleiades, lidar
Survey Date: 03/15/2014 - 04/05/2014
Publication Date: 01/31/2018
This point cloud datatset covers a 5 km wide swath along an approximately 240 km long section of the 2013 Balochistan earthquake rupture in Pakistan. Point cloud data produced from 13 stereo data sets of 0.5 m resolution, panchromatic Pleiades images acquired by Airbus (funded by NERC, UK). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7.
For further details see: Zhou, Y., J. R. Elliott, B. Parsons, and R. T. Walker (2015), The 2013 Balochistan earthquake: An extraordinary or completely ordinary event?, Geophysical Research Letters, 43(7), 3134-3142, doi:10.1002/2015GL065096
Dataset Acknowledgement: Point cloud constructed from data acquired by Airbus Defence and Space (Pleiades) and funded by the Natural Environment Research Council (NE/K011006/1), UK.
Dataset Citation: Zhou, Y., J. R. Elliott, B. Parsons, and R. T. Walker (2015), The 2013 Balochistan earthquake: An extraordinary or completely ordinary event?, Geophysical Research Letters, 43(7), 3134-3142. https://doi.org/10.5069/G9VD6WJ1.. Accessed: 2024-04-25
Use License: Not Provided
Dataset Keywords: Balochistan earthquake 2013, Hoshab Fault, Pakistan, Pleiades, lidar
Survey Date: 03/15/2014 - 04/05/2014
Publication Date: 01/31/2018
Data Provider and Roles:
Funders Collector
Funders Collector
Total number of points: 1,821,390,716 pts
Area: 1,280 km2
Point Density: 1.42 pts/m2
Classifications:
Coordinate System:
Horizontal: WGS84 / UTM Zone 41N Meters [EPSG: 32641]
Vertical: WGS84 [EPSG: 4326]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Balochistan13.html
Area: 1,280 km2
Point Density: 1.42 pts/m2
Classifications:
| Class 0 - Never classified | 1,820,093,408 |
| Class 7 - Low Point (low noise) | 1,297,308 |
Coordinate System:
Horizontal: WGS84 / UTM Zone 41N Meters [EPSG: 32641]
Vertical: WGS84 [EPSG: 4326]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Balochistan13.html
Tile index in shapefile format: Download
Dataset Extent in KMZ format: Download
Dataset Spatial Bounds: North: 27.5557958526486° South: 26.0390997640875° East: 65.7939724819964° West: 64.0785982265901°
Dataset Extent in KMZ format: Download
Dataset Spatial Bounds: North: 27.5557958526486° South: 26.0390997640875° East: 65.7939724819964° West: 64.0785982265901°