Bishkek city, Kazakhstan, 2013 (derived from Pleiades tristereo imagery)
This dataset is a pointcloud over Bishkek city, Kyrgyzstan, derived from Pleiades tristereo optical imagery acquired in 2013. The pointcloud was produced using Agisoft Metashape (version 1.6.2). The raw imagery was 0.5m resolution Pleiades tristereo imagery, which was processed in Agisoft with High accuracy alignment parameters, and the depth maps were produced using Ultra high quality and Mild filtering. The original 202,403 tiepoints were filtered down to 153,326 before creation of the dense clouds by removing tie-points with a projection accuracy of greater than 5. The image has been cropped slightly at the edges to remove edge artefacts.
More information about this dataset, the images that were used to construct the pointcloud and how the co-registration was performed can be found in the associated manuscript:
Amey RMJ, Elliott J, Watson C, Walker R, Pagani M, Silva V, Hussain E, Abdrakhmatov K, Baikulov S, Tilek kyzy G, Improving urban seismic risk estimates for Bishkek, Kyrgyzstan, from improved geological knowledge of hazards, submitted 2021
This work has been supported by the the Royal Society GCRF Challenge grant (CHG\R1\170038) and the NERC Innovation award (grant number NE/S013911/1). JRE is supported by a Royal Society University Research fellowship (UF150282), CSW is funded by COMET and the GCRF Urban Disaster Risk Hub (NE/S009000/1), RTW is supported through the NATO Science for Peace and Security Program (Multi-year project G5690).
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "000:00" ] |
| contactPoint |
{ "fn": "OpenTopography Support", "@type": "vcard:Contact", "hasEmail": "mailto:info@opentopography.org" } |
| description | This dataset is a pointcloud over Bishkek city, Kyrgyzstan, derived from Pleiades tristereo optical imagery acquired in 2013. The pointcloud was produced using Agisoft Metashape (version 1.6.2). The raw imagery was 0.5m resolution Pleiades tristereo imagery, which was processed in Agisoft with High accuracy alignment parameters, and the depth maps were produced using Ultra high quality and Mild filtering. The original 202,403 tiepoints were filtered down to 153,326 before creation of the dense clouds by removing tie-points with a projection accuracy of greater than 5. The image has been cropped slightly at the edges to remove edge artefacts. More information about this dataset, the images that were used to construct the pointcloud and how the co-registration was performed can be found in the associated manuscript: Amey RMJ, Elliott J, Watson C, Walker R, Pagani M, Silva V, Hussain E, Abdrakhmatov K, Baikulov S, Tilek kyzy G, Improving urban seismic risk estimates for Bishkek, Kyrgyzstan, from improved geological knowledge of hazards, submitted 2021 This work has been supported by the the Royal Society GCRF Challenge grant (CHG\R1\170038) and the NERC Innovation award (grant number NE/S013911/1). JRE is supported by a Royal Society University Research fellowship (UF150282), CSW is funded by COMET and the GCRF Urban Disaster Risk Hub (NE/S009000/1), RTW is supported through the NATO Science for Peace and Security Program (Multi-year project G5690). |
| distribution |
[ { "@type": "dcat:Distribution", "title": "OpenTopography Data Download Page", "accessURL": "https://doi.org/10.5069/G92R3PW6", "mediaType": "text/html" } ] |
| identifier | OTDS.092021.32643.1 |
| keyword |
[ "Bishkek city", "Kyrgyzstan", "Pleiades", "Tien Shan", "community-dataspace", "imagery", "optical", "tristereo" ] |
| license | https://creativecommons.org/licenses/by/4.0 |
| modified | 2021-09-27 |
| programCode |
[ "000:000" ] |
| publisher |
{ "name": "OpenTopography", "@type": "org:Organization" } |
| spatial | 74.46,42.79,74.71,42.94 |
| title | Bishkek city, Kazakhstan, 2013 (derived from Pleiades tristereo imagery) |