Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China
Luanchuan mining area, which is located in Henan Province, China and characterized by undulating topography and large precipitation, is vulnerable to the landslide disasters. The observations from the space-borne radar (ascending and descending TerraSAR-X) images and the ground-based radar (GPRI-II)...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2022.2134828 |
| _version_ | 1798029185755643904 |
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| author | Zhenhai Wang Jun Hu Yaogang Chen Xiling Liu Jihong Liu Wenqing Wu Yanping Wang |
| author_facet | Zhenhai Wang Jun Hu Yaogang Chen Xiling Liu Jihong Liu Wenqing Wu Yanping Wang |
| author_sort | Zhenhai Wang |
| collection | DOAJ |
| description | Luanchuan mining area, which is located in Henan Province, China and characterized by undulating topography and large precipitation, is vulnerable to the landslide disasters. The observations from the space-borne radar (ascending and descending TerraSAR-X) images and the ground-based radar (GPRI-II) images are integrated to monitor the surface deformations in Luanchuan mining area. Before the integration of the observations from multi-source SAR images, the coordinate systems of multi-source images are required to be unified by geographical projection. However, the accuracy of the commonly used geographical coding will be degraded by external DEM errors and inaccurate satellite orbit, which makes it difficult to achieve the high-precision registration of space-borne and ground-based radar scenes. Therefore, in this paper the iterative closest point (ICP) method is introduced to register the space-borne and ground-based images, yielding sub-pixel registration accuracy. Reasonable weights are then assigned to multi-source observations through Strain Model and Variance Component Estimation (SM-VCE) method, from which the high-precision three-dimensional deformations can be reconstructed. The results show that the maximum deformation rates in the east-west, north-south and vertical directions of Luanchuan mining area from July 20, 2019, to August 1, 2019, are about 0.2, 0.4 and 0.7 mm/day, respectively. The deformations are mainly on the loose slags in the Luanchuan pit rather than the bedrock, as a result of the accumulation of waste slags. Some suggestions on the installation location of ground-based radar are also provided to better combine the space-borne and ground-based observations. |
| first_indexed | 2024-04-11T19:21:09Z |
| format | Article |
| id | doaj.art-ac17ec39a4e04852bb510467287341f0 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-04-11T19:21:09Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-ac17ec39a4e04852bb510467287341f02022-12-22T04:07:18ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132022-12-011312819283910.1080/19475705.2022.2134828Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, ChinaZhenhai Wang0Jun Hu1Yaogang Chen2Xiling Liu3Jihong Liu4Wenqing Wu5Yanping Wang6School of Geosciences and Info-physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-physics, Central South University, Changsha, ChinaSchool of Resources and Safety Engineering, Central South University, Changsha, ChinaSchool of Geosciences and Info-physics, Central South University, Changsha, ChinaSchool of Geosciences and Info-physics, Central South University, Changsha, ChinaRadar Monitoring Technology Laboratory, School of Information Science and Technology, North China University of Technology, Beijing, ChinaLuanchuan mining area, which is located in Henan Province, China and characterized by undulating topography and large precipitation, is vulnerable to the landslide disasters. The observations from the space-borne radar (ascending and descending TerraSAR-X) images and the ground-based radar (GPRI-II) images are integrated to monitor the surface deformations in Luanchuan mining area. Before the integration of the observations from multi-source SAR images, the coordinate systems of multi-source images are required to be unified by geographical projection. However, the accuracy of the commonly used geographical coding will be degraded by external DEM errors and inaccurate satellite orbit, which makes it difficult to achieve the high-precision registration of space-borne and ground-based radar scenes. Therefore, in this paper the iterative closest point (ICP) method is introduced to register the space-borne and ground-based images, yielding sub-pixel registration accuracy. Reasonable weights are then assigned to multi-source observations through Strain Model and Variance Component Estimation (SM-VCE) method, from which the high-precision three-dimensional deformations can be reconstructed. The results show that the maximum deformation rates in the east-west, north-south and vertical directions of Luanchuan mining area from July 20, 2019, to August 1, 2019, are about 0.2, 0.4 and 0.7 mm/day, respectively. The deformations are mainly on the loose slags in the Luanchuan pit rather than the bedrock, as a result of the accumulation of waste slags. Some suggestions on the installation location of ground-based radar are also provided to better combine the space-borne and ground-based observations.https://www.tandfonline.com/doi/10.1080/19475705.2022.2134828ICPSM-VCEground-based radarspace-borne SAR3D deformations |
| spellingShingle | Zhenhai Wang Jun Hu Yaogang Chen Xiling Liu Jihong Liu Wenqing Wu Yanping Wang Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China Geomatics, Natural Hazards & Risk ICP SM-VCE ground-based radar space-borne SAR 3D deformations |
| title | Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China |
| title_full | Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China |
| title_fullStr | Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China |
| title_full_unstemmed | Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China |
| title_short | Integration of ground-based and space-borne radar observations for three-dimensional deformations reconstruction: application to Luanchuan mining area, China |
| title_sort | integration of ground based and space borne radar observations for three dimensional deformations reconstruction application to luanchuan mining area china |
| topic | ICP SM-VCE ground-based radar space-borne SAR 3D deformations |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2022.2134828 |
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