ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING
The principle of exponent Knothe model was introduced in detail and the variation process of mining subsidence with time was analysed based on the formulas of subsidence, subsidence velocity and subsidence acceleration in the paper. Five scenes of radar images and six levelling measurements were col...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-04-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/53/2018/isprs-annals-IV-3-53-2018.pdf |
| _version_ | 1818263973969002496 |
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| author | L. Chen L. Zhang Y. Tang H. Zhang |
| author_facet | L. Chen L. Zhang Y. Tang H. Zhang |
| author_sort | L. Chen |
| collection | DOAJ |
| description | The principle of exponent Knothe model was introduced in detail and the variation process of mining subsidence with time was analysed based on the formulas of subsidence, subsidence velocity and subsidence acceleration in the paper. Five scenes of radar images and six levelling measurements were collected to extract ground deformation characteristics in one coal mining area in this study. Then the unknown parameters of exponent Knothe model were estimated by combined levelling data with deformation information along the line of sight obtained by InSAR technique. By compared the fitting and prediction results obtained by InSAR and levelling with that obtained only by levelling, it was shown that the accuracy of fitting and prediction combined with InSAR and levelling was obviously better than the other that. Therefore, the InSAR measurements can significantly improve the fitting and prediction accuracy of exponent Knothe model. |
| first_indexed | 2024-12-12T19:27:32Z |
| format | Article |
| id | doaj.art-7dd08b24afdd4e86bf8ed0264ba5a230 |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-12T19:27:32Z |
| publishDate | 2018-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-7dd08b24afdd4e86bf8ed0264ba5a2302022-12-22T00:14:28ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502018-04-01IV-3535910.5194/isprs-annals-IV-3-53-2018ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELINGL. Chen0L. Zhang1Y. Tang2H. Zhang3College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, ChinaShandong provincial institute of land surveying and mapping, Jinan, 250102, ChinaKey Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing, 100094, ChinaKey Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, CAS, Beijing, 100094, ChinaThe principle of exponent Knothe model was introduced in detail and the variation process of mining subsidence with time was analysed based on the formulas of subsidence, subsidence velocity and subsidence acceleration in the paper. Five scenes of radar images and six levelling measurements were collected to extract ground deformation characteristics in one coal mining area in this study. Then the unknown parameters of exponent Knothe model were estimated by combined levelling data with deformation information along the line of sight obtained by InSAR technique. By compared the fitting and prediction results obtained by InSAR and levelling with that obtained only by levelling, it was shown that the accuracy of fitting and prediction combined with InSAR and levelling was obviously better than the other that. Therefore, the InSAR measurements can significantly improve the fitting and prediction accuracy of exponent Knothe model.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/53/2018/isprs-annals-IV-3-53-2018.pdf |
| spellingShingle | L. Chen L. Zhang Y. Tang H. Zhang ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING |
| title_full | ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING |
| title_fullStr | ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING |
| title_full_unstemmed | ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING |
| title_short | ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING |
| title_sort | analysis of mining induced subsidence prediction by exponent knothe model combined with insar and leveling |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/53/2018/isprs-annals-IV-3-53-2018.pdf |
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