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...

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Main Authors:	L. Chen, L. Zhang, Y. Tang, H. Zhang
Format:	Article
Language:	English
Published:	Copernicus Publications 2018-04-01
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

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record_format	Article
spelling	doaj-7dd08b24afdd4e86bf8ed0264ba5a2302020-11-24T21:17:50ZengCopernicus 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
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	L. Chen L. Zhang Y. Tang H. Zhang
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
author_facet	L. Chen L. Zhang Y. Tang H. Zhang
author_sort	L. Chen
title	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_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_sort	analysis of mining-induced subsidence prediction by exponent knothe model combined with insar and leveling
publisher	Copernicus Publications
series	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn	2194-9042 2194-9050
publishDate	2018-04-01
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.
url	https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-3/53/2018/isprs-annals-IV-3-53-2018.pdf
work_keys_str_mv	AT lchen analysisofmininginducedsubsidencepredictionbyexponentknothemodelcombinedwithinsarandleveling AT lzhang analysisofmininginducedsubsidencepredictionbyexponentknothemodelcombinedwithinsarandleveling AT ytang analysisofmininginducedsubsidencepredictionbyexponentknothemodelcombinedwithinsarandleveling AT hzhang analysisofmininginducedsubsidencepredictionbyexponentknothemodelcombinedwithinsarandleveling
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ANALYSIS OF MINING-INDUCED SUBSIDENCE PREDICTION BY EXPONENT KNOTHE MODEL COMBINED WITH INSAR AND LEVELING

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