THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND

The change of urban construction land affect the subsidence directly or indirectly, the method of D-InSAR has centimeter level or even millimeter accuracy that can provide a reliable and accurate data for the research of correlation analysis of subsidence monitoring by D-InSAR and the change of urba...

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Main Authors: K. J. Yang, X. X. Jiang, L. Cao, F. Lei, H. Zeng, Z. Zhang
Format: Article
Language:English
Published: Copernicus Publications 2017-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/311/2017/isprs-archives-XLII-1-W1-311-2017.pdf
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spelling doaj-22a091756f5543a2bc7d105b1afc681f2020-11-24T21:16:06ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-05-01XLII-1-W131131510.5194/isprs-archives-XLII-1-W1-311-2017THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LANDK. J. Yang0X. X. Jiang1L. Cao2F. Lei3H. Zeng4Z. Zhang5Hunan land and Resources Planning Institute, Hunan, People's Republic of ChinaHunan land and Resources Planning Institute, Hunan, People's Republic of ChinaHunan land and Resources Planning Institute, Hunan, People's Republic of ChinaHunan land and Resources Planning Institute, Hunan, People's Republic of ChinaHunan land and Resources Planning Institute, Hunan, People's Republic of ChinaHunan land and Resources Planning Institute, Hunan, People's Republic of ChinaThe change of urban construction land affect the subsidence directly or indirectly, the method of D-InSAR has centimeter level or even millimeter accuracy that can provide a reliable and accurate data for the research of correlation analysis of subsidence monitoring by D-InSAR and the change of urban construction land. This article takes Guiyang, Nanning city as example, using 3m level TerraSAR data to construct the Subsidence model by interferometric measurement, then compared with the Chinese national land use change remote sensing survey database at the same measure time to have a correlation analysis GIS research between subsidence and the change of urban construction land. The results shows that the integral correlation coefficient achieved 0.78 between subsidence and the change of urban construction land, the major construction area and the high density construction area are with severe land subsidence. In addition, the correlation coefficient increased from the main city to the suburbs, indicates that some of the main city causes permanent settlement and is difficult to recover. It also shows that some area subsidence caused by long-term mining or other natural factors has no strong correlation with the change of urban construction land, therefore, the results of D-InSAR subsidence monitoring have a reaction on urban construction planning, guiding urban planning to high stability, low settlement area.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/311/2017/isprs-archives-XLII-1-W1-311-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. J. Yang
X. X. Jiang
L. Cao
F. Lei
H. Zeng
Z. Zhang
spellingShingle K. J. Yang
X. X. Jiang
L. Cao
F. Lei
H. Zeng
Z. Zhang
THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet K. J. Yang
X. X. Jiang
L. Cao
F. Lei
H. Zeng
Z. Zhang
author_sort K. J. Yang
title THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND
title_short THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND
title_full THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND
title_fullStr THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND
title_full_unstemmed THE CORRELATION ANALYSIS OF SUBSIDENCE MONITORING BY D-INSAR AND THE CHANGE OF URBAN CONSTRUCTION LAND
title_sort correlation analysis of subsidence monitoring by d-insar and the change of urban construction land
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2017-05-01
description The change of urban construction land affect the subsidence directly or indirectly, the method of D-InSAR has centimeter level or even millimeter accuracy that can provide a reliable and accurate data for the research of correlation analysis of subsidence monitoring by D-InSAR and the change of urban construction land. This article takes Guiyang, Nanning city as example, using 3m level TerraSAR data to construct the Subsidence model by interferometric measurement, then compared with the Chinese national land use change remote sensing survey database at the same measure time to have a correlation analysis GIS research between subsidence and the change of urban construction land. The results shows that the integral correlation coefficient achieved 0.78 between subsidence and the change of urban construction land, the major construction area and the high density construction area are with severe land subsidence. In addition, the correlation coefficient increased from the main city to the suburbs, indicates that some of the main city causes permanent settlement and is difficult to recover. It also shows that some area subsidence caused by long-term mining or other natural factors has no strong correlation with the change of urban construction land, therefore, the results of D-InSAR subsidence monitoring have a reaction on urban construction planning, guiding urban planning to high stability, low settlement area.
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/311/2017/isprs-archives-XLII-1-W1-311-2017.pdf
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