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  5. Precise Topographic Model Assisted Slope Displacement Retrieval from Small Baseline Subsets Results: Case Study over a High and Steep Mining Slope
 
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Precise Topographic Model Assisted Slope Displacement Retrieval from Small Baseline Subsets Results: Case Study over a High and Steep Mining Slope

Author(s)
Wei, Lianhuan  
nstitute for Geo-Informatics and Digital Mine Research, School of Resources and Civil Engineering,Northeastern University, Shenyang 110819, China  
Feng, Qiuyue  
nstitute for Geo-Informatics and Digital Mine Research, School of Resources and Civil Engineering,Northeastern University, Shenyang 110819, China  
Liu, Feiyue  
Center for Rock Instability and Seismicity Research, School of Resources and Civil Engineering,Northeastern University, Shenyang 110819, China  
Mao, Yachun  
nstitute for Geo-Informatics and Digital Mine Research, School of Resources and Civil Engineering,Northeastern University, Shenyang 110819, China  
Liu, Shanjun  
nstitute for Geo-Informatics and Digital Mine Research, School of Resources and Civil Engineering,Northeastern University, Shenyang 110819, China  
Yang, Tianhong  
Center for Rock Instability and Seismicity Research, School of Resources and Civil Engineering,Northeastern University, Shenyang 110819, China  
Tolomei, Cristiano  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Bignami, Christian  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Wu, Lixin  
School of Geosciences and Info-Physics, Central South University, Changsha 410083, Chi  
Language
English
Obiettivo Specifico
7SR AMBIENTE – Servizi e ricerca per la società
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Sensors (Basel, Switzerland)  
Issue/vol(year)
/20 (2020)
Publisher
MDPI
Pages (printed)
6674
Date Issued
November 21, 2020
DOI
10.3390/s20226674
URI
https://www.earth-prints.org/handle/2122/14157
Subjects
04.03. Geodesy  
Subjects

digital elevation mod...

Abstract
Due to the intrinsic side-looking geometry of synthetic aperture radar (SAR), time series interferometric SAR is only able to monitor displacements in line-of-sight (LOS) direction, which limits the accuracy of displacement measurement in landslide monitoring. This is because the LOS displacement is only a three dimensional projection of real displacement of a certain ground object. Targeting at this problem, a precise digital elevation model (DEM) assisted slope displacement retrieval method is proposed and applied to a case study over the high and steep slope of the Dagushan open pit mine. In the case study, the precise DEM generated by laser scanning is first used to minimize topographic residuals in small baseline subsets analysis. Then, the LOS displacements are converted to slope direction with assistance of the precise DEM. By comparing with ground measurements, relative root mean square errors (RMSE) of the estimated slope displacements reach approximately 12-13% for the ascending orbit, and 5.4-9.2% for the descending orbit in our study area. In order to validate the experimental results, comparison with microseism monitoring results is also conducted. Moreover, both results have found that the largest slope displacements occur on the slope part, with elevations varying from -138 m to -210 m, which corresponds to the landslide area. Moreover, there is a certain correlation with precipitation, as revealed by the displacement time series. The outcome of this article shows that rock mass structure, lithology, and precipitation are main factors affecting the stability of high and steep mining slopes.
Type
article
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Wei_2020_Sensors.pdf

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