Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan

doi:10.1080/10106049.2021.1914750

	Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan
	Hussain, Sajid 2; Sun Hongxing 2; Ali, Muhammad 2; Sajjad, Meer Muhammad 1; Afzal, Zeeshan 2; Ali, Sajid 3
刊名	GEOCARTO INTERNATIONAL
	2021-04-11
页码	22
关键词	Chitral valley frequency ratio logistic regression PS-InSAR ROC
ISSN号	1010-6049
DOI	10.1080/10106049.2021.1914750
通讯作者	Ali, Muhammad(muhammadali.geo1@gmail.com)
英文摘要	Chitral valley lies in the eastern Hindu Kush range, one of the hotspot of landslide activities that leads to loss of lives and economy. Comprehensive landslide inventory and Landslide susceptibility provide the basic information to analyses and medicate the landslide activities which are not available for the area. Probabilistic and statistical methods have been using to develop susceptibility maps but limitations are countered to assess high accuracy. In this study Persistent Scatterer Interferometric Synthetic Aperture Radar (PS-InSAR) technique has been applied to estimate the slope deformation velocity (Vslope), which can be used to optimize the landslide susceptibility map for the study area. The frequency ratio and logistic regression models were applied for comparative assessment and to forecast the correlation between causative factors and landslide occurrence. Area Under Curve (AUC) of Receiver Operating Characteristic (ROC) curve approach was used for accuracy comparison of both models which showed 75.45% and 85.61% accuracy for FR and LR respectively. LR method's result was found superior and combined with the results of PS-InSAR to extract new Landslide Susceptibility Mapping (LSM) for the area which removed misclassifications in the results. This optimized susceptibility model will be helpful to mitigate the landslide disaster and provide support to authorities in the management of different development programs in the study area.
WOS关键词	REMOTE-SENSING DATA ; LOGISTIC-REGRESSION ; FREQUENCY RATIO ; KARAKORAM HIGHWAY ; LAND SUBSIDENCE ; HINDU-KUSH ; GIS ; HAZARD ; AREA ; EVOLUTION
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000651258100001
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162879]
专题	中国科学院地理科学与资源研究所
通讯作者	Ali, Muhammad
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Beijing, Peoples R China 2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China 3.Wuhan Univ, Sch Water Resources & Hydropower Engn, Wuhan, Peoples R China
推荐引用方式 GB/T 7714	Hussain, Sajid,Sun Hongxing,Ali, Muhammad,et al. Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan[J]. GEOCARTO INTERNATIONAL,2021:22.
APA	Hussain, Sajid,Sun Hongxing,Ali, Muhammad,Sajjad, Meer Muhammad,Afzal, Zeeshan,&Ali, Sajid.(2021).Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan.GEOCARTO INTERNATIONAL,22.
MLA	Hussain, Sajid,et al."Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan".GEOCARTO INTERNATIONAL (2021):22.