Optimized landslide susceptibility mapping and modelling using PS-InSAR technique: a case study of Chitral valley, Northern Pakistan
文献类型：期刊论文
| 作者 | Hussain, Sajid1; Sun Hongxing1; Ali, Muhammad1; Sajjad, Meer Muhammad2; Afzal, Zeeshan1; Ali, Sajid3 |
| 刊名 | GEOCARTO INTERNATIONAL
 |
| 出版日期 | 2021-04-11 |
| 页码 | 22 |
| ISSN号 | 1010-6049 |
| 关键词 | Chitral valley frequency ratio logistic regression PS-InSAR ROC |
| 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 |
| 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.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res IGSNRR, Beijing, 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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