Landslide Susceptibility Mapping Using Landslide Numerical Risk Factor Model and Landslide Inventory Prepared Through OBIA in Chenab Valley, Jammu and Kashmir (India)

被引:13
作者
Patil, Abhijit S. [1 ]
Bhadra, Bidyut K. [2 ]
Panhalkar, Sachin S. [1 ]
Patil, Prashant T. [1 ]
机构
[1] Shivaji Univ, Dept Geog, Kolhapur, Maharashtra, India
[2] ISRO, NRSC, Reg Remote Sensing Ctr West, Jodhpur, Rajasthan, India
关键词
LNRF; Remote sensing; GIS; Landslide; IMAGE-ANALYSIS; HAZARD;
D O I
10.1007/s12524-019-01092-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A landslide is the movement of rock, debris or earth down along the slope under the gravity. It may cause to loss of people's life and their private and public properties. Landslide is a common hazard in steep slope areas, especially during the rainy season. A study of landslide helps urban planners, engineers and local communities to reduce losses caused by existing and future landslides by means of prevention, mitigation and avoidance. Therefore, the prime aim of this paper is to produce acceptable landslide hazard map for Chenab valley, Jammu and Kashmir. Semiautomatic extraction of the landslide is a suitable method that has been used in this paper to extract the location and extent of the landslides. IRS LISS-IV and CartoDEM have been used for object-based image analysis to extract and prepare a landslide inventory map. About 84 landslide potential sites have been identified by the semiautomatic extraction approach. Landslide numerical risk factor model is derived by using thirteen thematic layers with landslide inventory to prepare the landslide hazard map. The result showed that 21% area of the Chenab valley is falling under the very high hazard zone category of the landslide. The final result of the investigation will definitely be useful in the decision-making procedure at the time of emergency and will be used to prepare a preparedness plan for high-risk areas of Chenab valley. The ROC curve method is used for accuracy assessment that signifies the acceptable result for landslide susceptibility zonation of Chenab valley with 0.956 AUC value.
引用
收藏
页码:431 / 449
页数:19
相关论文
共 18 条
  • [1] Antunes F., 2003, ANAIS 11 SBSR, P273
  • [2] High spatial resolution satellite imagery, DEM derivatives, and image segmentation for the detection of mass wasting processes
    Barlow, John
    Franklin, Steven
    Martin, Yvonne
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2006, 72 (06) : 687 - 692
  • [3] Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran
    Blaschke, Thomas
    Feizizadeh, Bakhtiar
    Hoelbling, Daniel
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (12) : 4806 - 4817
  • [4] Geographic Object-Based Image Analysis - Towards a new paradigm
    Blaschke, Thomas
    Hay, Geoffrey J.
    Kelly, Maggi
    Lang, Stefan
    Hofmann, Peter
    Addink, Elisabeth
    Feitosa, Raul Queiroz
    van der Meer, Freek
    van der Werff, Harald
    van Coillie, Frieke
    Tiede, Dirk
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2014, 87 : 180 - 191
  • [5] Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery
    Borghuis, A. M.
    Chang, K.
    Lee, H. Y.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (7-8) : 1843 - 1856
  • [6] Object-based change detection
    Chen, Gang
    Hay, Geoffrey J.
    Carvalho, Luis M. T.
    Wulder, Michael A.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2012, 33 (14) : 4434 - 4457
  • [7] Cozier M, 1986, LANDSLIDES CAUSES CO, P07097
  • [8] LANDSLIDE HAZARD ZONING USING THE GIS APPROACH - A CASE-STUDY FROM THE RAMGANGA CATCHMENT, HIMALAYAS
    GUPTA, RP
    JOSHI, BC
    [J]. ENGINEERING GEOLOGY, 1990, 28 (1-2) : 119 - 131
  • [9] A Semi-Automated Object-Based Approach for Landslide Detection Validated by Persistent Scatterer Interferometry Measures and Landslide Inventories
    Hoelbling, Daniel
    Fuereder, Petra
    Antolini, Francesco
    Cigna, Francesca
    Casagli, Nicola
    Lang, Stefan
    [J]. REMOTE SENSING, 2012, 4 (05): : 1310 - 1336
  • [10] Change detection from remotely sensed images: From pixel-based to object-based approaches
    Hussain, Masroor
    Chen, Dongmei
    Cheng, Angela
    Wei, Hui
    Stanley, David
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2013, 80 : 91 - 106