GIS-based Landslide Susceptibility Analysis-Taking Middle and Upper Reaches of Nujiang River for Example

被引:0
|
作者
Wu, Fengqiang [1 ]
Wang, Weihong [1 ]
Zuo, Sansheng
机构
[1] SW Univ Sci & Technol, Coll Resources & Environm, Mianyang 621010, Sichuan, Peoples R China
关键词
Certainty Factor; Spatial Analysis; GIS;
D O I
10.4028/www.scientific.net/AMR.518-523.4726
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
65 landslides were interpreted from multi-source satellite image and investigation. And then, the seven factors that influence landslide susceptibility, including stratum, NDVI, faults, drainage, DEM, gradient and aspect were created in raster data format based on GIS and calculated the proportion of landslide disasters in each factors by its CF value using the certainty factor analysis method.
引用
收藏
页码:4726 / 4734
页数:9
相关论文
共 50 条
  • [1] The evaluation and the sensitivity analysis of GIS-based landslide susceptibility models
    Chang, H
    Kim, NK
    GEOSCIENCES JOURNAL, 2004, 8 (04) : 415 - 423
  • [2] The evaluation and the sensitivity analysis of GIS-based landslide susceptibility models
    Hoon Chang
    Nak Kyong Kim
    Geosciences Journal, 2004, 8 : 415 - 423
  • [3] A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India
    Basu, Tirthankar
    Pal, Swades
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2020, 22 (05) : 4787 - 4819
  • [4] A GIS-based factor clustering and landslide susceptibility analysis using AHP for Gish River Basin, India
    Tirthankar Basu
    Swades Pal
    Environment, Development and Sustainability, 2020, 22 : 4787 - 4819
  • [5] Earth Observation and GIS-Based Analysis for Landslide Susceptibility and Risk Assessment
    Psomiadis, Emmanouil
    Charizopoulos, Nikos
    Efthimiou, Nikolaos
    Soulis, Konstantinos X.
    Charalampopoulos, Ioannis
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (09)
  • [6] GIS-BASED LANDSLIDE SUSCEPTIBILITY ANALYSIS USING MACHINE LEARNING ALGORITHMS
    Sharma, Ankur
    Sandhu, Har Amrit Singh
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 3038 - 3041
  • [7] A new GIS-based multivariate statistical analysis for landslide susceptibility zoning
    Bovolenta, R.
    Federici, B.
    Marzocchi, R.
    Berardi, R.
    LANDSLIDES AND ENGINEERED SLOPES: EXPERIENCE, THEORY AND PRACTICE, VOLS 1-3, 2016, : 511 - 516
  • [8] Comparison of GIS-based methodologies for the landslide susceptibility assessment
    Magliulo, Paolo
    Di Lisio, Antonio
    Russo, Filippo
    GEOINFORMATICA, 2009, 13 (03) : 253 - 265
  • [9] Comparison of GIS-based methodologies for the landslide susceptibility assessment
    Paolo Magliulo
    Antonio Di Lisio
    Filippo Russo
    GeoInformatica, 2009, 13 : 253 - 265
  • [10] GIS-Based Spatial Analysis and Modeling for Landslide Hazard Assessment:A Case Study in Upper Minjiang River Basin
    FENG Wenlan 1
    2. Graduate University of Chinese Academy of Sciences
    3. Department of Envioronmental Engineering
    WuhanUniversityJournalofNaturalSciences, 2006, (04) : 847 - 852