Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model-Reference-Cited by-同舟云学术

Landslide susceptibility mapping using statistical bivariate models and their hybrid with normalized spatial-correlated scale index and weighted calibrated landslide potential model

Published:2021-04 Issue:8 Volume:80 Page:
ISSN:1866-6280
Container-title:Environmental Earth Sciences
language:en
Short-container-title:Environ Earth Sci

Author:

Chen Zhuo,Song Danqing,Juliev Mukhiddin,Pourghasemi Hamid Reza

Funder

Shuimu Tsinghua Scholar Program

China Postdoctoral Science Foundation

Excellent Sino-foreign Youth Exchange Program of China Association for Science and Technology in 2020

National Postdoctoral Program for Innovative Talent of China

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

https://link.springer.com/content/pdf/10.1007/s12665-021-09603-9.pdf

Reference103 articles.

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2. Abedini M, Tulabi S (2018) Assessing LNRF, FR, and AHP models in landslide susceptibility mapping index: a comparative study of Nojian watershed in Lorestan province. Iran Environ Earth Sci 77:405

3. Aditian A, Kubota T, Shinohara Y (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology 318:101–111

4. Agterberg FP (2013) Fractals and spatial statistics of point patterns. J Earth Sci 24:1–11

5. Akgun A, Dag S, Bulut F (2008) Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models. Environ Geol 54:1127–1143

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