Predicting shallow landslide size and location across a natural landscape: Application of a spectral clustering search algorithm-Reference-Cited by-同舟云学术

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Predicting shallow landslide size and location across a natural landscape: Application of a spectral clustering search algorithm

Published:2015-12 Issue:12 Volume:120 Page:2552-2585
ISSN:2169-9003
Container-title:Journal of Geophysical Research: Earth Surface
language:en
Short-container-title:J. Geophys. Res. Earth Surf.

Author:

Bellugi Dino¹,Milledge David G.²,Dietrich William E.³,Perron J. Taylor¹,McKean Jim⁴

Affiliation:

1. Department of Earth, Atmospheric, and Planetary Sciences; Massachusetts Institute of Technology; Cambridge Massachusetts USA

2. Department of Geography; Durham University; Durham UK

3. Department of Earth and Planetary Science; University of California; Berkeley California USA

4. U.S. Forest Service, Rocky Mountain Research Station; U.S. Department of Agriculture; Boise Idaho USA

Funder

United States Forest Service

NSF

National Aeronautics and Space Administration

NERC

Publisher

American Geophysical Union (AGU)

Subject

Earth-Surface Processes,Geophysics

Reference117 articles.

1. An advanced process-based distributed model for the investigation of rainfall-induced landslides: The effect of process representation and boundary conditions;Anagnostopoulos;Water Resour. Res.,2015

2. Estimating the timing and location of shallow rainfall-induced landslides using a model for transient, unsaturated infiltration;Baum;J. Geophys. Res.,2010

3. Validation and evaluation of predictive models in hazard assessment and risk management;Beguería;Nat. Hazards,2006

4. Bellugi , D. 2012 What controls shallow landslide size across landscapes?

5. A spectral clustering search algorithm for predicting shallow landslide size and location;Bellugi;J. Geophys. Res. Earth Surf.,2015

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