Modeling Surface Roughness as an Indicator of Age and Landslide Susceptibility, and the Spatial Inventory of Prehistoric Landslides: Green River Valley, Washington

doi 10.15760/etd.7051
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Portland State University Library

Related search

Landslide Inventory Map of the Upper Sinni River Valley, Southern Italy

Journal of Maps
PlanningEarthPlanetary SciencesDevelopmentGeography
2014English

Dental Reduction and Diet in the Prehistoric Ohio River Valley

Dental Anthropology Journal
2018English

Influences of the Shadow Inventory on a Landslide Susceptibility Model

ISPRS International Journal of Geo-Information
DevelopmentPlanetary SciencesComputers in Earth SciencesPlanningEarthGeography
2018English

Holocene History of Deep-Seated Landsliding in the North Fork Stillaguamish River Valley From Surface Roughness Analysis, Radiocarbon Dating, and Numerical Landscape Evolution Modeling

Journal of Geophysical Research: Earth Surface
2017English

Application of Spatial Information Technology to Landslides Landslide Vulnerability Mapping Using GIS and Spatial Statistical Analysis

Journal of the Japan Landslide Society
2005English

Application of Spatial Information Technology to Landslides Comparative Study on Landslide Susceptibility Mapping Between Artificial Neural Network and Maximum Likelihood Method

Journal of the Japan Landslide Society
2005English

Landslide Inventory and Susceptibility Assessment for the Ntchenachena Area, Northern Malawi (East Africa)

2012English

Journal Landslides, the International Consortium on Landslides, and the Kyoto Landslide Commitment 2020

Landslides
Geotechnical EngineeringEngineering Geology
2019English

Combined Landslide Inventory and Susceptibility Assessment Based on Different Mapping Units: An Example From the Flemish Ardennes, Belgium

Natural Hazards and Earth System Sciences
EarthPlanetary Sciences
2009English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy