A landslide inventory system as a base for automated process and risk analyses-Reference-Cited by-同舟云学术

A landslide inventory system as a base for automated process and risk analyses

Published:2017-07-11 Issue:4 Volume:10 Page:507-515
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Kreuzer Thomas M.^ORCID,Wilde Martina,Terhorst Birgit,Damm Bodo

Funder

Deutsche Forschungsgemeinschaft

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

http://link.springer.com/article/10.1007/s12145-017-0307-5/fulltext.html

Reference34 articles.

1. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary review and new perspectives. Bull Eng Geol Environ 58(1):21–44

2. Aye ZC, Jaboyedoff M, Derron MH, van Westen CJ, Hussin HY, Ciurean RL, Frigerio S, Pasuto A (2016) An interactive web-GIS tool for risk analysis: a case study in the Fella River basin, Italy. Nat Hazards Earth Syst Sci 16:85–101

3. Bechtold WA, Patterson PL (2005) The enhanced forest inventory and analysis program - national sampling design and estimation procedures. Gen. Tech. Rep. SRS-80, U.S. Department of Agriculture, Forest Service, Southern Research Station, Asheville NC

4. Bonham-Carter GF, Agterberg FP, Wright DF (1989) Weights of evidence modelling: a new approach to mapping mineral potential. Stat Appl Earth Sci 89(9):171–183

5. Chung C-JF, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30:451–472

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comparative Assessment of Landslide Prediction Capability of Machine Learning Methods using Frequency Ratio (FR), Shannon Entropy (SE), and Analytical Hierarchy (AHP) Techniques: A Case Study of Uttarakhand, India;2024-06-27

2. Project ‘‘Mass Movements in Germany’’ and its implications for nationwide landslide susceptibility assessment;Bulletin of Engineering Geology and the Environment;2024-05-03

3. Landslide Susceptibility Mapping Through Hyperparameter Optimized Bagging and Boosting Ensembles: Case Study of NH-10, West Bengal, India;Advances in Geographic Information Science;2024

4. Performance Assessment of Multivariate Statistical and Bagging Ensembles in Landslide Susceptibility Mapping: Case Study of National Highway-10;2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT);2023-03-17

5. A Comparative Analysis of Certainty Factor-Based Machine Learning Methods for Collapse and Landslide Susceptibility Mapping in Wenchuan County, China;Remote Sensing;2022-07-06