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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 7, ISSUE 3, MARCH 2020

A Review on Landslide Detection Methods

Sreeja P M, Kala L

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Abstract: Landslides are becoming most frequent and severe natural disasters in world wide. Landslide causes a huge damage for both human life and economy. There are various qualitative methods for detection of landslides. The goal of this paper is to discuss the various method involving neural network, segmentation and wireless sensor approach that have been proposed.

Keywords: Pixel-based analysis, Object Based Image Analysis (OBIA), Wireless sensor, Deep learning

How to Cite:

[1] Sreeja P M, Kala L, “A Review on Landslide Detection Methods,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2020.7315

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.