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Correction published on 16 December 2014, see Remote Sens. 2014, 6(12), 12666.

Open AccessReview
Remote Sens. 2014, 6(10), 9600-9652; doi:10.3390/rs6109600

Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives

1
College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
2
Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, 20133, Italy
*
Author to whom correspondence should be addressed.
Received: 30 May 2014 / Revised: 24 September 2014 / Accepted: 25 September 2014 / Published: 13 October 2014
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Abstract

Landslides represent major natural hazards, which cause every year significant loss of lives and damages to buildings, properties and lifelines. In the last decades, a significant increase in landslide frequency took place, in concomitance to climate change and the expansion of urbanized areas. Remote sensing techniques represent a powerful tool for landslide investigation: applications are traditionally divided into three main classes, although this subdivision has some limitations and borders are sometimes fuzzy. The first class comprehends techniques for landslide recognition, i.e., the mapping of past or active slope failures. The second regards landslide monitoring, which entails both ground deformation measurement and the analysis of any other changes along time (e.g., land use, vegetation cover). The third class groups methods for landslide hazard analysis and forecasting. The aim of this paper is to give an overview on the applications of remote-sensing techniques for the three categories of landslide investigations, focusing on the achievements of the last decade, being that previous studies have already been exhaustively reviewed in the existing literature. At the end of the paper, a new classification of remote-sensing techniques that may be pertinently adopted for investigating specific typologies of soil and rock slope failures is proposed. View Full-Text
Keywords: engineering geology; remote sensing; landslide mapping; monitoring; susceptibility analysis; hazard zonation; spatial analysis engineering geology; remote sensing; landslide mapping; monitoring; susceptibility analysis; hazard zonation; spatial analysis
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Scaioni, M.; Longoni, L.; Melillo, V.; Papini, M. Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives. Remote Sens. 2014, 6, 9600-9652.

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