NDLI: Topography-driven satellite imagery analysis for landslide mapping

Content Provider	Taylor & Francis Online
Author	Fiorucci, F. Cardinali, M. Mondini, A. C. Marchesini, I. Alvioli, M.
Abstract	We describe a semi-automatic procedure for the classification of satellite imagery into landslide or no landslide categories, aimed at preparing event landslide inventory maps. The two-steps procedure requires knowledge of the occurrence of a landslide event, availability of a pre- and post- event pseudo-stereo pair and a digital elevation model. The first step consists in the evaluation of a discriminant function, applied to a combination of well-known change detection indices tuned on landslide spectral response. The second step is devoted to discriminant function classification, aimed at distinguishing the only landslide class, through an improvement of the usual ‘thresholding’ method. We devised a multi-threshold classification, in which thresholding is applied separately in small subsets of the scene. We show that using slope units as topographic-aware subsets produces best classification performance when compared to the ground truth of a landslide inventory prepared by visual interpretation. The method proved to be superior to the use of a single threshold and to any multi-threshold procedure based on topography-blind subdivisions of the scene, especially in the validation stage. We argue that the improved classification performance and limited training requirements represent a step forward towards an automatic, real-time landslide mapping from satellite imagery.
Starting Page	544
Ending Page	567
Page Count	24
File Format	PDF HTM / HTML
ISSN	19475705 19475713
DOI	10.1080/19475705.2018.1458050
Journal	Geomatics, Natural Hazards and Risk
Volume Number	9
Issue Number	1
Language	English
Publisher	Taylor & Francis
Publisher Date	2018-04-13
Access Restriction	Open
Subject Keyword	Landslides Landslide event Landslide mapping Satellite imagery Discriminant function Slope units
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Environmental Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic landslide mapping from satellite imagery with a topography-driven thresholding algorithm

A new approach of combining aerial photography with satellite imagery for landslide detection

Controlling parameter analyses and hazard mapping for earthquake-triggered landslides: an example from a square region in Beichuan County, Sichuan Province, China

Rainfall thresholds for landslide early warning system in Nakhon Si Thammarat

Loess Landslide Inventory Map Based on GF-1 Satellite Imagery

Mapping of post-event earthquake induced landslides in Sg. Mesilou using LiDAR

Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping

Improving landslide hazard and risk mapping in Guatemala using terrain aspect

Parallel numerical analysis of the failure characteristics of earthquake-induced landslides

Topography-driven satellite imagery analysis for landslide mapping

Similar Documents

Automatic landslide mapping from satellite imagery with a topography-driven thresholding algorithm

A new approach of combining aerial photography with satellite imagery for landslide detection

Controlling parameter analyses and hazard mapping for earthquake-triggered landslides: an example from a square region in Beichuan County, Sichuan Province, China

Rainfall thresholds for landslide early warning system in Nakhon Si Thammarat

Loess Landslide Inventory Map Based on GF-1 Satellite Imagery

Mapping of post-event earthquake induced landslides in Sg. Mesilou using LiDAR

Comparison and validation of per-pixel and object-based approaches for landslide susceptibility mapping

Improving landslide hazard and risk mapping in Guatemala using terrain aspect

Parallel numerical analysis of the failure characteristics of earthquake-induced landslides

Topography-driven satellite imagery analysis for landslide mapping