NDLI: Identification of landslide area using remote sensing data and quantitative assessment of landslide hazard

Content Provider	IEEE Xplore Digital Library
Author	Kwang-Hoon Chi No-Wook Park Kiwon Lee
Copyright Year	2002
Description	Author affiliation: Nat. Geoscience Inf. Center, Korea Inst. of Geoscience & Miner. Resources (KIGAM), Daejon, South Korea (Kwang-Hoon Chi; No-Wook Park)
Abstract	This paper discusses the application of remote sensing techniques and GIS-based prediction modeling for landslide hazard mapping. First, we aim at identifying the past landslide locations by comparing various remote sensing data (KOMPSAT EOC, IRS, SPOT). Using the detected landslides locations and spatial database, probabilistic prediction model based on likelihood ratio function is constructed to generate a prediction map for landslide hazard mapping. After generating the prediction results, to provide the measures of significance of prediction results, a validation of the prediction results is carried out. Through the validation procedure, the prediction results can provide meaningful interpretation with respect to the future landslides. A case study from Jangheung area in Korea is carried out to illustrate above schemes.
Sponsorship	IEEE IEEE Geosci. & Remote Sensing Soc. Canadian Remote Sensing Soc. Univ. Waterloo Natural Resources Canada (NRCan) Canadian Space Agency (CSA) Environ. Canada NASA Nat. Oceanic & Atmos. Adm. (NOAA) Office of Naval Res.(ONR) Nat. Space Dev. Agency of Japan (NASDA) Nat. Polar-orbiting Environ. Satellite Syst. (NPOESS)
Starting Page	2856
Ending Page	2858
File Size	344890
Page Count	3
File Format	PDF
ISBN	078037536X
DOI	10.1109/IGARSS.2002.1026801
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Terrain factors Remote sensing Hazards Predictive models Remote monitoring Soil Data mining Spatial databases Geoscience and remote sensing Satellites
Content Type	Text
Resource Type	Article

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

Landslide risk assessment with high spatial resolution remote sensing satellite data

Terrain Mapping And Land Hazard Estimation In Outer Himalayan Terrain

Application of change detection techniques for monitoring man-induced landslide causal factors

Landslide hazard zonation mapping using remote sensing and geographic information system techniques-a case study of Pithoragarh area, U.P

Landslide susceptibility analysis using weight of evidence

Landslide hazard assessment in the Three Gorges area of the Yangtze River using ASTER imagery

Comprehensive Remote Sensing Technology for Monitoring Landslide Hazards and Disaster Chain in the Xishan Mining Area of Beijing

Extraction of landslide areas using satellite remote sensing and GIS technology

Application of high-resolution satellite images to detailed landslide hazard assessment

Identification of landslide area using remote sensing data and quantitative assessment of landslide hazard

Similar Documents

Landslide risk assessment with high spatial resolution remote sensing satellite data

Terrain Mapping And Land Hazard Estimation In Outer Himalayan Terrain

Application of change detection techniques for monitoring man-induced landslide causal factors

Landslide hazard zonation mapping using remote sensing and geographic information system techniques-a case study of Pithoragarh area, U.P

Landslide susceptibility analysis using weight of evidence

Landslide hazard assessment in the Three Gorges area of the Yangtze River using ASTER imagery

Comprehensive Remote Sensing Technology for Monitoring Landslide Hazards and Disaster Chain in the Xishan Mining Area of Beijing

Extraction of landslide areas using satellite remote sensing and GIS technology

Application of high-resolution satellite images to detailed landslide hazard assessment

Identification of landslide area using remote sensing data and quantitative assessment of landslide hazard