Automated landslide detection using deep learning approach a case study of Kodagu, Western Ghats

S.R. Meena

doi:10.5281/zenodo.3835767

Automated landslide detection using deep learning approach a case study of Kodagu, Western Ghats

S.R. Meena^*

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

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Abstract

The detected landslide polygon information can be used for disaster planning, mitigation measures for the aected areas. They will gain knowledge about landslides information in the aected areas, and about the methodology.

Original language	English
Pages	1-2
Number of pages	2
DOIs	https://doi.org/10.5281/zenodo.3835767
Publication status	Published - 20 May 2020
Externally published	Yes
Event	5th AGILE PhD School 2019 - Tartu, Tartu, Estonia Duration: 25 Nov 2019 → 28 Nov 2019 https://agilephdschool2019.github.io/

Conference

Conference	5th AGILE PhD School 2019
Country/Territory	Estonia
City	Tartu
Period	25/11/19 → 28/11/19
Internet address	https://agilephdschool2019.github.io/

Keywords

ITC-CV

Access to Document

10.5281/zenodo.3835767Licence: CC BY

ArticleFinal published version, 237 KBLicence: CC BY

Cite this

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title = "Automated landslide detection using deep learning approach a case study of Kodagu, Western Ghats",

abstract = "The detected landslide polygon information can be used for disaster planning, mitigation measures for the aected areas. They will gain knowledge about landslides information in the aected areas, and about the methodology.",

keywords = "ITC-CV",

author = "S.R. Meena",

year = "2020",

month = may,

day = "20",

doi = "10.5281/zenodo.3835767",

language = "English",

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N2 - The detected landslide polygon information can be used for disaster planning, mitigation measures for the aected areas. They will gain knowledge about landslides information in the aected areas, and about the methodology.

AB - The detected landslide polygon information can be used for disaster planning, mitigation measures for the aected areas. They will gain knowledge about landslides information in the aected areas, and about the methodology.

KW - ITC-CV

U2 - 10.5281/zenodo.3835767

DO - 10.5281/zenodo.3835767

M3 - Paper

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T2 - 5th AGILE PhD School 2019

Y2 - 25 November 2019 through 28 November 2019

ER -

Automated landslide detection using deep learning approach a case study of Kodagu, Western Ghats

Abstract

Conference

Keywords

Access to Document

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Cite this