Landslide susceptibility zonation at lantau Island, Hong Kong: An initiative of cloud-enabled early-warning system

Junyi Huang; Qiming Zhou; Daqi Yu

Landslide susceptibility zonation at lantau Island, Hong Kong: An initiative of cloud-enabled early-warning system

Junyi Huang^*, Qiming Zhou, Daqi Yu

^*Corresponding author for this work

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

Landslides are one of the most destructive phenomena of nature that cause damage to both property and life every year. As a mountainous metropolitan with plentiful rainfall, landslide early-warning system in Hong Kong is necessary for mitigating the loss and planning of future development. This paper reports our early attempts of establishing a cloud-enabled landslide early warning system. We analyze a series of factors contributing to landslide by frequency ratio method, and provide a map of susceptibility zonation. This study provides a preliminary evaluation of the landslide triggering factors for next step cloud-enabled model construction.

Original language	English
Title of host publication	34th Asian Conference on Remote Sensing 2013, ACRS 2013
Publisher	Asian Association on Remote Sensing
Pages	3505-3512
Number of pages	8
ISBN (Print)	9781629939100
Publication status	Published - Oct 2013
Event	34th Asian Conference on Remote Sensing 2013, ACRS 2013 - Bali, Indonesia Duration: 20 Oct 2013 → 24 Oct 2013

Publication series

Name	34th Asian Conference on Remote Sensing 2013, ACRS 2013
Volume	4

Conference

Conference	34th Asian Conference on Remote Sensing 2013, ACRS 2013
Country/Territory	Indonesia
City	Bali
Period	20/10/13 → 24/10/13

Scopus Subject Areas

Computer Networks and Communications

User-Defined Keywords

Cloudcomputation
Frequency ratio analysis
Gis
Landslide hazard
Remote sensing geospatial

Cite this

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title = "Landslide susceptibility zonation at lantau Island, Hong Kong: An initiative of cloud-enabled early-warning system",

abstract = "Landslides are one of the most destructive phenomena of nature that cause damage to both property and life every year. As a mountainous metropolitan with plentiful rainfall, landslide early-warning system in Hong Kong is necessary for mitigating the loss and planning of future development. This paper reports our early attempts of establishing a cloud-enabled landslide early warning system. We analyze a series of factors contributing to landslide by frequency ratio method, and provide a map of susceptibility zonation. This study provides a preliminary evaluation of the landslide triggering factors for next step cloud-enabled model construction.",

keywords = "Cloudcomputation, Frequency ratio analysis, Gis, Landslide hazard, Remote sensing geospatial",

author = "Junyi Huang and Qiming Zhou and Daqi Yu",

year = "2013",

month = oct,

language = "English",

isbn = "9781629939100",

series = "34th Asian Conference on Remote Sensing 2013, ACRS 2013",

publisher = "Asian Association on Remote Sensing",

pages = "3505--3512",

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Huang, J, Zhou, Q & Yu, D 2013, Landslide susceptibility zonation at lantau Island, Hong Kong: An initiative of cloud-enabled early-warning system. in 34th Asian Conference on Remote Sensing 2013, ACRS 2013. 34th Asian Conference on Remote Sensing 2013, ACRS 2013, vol. 4, Asian Association on Remote Sensing, pp. 3505-3512, 34th Asian Conference on Remote Sensing 2013, ACRS 2013, Bali, Indonesia, 20/10/13.

Landslide susceptibility zonation at lantau Island, Hong Kong: An initiative of cloud-enabled early-warning system. / Huang, Junyi; Zhou, Qiming; Yu, Daqi.
34th Asian Conference on Remote Sensing 2013, ACRS 2013. Asian Association on Remote Sensing, 2013. p. 3505-3512 (34th Asian Conference on Remote Sensing 2013, ACRS 2013; Vol. 4).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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PY - 2013/10

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N2 - Landslides are one of the most destructive phenomena of nature that cause damage to both property and life every year. As a mountainous metropolitan with plentiful rainfall, landslide early-warning system in Hong Kong is necessary for mitigating the loss and planning of future development. This paper reports our early attempts of establishing a cloud-enabled landslide early warning system. We analyze a series of factors contributing to landslide by frequency ratio method, and provide a map of susceptibility zonation. This study provides a preliminary evaluation of the landslide triggering factors for next step cloud-enabled model construction.

AB - Landslides are one of the most destructive phenomena of nature that cause damage to both property and life every year. As a mountainous metropolitan with plentiful rainfall, landslide early-warning system in Hong Kong is necessary for mitigating the loss and planning of future development. This paper reports our early attempts of establishing a cloud-enabled landslide early warning system. We analyze a series of factors contributing to landslide by frequency ratio method, and provide a map of susceptibility zonation. This study provides a preliminary evaluation of the landslide triggering factors for next step cloud-enabled model construction.

KW - Cloudcomputation

KW - Frequency ratio analysis

KW - Gis

KW - Landslide hazard

KW - Remote sensing geospatial

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SN - 9781629939100

T3 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013

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BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013

PB - Asian Association on Remote Sensing

Y2 - 20 October 2013 through 24 October 2013

ER -

Landslide susceptibility zonation at lantau Island, Hong Kong: An initiative of cloud-enabled early-warning system

Abstract

Publication series

Conference

Scopus Subject Areas

User-Defined Keywords

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Cite this