Delivering GIS training using geospatial web service - A case study of landslide risk mapping in Hong Kong

J. Huang; L. You; Qiming ZHOU; H. Wu

doi:10.5194/isprsarchives-XL-6-W1-15-2015

Delivering GIS training using geospatial web service - A case study of landslide risk mapping in Hong Kong

J. Huang
, L. You^*
, Qiming ZHOU
, H. Wu

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.

Original language	English
Pages (from-to)	15-16
Number of pages	2
Journal	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume	40
Issue number	6W1
DOIs	https://doi.org/10.5194/isprsarchives-XL-6-W1-15-2015
Publication status	Published - 27 May 2015
Event	ISPRS Workshop of Commission VI 1-3 on Advances in Web-Based Education Services - Berlin, Germany Duration: 18 Jun 2015 → 19 Jun 2015

User-Defined Keywords

Geospatial web service
Landslide

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10.5194/isprsarchives-XL-6-W1-15-2015

Cite this

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title = "Delivering GIS training using geospatial web service - A case study of landslide risk mapping in Hong Kong",

abstract = "This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.",

keywords = "Geospatial web service, Landslide",

author = "J. Huang and L. You and Qiming ZHOU and H. Wu",

note = "The research was supported by the Natural Science Foundation of China (NSFC) General Research Grant (41471340), Research Grants Council (RGC) of Hong Kong General Research Fund (GRF) (Project No. 203913) and Hong Kong Baptist University Faculty Research Grant (FRG1/12-13/070).; ISPRS Workshop of Commission VI 1-3 on Advances in Web-Based Education Services ; Conference date: 18-06-2015 Through 19-06-2015",

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month = may,

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doi = "10.5194/isprsarchives-XL-6-W1-15-2015",

language = "English",

volume = "40",

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journal = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives",

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number = "6W1",

}

Delivering GIS training using geospatial web service - A case study of landslide risk mapping in Hong Kong. / Huang, J.; You, L.; ZHOU, Qiming et al.
In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 40, No. 6W1, 27.05.2015, p. 15-16.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Delivering GIS training using geospatial web service - A case study of landslide risk mapping in Hong Kong

AU - Huang, J.

AU - You, L.

AU - ZHOU, Qiming

AU - Wu, H.

N1 - The research was supported by the Natural Science Foundation of China (NSFC) General Research Grant (41471340), Research Grants Council (RGC) of Hong Kong General Research Fund (GRF) (Project No. 203913) and Hong Kong Baptist University Faculty Research Grant (FRG1/12-13/070).

PY - 2015/5/27

Y1 - 2015/5/27

N2 - This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.

AB - This paper sketches a prototype of web-based landslide prediction service for delivering web-based training. The results show that the proposed landslide GWSC model can effectively compute the landslide risk level in different location, and consequently allow for early-warning, which starts with the sensor in the field and ending with user-opitmized warning messages and action advice.

KW - Geospatial web service

KW - Landslide

UR - https://www.scopus.com/pages/publications/84937676627

U2 - 10.5194/isprsarchives-XL-6-W1-15-2015

DO - 10.5194/isprsarchives-XL-6-W1-15-2015

M3 - Conference article

AN - SCOPUS:84937676627

SN - 1682-1750

VL - 40

SP - 15

EP - 16

JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

IS - 6W1

T2 - ISPRS Workshop of Commission VI 1-3 on Advances in Web-Based Education Services

Y2 - 18 June 2015 through 19 June 2015

ER -

Delivering GIS training using geospatial web service - A case study of landslide risk mapping in Hong Kong

Abstract

User-Defined Keywords

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