Articles | Volume 17, issue 4
https://doi.org/10.5194/nhess-17-549-2017
https://doi.org/10.5194/nhess-17-549-2017
Research article
 | 
13 Apr 2017
Research article |  | 13 Apr 2017

An offline–online Web-GIS Android application for fast data acquisition of landslide hazard and risk

Roya Olyazadeh, Karen Sudmeier-Rieux, Michel Jaboyedoff, Marc-Henri Derron, and Sanjaya Devkota

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (18 Jan 2017) by Paolo Tarolli
AR by Roya Olyazadeh on behalf of the Authors (03 Feb 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 Feb 2017) by Paolo Tarolli
RR by Anonymous Referee #1 (20 Feb 2017)
RR by Anonymous Referee #2 (01 Mar 2017)
ED: Publish subject to minor revisions (further review by Editor) (06 Mar 2017) by Paolo Tarolli
AR by Roya Olyazadeh on behalf of the Authors (14 Mar 2017)  Author's response    Manuscript
ED: Publish as is (21 Mar 2017) by Paolo Tarolli
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Short summary
This work shows the progress and testing of an online–offline web-GIS application based on open-source technologies for landslide hazard and risk. It has satellite images as a base map in the offline mode and data collection in a centralized online database. The advantage of a mobile app coupled with satellite images over mapping in the office is improved identification of landslide type. This study was used for landslides in Nepal, but it can also be useful for other hazards like floods.
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