Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-405-2018
https://doi.org/10.5194/nhess-18-405-2018
Research article
 | 
30 Jan 2018
Research article |  | 30 Jan 2018

Criteria for the optimal selection of remote sensing optical images to map event landslides

Federica Fiorucci, Daniele Giordan, Michele Santangelo, Furio Dutto, Mauro Rossi, and Fausto Guzzetti

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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) (17 Jul 2017) by Paolo Tarolli
AR by Federica Fiorucci on behalf of the Authors (25 Jul 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (27 Jul 2017) by Paolo Tarolli
RR by Anonymous Referee #1 (31 Jul 2017)
RR by Anonymous Referee #3 (21 Nov 2017)
ED: Publish subject to minor revisions (review by editor) (21 Nov 2017) by Paolo Tarolli
AR by Federica Fiorucci on behalf of the Authors (01 Dec 2017)  Author's response   Manuscript 
ED: Publish as is (13 Dec 2017) by Paolo Tarolli
AR by Federica Fiorucci on behalf of the Authors (19 Dec 2017)
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Short summary
This paper describes the criteria for the optimal selection of remote sensing images to map event landslides, discussing the ability of monoscopic and stereoscopic VHR satellite images and ultra-high-resolution UAV images to resolve the landslide photographical and morphological signatures. The findings can be useful to decide on the optimal imagery and technique to be used when planning the production of a landslide inventory map.
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