Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1881-2019
https://doi.org/10.5194/nhess-19-1881-2019
Research article
 | 
28 Aug 2019
Research article |  | 28 Aug 2019

Efficacy of using radar-derived factors in landslide susceptibility analysis: case study of Koslanda, Sri Lanka

Ahangama Kankanamge Rasika Nishamanie Ranasinghe, Ranmalee Bandara, Udeni Gnanapriya Anuruddha Puswewala, and Thilantha Lakmal Dammalage

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (14 May 2019) by Filippo Catani
AR by Anna Mirena Feist-Polner on behalf of the Authors (21 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Jun 2019) by Filippo Catani
RR by Anonymous Referee #2 (02 Jul 2019)
RR by Anonymous Referee #3 (07 Jul 2019)
ED: Publish subject to minor revisions (review by editor) (09 Jul 2019) by Filippo Catani
AR by Svenja Lange on behalf of the Authors (12 Jul 2019)  Author's response    Manuscript
ED: Publish as is (12 Jul 2019) by Filippo Catani
Download
Short summary
Koslanda in Sri Lanka is on people's minds due to frequently occurring landslides as the area is made vulnerable by both climatic and geomorphological settings. Integration of radar and optical remote sensing can be used to quite satisfactorily predict landslides with complementary information at a smaller scale. Inclusion of radar-derived factors in landslide susceptibility analysis of a bivariate and multivariate nature improves the prediction of high- and very-low-susceptibility areas.
Altmetrics
Final-revised paper
Preprint