Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island

Heleno, Sandra; Matias, Magda; Pina, Pedro; Sousa, António Jorge

doi:https://doi.org/10.5194/nhess-16-1035-2016

Articles | Volume 16, issue 4

https://doi.org/10.5194/nhess-16-1035-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-16-1035-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 4

Research article

|

26 Apr 2016

Research article |

| 26 Apr 2016

Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island

Sandra Heleno, Magda Matias, Pedro Pina, and António Jorge Sousa

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Final revised paper (published on 26 Apr 2016)
Preprint (discussion started on 23 Sep 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C1926: 'Comments to the manuscript', Anonymous Referee #1, 07 Oct 2015
- AC C2624: 'Response to reviewer 1', S. Heleno, 14 Dec 2015
RC C2158: 'Comments to manuscript “Automated object-based classification of rain-induced landslides with VHR multispectral images in Madeira Island”', Anonymous Referee #2, 30 Oct 2015
- AC C2630: 'Response to reviewer 2', S. Heleno, 14 Dec 2015

Short summary

A method for semi-automatic landslide detection and mapping is presented and tested using a very high-resolution satellite image, sensed 3 days after a major damaging landslide event that occurred in Madeira Island (20 February 2010). The testing is developed in a 15 km² wide area, where 95 % of the number of landslides scars is detected by this approach.