Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island
A method for semiautomated landslide detection and mapping, with the ability to separate source and run-out areas, is presented in this paper. It combines object-based image analysis and a support vector machine classifier and is tested using a GeoEye-1 multispectral image, sensed 3 days after a maj...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-04-01
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| Series: | Natural Hazards and Earth System Sciences |
| Online Access: | http://www.nat-hazards-earth-syst-sci.net/16/1035/2016/nhess-16-1035-2016.pdf |
| _version_ | 1818254479356592128 |
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| author | S. Heleno M. Matias P. Pina A. J. Sousa |
| author_facet | S. Heleno M. Matias P. Pina A. J. Sousa |
| author_sort | S. Heleno |
| collection | DOAJ |
| description | A method for semiautomated landslide detection and mapping, with the ability
to separate source and run-out areas, is presented in this paper. It combines
object-based image analysis and a support vector machine classifier and is
tested using a GeoEye-1 multispectral image, sensed 3 days after a major
damaging landslide event that occurred on Madeira Island (20 February 2010),
and a pre-event lidar digital terrain model. The testing is developed in
a 15 km<sup>2</sup> wide study area, where 95 % of the number of landslides
scars are detected by this supervised approach. The classifier presents a good
performance in the delineation of the overall landslide area, with commission
errors below 26 % and omission errors below 24 %. In addition, fair
results are achieved in the separation of the source from the run-out
landslide areas, although in less illuminated slopes this discrimination is
less effective than in sunnier, east-facing slopes. |
| first_indexed | 2024-12-12T16:56:37Z |
| format | Article |
| id | doaj.art-b92dd1244cbf4c2d8ae86962fdfaea80 |
| institution | Directory Open Access Journal |
| issn | 1561-8633 1684-9981 |
| language | English |
| last_indexed | 2024-12-12T16:56:37Z |
| publishDate | 2016-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Natural Hazards and Earth System Sciences |
| spelling | doaj.art-b92dd1244cbf4c2d8ae86962fdfaea802022-12-22T00:18:13ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812016-04-011641035104810.5194/nhess-16-1035-2016Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira IslandS. Heleno0M. Matias1P. Pina2A. J. Sousa3CERENA, Instituto Superior Técnico, University of Lisbon, Lisbon, PortugalCERENA, Instituto Superior Técnico, University of Lisbon, Lisbon, PortugalCERENA, Instituto Superior Técnico, University of Lisbon, Lisbon, PortugalCERENA, Instituto Superior Técnico, University of Lisbon, Lisbon, PortugalA method for semiautomated landslide detection and mapping, with the ability to separate source and run-out areas, is presented in this paper. It combines object-based image analysis and a support vector machine classifier and is tested using a GeoEye-1 multispectral image, sensed 3 days after a major damaging landslide event that occurred on Madeira Island (20 February 2010), and a pre-event lidar digital terrain model. The testing is developed in a 15 km<sup>2</sup> wide study area, where 95 % of the number of landslides scars are detected by this supervised approach. The classifier presents a good performance in the delineation of the overall landslide area, with commission errors below 26 % and omission errors below 24 %. In addition, fair results are achieved in the separation of the source from the run-out landslide areas, although in less illuminated slopes this discrimination is less effective than in sunnier, east-facing slopes.http://www.nat-hazards-earth-syst-sci.net/16/1035/2016/nhess-16-1035-2016.pdf |
| spellingShingle | S. Heleno M. Matias P. Pina A. J. Sousa Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island Natural Hazards and Earth System Sciences |
| title | Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island |
| title_full | Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island |
| title_fullStr | Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island |
| title_full_unstemmed | Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island |
| title_short | Semiautomated object-based classification of rain-induced landslides with VHR multispectral images on Madeira Island |
| title_sort | semiautomated object based classification of rain induced landslides with vhr multispectral images on madeira island |
| url | http://www.nat-hazards-earth-syst-sci.net/16/1035/2016/nhess-16-1035-2016.pdf |
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