Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR
The aim of this work is to define a methodology for terraced areas survey and rapid mapping in a complex environment, like Ligurian (Northwestern Italy) one, where a remarkable percentage of its surface is estimated as terraced and where the canopy coverage makes their recognition very hard. Methodo...
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Online Access: | http://dx.doi.org/10.1080/19475705.2018.1478893 |
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doaj-7eaa4e571ef94eebbb3dfd9683defae02020-11-25T01:36:32ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132018-01-019197098510.1080/19475705.2018.14788931478893Rapid mapping application of vegetated terraces based on high resolution airborne LiDARDanilo Godone0Daniele Giordan1Marco Baldo2CNR-IRPI, Geohazard Monitoring GroupCNR-IRPI, Geohazard Monitoring GroupCNR-IRPI, Geohazard Monitoring GroupThe aim of this work is to define a methodology for terraced areas survey and rapid mapping in a complex environment, like Ligurian (Northwestern Italy) one, where a remarkable percentage of its surface is estimated as terraced and where the canopy coverage makes their recognition very hard. Methodology steps are the definition of LiDAR survey parameters, morphometric filtering and GIS processing for final mapping. Each phase is oriented to provide a reliable terrace mapping, also practicable in canopy-covered areas due to a particular attention to land cover influence. The work considers a case study (Rupinaro basin) close to Cinque Terre, with a mixed land cover (terraces, forest and urbanized areas). The methodology provided encouraging results detecting 448 ha of terraces, 95% of them located under canopy cover. This finding pointed out that terraces mapping cannot rely only on photo-interpretation, as canopies will hamper their detection. Mapping of these areas, frequently characterized by abandonment, is crucial while identifying potential trigger factors for slope instabilities. This case study highlighted the importance of a carefully planned production chain, that should start from LiDAR survey parameter choice, providing the best input for analysis algorithm and providing the correct identification of terraces.http://dx.doi.org/10.1080/19475705.2018.1478893Anthropic landscapehigh resolution Digital Terrain Modelland abandonmentmorphometric filteringrapid mapping |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Danilo Godone Daniele Giordan Marco Baldo |
spellingShingle |
Danilo Godone Daniele Giordan Marco Baldo Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR Geomatics, Natural Hazards & Risk Anthropic landscape high resolution Digital Terrain Model land abandonment morphometric filtering rapid mapping |
author_facet |
Danilo Godone Daniele Giordan Marco Baldo |
author_sort |
Danilo Godone |
title |
Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR |
title_short |
Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR |
title_full |
Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR |
title_fullStr |
Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR |
title_full_unstemmed |
Rapid mapping application of vegetated terraces based on high resolution airborne LiDAR |
title_sort |
rapid mapping application of vegetated terraces based on high resolution airborne lidar |
publisher |
Taylor & Francis Group |
series |
Geomatics, Natural Hazards & Risk |
issn |
1947-5705 1947-5713 |
publishDate |
2018-01-01 |
description |
The aim of this work is to define a methodology for terraced areas survey and rapid mapping in a complex environment, like Ligurian (Northwestern Italy) one, where a remarkable percentage of its surface is estimated as terraced and where the canopy coverage makes their recognition very hard. Methodology steps are the definition of LiDAR survey parameters, morphometric filtering and GIS processing for final mapping. Each phase is oriented to provide a reliable terrace mapping, also practicable in canopy-covered areas due to a particular attention to land cover influence. The work considers a case study (Rupinaro basin) close to Cinque Terre, with a mixed land cover (terraces, forest and urbanized areas). The methodology provided encouraging results detecting 448 ha of terraces, 95% of them located under canopy cover. This finding pointed out that terraces mapping cannot rely only on photo-interpretation, as canopies will hamper their detection. Mapping of these areas, frequently characterized by abandonment, is crucial while identifying potential trigger factors for slope instabilities. This case study highlighted the importance of a carefully planned production chain, that should start from LiDAR survey parameter choice, providing the best input for analysis algorithm and providing the correct identification of terraces. |
topic |
Anthropic landscape high resolution Digital Terrain Model land abandonment morphometric filtering rapid mapping |
url |
http://dx.doi.org/10.1080/19475705.2018.1478893 |
work_keys_str_mv |
AT danilogodone rapidmappingapplicationofvegetatedterracesbasedonhighresolutionairbornelidar AT danielegiordan rapidmappingapplicationofvegetatedterracesbasedonhighresolutionairbornelidar AT marcobaldo rapidmappingapplicationofvegetatedterracesbasedonhighresolutionairbornelidar |
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1725062517271560192 |