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...

Full description

Bibliographic Details
Main Authors: Danilo Godone, Daniele Giordan, Marco Baldo
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2018.1478893
id doaj-7eaa4e571ef94eebbb3dfd9683defae0
record_format Article
spelling 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
_version_ 1725062517271560192