GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.

The LiDAR (Light Detection and Ranging) technology, based on the scanning of the territory by airborne laser telemeters, allows the construction of Digital Surface Models (DSM) by a simple data interpolation, and Digital Terrain Models (DTM) by the identification and removal of attached and detached...

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Detalles Bibliográficos
Autores: Antolin Sánchez, Roberto, Brovelli, M. A.
Tipo de recurso: capítulo de libro
Fecha de publicación:2008
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/53260
Acceso en línea:https://hdl.handle.net/20.500.14352/53260
Access Level:acceso abierto
Palabra clave:53
GIS
free software
GRASS
LiDAR
vegetation.
Física (Física)
22 Física
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oai_identifier_str oai:docta.ucm.es:20.500.14352/53260
network_acronym_str ES
network_name_str España
repository_id_str
spelling GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.Antolin Sánchez, RobertoBrovelli, M. A.53GISfree softwareGRASSLiDARvegetation.Física (Física)22 FísicaThe LiDAR (Light Detection and Ranging) technology, based on the scanning of the territory by airborne laser telemeters, allows the construction of Digital Surface Models (DSM) by a simple data interpolation, and Digital Terrain Models (DTM) by the identification and removal of attached and detached object (such as buildings, bridges, power lines or trees). For this purpose, the Laboratory of Geomatica of the Politecnico di Milano - Campus of Como – developed a filter algorithm based on bilinear or bicubic spline interpolation with Tychonov regularization in a least squares approach. However, in many cases it is still necessary a more accurate and complex DEM in which a distinction between buildings and vegetation is needed, like in some hydrological hazard prevention models, where only vegetation has to be removed, or in automatic 3D city modeling where vegetation is problematic because it interferes with the vectorization of the building models. Therefore the filter was revised and further improvements were carried out in order to allow an automatic classification between buildings and vegetation. The procedure uses LiDAR altimetric data as unique information and takes advantage of the differences in height between first and last LiDAR pulses. Firstly, the old filter (consisting in an edge detection, a region growing and a correction algorithms) is applied to these differences. Then, a vectorization is made by considering clustered points classified as 'double pulse'. Vegetation is obtain by discriminating the shape and size of the polygons obtained in the vectorization. The filter has been developed into the free and open source GRASS 6.2 GIS software (under general public license GPL) as part of the LiDAR tools, in such a way to have an integrated environment suitable to enter, visualize and process the data.Universitat de Girona, SIGTEUniversidad Complutense de Madrid20082008-01-0120082008-01-01book parthttp://purl.org/coar/resource_type/c_3248info:eu-repo/semantics/bookPartapplication/pdfhttps://hdl.handle.net/20.500.14352/53260reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/532602026-06-02T12:44:21Z
dc.title.none.fl_str_mv GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
title GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
spellingShingle GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
Antolin Sánchez, Roberto
53
GIS
free software
GRASS
LiDAR
vegetation.
Física (Física)
22 Física
title_short GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
title_full GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
title_fullStr GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
title_full_unstemmed GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
title_sort GRASS GIS for the distinction of vegetation from buildings using LiDAR altimetric data.
dc.creator.none.fl_str_mv Antolin Sánchez, Roberto
Brovelli, M. A.
author Antolin Sánchez, Roberto
author_facet Antolin Sánchez, Roberto
Brovelli, M. A.
author_role author
author2 Brovelli, M. A.
author2_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 53
GIS
free software
GRASS
LiDAR
vegetation.
Física (Física)
22 Física
topic 53
GIS
free software
GRASS
LiDAR
vegetation.
Física (Física)
22 Física
description The LiDAR (Light Detection and Ranging) technology, based on the scanning of the territory by airborne laser telemeters, allows the construction of Digital Surface Models (DSM) by a simple data interpolation, and Digital Terrain Models (DTM) by the identification and removal of attached and detached object (such as buildings, bridges, power lines or trees). For this purpose, the Laboratory of Geomatica of the Politecnico di Milano - Campus of Como – developed a filter algorithm based on bilinear or bicubic spline interpolation with Tychonov regularization in a least squares approach. However, in many cases it is still necessary a more accurate and complex DEM in which a distinction between buildings and vegetation is needed, like in some hydrological hazard prevention models, where only vegetation has to be removed, or in automatic 3D city modeling where vegetation is problematic because it interferes with the vectorization of the building models. Therefore the filter was revised and further improvements were carried out in order to allow an automatic classification between buildings and vegetation. The procedure uses LiDAR altimetric data as unique information and takes advantage of the differences in height between first and last LiDAR pulses. Firstly, the old filter (consisting in an edge detection, a region growing and a correction algorithms) is applied to these differences. Then, a vectorization is made by considering clustered points classified as 'double pulse'. Vegetation is obtain by discriminating the shape and size of the polygons obtained in the vectorization. The filter has been developed into the free and open source GRASS 6.2 GIS software (under general public license GPL) as part of the LiDAR tools, in such a way to have an integrated environment suitable to enter, visualize and process the data.
publishDate 2008
dc.date.none.fl_str_mv 2008
2008-01-01
2008
2008-01-01
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/53260
url https://hdl.handle.net/20.500.14352/53260
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat de Girona, SIGTE
publisher.none.fl_str_mv Universitat de Girona, SIGTE
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422692572069888
score 15,301603

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