CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE

ABSTRACT This research was aimed at providing a study of digital elevation models from Airborne Laser Scanner (ALS) data. The goal was to improve the forest monitoring, or more specifically, arboreal canopy monitoring, which contains the most elevated vegetation of the forest. It is also described a...

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Main Authors: Mauro José Alixandrini Junior, Josmar Oliveira Valadares, Carlos Loch
Format: Article
Language:English
Published: Sociedade de Investigações Florestais
Series:Revista Árvore
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500959&lng=en&tlng=en
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spelling doaj-d277afeb44414f9eae82eb09bf6d96fd2020-11-24T22:41:35ZengSociedade de Investigações FlorestaisRevista Árvore1806-908840595996410.1590/0100-67622016000500020S0100-67622016000500959CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILEMauro José Alixandrini JuniorJosmar Oliveira ValadaresCarlos LochABSTRACT This research was aimed at providing a study of digital elevation models from Airborne Laser Scanner (ALS) data. The goal was to improve the forest monitoring, or more specifically, arboreal canopy monitoring, which contains the most elevated vegetation of the forest. It is also described as the surface above the canopy top. The region of rain forest between the states of São Paulo and Paraná in Brazil was analyzed. The proposed method employs the ALS system that provides information related to different vegetative cover bedding, to analyze it and reach to estimate for the most elevated stage. The methodology is based on differentiating the identified surfaces in the original set of data. It uses these surfaces with a raster, which was obtained from an interpolation of different sets of points from the surfaces of interest. The raster structure, unlike vector data, allows for processes linked to the digital processing of images. It enables implementation of digital filters over the data. The method helped in reducing the influence of errors during classification and achieving the theoretical surface. The results revealed a coherent relationship with anthropogenic influence such as the introduction of exotic vegetation. We concluded that arboreal vegetation could be an index of conservation for environmental registration and licensing organizations.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500959&lng=en&tlng=enSensoriamento RemotoSistemas de Gestão AmbientalModelos Digitais
collection DOAJ
language English
format Article
sources DOAJ
author Mauro José Alixandrini Junior
Josmar Oliveira Valadares
Carlos Loch
spellingShingle Mauro José Alixandrini Junior
Josmar Oliveira Valadares
Carlos Loch
CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE
Revista Árvore
Sensoriamento Remoto
Sistemas de Gestão Ambiental
Modelos Digitais
author_facet Mauro José Alixandrini Junior
Josmar Oliveira Valadares
Carlos Loch
author_sort Mauro José Alixandrini Junior
title CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE
title_short CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE
title_full CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE
title_fullStr CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE
title_full_unstemmed CANOPY HEIGHT MODELS TO MONITOR AREAS UNDER DEGRADATION IN MIXED OMBROPHILE
title_sort canopy height models to monitor areas under degradation in mixed ombrophile
publisher Sociedade de Investigações Florestais
series Revista Árvore
issn 1806-9088
description ABSTRACT This research was aimed at providing a study of digital elevation models from Airborne Laser Scanner (ALS) data. The goal was to improve the forest monitoring, or more specifically, arboreal canopy monitoring, which contains the most elevated vegetation of the forest. It is also described as the surface above the canopy top. The region of rain forest between the states of São Paulo and Paraná in Brazil was analyzed. The proposed method employs the ALS system that provides information related to different vegetative cover bedding, to analyze it and reach to estimate for the most elevated stage. The methodology is based on differentiating the identified surfaces in the original set of data. It uses these surfaces with a raster, which was obtained from an interpolation of different sets of points from the surfaces of interest. The raster structure, unlike vector data, allows for processes linked to the digital processing of images. It enables implementation of digital filters over the data. The method helped in reducing the influence of errors during classification and achieving the theoretical surface. The results revealed a coherent relationship with anthropogenic influence such as the introduction of exotic vegetation. We concluded that arboreal vegetation could be an index of conservation for environmental registration and licensing organizations.
topic Sensoriamento Remoto
Sistemas de Gestão Ambiental
Modelos Digitais
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622016000500959&lng=en&tlng=en
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AT josmaroliveiravaladares canopyheightmodelstomonitorareasunderdegradationinmixedombrophile
AT carlosloch canopyheightmodelstomonitorareasunderdegradationinmixedombrophile
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