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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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 |
work_keys_str_mv |
AT maurojosealixandrinijunior canopyheightmodelstomonitorareasunderdegradationinmixedombrophile AT josmaroliveiravaladares canopyheightmodelstomonitorareasunderdegradationinmixedombrophile AT carlosloch canopyheightmodelstomonitorareasunderdegradationinmixedombrophile |
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1725701743485911040 |