Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.11137/2019_4_206_218 http://hdl.handle.net/11449/228758 |
Resumo: | 3D reconstruction of forest canopy for retrospective studies over time is possible from historical aerial photographs using modern photogrammetric algorithms. This enables the structural change analysis in forested areas and the conservation or regeneration monitoring in degraded areas. In this context, the article presents an application of photogrammetric techniques (combined with a terrain model derived from a LASER point cloud) to generate tree height models. Two height models, one dating from 1978 and another from 2017, were produced to evaluate the regeneration of an Atlantic Rainforest forest. A segmentation based on superpixels was made in both heights models to subdivide the canopy into homogeneous regions (coincident between the two dates). A local statistical analysis was conducted based on a classification in three levels of heights, which was validated with data of field. As a result, it was found that deforested areas are regenerating; however, such areas present difficulties to grow to the highest canopy. The error in height, estimated in the historical surface model, was 0.55 m, which is acceptable for forest studies and is comparable to results obtained in boreal forests. |
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Repositório Institucional da UNESP |
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Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forestGeração de Modelo de Altura de Árvore Usando Imagens Aéreas Históricas para o Monitoramento da Regeneração em Floresta Tropical de Mata Atlântica3D reconstructionAbsolute height modelHistorical photogrammetry3D reconstruction of forest canopy for retrospective studies over time is possible from historical aerial photographs using modern photogrammetric algorithms. This enables the structural change analysis in forested areas and the conservation or regeneration monitoring in degraded areas. In this context, the article presents an application of photogrammetric techniques (combined with a terrain model derived from a LASER point cloud) to generate tree height models. Two height models, one dating from 1978 and another from 2017, were produced to evaluate the regeneration of an Atlantic Rainforest forest. A segmentation based on superpixels was made in both heights models to subdivide the canopy into homogeneous regions (coincident between the two dates). A local statistical analysis was conducted based on a classification in three levels of heights, which was validated with data of field. As a result, it was found that deforested areas are regenerating; however, such areas present difficulties to grow to the highest canopy. The error in height, estimated in the historical surface model, was 0.55 m, which is acceptable for forest studies and is comparable to results obtained in boreal forests.Universidade Estadual Paulista Faculdade de Ciências e Tecnologia Departamento de Estatística, Rua Roberto Simonsen, 305Universidade Estadual Paulista Faculdade de Ciências e Tecnologia Departamento de Cartografia, Rua Roberto Simonsen, 305Universidade Estadual Paulista Faculdade de Ciências e Tecnologia Departamento de Planejamento Arquitetura e Ambiente, Rua Roberto Simonsen, 305Universidade Estadual Paulista Faculdade de Ciências e Tecnologia Departamento de Estatística, Rua Roberto Simonsen, 305Universidade Estadual Paulista Faculdade de Ciências e Tecnologia Departamento de Cartografia, Rua Roberto Simonsen, 305Universidade Estadual Paulista Faculdade de Ciências e Tecnologia Departamento de Planejamento Arquitetura e Ambiente, Rua Roberto Simonsen, 305Universidade Estadual Paulista (UNESP)Berveglieri, Adilson [UNESP]Imai, Nilton Nobuhiro [UNESP]Tommaselli, Antonio Maria Garcia [UNESP]Martinez, Beatriz Fabretti [UNESP]2022-04-29T08:28:31Z2022-04-29T08:28:31Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article208-218http://dx.doi.org/10.11137/2019_4_206_218Anuario do Instituto de Geociencias, v. 42, n. 4, p. 208-218, 2019.1982-39080101-9759http://hdl.handle.net/11449/22875810.11137/2019_4_206_2182-s2.0-85077061453Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporAnuario do Instituto de Geocienciasinfo:eu-repo/semantics/openAccess2024-06-19T14:51:25Zoai:repositorio.unesp.br:11449/228758Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:21:26.818267Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest Geração de Modelo de Altura de Árvore Usando Imagens Aéreas Históricas para o Monitoramento da Regeneração em Floresta Tropical de Mata Atlântica |
title |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest |
spellingShingle |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest Berveglieri, Adilson [UNESP] 3D reconstruction Absolute height model Historical photogrammetry |
title_short |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest |
title_full |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest |
title_fullStr |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest |
title_full_unstemmed |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest |
title_sort |
Canopy height model generation from historical images for monitoring of regeneration in atlantic rain forest |
author |
Berveglieri, Adilson [UNESP] |
author_facet |
Berveglieri, Adilson [UNESP] Imai, Nilton Nobuhiro [UNESP] Tommaselli, Antonio Maria Garcia [UNESP] Martinez, Beatriz Fabretti [UNESP] |
author_role |
author |
author2 |
Imai, Nilton Nobuhiro [UNESP] Tommaselli, Antonio Maria Garcia [UNESP] Martinez, Beatriz Fabretti [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Berveglieri, Adilson [UNESP] Imai, Nilton Nobuhiro [UNESP] Tommaselli, Antonio Maria Garcia [UNESP] Martinez, Beatriz Fabretti [UNESP] |
dc.subject.por.fl_str_mv |
3D reconstruction Absolute height model Historical photogrammetry |
topic |
3D reconstruction Absolute height model Historical photogrammetry |
description |
3D reconstruction of forest canopy for retrospective studies over time is possible from historical aerial photographs using modern photogrammetric algorithms. This enables the structural change analysis in forested areas and the conservation or regeneration monitoring in degraded areas. In this context, the article presents an application of photogrammetric techniques (combined with a terrain model derived from a LASER point cloud) to generate tree height models. Two height models, one dating from 1978 and another from 2017, were produced to evaluate the regeneration of an Atlantic Rainforest forest. A segmentation based on superpixels was made in both heights models to subdivide the canopy into homogeneous regions (coincident between the two dates). A local statistical analysis was conducted based on a classification in three levels of heights, which was validated with data of field. As a result, it was found that deforested areas are regenerating; however, such areas present difficulties to grow to the highest canopy. The error in height, estimated in the historical surface model, was 0.55 m, which is acceptable for forest studies and is comparable to results obtained in boreal forests. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 2022-04-29T08:28:31Z 2022-04-29T08:28:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.11137/2019_4_206_218 Anuario do Instituto de Geociencias, v. 42, n. 4, p. 208-218, 2019. 1982-3908 0101-9759 http://hdl.handle.net/11449/228758 10.11137/2019_4_206_218 2-s2.0-85077061453 |
url |
http://dx.doi.org/10.11137/2019_4_206_218 http://hdl.handle.net/11449/228758 |
identifier_str_mv |
Anuario do Instituto de Geociencias, v. 42, n. 4, p. 208-218, 2019. 1982-3908 0101-9759 10.11137/2019_4_206_218 2-s2.0-85077061453 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Anuario do Instituto de Geociencias |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
208-218 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128501832744960 |