Forest cover change analysis based on temporal gradients of the vertical structure and density

Canopy height is an important attribute that allows characterizing the forest vertical structure and analyze changes in vegetation cover over time. The objective of this study is to develop an approach for a spatio-temporal analysis of the tropical forest canopy using multi-temporal photogrammetric...

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Autores principales:	Adilson Berveglieri, Nilton N. Imai, Antonio M.G. Tommaselli, Rorai P. Martins-Neto, Gabriela Takahashi Miyoshi, Eija Honkavaara
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Cover change Historical image Photogrammetry Temporal gradient Tropical forest Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/f14e5eab73fb4d78856780efe424a111
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id	oai:doaj.org-article:f14e5eab73fb4d78856780efe424a111
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spelling	oai:doaj.org-article:f14e5eab73fb4d78856780efe424a1112021-12-01T04:49:01ZForest cover change analysis based on temporal gradients of the vertical structure and density1470-160X10.1016/j.ecolind.2021.107597https://doaj.org/article/f14e5eab73fb4d78856780efe424a1112021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002624https://doaj.org/toc/1470-160XCanopy height is an important attribute that allows characterizing the forest vertical structure and analyze changes in vegetation cover over time. The objective of this study is to develop an approach for a spatio-temporal analysis of the tropical forest canopy using multi-temporal photogrammetric images. The datasets based on film and digital cameras are used to generate canopy height models and extract structural variables (tree height, relative variance between tree heights, and density of higher trees in the upper canopy). The combination of these variables is used in the analysis. Each variable is segmented into ordinal categorical classes in its respective dataset with temporal class gradients being obtained between the periods of the multi-temporal datasets. Experiments were conducted in a tropical forest under regeneration and with diversity of tree species in different successional stages. Three sets of images (years 1978, 2010, and 2017) were used for analyzing canopy cover changes. A classification based on histograms of gradient classes indicated and quantified the most frequent behavior of the canopy over time. The results showed that the most significant variations in cover changes could be explained by 13 classes of temporal gradients, which described 88% of the canopy. This classification was validated with field data collected in sample plots. From the results, it can be concluded that the proposed approach provides accurate assessments of the spatio-temporal canopy cover changes for forest management.Adilson BerveglieriNilton N. ImaiAntonio M.G. TommaselliRorai P. Martins-NetoGabriela Takahashi MiyoshiEija HonkavaaraElsevierarticleCover changeHistorical imagePhotogrammetryTemporal gradientTropical forestEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107597- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cover change Historical image Photogrammetry Temporal gradient Tropical forest Ecology QH540-549.5
spellingShingle	Cover change Historical image Photogrammetry Temporal gradient Tropical forest Ecology QH540-549.5 Adilson Berveglieri Nilton N. Imai Antonio M.G. Tommaselli Rorai P. Martins-Neto Gabriela Takahashi Miyoshi Eija Honkavaara Forest cover change analysis based on temporal gradients of the vertical structure and density
description	Canopy height is an important attribute that allows characterizing the forest vertical structure and analyze changes in vegetation cover over time. The objective of this study is to develop an approach for a spatio-temporal analysis of the tropical forest canopy using multi-temporal photogrammetric images. The datasets based on film and digital cameras are used to generate canopy height models and extract structural variables (tree height, relative variance between tree heights, and density of higher trees in the upper canopy). The combination of these variables is used in the analysis. Each variable is segmented into ordinal categorical classes in its respective dataset with temporal class gradients being obtained between the periods of the multi-temporal datasets. Experiments were conducted in a tropical forest under regeneration and with diversity of tree species in different successional stages. Three sets of images (years 1978, 2010, and 2017) were used for analyzing canopy cover changes. A classification based on histograms of gradient classes indicated and quantified the most frequent behavior of the canopy over time. The results showed that the most significant variations in cover changes could be explained by 13 classes of temporal gradients, which described 88% of the canopy. This classification was validated with field data collected in sample plots. From the results, it can be concluded that the proposed approach provides accurate assessments of the spatio-temporal canopy cover changes for forest management.
format	article
author	Adilson Berveglieri Nilton N. Imai Antonio M.G. Tommaselli Rorai P. Martins-Neto Gabriela Takahashi Miyoshi Eija Honkavaara
author_facet	Adilson Berveglieri Nilton N. Imai Antonio M.G. Tommaselli Rorai P. Martins-Neto Gabriela Takahashi Miyoshi Eija Honkavaara
author_sort	Adilson Berveglieri
title	Forest cover change analysis based on temporal gradients of the vertical structure and density
title_short	Forest cover change analysis based on temporal gradients of the vertical structure and density
title_full	Forest cover change analysis based on temporal gradients of the vertical structure and density
title_fullStr	Forest cover change analysis based on temporal gradients of the vertical structure and density
title_full_unstemmed	Forest cover change analysis based on temporal gradients of the vertical structure and density
title_sort	forest cover change analysis based on temporal gradients of the vertical structure and density
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f14e5eab73fb4d78856780efe424a111
work_keys_str_mv	AT adilsonberveglieri forestcoverchangeanalysisbasedontemporalgradientsoftheverticalstructureanddensity AT niltonnimai forestcoverchangeanalysisbasedontemporalgradientsoftheverticalstructureanddensity AT antoniomgtommaselli forestcoverchangeanalysisbasedontemporalgradientsoftheverticalstructureanddensity AT roraipmartinsneto forestcoverchangeanalysisbasedontemporalgradientsoftheverticalstructureanddensity AT gabrielatakahashimiyoshi forestcoverchangeanalysisbasedontemporalgradientsoftheverticalstructureanddensity AT eijahonkavaara forestcoverchangeanalysisbasedontemporalgradientsoftheverticalstructureanddensity
_version_	1718405758938251264

Forest cover change analysis based on temporal gradients of the vertical structure and density

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