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Mapping of the spatial-temporal change for vegetation canopy in rough relief areas

The purpose of this paper is to present a way of mapping the changes happened in regions with vegetation canopy by means of multiespectral images, using a methodology especially designed for rough relieves, where generally the landforms work as an obstacle for the solar radiation propagation, provid...

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Principais autores: França, Leandro Luiz Silva de, Silva, Luiz Felipe Coutinho Ferreira da, Silva, Wagner Barreto da
Formato: Artigo
Idioma: Português
Publicado em: Universidade Tecnológica Federal do Paraná (UTFPR) 2017
Acesso em linha: http://periodicos.utfpr.edu.br/rbgeo/article/view/5647
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spelling peri-article-56472018-05-08T01:35:48Z Mapping of the spatial-temporal change for vegetation canopy in rough relief areas França, Leandro Luiz Silva de Silva, Luiz Felipe Coutinho Ferreira da Silva, Wagner Barreto da Geofísica/Sensoriamento Remoto Cobertura Vegetal; Sensoriamento Remoto; Detecção de Vegetação Sombreada; NDVI The purpose of this paper is to present a way of mapping the changes happened in regions with vegetation canopy by means of multiespectral images, using a methodology especially designed for rough relieves, where generally the landforms work as an obstacle for the solar radiation propagation, providing the occurrence of shaded areas. The detection of vegetation areas is not efficient using only techniques as the Normalized Difference Vegetation Index (NDVI). In order to illustrate the mapping proposed technique, it was designed a map that shows the alteration in vegetation cover in the city of Rio de Janeiro whose relief is mostly made up of hills. The set of techniques for determination of vegetation which will overcome the limitations caused by shaded areas is based upon the overlay of the results from the Normalized Difference Vegetation Index (NDVI) and the shaded areas calculated from the Digital Elevation Model (DEM) for verifing the existence of vegetation in regions with low brightness at the moment of the image’s capture by the satellite. Then, it will be possible to verify the existence of vegetation areas even in low illumination regions. These techniques were applied on a series with time interval of ten years using Landsat images considering the period from 1985 to 2015. The combination of the NDVI and DEM images with different insolation directions allowed more consistent results with the vegetation’s reality, reaching more than 97% accuracy. The final product of this work corresponds to a map that identifies the change in vegetation during these 30 years. Universidade Tecnológica Federal do Paraná (UTFPR) 2017-07-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://periodicos.utfpr.edu.br/rbgeo/article/view/5647 10.3895/rbgeo.v5n3.5647 Revista Brasileira de Geomática; v. 5, n. 3 (2017); 343-360 Revista Brasileira de Geomática; v. 5, n. 3 (2017); 343-360 2317-4285 10.3895/rbgeo.v5n3 por http://periodicos.utfpr.edu.br/rbgeo/article/view/5647/4317 Direitos autorais 2017 CC-BY http://creativecommons.org/licenses/by/4.0
institution Universidade Tecnológica Federal do Paraná
collection PERI
language Português
format Artigo
author França, Leandro Luiz Silva de
Silva, Luiz Felipe Coutinho Ferreira da
Silva, Wagner Barreto da
spellingShingle França, Leandro Luiz Silva de
Silva, Luiz Felipe Coutinho Ferreira da
Silva, Wagner Barreto da
Mapping of the spatial-temporal change for vegetation canopy in rough relief areas
author_sort França, Leandro Luiz Silva de
title Mapping of the spatial-temporal change for vegetation canopy in rough relief areas
title_short Mapping of the spatial-temporal change for vegetation canopy in rough relief areas
title_full Mapping of the spatial-temporal change for vegetation canopy in rough relief areas
title_fullStr Mapping of the spatial-temporal change for vegetation canopy in rough relief areas
title_full_unstemmed Mapping of the spatial-temporal change for vegetation canopy in rough relief areas
title_sort mapping of the spatial-temporal change for vegetation canopy in rough relief areas
description The purpose of this paper is to present a way of mapping the changes happened in regions with vegetation canopy by means of multiespectral images, using a methodology especially designed for rough relieves, where generally the landforms work as an obstacle for the solar radiation propagation, providing the occurrence of shaded areas. The detection of vegetation areas is not efficient using only techniques as the Normalized Difference Vegetation Index (NDVI). In order to illustrate the mapping proposed technique, it was designed a map that shows the alteration in vegetation cover in the city of Rio de Janeiro whose relief is mostly made up of hills. The set of techniques for determination of vegetation which will overcome the limitations caused by shaded areas is based upon the overlay of the results from the Normalized Difference Vegetation Index (NDVI) and the shaded areas calculated from the Digital Elevation Model (DEM) for verifing the existence of vegetation in regions with low brightness at the moment of the image’s capture by the satellite. Then, it will be possible to verify the existence of vegetation areas even in low illumination regions. These techniques were applied on a series with time interval of ten years using Landsat images considering the period from 1985 to 2015. The combination of the NDVI and DEM images with different insolation directions allowed more consistent results with the vegetation’s reality, reaching more than 97% accuracy. The final product of this work corresponds to a map that identifies the change in vegetation during these 30 years.
publisher Universidade Tecnológica Federal do Paraná (UTFPR)
publishDate 2017
url http://periodicos.utfpr.edu.br/rbgeo/article/view/5647
_version_ 1805295402937745408
score 10,814766

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