Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil

Abstract This study aimed to analyze fragments of rangelands through spectral responses and land cover change by livestock in regions of the Caatinga biome through remote sensing. For spectral behavior, the surface reflectance bidirectional (SRB) and spectral indexes of vegetation were used to verif...

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Autores principales:	Leonardo Fiusa de Morais, Ana Clara Rodrigues Cavalcante, Deodato do Nascimento Aquino, Felipe Hermínio Meireles Nogueira, Magno José Duarte Cândido
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fbda5bc59c824ac7a8127cbd14f24ccd
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spelling	oai:doaj.org-article:fbda5bc59c824ac7a8127cbd14f24ccd2021-12-02T18:02:06ZSpectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil10.1038/s41598-021-97784-52045-2322https://doaj.org/article/fbda5bc59c824ac7a8127cbd14f24ccd2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97784-5https://doaj.org/toc/2045-2322Abstract This study aimed to analyze fragments of rangelands through spectral responses and land cover change by livestock in regions of the Caatinga biome through remote sensing. For spectral behavior, the surface reflectance bidirectional (SRB) and spectral indexes of vegetation were used to verify the ragelands seasonality. Land cover change detection of Ouricuri and Tauá through Landsat-8 images with a 16-day revisit interval, were processed in the Google Earth Engine platform (GEE) and software Quantum GIS version 2.18 (QGIS). In the GEE platform, annual mosaics and stacking of the spectral bands were generated for the classification of images, and in sequence the production of thematic maps in QGIS. The analysis of land cover change considered the classes: thinned Caatinga, conserved Caatinga, herbaceous vegetation, bare soil, water and others. The analysis of the spectral responses showed that the vegetation monitored in Ouricuri presented higher SRB in the infrared band and lower SRB in the red and blue bands, and that caused the pasture to produce higher vegetation indexes than the other locations. Through validation, it was observed that in Tauá, there was an overall accuracy of 91% and Kappa index of 89%, and in Ouricuri there was an overall accuracy of 90% and Kappa index of 86%, indicating excellent correctness of the classification model. The classification model proved to be effective in verifying the temporal and spatial land cover change, making it possible to identify places with the vegetation that was most affected and susceptible to degradation and generation of political support to minimize damage to the Caatinga Biome.Leonardo Fiusa de MoraisAna Clara Rodrigues CavalcanteDeodato do Nascimento AquinoFelipe Hermínio Meireles NogueiraMagno José Duarte CândidoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Leonardo Fiusa de Morais Ana Clara Rodrigues Cavalcante Deodato do Nascimento Aquino Felipe Hermínio Meireles Nogueira Magno José Duarte Cândido Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil
description	Abstract This study aimed to analyze fragments of rangelands through spectral responses and land cover change by livestock in regions of the Caatinga biome through remote sensing. For spectral behavior, the surface reflectance bidirectional (SRB) and spectral indexes of vegetation were used to verify the ragelands seasonality. Land cover change detection of Ouricuri and Tauá through Landsat-8 images with a 16-day revisit interval, were processed in the Google Earth Engine platform (GEE) and software Quantum GIS version 2.18 (QGIS). In the GEE platform, annual mosaics and stacking of the spectral bands were generated for the classification of images, and in sequence the production of thematic maps in QGIS. The analysis of land cover change considered the classes: thinned Caatinga, conserved Caatinga, herbaceous vegetation, bare soil, water and others. The analysis of the spectral responses showed that the vegetation monitored in Ouricuri presented higher SRB in the infrared band and lower SRB in the red and blue bands, and that caused the pasture to produce higher vegetation indexes than the other locations. Through validation, it was observed that in Tauá, there was an overall accuracy of 91% and Kappa index of 89%, and in Ouricuri there was an overall accuracy of 90% and Kappa index of 86%, indicating excellent correctness of the classification model. The classification model proved to be effective in verifying the temporal and spatial land cover change, making it possible to identify places with the vegetation that was most affected and susceptible to degradation and generation of political support to minimize damage to the Caatinga Biome.
format	article
author	Leonardo Fiusa de Morais Ana Clara Rodrigues Cavalcante Deodato do Nascimento Aquino Felipe Hermínio Meireles Nogueira Magno José Duarte Cândido
author_facet	Leonardo Fiusa de Morais Ana Clara Rodrigues Cavalcante Deodato do Nascimento Aquino Felipe Hermínio Meireles Nogueira Magno José Duarte Cândido
author_sort	Leonardo Fiusa de Morais
title	Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil
title_short	Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil
title_full	Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil
title_fullStr	Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil
title_full_unstemmed	Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil
title_sort	spectral responses in rangelands and land cover change by livestock in regions of the caatinga biome, brazil
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/fbda5bc59c824ac7a8127cbd14f24ccd
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Spectral responses in rangelands and land cover change by livestock in regions of the Caatinga biome, Brazil

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