Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil

The Caatinga, an exclusively Brazilian biome that covers several states in the Northeast of the country, has been undergoing many environmental changes, mainly about its vegetation cover and land use and occupation, consequently, the study of vegetation dynamics and knowle...

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Main Authors: Islânia dos Santos Nunes, Alfredo Marcelo Grigio, Marco Antônio Diodato
Format: Article
Language:English
Published: Universidade Estadual de Ponta Grossa 2024-10-01
Series:Terr@ Plural
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Online Access:https://revistas.uepg.br/index.php/tp/article/view/23142/209209219133
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author Islânia dos Santos Nunes
Alfredo Marcelo Grigio
Marco Antônio Diodato
author_facet Islânia dos Santos Nunes
Alfredo Marcelo Grigio
Marco Antônio Diodato
author_sort Islânia dos Santos Nunes
collection DOAJ
description The Caatinga, an exclusively Brazilian biome that covers several states in the Northeast of the country, has been undergoing many environmental changes, mainly about its vegetation cover and land use and occupation, consequently, the study of vegetation dynamics and knowledge of its different types of use has been widely discussed. The general objective of this work is to analyze the temporal and spatial dynamics of vegetation cover in the Umarizal micro-region, as well as knowledge of the main types of use and occupation. The methodological procedures used were satellite images from the Landsat series, specifically Landsat 5, Landsat 8, and Landsat 9, for both the dry and rainy periods of the years 2000, 2007, 2014, 2017, and 2022. For vegetation analysis, the following index was used: SAVI. QGIS Software, version 3.28.3, was used to create vegetation cover maps. To study the types of land use and occupation, data were obtained from the MapBiomas 7.1 website. After the analyses, it can be observed that SAVI values were higher in the rainy season, the year 2017 stood out for its low photosynthetic activity in both periods, due to the low levels of precipitation presented in the year in all municipalities in the micro-region. Regarding use and occupation, it was highlighted that in the micro-region the main types of use concern forest formation (savanna formation), composed of tree-shrub plant formation of deciduous forest followed by agriculture, mainly formed by temporary crops
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institution Kabale University
issn 1982-095X
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publishDate 2024-10-01
publisher Universidade Estadual de Ponta Grossa
record_format Article
series Terr@ Plural
spelling doaj-art-5fafd87cb8f94d88b5d7e1faf5a51dda2025-01-30T13:14:33ZengUniversidade Estadual de Ponta GrossaTerr@ Plural1982-095X2024-10-0118e242314210.5212/TerraPlural.v.18.2423142.015Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, BrasilIslânia dos Santos Nunes0https://orcid.org/0009-0007-3599-4438Alfredo Marcelo Grigio1https://orcid.org/0000-0002-2094-9710Marco Antônio Diodato2https://orcid.org/0000-0002-9088-836XUniversidade do Estado do Rio Grande do Norte, UERN, Mossoró, RN, BrasilUniversidade do Estado do Rio Grande do Norte, UERN, Mossoró, RN, BrasilUniversidade Federal Rural do Semi-Árido, UFERSA, Mossoró, RN, BrasilThe Caatinga, an exclusively Brazilian biome that covers several states in the Northeast of the country, has been undergoing many environmental changes, mainly about its vegetation cover and land use and occupation, consequently, the study of vegetation dynamics and knowledge of its different types of use has been widely discussed. The general objective of this work is to analyze the temporal and spatial dynamics of vegetation cover in the Umarizal micro-region, as well as knowledge of the main types of use and occupation. The methodological procedures used were satellite images from the Landsat series, specifically Landsat 5, Landsat 8, and Landsat 9, for both the dry and rainy periods of the years 2000, 2007, 2014, 2017, and 2022. For vegetation analysis, the following index was used: SAVI. QGIS Software, version 3.28.3, was used to create vegetation cover maps. To study the types of land use and occupation, data were obtained from the MapBiomas 7.1 website. After the analyses, it can be observed that SAVI values were higher in the rainy season, the year 2017 stood out for its low photosynthetic activity in both periods, due to the low levels of precipitation presented in the year in all municipalities in the micro-region. Regarding use and occupation, it was highlighted that in the micro-region the main types of use concern forest formation (savanna formation), composed of tree-shrub plant formation of deciduous forest followed by agriculture, mainly formed by temporary cropshttps://revistas.uepg.br/index.php/tp/article/view/23142/209209219133caatinga vegetation.saviland cover
spellingShingle Islânia dos Santos Nunes
Alfredo Marcelo Grigio
Marco Antônio Diodato
Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil
Terr@ Plural
caatinga vegetation.
savi
land cover
title Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil
title_full Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil
title_fullStr Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil
title_full_unstemmed Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil
title_short Análise da dinâmica temporal da cobertura vegetal na microrregião de Umarizal (2000 a 2022), semiárido do Rio Grande do Norte, Brasil
title_sort analise da dinamica temporal da cobertura vegetal na microrregiao de umarizal 2000 a 2022 semiarido do rio grande do norte brasil
topic caatinga vegetation.
savi
land cover
url https://revistas.uepg.br/index.php/tp/article/view/23142/209209219133
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