Distribuição Espaço-Temporal do NDVI sob Condições de Caatinga Preservada

Lourenço, Valéria Ramos; Ramos, Nilvia Nara de Lucena Alves; Costa, Carlos Alexandre Gomes

doi:10.36403/espacoaberto.2017.3565

Cited by 5 publications

(5 citation statements)

References 12 publications

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“…Os valores encontrados no índice NDVI desses pixels pertencentes às áreas de queimadas variaram entre 0,39 e 0,61. Lourenço et al (2017) classificaram áreas de Caatinga natural através de imagens LANDSAT 5/TM e observaram valores que variaram de 0,13 a 0,67. Tal estudo comprovou que o produto MOD13A3 pode ter superestimado alguns valores de NDVI dentro da série temporal analisada nesse estudo, devido a sua limitação quanto à resolução geométrica…”

Section: Resultsunclassified

Importância Do Acompanhamento Técnico E Gerenciamento Da Sangria Nos Seringais

Gonçalves¹,

Martins²,

Bárbaro-Torneli³

et al. 2021

Engenharia Agronômica: Ambientes Agrícolas E Seus Campos De Atuação 2

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Direitos para esta edição cedidos à Atena Editora pelos autores. Todo o conteúdo deste livro está licenciado sob uma Licença de Atribuição Creative Commons. Atribuição-Não-Comercial-NãoDerivativos 4.0 Internacional (CC BY-NC-ND 4.0).O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores, inclusive não representam necessariamente a posição oficial da Atena Editora. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Todos os manuscritos foram previamente submetidos à avaliação cega pelos pares, membros do Conselho Editorial desta Editora, tendo sido aprovados para a publicação com base em critérios de neutralidade e imparcialidade acadêmica.A Atena Editora é comprometida em garantir a integridade editorial em todas as etapas do processo de publicação, evitando plágio, dados ou resultados fraudulentos e impedindo que interesses financeiros comprometam os padrões éticos da publicação. Situações suspeitas de má conduta científica serão investigadas sob o mais alto padrão de rigor acadêmico e ético.

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Section: Resultsunclassified

Importância Do Acompanhamento Técnico E Gerenciamento Da Sangria Nos Seringais

Gonçalves¹,

Martins²,

Bárbaro-Torneli³

et al. 2021

Engenharia Agronômica: Ambientes Agrícolas E Seus Campos De Atuação 2

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“…No caso dos anos secos (2012, 2016 e 2017) e em 2015, especificamente, a precipitação alcançou os menores índices mensais nos três períodos estudados (antes, durante e após a queima). Lourenço et al (2017) perceberam que a variação do índice NDVI se torna mais abrupta em períodos mensais chuvosos do que em secos, reforçando essa característica de adaptação a deficiência hídrica local, pertencente a esse tipo de vegetação. Dito isso, de modo geral, notou-se que a precipitação é um fator bem importante para a regeneração da vegetação na área analisada.…”

Section: Município Mêsunclassified

Caracterização De Cicatrizes De Queimadas Na Mesorregião Do Sertão Pernambucano a Partir De Imagens De Satélites

Júnior¹,

Nascimento²,

Lopes³

et al. 2019

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The mesoregion of Sertão Pernambucano presents climatic conditions that directly affect agricultural production, since it presents a warm, dry climate and irregular rainfall regime. Due to these characteristics, the predominant biome of the region is the Caatinga, which has been suffering over the years with various anthropic actions, including besides deforestation, fires. In order to map and monitor the incidence of hot spots in this mesoregion during the ten year period (2010-2017), this article aims to identify and characterize the profile of these burn scars, aiming to follow the process of regeneration of the plant surface. Based on the results of the digital processing of the satellite images and the vector files of heat sources in the WEKA Data Mining Software, a correlation of 0.8153 was found when crossing the NDVI index data at the time of burning and after such event, where also, these areas susceptible to fire showed a direct link to precipitation prior to the burn event. Such pixels varied in a spectral range of NDVI between 0.25 and 0.44. When the natural recovery capacity of the vegetation in the field after the burn event was evaluated, the most important parameters were: precipitation and NDVI index, both after burning. From a correlation between these values of 0.7264, it was observed that such a process would only occur if two criteria were met: a critical precipitation of 32.25 mm and a posterior minimal NDVI index of 0.39.

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“…According to Sousa (2016), due to the exacerbated and uncontrolled use of the areas located around the hydrographic basins in the past, they are where the main degraded areas are currently located, framed as desertification cores. Hence the importance of studies aimed at the problem of degradation/desertification based on methodologies that make it possible to diagnose and qualify the elements and processes that form these environmental systems to better understand their natural dynamics and their changes in the face of human interventions to which they are subjected (Sousa, 2016;Lourenço et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation of the Vegetation Index by Normalized Difference in the Hydrographic Basin of Pernambuco Semiarid, Brazil

Silva

Lopes

2021

Jour. Hypers. Rem. Sensg.

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Remote sensing is an important mechanism for spatiotemporal monitoring of vegetation. Vegetation indexes have been widely used in monitoring vegetated areas, to determine and estimate the index of leaf area, biomass, and photosynthetically active radiation, among others. In these indexes, the Normalized Difference Index Vegetation (NDVI) stands out, which indicates the health status of a vegetative canopy. Considering the proven applicability of this index, in addition to the relevant importance of the Caatinga biome, related to the need for monitoring at the expense of desertification processes, the article aimed to analyze temporal variations of the NDVI in a hydrographic basin of the Brazilian semiarid region, in the municipality of Itacuruba/PE, Brazil. The study area covers a hydrographic basin belonging to the São Francisco River. Remote sensing techniques were used to estimate the NDVI in four orbital images provided by NASA/USGS in the year 2020, with less than 10% clouds. Then, the data were subjected to descriptive statistical analysis to obtain minimum, maximum, mean, standard deviation, and coefficient of variation values. The results showed that the NDVI presented values ranging from -0.30 to 0.57. The means found ranged from 0.16 to 0.23 for the months studied, as well as in the standard deviation values, values between 0.06 and 0.09 were found, corroborating other correlated studies in the region. The coefficient of variation data showed average variability, according to the Warrick & Nielsen classification criteria. It is noteworthy that, in addition to the dry climate of the region, the shrubby vegetation presents physiological defense characteristics such as the fall of foliage. It was concluded that the use of remote sensing was effective in evaluating the spatial-temporal dynamics of the vegetation index in the watershed, managing to measure environmental variations at the expense of climate change.

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Distribuição Espaço-Temporal do NDVI sob Condições de Caatinga Preservada

Cited by 5 publications

References 12 publications

Importância Do Acompanhamento Técnico E Gerenciamento Da Sangria Nos Seringais

Importância Do Acompanhamento Técnico E Gerenciamento Da Sangria Nos Seringais

Caracterização De Cicatrizes De Queimadas Na Mesorregião Do Sertão Pernambucano a Partir De Imagens De Satélites

Spatiotemporal Variation of the Vegetation Index by Normalized Difference in the Hydrographic Basin of Pernambuco Semiarid, Brazil

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