Estudo da dinâmica espaço-temporal do NDVI no Município de Sorriso-MT

Soares, J.; Danelichen, Victor Hugo de Morais; Pereira, Osvaldo Alves; Martins, André Luiz

doi:10.26848/rbgf.v13.2.p834-841

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…With the productive advance subsidized by farming modernization, there were transformations in space, as on the field as in the city (Silva, Lunas, 2015), bringing to the Southwest of Goiás the expansion of mechanical areas, the increase in deforested areas, implementation of poultry and swine industries, urbanization, and the like (Pizarro & Araújo Sobrinho, 2019). The growth of agriculture implies the development of the economy and the creation of income in the sectors related to commerce and service, however, represents a high cost to nature (Soares et al, 2020), causing impacts in the hydrographic basins as water erosion, soil and water pollution.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the transition of the land use and cover: subsidy to public policies of soil use in the Brazilian Savannah

Pilatti

Alves

Oliveira

et al. 2022

Rev. Bras. Geog. Fis.

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The changes in the land use and cover to supply the human demands have caused an unbalance in the ecosystems. Therefore, understanding the space-time dynamics of the transformations of soil use allows enabling technical-scientific basis to protect vulnerable areas, which is possible through the application of the Geographic Information System (GIS), and of remote sensing products. Thus, the objective was to analyze the changes of the land use and cover in the years of 2013 and 2020 in the hydrographic basin of Montividiu River, in the state of Goiás, Brazil, using images of Operational Land Imager (OLI) system. The verification of the pattern and magnitude of the changes of the land use and factors that have influenced the process occurred by a synergy of orbital data, observation on the field, and geospatial analysis with the Cross-tabulation Matrix. Conversions between classes of pasture, exposed soil, agriculture, Cerrado's natural vegetation, industry, rural buildings, water, and the like, were identified, emphasizing the domain of agriculture areas since 2013, the decrease of native vegetation, and expansion of areas of exposed soil, industries areas, urban areas, areas destined to eucalyptus plantation, and rural buildings. The results showed transformations in the soil cover, and the environmental implications of the changes of land use in the hydrographic basin of Montividiu River, enabling data to subsidize policies of local land use and other studies.

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Section: Discussionmentioning

confidence: 99%

Analysis of the transition of the land use and cover: subsidy to public policies of soil use in the Brazilian Savannah

Pilatti

Alves

Oliveira

et al. 2022

Rev. Bras. Geog. Fis.

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“…No monitoramento das culturas, é possível computar índices de vegetação como o NDVI (Normalized Difference Vegetation Index) e LAI (Leaf Area Index), que trazem informações importantes sobre a vegetação e possibilita a tomada de decisões pelo poder público responsável pela gestão urbana. Segundo Soares et al (2020) se torna necessário o desenvolvimento de trabalhos, que utilizem técnicas e métodos que permitam analisar os processos de degradação da paisagem nativa de uma região, de modo que este possa ser utilizado no estabelecimento de políticas e estratégias, cujo objetivo seja o desenvolvimento sustentável. Assim, o NDVI derivado de diferentes informações do sensor pode ser usado para detectar processos de densificação em pequena escala ou alterações na cobertura de espaços verdes, mesmo em áreas urbanas.…”

Section: Introductionunclassified

Investigação do Uso de Parâmetros Biofísicos na Influência do Microclima Dentro de Áreas Urbanas

2021

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Diante da necessidade de obtenção de informações relacionadas ao microclima e influência da vegetação dentro de um perímetro urbano na qualidade de vida dos seus habitantes se define como parâmetros biofísicos a serem estudados nesta pesquisa o Normalized Difference Vegetation Index (NDVI) e Leaf Area Index (LAI). Considerando que o Sensoriamento Remoto é uma tecnologia de baixo custo e fácil aquisição podendo ser obtidas gratuitamente, via banco de dados disponíveis na Internet, verifica-se que o sensoriamento pode ser utilizado como fonte confiável de levantamento desses parâmetros. Este estudo tem como objetivo analisar a produção científica sobre o uso do sensoriamento remoto como tecnologia alternativa para obtenção de informações de parâmetros biofísicos, como o NDVI e LAI, possibilitando a preservação e o planejamento da vegetação nos espaços urbanos. O artigo se trata de uma revisão narrativa realizada através de consultas aos bancos de dados Scientific Electronic Library Online (SciELO), Literatura Latino-Americana e, principalmente, do banco de dados Scopus (Elsevier) da CAPES. Como critérios de inclusão foram aplicados: artigos com disponibilidade completa de 2010 até 2020 e com relação direta com o estudo. É possível concluir que como o ambiente sofre alterações constantes pela ação antrópica e a interpretação de imagens de satélite é uma fonte direta de se determinar a dinâmica dos processos envolvidos em tais alterações, a fotointerpretação e o processamento digital de imagens assumem papel de grande importância. Tais ferramentas permitem fornecer subsídios para a compreensão dos fenômenos ambientais, além da possibilidade de planejamento estratégico no planejamento urbano. As revisões bibliográficas realizadas indicam a fotointerpretação e o processamento digital de imagens como ferramentas ainda pouco utilizadas para estimar os parâmetros biofísicos no contexto urbano. Palavras-chave: Sensoriamento Remoto. Espaços Urbanos. NDVI e LAI. AbstractGiven the need to obtain information related to the vegetation microclimate and influence within an urban perimeter on the quality of life of its inhabitants, it was defined as biophysical parameters to be studied in this research the Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI). Considering that Remote Sensing is a low cost and easy acquisition technology and can be obtained free of charge via the database available on the Internet, it will be verified that sensing can be used as a reliable source of survey of these parameters. This study aims to analyze the scientific production on the use of remote sensing as an alternative technology to obtain information from biophysical parameters, such as NDVI and LAI, enabling the vegetation preservation and planning in urban spaces. The article is a narrative review carried out through consultations with the Databases Scientific Electronic Library Online (SciELO), Latin American Literature and mainly the Scopus database (Elsevier) of CAPES. Inclusion criteria were applied: articles with complete availability from 2010 to 2020 and with direct relation to the study. It is possible to conclude that the environment undergoes constant changes by anthropic action and the satellite images interpretation is a direct source for determining the processes dynamics involved in such changes, photointerpretation and digital image processing play a major role. Such tools allow to provide subsidies for the understanding of environmental phenomena, in addition to the possibility of strategic planning in urban planning. The bibliographic reviews performed indicate photointerpretation and digital image processing as tools still little used to estimate biophysical parameters in the urban context. Keywords: Remote Sensing. Urban Spaces. NDVI and LAI

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“…Agricultural activities depending directly on water consumption for its development affect population growth and its demands on food, which is competing with the water supply in industries, homes and environmental (Vörösmarty et al, 2010;FAO, 2018). It is estimated an average rate of 4.7% growth of the agricultural area in Brazil per year over the next decade, one of the largest in the world, and much of that growth is in the Cerrado, Pantanal and Amazon (Menke et al, 2009;Soares et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The Surface Energy Balance Algorithm for Land (SEBAL) framework in Graphics Processing Units (GPU) using Cuda and OpenCL

Gomes

Danelichen

Biudes

et al. 2021

Rev. Bras. Geog. Fis.

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Evapotranspiration (ET) is the second largest component of the terrestrial hydrological cycle on a global scale. The estimation of ET at regional scale using satellite imagery and algorithms allow the conversion of instantaneous measures in daily totals which represents a major contribution to the study of energy exchange between the biosphere and atmosphere. One of the most important remote sensing algorithms used to estimate the spatial partitioning of energy is the SEBAL -Surface Energy Balance Algorithm for Land. The time processing of this algorithm can be very high depending on the size of the image. Thus, the objective of this study was to propose a framework of the use of graphic processing units (GPU) to run the SEBAL to increase the performance and reduce the time required to run it. For implementation of SEBAL's framework was used local data collected in a micrometeorological tower installed in an area located in the Northern Pantanal (Brazil) and Landsat 5 -TM image. We used the Model Maker function of the ERDAS 9.2 Software to run SEBAL algorithm, and its implementation in Java, CUDA and OpenCL languages. A daily ET estimated by SEBAL in JAVA, CUDA and OpenCL languages were similar to the value performed by ERDAS software. The daily ET computed by the ERDAS software was 10% lower and the SEBAL computed in JAVA language, CUDA and OpenCL was 9% lower than the ET obtained by the Bowen ratio method. The results showed that CUDA was better due to the Speed Up performance up to 35,000 times.

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Estudo da dinâmica espaço-temporal do NDVI no Município de Sorriso-MT

Cited by 4 publications

References 12 publications

Analysis of the transition of the land use and cover: subsidy to public policies of soil use in the Brazilian Savannah

Analysis of the transition of the land use and cover: subsidy to public policies of soil use in the Brazilian Savannah

Investigação do Uso de Parâmetros Biofísicos na Influência do Microclima Dentro de Áreas Urbanas

The Surface Energy Balance Algorithm for Land (SEBAL) framework in Graphics Processing Units (GPU) using Cuda and OpenCL

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