Coerência Wavelets em Variável Temperatura do Ar em Área do Bioma Pantaneiro e Área de Alta Densidade Construtiva

Vilani, Maricéia Tatiana; Reis, Nathalia Martins da Silva; Pinto, Osvaldo Borges; Novais, Jonathan Willian Zangeski

doi:10.17921/1415-6938.2018v22n1p5-11

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…O bioma Pantanal constitui 150.355 km² em solo brasileiro, estendendo pelo Paraguai e Bolívia, onde é conhecido como Chaco (Danelichen et al, 2016, Vigano et al, 2018. Este ainda representa 83,14% da sua vegetação nativa segundo o Projeto de Monitoramento do Desmatamento nos Biomas Brasileiros por Satélite (Andrade et al, 2017, Vilani et al, 2018.…”

Section: Introductionunclassified

Avaliação Da Temperatura Da Superfície No Pantanal Mato-Grossense Por Sensoriamento Remoto

Mendes

Danelichen

Pereira

2019

Rev. Bras. Geog. Fis.

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Devido sua grande importância, o Pantanal é objeto de estudos de trabalhos que visam conhecer e proteger sua biodiversidade. Como instrumento indispensável, o Sensoriamento Remoto surge como uma ferramenta ideal para o mapeamento, identificação de queimadas, desmatamento e estudos climáticos. Dentre as variáveis estimadas pelos sensores orbitais, a temperatura da superfície é a menos explorada. Estudos que são conduzidos para validação da temperatura da superfície por meio de sensores orbitais e de estações meteorológicas no bioma Pantanal são escassos. Diante disso, este trabalho visou analisar a dinâmica da temperatura da superfície em uma unidade de conservação no norte do Pantanal a partir de imagens adquiridas do satélite Landsat 8. O estudo foi realizado em uma torre micrometeorológica, localizada entre os municípios de Cuiabá e Santo Antônio de Leverger - MT, situada na encosta de uma unidade de conservação, denominada Monumento Natural Morro de Santo Antônio. Para validação da temperatura da superfície, foram adquiridas imagens do satélite Landsat 8 fornecidos pela USGS. Resultados encontrados nesse trabalho demonstraram o uso das bandas termais do Landsat 8 no norte do Pantanal mato-grossense na discriminação de diferentes alvos na superfície. A análise parcial de cada banda do sensor TIRS demonstrou valores mais elevados na banda 10. A análise estatística dos dados indica que as maiores correlações da temperatura medida na torre meteorológica foram constatadas com a média das bandas termais do satélite Landsat 8. A análise de variância demonstrou que houve diferença significativa entre as médias das temperaturas medida e estimada.Palavras-chaves: banda termal, sensor orbital, Pantanal. Surface temperature evaluation in the Pantanal Mato Grosso by Remote Sensing A B S T R A C TDue to its great importance, the Pantanal is the object of studies that aim to know and protect its biodiversity. As an indispensable tool, Remote Sensing emerges as an ideal tool for the mapping, identification of fires, deforestation and climatic studies. Among the variables estimated by the orbital sensors, the surface temperature is the least explored. Studies that are conducted for surface temperature validation by orbital sensors and meteorological stations in the Pantanal biome are scarce. The study was carried out in a micrometeorological tower, located between the municipalities of Cuiabá and Santo Antônio, located on the slope of a conservation unit, called Natural Monument Morro de Santo Antônio. To validate the surface temperature, images of the Landsat 8 satellite provided by the USGS were acquired. Results obtained in this work demonstrated the use of the Landsat 8 thermal bands in the northern Pantanal of Mato Grosso in the discrimination of different surface targets. The partial analysis of each TIRS sensor band showed higher values in the 10 band. Statistical analysis of the data indicates that the highest correlations of the temperature measured in the meteorological tower were verified with the average of the thermal bands of the satellite Landsat 8. The analysis of variance showed that there was a significant difference between the measured and estimated temperatures.Keywords: thermal band, orbital sensor, Pantanal.

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Section: Introductionunclassified

Avaliação Da Temperatura Da Superfície No Pantanal Mato-Grossense Por Sensoriamento Remoto

Mendes

Danelichen

Pereira

2019

Rev. Bras. Geog. Fis.

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“…A detailed study of its energy levels in time scales, the case of wavelet mathematical tools -particularly the cross wavelet (XWT) and wavelet coherence (WTC) transforms, enable a scientific approach that can hardly be adopted by means of other methods. These transforms work in two ways: as a core where analyses can be integrated to extract information on processes and/or as a basis for representing or characterizing processes (VILANI et al, 2018) (TORRENCE & COMPO, 1998, (ARAGHI, 2015), (FENG & LIANG, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Today, the history of urban climate and planning, as well as urban restructuring and legislation, have important links to the vegetation of microclimates (OKE, 2006), (ROMERO, 2012), as urban climate is a result of the interactions among urban factors, regional climate, the pre-existing physical environment, and soil use and occupation (SHINZATO & DUARTE, 2018), (VAL, 2016), which should be guided by microclimatic analysis and models of urban systems (SHINZATO & DUARTE, 2018), (VILANI et al, 2018), (VAL, 2016). The low-and high-frequency time patterns related to the natural dynamics of these environments are complex and require variables capable of representing them.…”

Section: Introductionmentioning

confidence: 99%

Multiscale Environmental Monitoring in Urban Topoclimate

Rocha

Silva

Mussis

et al. 2019

ABClima

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Climate is a complex system subject to much natural and anthropogenic interference. Urban microclimates and topoclimates need effective methodologies to localize coexisting phenomena, including multiscale approaches that demonstrate their relational character. Air temperature, air relative humidity, and wind are microclimatic variables that can be evaluated with respect to their qualitative energy flow characteristics. The technical performance of this monitoring depends on a good estimate of the statistics of the digital signal assessed, which in turn represents greater care in the management and implementation of structural change indicators derived from frequency-domain modeling. Therefore, this study aimed to analyze the power spectra of the air temperature, air relative humidity and wind data series using the traditional Morlet Continuous Wavelet Transform (CWT) and the Cross Wavelet Transform (XWT), with Wavelet Coherence (WC) analysis. The daily, monthly and annual scales were studied, and the results demonstrated significant interrelationships between the variables. The WC values found were validated by the Monte Carlo method, scalograms and spectrograms, representing seasonal and daily cycle frequencies. The urban fractions presented behavior in accordance with the seasonality of tropical climates of the Cerrado, as well as of interference of the urban roughness. The CWT, XWT and WC tools are adequate for urban monitoring and planning analyses, qualitatively reflecting the urban dynamics of microenvironments

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Coerência Wavelets em Variável Temperatura do Ar em Área do Bioma Pantaneiro e Área de Alta Densidade Construtiva

Cited by 2 publications

References 10 publications

Avaliação Da Temperatura Da Superfície No Pantanal Mato-Grossense Por Sensoriamento Remoto

Avaliação Da Temperatura Da Superfície No Pantanal Mato-Grossense Por Sensoriamento Remoto

Multiscale Environmental Monitoring in Urban Topoclimate

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