Modelling Gross Primary Production of Tropical Forest by Remote Sensing

Velasque, Maísa Caldas Souza; Biudes, Marcelo Sacardi; Machado, Nadja Gomes; Danelichen, Victor Hugo de Morais; Vourlitis, George L.; Nogueira, José de Souza

doi:10.5380/abclima.v22i0.50460

Cited by 5 publications

(4 citation statements)

References 38 publications

(74 reference statements)

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“…O sensoriamento remoto, nos últimos anos, vem adquirindo grande aceitação no meio acadêmico devido o acesso a hardwares, softwares e produtos gratuitos como dados interferométricos, imagens de satélites, entre outros, e até mesmo auxiliando em análises e aplicações, como por exemplo as pesquisas geográficas (Coelho e Correa, 2013). Trata-se de uma ferramenta para o mapeamento de áreas, identificação de queimadas, desmatamento, estudos climáticos, entre outros (Silva Junior et al, 2018;Velasque et al, 2018). Esta técnica geotecnológica faz uso de imagens obtidas por sensores orbitais, que abrange o espectro visível e invisível ao olho humano.…”

Section: Revista Brasileira De Geografia Físicaunclassified

CO2flux e temperatura da superfície edáfica em áreas de caatinga

Gomes

Santos

Silva

et al. 2021

Rev. Bras. Geog. Fis.

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The changes that occur in the Caatinga vegetation cover alter the incidence of solar radiation at the surface-atmosphere interface. To monitor CO2 flows, through geotechnologies, they appear as an alternative or remote sensing. Thus, the objective of this work was to determine the carbon sequestration and the surface temperature in caatinga areas in the face of seasonal variations using data from the Landsat 8 satellite OLI and TIRS sensors. The study was carried out with a scene referring to the dry season and another referring to the rainy season, in two areas, one with preserved Caatinga vegetation and the other with agricultural intervention, both in the municipality of São José de Piranhas, Paraíba. The pre-processing of the images took place from the transformation of digital numbers for spectral radiance and then for reflectance, since the processing occurred from the application of the vegetation and temperature indices, resulting in CO2flux and surface temperature. The Caatinga was greatly influenced by rainfall, directly affecting the phenology of this vegetation. The variation in temperature and CO2flux were influenced by seasonality, in the dry season there was less sequestration and higher temperatures, while in the rainy season there was greater sequestration and lower temperatures. The multiple comparison test showed that all the variables studied showed statistical differences. Temperature and CO2flux are influenced by seasonality. Multispectral remote sensing is a tool that can assist in the study of temperature dynamics and carbon sequestration in the Caatinga biome.

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Section: Revista Brasileira De Geografia Físicaunclassified

CO2flux e temperatura da superfície edáfica em áreas de caatinga

Gomes

Santos

Silva

et al. 2021

Rev. Bras. Geog. Fis.

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“…The results obtained through remote sensing allow the visualization of large territorial extensions, besides allowing the performance of seasonal and space-time analyses, both in the matter of land use and its occupation (Simões et al 2017). Given this, this method presents itself as an innovative method for mapping areas, deforestation, fire detection, climate studies, and it has a lower cost than the installation, maintenance and retrieval of data from a meteorological station (Souza et al 2014;Silva Junior et al 2018;Velasque et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Meteorological Influence on Space-time Distribution of Tomé-Açu (Eastern Amazon) Vegetation Cover using MODIS Products

Rua,

Fernandes,

Dos Santos

et al. 2023

Anu. Inst. Geociênc.

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The objective of this study was to analyze the seasonal behavior of vegetation cover and its response to the variation of meteorological elements in the microregion of Tomé-Açu, Eastern Amazon. The study area refers to the microregion of Tomé-Açu, Pará. MODIS sensor images were processed and analyzed on Google Earth Engine and QGIS 3.18.1 software to apply the NDVI, EVI and LAI vegetation indices. Results showed that the vegetation cover of the Microregion of Tomé-Açu has well-defined seasonality, with evident variation in vegetation indices throughout the year. The three indexes showed higher values in the dry season period and lower values in the rainy period of the year. Seasonality of vegetation cover showed a positive correlation with rainfall in the region, with higher values associated with rainfall occurring between 4 and 5 months prior to the observation.

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“…Como instrumento indispensável a esses estudos, o Sensoriamento Remoto surge como uma ferramenta ideal para o mapeamento de áreas, identificação de queimadas, desmatamento, estudos climáticos, ademais, apresenta custo muito menor que a instalação, manutenção e obtenção de dados de uma estação meteorológica (Souza et al, 2014, Silva Junior et al, 2018, Velasque 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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Modelling Gross Primary Production of Tropical Forest by Remote Sensing

Cited by 5 publications

References 38 publications

CO2flux e temperatura da superfície edáfica em áreas de caatinga

CO2flux e temperatura da superfície edáfica em áreas de caatinga

Meteorological Influence on Space-time Distribution of Tomé-Açu (Eastern Amazon) Vegetation Cover using MODIS Products

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

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