Estimated net radiation in an Amazon–Cerrado transition forest by Landsat 5 TM

Marques, Heloisa Oliveira; Biudes, Marcelo Sacardi; Pavão, Vagner Marques; Machado, Nadja Gomes; Querino, Carlos Alexandre Santos; Danelichen, Victor Hugo de Morais

doi:10.1117/1.jrs.11.046020

Cited by 10 publications

(11 citation statements)

References 33 publications

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“…In general, RMSE of Rn is typically found to be between 20 and 80 W m −2 with different orbital sensors (TM Landsat 5, TM+ Landsat 7, and MODIS) [59,[74][75][76][77][78][79][80]. The RMSE obtained in this study were close to those reported by [59] over the Cerrado zone and by [10] on the Cerrado-Pantanal transitional zone in Brazil, which highlight the relatively acceptable accuracy of estimated Rn obtained based on all combinations.…”

Section: The Effects Of α and T S Retreival Models On Sebfs And Etsupporting

confidence: 76%

Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil

Angelini

Biudes

Machado

et al. 2021

Sensors

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The determination of the surface energy balance fluxes (SEBFs) and evapotranspiration (ET) is fundamental in environmental studies involving the effects of land use change on the water requirement of crops. SEBFs and ET have been estimated by remote sensing techniques, but with the operation of new sensors, some variables need to be parameterized to improve their accuracy. Thus, the objective of this study is to evaluate the performance of algorithms used to calculate surface albedo and surface temperature on the estimation of SEBFs and ET in the Cerrado-Pantanal transition region of Mato Grosso, Brazil. Surface reflectance images of the Operational Land Imager (OLI) and brightness temperature (Tb) of the Thermal Infrared Sensor (TIRS) of the Landsat 8, and surface reflectance images of the MODIS MOD09A1 product from 2013 to 2016 were combined to estimate SEBF and ET by the surface energy balance algorithm for land (SEBAL), which were validated with measurements from two flux towers. The surface temperature (Ts) was recovered by different models from the Tb and by parameters calculated in the atmospheric correction parameter calculator (ATMCORR). A model of surface albedo (asup) with surface reflectance OLI Landsat 8 developed in this study performed better than the conventional model (acon) SEBFs and ET in the Cerrado-Pantanal transition region estimated with asup combined with Ts and Tb performed better than estimates with acon. Among all the evaluated combinations, SEBAL performed better when combining asup with the model developed in this study and the surface temperature recovered by the Barsi model (Tsbarsi). This demonstrates the importance of an asup model based on surface reflectance and atmospheric surface temperature correction in estimating SEBFs and ET by SEBAL.

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Section: The Effects Of α and T S Retreival Models On Sebfs And Etsupporting

confidence: 76%

Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil

Angelini

Biudes

Machado

et al. 2021

Sensors

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“…With the increase of LAI in the rainy season, the lowest transmittancy value occurred in December 2014, 7%, contrasting with the 13% occurred in May 2015. The transmittance being the fraction of the incident light at a specific wavelength, which Passing through a sample, it is possible to occur a lower transmittance index in the period in which LAI occurs (Marques et al, 2017), since there is an increase in the plant leaf biomass volume, such as (Sallo et al, 2014), the greater the sample of the matter by which the light incidence will pass through.…”

Section: Resultsmentioning

confidence: 99%

Variation of Leaf Area Index by Remote Sensing and Surface Measurements for a Tropical Savanna

2019

Aust. J. Basic & Appl. Sci

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Studies of vegetation in parks within the urban perimeter are scarce, since the study of green area dynamics within a city requires high cost and mobility of collection. In this context, remote sensing appears as an ideal tool for the study of vegetation in contrast to anthropic areas. The ceptometer sensor are the most used in leaf area index in spatial analysis, so measurements with this type of sensor can be used to validate remote sensing products for this variable. Thus, the objective of this study was to measure leaf area index (LAI) obtained by orbital sensor in contrast to measurements in loco. Landsat 8 satellite reflectance measurements were used for validation with locally measured data at 30 sample points. The photosynthetically active radiation incident off and below the canopy, as well as the transmittance of the canopy, were measured at the site. The research was carried out in the tropical savanna fragment located in the Mãe Bonifácia park, in the Cuiabá city, Brazil, from October 2014 to

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“…A identificação dessa modificação e de seus impactos pode ser realizada via sensoriamento remoto, que através da sua capacidade de identificar e avaliar mudanças na estrutura, fisionomia e dinâmica da cobertura vegetal, além de seu caráter multiespectral, possibilita a análise de componentes agrometeorológicos como o albedo, saldo de radiação, índices de vegetação e evapotranspiração (MARQUES et al, 2017;ANDRADE et al, 2018).…”

Section: Introductionunclassified

Balanço De Radiação Em Áreas De Expansão Agrícola No Sudoeste Do Piauí

Fernandes

Lopes

Melo

et al. 2021

RGNE

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Áreas agrícolas vêm se intensificando no Estado do Piauí, esse desenvolvimento resulta em danos à vegetação nativa, causando impactos ambientais. Estudos que avaliem esses impactos, são de extrema relevância para quantificar as modificações causadas na superfície. Assim, objetivou-se identificar mudanças da cobertura do solo e avaliar seus impactos no balanço de radiação, índices de vegetação e temperatura da superfície em área de expansão agrícola no sudoeste do Piauí. A área avaliada está inserida no município de Baixa Grande do Ribeiro, utilizou-se imagens dos satélites Landsat 5 TM e Landsat 8, obtidas entre os anos de 1990 e 2018. Avaliou-se o Índice de Vegetação da Diferença Normalizada (NDVI), Índice de Vegetação Ajustado ao Solo (SAVI), Albedo (α), Saldo de Radiação, Radiação de Ondas Longas (ROLs) e Temperatura da Superfície (Ts). Identificou-se a redução de 32,25% vegetação nativa e crescimento de 1.219,1% da exploração agropecuária. A vegetação natural do Cerrado apresentou menor temperatura, albedo e ROLs e maior saldo de radiação, quando comparada às áreas de solo exposto. A exploração agrícola no Sudoeste do Piauí, vem promovendo modificações na vegetação natural da região, causando impactos ambientais, promovendo o aumento da temperatura da superfície e diminuindo a disponibilidade de energia. Faz-se necessário a realização de mais trabalhos que forneçam mais informações sobre essas modificações e ainda da atuação de políticas públicas para fins de planejamento agrícola e ambiental.

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Estimated net radiation in an Amazon–Cerrado transition forest by Landsat 5 TM

Cited by 10 publications

References 33 publications

Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil

Surface Albedo and Temperature Models for Surface Energy Balance Fluxes and Evapotranspiration Using SEBAL and Landsat 8 over Cerrado-Pantanal, Brazil

Variation of Leaf Area Index by Remote Sensing and Surface Measurements for a Tropical Savanna

Balanço De Radiação Em Áreas De Expansão Agrícola No Sudoeste Do Piauí

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