Abstract
ABSTRACT The surface albedo plays an important role in the exchanges of energy and mass in the planetary boundary layer. Therefore, changes in albedo affect the balance of radiation and energy at the surface, which can be detected with its monitoring. Albedo determination has been performed through various sensors, but there is not yet any publication dealing with albedo calculation procedures using OLI (Operational Land Imager) - Landsat 8 images. The objective of the study is to present the procedures for computing the albedo with OLI images and map it in irrigated areas of the São Gonçalo Irrigated District, PB, Brazil. Images of the year 2013, path 215 and row 65, were selected. The data necessary for calculating the albedo were extracted from each image metadata: additive and multiplicative terms of radiance and reflectance, and sun elevation angle. There were large differences between the albedo values of irrigated plots, water bodies and native vegetation. The albedo obtained with OLI images provides a higher degree of differentiation of the various types of land use, due to the substantial increase in the radiometric resolution of this new sensor.
Highlights
Net radiation plays a fundamental role in biophysical processes involving exchanges of energy and mass in the planetary boundary layer, since it constitutes the main energy source used in the heating of soil and air, and in plant evapotranspiration (Silva et al, 2005a; Wang & Davison, 2007; Giongo et al, 2010; Lopes et al, 2013; Souza et al, 2014)
Souza et al (2014) applied the parametrization proposed by Tasumi et al (2008) with high and low loadings of aerosols in different regions of Brazil and data of the MODIS sensor
The model proposed by Zhong & Li (1988) employed by Bastiaanssen et al (1998) in the SEBAL (Surface Energy Balance Algorithm for Land) and initially applied to TM - Landsat 5 images, combines simplicity and precision
Summary
Net radiation plays a fundamental role in biophysical processes involving exchanges of energy and mass in the planetary boundary layer, since it constitutes the main energy source used in the heating of soil and air, and in plant evapotranspiration (Silva et al, 2005a; Wang & Davison, 2007; Giongo et al, 2010; Lopes et al, 2013; Souza et al, 2014). The model proposed by Zhong & Li (1988) employed by Bastiaanssen et al (1998) in the SEBAL (Surface Energy Balance Algorithm for Land) and initially applied to TM - Landsat 5 images, combines simplicity and precision This model has been widely used in many studies on the balance of radiation (Silva et al, 2005b; 2011; Lopes et al, 2013; Gusmão et al, 2012), energy (Silva & Bezerra, 2006; Allen et al, 2007; Arraes et al, 2012; Bezerra et al, 2014; Machado et al, 2014; Mattar et al, 2014) and in researches analyzing alterations in land use and occupation (Rodrigues et al, 2009; Giongo et al, 2010; Oliveira et al, 2012)
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