Aprimoramento do balanço de radiação usando computação em nuvem e correção atmosférica, com imagens Landsat 8.

Abstract

Changes in land use and cover 3 LUCCs, have the potential to cause significant changes in the radiation and energy balances in the soil-plant-atmosphere system. Understanding the transformations and consequences of LUCCs in components of the radiation balance is essential to devise strategies that seek to mitigate the undesirable effects of the changes caused by these changes. The present study aims to estimate the surface radiation balance 3 Rn, evaluate the impacts of atmospheric correction on surface temperature 3 Tsup, longwave radiation emitted by the surface 3 Remi and instantaneous radiation balance 3 Rn, by different methods. For this, data developed on the Google Earth Engine (GEE) platform was used in the Caatinga area, located in the sub-middle region of the São Franscisco River, whose area is characterized by an intense expansion of irrigated agriculture. It was also analyzed to analyze the changes in the patterns of the Tsup, Remi and Rn radiation balance components with the LUCCs. For this purpose, images from the OLI (Operational Land Image) and TIRS (Thermal Infrared Sensor) sensors on board the Landsat 8 satellite were used for the period from January 2013 to December 2023. Meteorological data from ECMWF's ERA5-Land were introduced to spatially characterize the shortwave and longwave components incident on the study area. The results obtained show that the use of Tsup without atmospheric correction results in underestimates of this important component, by more than 5 °C, with significant impacts on Remi and Rn.