A New Methodology for Estimating Surface Albedo in Heterogeneous Areas from Satellite Imagery

• Published in: Applied Sciences
• Main Authors: Paula Andres-Anaya, Maria Sanchez-Aparicio, Susana Del Pozo, Susana Lagüela, David Hernández-López, Diego Gonzalez-Aguilera
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2023
• Subjects: albedo; solar radiation; reflectance; satellites; remote sensing; Technology; T; Engineering (General). Civil engineering (General); TA1-2040; Biology (General); QH301-705.5; Physics; QC1-999; Chemistry; QD1-999; Arctic
• Online Access: https://doi.org/10.3390/app14010075; https://doaj.org/article/1b6f15a9040e4eff917cca19772d7d40

Precise mapping and continuous monitoring of fine-scale surface albedo are indispensable for assessing and optimizing renewable energy sources. Understanding the variations in surface reflectivity is crucial in capturing the full potential of renewable technologies, as it directly impacts the efficiency of harnessing solar energy for sustainable power generation. Satellite remote sensing stands out as the sole practical approach for estimating surface albedo at both regional and global scales. Although there are different methods to calculate albedo from satellite data, most satellite products result in low spatial resolution for large heterogeneous areas, such as urban and peri-urban areas. This paper evaluates and compares several methodologies to calculate surface albedo from Landsat 8 imagery. As a result, a new methodology for estimating surface albedo for heterogeneous areas has been proposed. The new methodology has been compared with direct and indirect albedo measurements, improving the original methodologies of Baldinelli and Silva with respect to the Arctic-Boreal Vulnerability Experiment (ABOVE) albedo images by reducing the RMSE by 85% and 52%, respectively.