Filling gaps of black-sky surface albedo of the Arctic sea ice using gradient boosting and brightness temperature data

• Published in: International Journal of Applied Earth Observation and Geoinformation
• Main Authors: Emmihenna Jääskeläinen, Terhikki Manninen, Janne Hakkarainen, Johanna Tamminen
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2022
• Subjects: Surface albedo; Machine learning; Gradient boosting; Gap filling; geo; envir; Arctic; The Gib; albedo; Sea ice
• Online Access: https://doi.org/10.1016/j.jag.2022.102701; https://doaj.org/article/4b0682e951f348cba29589c1fb2573e7

Surface albedo is a necessary parameter for climate studies and modeling. There is a need for a full spatial coverage of albedo data, but clouds and high solar zenith angle cause missing values to the optical satellite products, especially around the polar areas. Therefore, our motivation is to deve...