2024

Annual Past-Present Land Cover Classification from Landsat using Deep Learning for Urban Agglomerations

Annual Past-Present Land Cover Classification from Landsat using Deep Learning for Urban Agglomerations Worameth Chinchuthakun, David Winderl, Alvin C.G. Varquez, Yukihiko Yamashita, Manabu Kanda   Overview UrbanLC is a Python library for land cover classification (LCC) from Landsat Images. It features pretrained deep learning models, which are compatible with all Landsat sensors up-to-date: MSS, TM, […]

A github repository for the tools introduced in this site and the tools used to construct the datasets can be found below: https://github.com/TokyoTechGUC The above repository is continually being improved and advanced by the members of the lab.