Before the spring break of 2024, two students, Tan and Bank, have successfully delivered their final presentations.
During the morning of February 15, 2024, Chinchuthakun Worameth (nickname “Tan”) presented his Master’s work on “Deep-Learning-Based Historical Land Cover Classification Tool from Landsat Images”. The purpose of his work is to develop a toolbox that automatically generates land cover maps from any Landsat images all the way back into the 1980s. The task was challenging because of the differences in the spectral wavelengths of Landsat since the 1980s until the more recent Landsat8. He was able to overcome this by constructing a chain of deep-learning models linking the Landsats and the more recent 2021 ESA land cover dataset. With an emphasis on cities, he also constructed the models by using training samples (and its derivatives, such as NDVI) from various megacities spread across the globe. A link to the toolbox and details of the publication can be found here.
A few days after Tan’s presentation, Yoongsomporn Thanakrit (nickname “Bank”) presented his Independent Research Projected entitled, “Spatiotemporal analysis of human mobility over the Greater Tokyo Area from 2019 to 2021”, on the afternoon of Feb. 19, 2024. Bank’s work was more inclined towards urban (or urban planning) studies. In his work, he utilized a 3-year long-term data of mobile statistics (i.e. DOCOMO mobile statistics data). Paired with the K-means clustering algorithm, he was able to classify locations and boundaries over Kanto that vary in levels of outflow/inflow during the daytime. With his approach, it becomes possible to construct a baseline of locations in terms of its human mobility. From these baselines, further assessments such as environmental/distaster risks estimation, identification of factors that may affect human mobility, and even diurnal anthropogenic heat estimations become possible. Bank has recently submitted his work for a confernce organized by the Japan Society of Civil Engineers to be held on May 25-26, 2024.
Both Tan and Bank were undergradute students of Tokyo Institute of Technology under the Global Scientists and Engineers Program (GSEP) of Tokyo Institute of Technology. After graduation, Tan wishes to return to his hometown, Thailand, to join a research university. He will maintain good relations and possibly create collaborations between our lab and his next employer. Meanwhile, Bank will proceed as a Master’s student in our laboratory.
Keep up the good work!
English 
日本語