A study on Singapore’s vegetation cover and land use change using remote sensing

• Main Authors: Goh, Yun Si, Leong, Jing Wen, Yean, Seanglidet, Lee, Bu-Sung, Ngo, Kang Min, Edwards, Peter
• Other Authors: College of Computing and Data Science
• Format: Conference or Workshop Item
• Language: English
• Published: 2024
• Subjects: Computer and Information Science; Remote sensing; Land use classification
• Online Access: https://hdl.handle.net/10356/177243
• Institution: Nanyang Technological University

While the benefits of trees are well-known, there are few studies on the vegetation cover in Singapore as traditional data acquisition is inefficient. In this study, we put together an efficient land use classification pipeline for the highly urbanized country using Sentinel-2 (S2) images. We...