Monthly Burned-Area Mapping using Multi-Sensor Integration of Sentinel-1 and Sentinel-2 and machine learning: Case Study of 2019's fire events in South Sumatra Province, Indonesia

• Main Authors: Arjasakusuma, Sanjiwana, Kusuma, Sandiaga Swahyu, Vetrita, Yenni, Prasasti, Indah, Arief, Rahmat
• 格式: Article PeerReviewed
• 語言: English
• 出版: Elsevier B.V. 2022
• 主題: Geography and Environmental Sciences
• 在線閱讀: https://repository.ugm.ac.id/281883/1/1-s2.0-S2352938522000982-main.pdf; https://repository.ugm.ac.id/281883/; https://www.sciencedirect.com/science/article/pii/S2352938522000982?via%3Dihub
• 機構: Universitas Gadjah Mada

Indonesia has experienced massive historical land and forest fire events, creating transnational environmental and socioeconomic issues. The extent of burned areas (BAs) is one of many indicators that reflect the magnitudes and impacts from fire events, and such information is also used for planning...