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

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

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...

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書目詳細資料
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
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