Fires Hotspot Forecasting in Indonesia Using Long Short-Term Memory Algorithm and MODIS Datasets
Vegetation fires are most common in South and Southeast Asian countries, including Indonesia. In addition to anthropogenic causes, climate change in the form of droughts is the biggest driver of fires in Indonesia. In particular, the peatlands in Indonesia are highly vulnerable to droughts with recu...
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| 主要な著者: | , , , , , , |
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| フォーマット: | 図書 |
| 出版事項: |
Springer International Publishing
2023
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| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/37580/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171518501&doi=10.1007%2f978-3-031-29916-2_35&partnerID=40&md5=23de4c2c760340a7871fa0bd35bb776d |
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