Identifying Key Drivers of Peatland Fires Across Kalimantan's Ex‐Mega Rice Project Using Machine Learning

Identifying Key Drivers of Peatland Fires Across Kalimantan's Ex‐Mega Rice Project Using Machine Learning

Abstract Throughout Indonesia ecological degradation, agricultural expansion, and the digging of drainage canals has compromised the integrity and functioning of peatland forests. Fragmented landscapes of scrubland, cultivation, degraded forest, and newly established plantations are then susceptible...

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Bibliographic Details
Main Authors: Alexander J. Horton, Vili Virkki, Anu Lounela, Jukka Miettinen, Sara Alibakhshi, Matti Kummu
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-12-01
Series:Earth and Space Science
Subjects:
Peatland forest fires
random forest XGBoost
anthropogenic impact
land cover
land use change
Online Access:https://doi.org/10.1029/2021EA001873

Internet

https://doi.org/10.1029/2021EA001873

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