10 citations as recorded by crossref.

1. Machine learning in landscape ecological analysis: a review of recent approaches M. Stupariu et al. 10.1007/s10980-021-01366-9
2. Forest fire susceptibility mapping based on precipitation-constrained cumulative dryness status information in Southeast China: A novel machine learning modeling approach L. Zhao et al. 10.1016/j.foreco.2024.121771
3. Wildfire Impacts on Groundwater Aquifers: A Case Study of the 1996 Honey Boy Fire in Beaver County, Utah, USA B. Johnk & D. Mays 10.3390/w13162279
4. Antecedent Hydrometeorological Conditions of Wildfire Occurrence in the Western U.S. in a Changing Climate X. Chen et al. 10.1029/2023JD039136
5. Predicting wildfire burns from big geodata using deep learning J. Bergado et al. 10.1016/j.ssci.2021.105276
6. AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics F. Li et al. 10.5194/gmd-16-869-2023
7. Forecasting fire risk with machine learning and dynamic information derived from satellite vegetation index time-series Y. Michael et al. 10.1016/j.scitotenv.2020.142844
8. The Proximal Drivers of Large Fires: A Pyrogeographic Study H. Clarke et al. 10.3389/feart.2020.00090
9. Seasonally-decomposed Sentinel-1 backscatter time-series are useful indicators of peatland wildfire vulnerability K. Millard et al. 10.1016/j.rse.2022.113329
10. Chimera: A Multi-Task Recurrent Convolutional Neural Network for Forest Classification and Structural Estimation T. Chang et al. 10.3390/rs11070768