ASSESSMENT OF THE UTILITY OF THE ADVANCED HIMAWARI IMAGER TO DETECT ACTIVE FIRE OVER AUSTRALIA

7 citations as recorded by crossref.

1. A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using LogitBoost machine learning classifier and multi-source geospatial data M. Tehrany et al.
2. A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data Z. Xie et al.
3. Evaluation of Wildland Fire Detection Methods Using Expert Input J. Björck & M. McNamee
4. Advancements in remote sensing for active fire detection: A review of datasets and methods S. Yang et al.
5. Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea E. Jang et al.
6. Improving Fire Behaviour Data Obtained from Wildfires A. Filkov et al.
7. Estimating Fire Background Temperature at a Geostationary Scale—An Evaluation of Contextual Methods for AHI-8 B. Hally et al.