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

8 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. 10.1007/s00704-018-2628-9
2. Detection and Validation of Tropical Peatland Flaming and Smouldering Using Landsat-8 SWIR and TIRS Bands P. Sofan et al. 10.3390/rs11040465
3. A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data Z. Xie et al. 10.3390/rs10121992
4. Evaluation of Wildland Fire Detection Methods Using Expert Input J. Björck & M. McNamee 10.1007/s10694-024-01696-5
5. Advancements in remote sensing for active fire detection: A review of datasets and methods S. Yang et al. 10.1016/j.scitotenv.2024.173273
6. Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea E. Jang et al. 10.3390/rs11030271
7. Improving Fire Behaviour Data Obtained from Wildfires A. Filkov et al. 10.3390/f9020081
8. Estimating Fire Background Temperature at a Geostationary Scale—An Evaluation of Contextual Methods for AHI-8 B. Hally et al. 10.3390/rs10091368