Forkel, M., Wessollek, C., Huijnen, V., Andela, N., de Laat, A., Kinalczyk, D., Marrs, C., van Wees, D., Bastos, A., Ciais, P., Fawcett, D., Kaiser, J. W., Klauberg, C., Kutchartt, E., Leite, R., Li, W., Silva, C., Sitch, S., Goncalves De Souza, J., Zaehle, S., and Plummer, S. (2025)Burning of woody debris dominates fire emissions in the Amazon and CerradoNature Geoscience, 1–8, https://doi.org/10.1038/s41561-024-01637-5.
This paper compares the three Sense4Fire approaches (TUD-S4F, GFA-S4F and KNMI-S5p) with other fire emission datasets and focus specifically on the role of fuels for fire emissions. A full description of the TUD-S4F approach is given in the Methods and Supplementary Information.
de Laat, A., Huijnen, V., Andela, N., and Forkel, M.(2024)Assessment of satellite observation-based wildfire emissions inventories using TROPOMI data and IFS-COMPO model simulationsEGUsphere, 1–81, https://doi.org/10.5194/egusphere-2024-732.
This preprint presents the first evaluation of fire emission estimates using the KNMI-S5p approach.
Andela, N., Morton, D. C., Schroeder, W., Chen, Y., Brando, P. M., and Randerson, J. T. (2022)Tracking and classifying Amazon fire events in near real timeScience Advances, 8, eabd2713, https://doi.org/doi:10.1126/sciadv.abd2713.
This publication describes the first version of the GFA-S4F approach.
