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 Cerrado
This paper compares the three Sense4Fire approaches (TUD-S4F, GFA-S4F and KNMI-S5p) with other fire emission datasets and focusses 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. T. J., Andela, N., Forkel, M., Huijnen, V., Kinalzcyzk, D., and van Wees, D. (2025).
Sentinel-5p reveals unexplained large wildfire carbon emissions in the Amazon in 2024
ESS Open Archive, https://doi.org/10.22541/essoar.173869416.69575859/v1.
This publication presents the application of the Sense4Fire approaches in near-real time for the extreme fire season in the Amazon region in 2024.
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 simulations
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 time
This publication describes the first version of the GFA-S4F approach.