Dataset
Bueno, I.T.; Silva, C.A.; Hamamura, C.; Schlickmann, M.B.; Donovan, V.M.;
Atkins, J.W.; Brock, K.; Xia, J.; Valle, D.R.; Qiu, J.; Vogel, J.;
Susaeta, A.; Sharma, A.; Karasinski, M.; Klauberg, C.
RapidFEM4D: aboveground biomass density maps for post-Hurricane Ian forest monitoring in Florida. Ag
Data Commons. Dataset.
https://doi.org/10.15482/USDA.ADC/28304213.v1
Data paper
Bueno, I.T.; Silva, C.A.; Hamamura, C.; Schlickmann, M.B.; Donovan, V.M.;
Atkins, J.W.; Brock, K.; Xia, J.; Valle, D.R.; Qiu, J.; Vogel, J.;
Susaeta, A.; Sharma, A.; Karasinski, M.; Klauberg, C.
RapidFEM4D: aboveground biomass density maps for post-Hurricane Ian forest monitoring in Florida. [In
preparation]
Methodology
Bueno, I.T.; Silva, C.A.; Schlickmann, M.B.; Donovan, V.M.; Atkins, J.W.;
Brock, K.; Xia, J.; Valle, D.R.; Qiu, J.; Vogel, J.; Susaeta, A.;
Sharma, A.; Klauberg, C.; Mohan, M.; Dalla Corte, A.P.
Upscaling frameworks drive prediction accuracy and uncertainty when mapping aboveground biomass density from the synergism of spaceborne LiDAR, SAR, and passive optical data . [In
preparation]