This paper presents a new algorithm for forest biomass estimation from P-band synthetic-aperture radar (SAR) backscatter data, notch-filtered at ground-level. A semi-empirical model is fitted to spatial and polarization trends in the backscatter data and no reference biomass data are needed for training. An evaluation on airborne P-band SAR data from a tropical test site in Gabon results in a root-mean-square error lower than 20% and a correlation better than 90%
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass is an important parameter for describing the function and productivity of...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
Currently, one of the most uncertain factors in the global carbon cycle models lies in the terrestri...
Using data from the recent BioSAR 2007 and BioSAR 2010 campaigns, it has for the first time been pos...
Methods to estimate forest biomass change have been investigated using experimental P-band synthetic...
Methods to estimate forest biomass change have been investigated using experimental P-band synthetic...
Using data from the recent BioSAR 2007 and BioSAR 2010 campaigns, it has for the first time been pos...
Using data from the recent BioSAR 2007 and BioSAR 2010 campaigns, it has for the first time been pos...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass is an important parameter for describing the function and productivity of...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and Inhibited Nonlinea...
Currently, one of the most uncertain factors in the global carbon cycle models lies in the terrestri...
Using data from the recent BioSAR 2007 and BioSAR 2010 campaigns, it has for the first time been pos...
Methods to estimate forest biomass change have been investigated using experimental P-band synthetic...
Methods to estimate forest biomass change have been investigated using experimental P-band synthetic...
Using data from the recent BioSAR 2007 and BioSAR 2010 campaigns, it has for the first time been pos...
Using data from the recent BioSAR 2007 and BioSAR 2010 campaigns, it has for the first time been pos...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass ii nn important parameter for describing the function and productivity of...
Above-ground woody biomass is an important parameter for describing the function and productivity of...