The Amazon forest represents one of the world’s largest terrestrial carbon reservoirs. Here, we evaluated role soil texture, climate, vegetation, and distance to savanna on distribution stocks pyrogenic (PyC) in intact forests with no history recent fire spanning southern Amazonia forest-Cerrado Zone Transition (ZOT). In 19 hectare plots, including three Amazonian Dark Earth (ADE, terra preta) ...

A general allometric model has been derived to predict intraspecific and interspecific scaling relationships among seed plant leaf, stem, and root biomass. Analysis of a large compendium of standing organ biomass sampled across a broad sampling of taxa inhabiting diverse ecological habitats supports the relations predicted by the model and defines the boundary conditions for above- and below-gr...

Above-ground biomass and carbon stock are fundamental components of the global cycle, essential for climate change mitigation. Remote sensing data can provide timely accurate estimates various forest attributes, especially over large remote forested areas. The objective this research was to investigate potential multispectral LiDAR estimating stem (SB) total (TB) in a multi-layered fir using an...

SAR data have a longer wavelength and stronger penetrating power compared with traditional optical remote sensing. Therefore, are more suitable for the estimation of above-ground biomass (AGB) forests. This study was aimed at evaluating sensitivity L-band full polarization to AGB. were improved estimate saturation point produced by AGB, found be estimating wide range extracted backscattering co...

There is growing interest in using passive microwave observations and Vegetation Optical Depth (VOD) to study the above ground biomass (AGB) carbon stocks evolution. L-band particular have been shown be very sensitive AGB. Here, thanks multi-angle capabilities of SMOS mission, a new approach estimate AGB directly from multi-angular brightness temperatures (TBs) proposed, thus surpassing use int...