A simplified 3D radiative transfer approach for the retrieval of chemical and structural properties of individual tree crowns from hyperspectral data

FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOIn this work, we used hyperspectral remote sensing and a simplified three-dimensional radiative transfer approach to rtrieve structural and chemical properties of individual tree crowns (ITCs) from a tropical forest area. First, a Look-Up-Table of simulat39553958FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOCNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO2013/11.589-52016/24977-1303563/2008-7301190/2013-538th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)This work was supported by the São Paulo Research Foundation (FAPESP) (grants no. 2013/11.589-5 and nº 2016/24977-1). CRSF and YES thank CNPq grants nº. 303563/2008-7 and 301190/2013-5, respectively. JBF and EG were funded by the HyperTropik project (TOS

A simplified 3D radiative transfer approach for the retrieval of chemical and structural properties of individual tree crowns from hyperspectral data

International audienceIn this work, we used hyperspectral remote sensing and a simplified three-dimensional radiative transfer approach to retrieve structural and chemical properties of individual tree crowns (ITCs) from a tropical forest area. First, a Look-Up-Table of simulated ITC reflectance was built by randomly varying parameters of the DART and PROSPECT models. Then, simulated and experimental reflectance of ITCs were compared in terms of spectral similarity. Finally, model parameters that yielded simulations spectrally similar to experimental data were related to sub-pixel fractions and narrow-band vegetation indices computed from the hyperspectral images. DART canopy structural parameters were related to the proportion of non-photosynthetic vegetation, green photosynthetic vegetation (GV) and shade estimated within ITCs. PROSPECT parameters describing foliar chemical traits such as Chlorophyll (Cab) and Carotenoids (C xc ) were related to the ratio of TCARI/OSAVI indices and to the simple ratio between reflectance at 515 nm and 570 nm