Couteron Pierre auteur aut IRD Barbier Nicolas auteur aut IRD Proisy Christophe auteur aut IRD Pélissier Raphaël auteur aut IRD Vincent Grégoire auteur aut IRD text journalArticle eng text/pdf reformatted digital access Using remote sensing to provide reliable information over extensive areas of dense and heterogeneous tropical forests is a challenging task. Not only is the task challenging, but it also has become closely related to global concerns about reducing greenhouse gas emissions from deforestation and forest degradation, also known as the REDD process. The AMAP laboratory in Montpellier, France, is contributing to this challenge at the interface between signal processing and plant and vegetation modelling which is its central domain of expertise. Models of forest structure are an important tool to fill the scale gap between field observations and remotely sensed information. They help also to understand the complex interactions between signal and forest vegetation. As remotely-sensed data are diversifying, coupling forest structure and radiative transfer models helps to translate signal information into biophysical parameters. Refining such an approach is needed to design replicable methods that address the most challenging aspect of monitoring spatiotemporal variations of stand structure in forest types retaining high aboveground biomass specialized FORET DENSE ARCHITECTURE DE LA VEGETATION STRUCTURE DE POPULATION TELEDETECTION SPATIALE IMAGE SATELLITE ALTIMETRIE CANOPEE FORESTIERE BIOMASSE PHENOLOGIE MODELISATION ZONE TROPICALE GUYANE FRANCAISE 126TELAPP08 082VEGET02 10 2012 https://www.documentation.ird.fr/hor/fdi:010055313 [F B010055313] https://www.documentation.ird.fr/hor/fdi:010055313 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers17-10/010055313.pdf IRD - Base Horizon / Pleins textes 2012-05-21 2023-02-22 fdi:010055313 fre