Proisy Christophe auteur aut IRD Couteron P. auteur aut IRD Pélissier Raphaël auteur aut IRD Barbier N. auteur aut IRD Engel J. auteur aut IRD text bookSection eng text/pdf born digital access Monitoring structural organization and biomass of tropical forest from remote sensing observations constitutes a great challenge. For this, texture analysis of very high spatial resolution (VHR) data can significantly contribute to understand the link between image aspect and forest structure. Within this context, our recent works argued that swapping the spatial domain for the frequency domain permits to consistently characterize vegetation and landscape spatial patterns through coarseness/fineness textural indices. In this paper, we synthesize the main results obtained on the characterization of canopy grain using Fourier-based textural ordination (FOTO) of very high resolution images acquired over terra firme rain forest and high biomass mangroves. In addition, we compare texture indices originating from aerial photographs and Ikonos images. Requirements for developing a standardized measurement of forest canopy grain with broad regional validity are finally discussed specialized FORET DENSE CANOPEE FORESTIERE MANGROVE METHODE D'ANALYSE TELEDETECTION SPATIALE IMAGE SATELLITE PHOTOGRAPHIE AERIENNE TEXTURE D'IMAGE RESOLUTION DYNAMIQUE DE VEGETATION STRUCTURE DU PEUPLEMENT ZONE TROPICALE GUYANE FRANCAISE 082VEGET02 126TELAPP08 4324-4326 Piscataway IEEE 2007 IGARSS 2007.International Geoscience and Remote Sensing Symposium, Barcelone (ESP), 2007/07/23-27 https://www.documentation.ird.fr/hor/fdi:010047646 10.1109/IGARSS.2007.4423808 978-1-4244-1211-2 ; 1-4244-1211-0 [F B010047646] https://www.documentation.ird.fr/hor/fdi:010047646 https://www.documentation.ird.fr/intranet/publi/depot/2009-12-03/010047646.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2009-11-30 2023-02-22 fdi:010047646 fre