Viennois G. auteur aut IRD Proisy Christophe auteur aut IRD Rahmania R. auteur aut IRD Andayani A. auteur aut IRD Subki B. auteur aut IRD Suhardjono ... auteur aut IRD Feret J.B. auteur aut IRD Prosperi J. auteur aut IRD Sidik F. auteur aut IRD Widagti N. auteur aut IRD Germain O. auteur aut IRD Gaspar P. auteur aut IRD text bookSection eng text/pdf born digital access Sustainable management of mangroves depends on our ability to maintain ecosystem functions. It requires a careful monitoring of several forest characteristics such as the species composition. Very high resolution multispectral satellite images provide pivotal information at the individual tree scale that may support identification and mapping of species of mangrove trees emerging at the canopy level. In this study, we showed that fine scale spectral responses of four common Asian mangroves species were and remained distinct over one decade and, independently of both the satellite sensors and the angular configurations of image acquisitions. We began an important radiative transfer modeling work to interpretation such promising observations. specialized BALI 126 082 4 New York IEEE 2015 International Workshop on the Analysis of Multitemporal Remote Sensing Images, 8., Annecy (FRA), 2015/07/22-24 https://www.documentation.ird.fr/hor/fdi:010065674 10.1109/Multi-Temp.2015.7245803 978-1-4673-7119-3 [F B010065674] https://www.documentation.ird.fr/hor/fdi:010065674 https://www.documentation.ird.fr/intranet/publi/depot/2016-01-18/010065674.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2016-01-18 2016-02-18 fdi:010065674 fre