@incollection{fdi:010047646, title = {{M}onitoring canopy grain of tropical forest using {F}ourier-based textural ordination ({FOTO}) of very high resolution images}, author = {{P}roisy, {C}hristophe and {C}outeron, {P}. and {P}{\'e}lissier, {R}apha{\¨e}l and {B}arbier, {N}. and {E}ngel, {J}.}, editor = {}, language = {{ENG}}, abstract = {{M}onitoring structural organization and biomass of tropical forest from remote sensing observations constitutes a great challenge. {F}or this, texture analysis of very high spatial resolution ({VHR}) data can significantly contribute to understand the link between image aspect and forest structure. {W}ithin 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. {I}n this paper, we synthesize the main results obtained on the characterization of canopy grain using {F}ourier-based textural ordination ({FOTO}) of very high resolution images acquired over terra firme rain forest and high biomass mangroves. {I}n addition, we compare texture indices originating from aerial photographs and {I}konos images. {R}equirements for developing a standardized measurement of forest canopy grain with broad regional validity are finally discussed}, keywords = {{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} ; {PLOMB} {MONTAGNE} ; {PARACOU} ; {SINNAMARY} ; {KAW}}, booktitle = {{P}roceedings of the international geoscience and remote sensing symposium}, numero = {}, pages = {4324--4326}, address = {{P}iscataway}, publisher = {{IEEE}}, series = {}, year = {2007}, DOI = {10.1109/{IGARSS}.2007.4423808}, ISBN = {978-1-4244-1211-2 ; 1-4244-1211-0}, URL = {https://www.documentation.ird.fr/hor/fdi:010047646}, }