@article{fdi:010040701,
  title = {{P}redicting and mapping mangrove biomass from canopy grain analysis using {F}ourier-based textural ordination of {IKONOS} images},
  author = {{P}roisy, {C}hristophe and {C}outeron, {P}ierre and {F}romard, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}redicting structural organization and biomass of tropical forest from remote sensing observation constitutes a great challenge. {W}e assessed the potential of {F}ourier-based textural ordination ({FOTO}) to estimate mangrove forest biomass from very high resolution ({VHR}) {IKONOS} images. {T}he {FOTO} method computes texture indices of canopy grain by performing a standardized principal component analysis ({PCA}) on the {F}ourier spectra obtained for image windows of adequate size. {F}or two distinct study sites in {F}rench {G}uiana, {FOTO} indices derived from a {I} m panchromatic channel were able to consistently capture the whole gradient of canopy grain observed from the youngest to decaying stages of mangrove development, without requiring any intersite image correction. {I}n addition, a multiple linear regression based on the three main textural indices yielded accurate predictions of mangrove total aboveground biomass. {S}ince {FOTO} indices did not saturate for high biomass values, predictions were furthermore unbiased, even for levels above 450 t of dry matter per hectare. {M}aps of canopy texture (with {RGB} coding) and biomass were then produced over 8000 ha of unexplored, low accessibility mangrove. {A}pplying the {FOTO} method to the 4 m near-infrared channel yielded acceptable results with some limitations for characterization of juvenile mangrove types. {W}e finally discuss the influence of technical aspects pertaining to {VHR} images and to {FOTO} implementation (especially the size of the window used to compute {F}ourier spectra) and we evoke the interesting prospect of broad regional validity offered by the method to characterize high biomass tropical forest from standardized measures of canopy grain.},
  keywords = {canopy texture ; mangrove ; {IKONOS} ; very high resolution ; biomass ; tropical forest ; {F}rench {G}uiana ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {109},
  numero = {3},
  pages = {379--392},
  ISSN = {0034-4257},
  year = {2007},
  DOI = {10.1016/j.rse.2007.01.009},
  URL = {https://www.documentation.ird.fr/hor/fdi:010040701},
}