@article{fdi:010075283,
  title = {{M}apping the mangrove forest canopy using spectral unmixing of very high spatial resolution satellite images},
  author = {{T}aureau, {F}. and {R}obin, {M}. and {P}roisy, {C}hristophe and {F}romard, {F}. and {I}mbert, {D}. and {D}ebaine, {F}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}espite the low tree diversity and scarcity of the understory vegetation, the high morphological plasticity of mangrove trees induces, at the stand level, a very large variability of forest structures that need to be mapped for assessing the functioning of such complex ecosystems. {F}ully constrained linear spectral unmixing ({FCLSU}) of very high spatial resolution ({VHSR}) multispectral images was tested to fine-scale map mangrove zonations in terms of horizontal variation of forest structure. {T}he study was carried out on three {P}leiades-1{A} satellite images covering {F}rench island territories located in the {A}tlantic, {I}ndian, and {P}acific {O}ceans, namely {G}uadeloupe, {M}ayotte, and {N}ew {C}aledonia archipelagos. {I}n each image, {FCLSU} was trained from the delineation of areas exclusively related to four components including either pure vegetation, soil (ferns included), water, or shadows. {I}t was then applied to the whole mangrove cover imaged for each island and yielded the respective contributions of those four components for each image pixel. {O}n the forest stand scale, the results interestingly indicated a close correlation between {FCLSU}-derived vegetation fractions and canopy closure estimated from hemispherical photographs ({R}-2 = 0.95) and a weak relation with the {N}ormalized {D}ifference {V}egetation {I}ndex ({R}-2 = 0.29). {C}lassification of these fractions also offered the opportunity to detect and map horizontal patterns of mangrove structure in a given site. {K}-means classifications of fraction indeed showed a global view of mangrove structure organization in the three sites, complementary to the outputs obtained from spectral data analysis. {O}ur findings suggest that the pixel intensity decomposition applied to {VHSR} multispectral satellite images can be a simple but valuable approach for (i) mangrove canopy monitoring and (ii) mangrove forest structure analysis in the perspective of assessing mangrove dynamics and productivity. {A}s with {L}idar-based surveys, these potential new mapping capabilities deserve further physically based interpretation of sunlight scattering mechanisms within forest canopy.},
  keywords = {mangrove ; {R}emote {S}ensing ; forest structure ; hemispherical photographs ; {G}uadeloupe ; {M}ayotte ; {N}ew {C}aledonia ; {GUADELOUPE} ; {MAYOTTE} ; {NOUVELLE} {CALEDONIE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {11},
  numero = {3},
  pages = {art. 367 [17 ]},
  ISSN = {2072-4292},
  year = {2019},
  DOI = {10.3390/rs11030367},
  URL = {https://www.documentation.ird.fr/hor/fdi:010075283},
}