@article{fdi:010068673,
  title = {{W}eak environmental controls of tropical forest canopy height in the {G}uiana {S}hield},
  author = {{G}oulamoussene, {Y}. and {B}edeau, {C}. and {D}escroix, {L}. and {D}eblauwe, {V}incent and {L}inguet, {L}. and {H}{\'e}rault, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{C}anopy height is a key variable in tropical forest functioning and for regional carbon inventories. {W}e investigate the spatial structure of the canopy height of a tropical forest, its relationship with environmental physical covariates, and the implication for tropical forest height variation mapping. {M}aking use of high-resolution maps of {L}i{DAR}-derived {D}igital {C}anopy {M}odel ({DCM}) and environmental covariates from a {D}igital {E}levation {M}odel ({DEM}) acquired over 30,000 ha of tropical forest in {F}rench {G}uiana, we first show that forest canopy height is spatially correlated up to 2500 m. {F}orest canopy height is significantly associated with environmental variables, but the degree of correlation varies strongly with pixel resolution. {O}n the whole, bottomland forests generally have lower canopy heights than hillslope or hilltop forests. {H}owever, this global picture is very noisy at local scale likely because of the endogenous gap-phase forest dynamic processes. {F}orest canopy height has been predictively mapped across a pixel resolution going from 6 m to 384 m mimicking a low resolution case of 3 points.<bold>km(-2). {R}esults of canopy height mapping indicated that the error for spatial model with environment effects decrease from </bold>8.7 m to 0.91 m, depending of the pixel resolution. {R}esults suggest that, outside the calibration plots, the contribution of environment in shaping the global canopy height distribution is quite limited. {T}his prevents accurate canopy height mapping based only on environmental information, and suggests that precise canopy height maps, for local management purposes, can only be obtained with direct {L}i{DAR} monitoring.},
  keywords = {forest structure ; canopy height mapping ; environmental covariates ; airborne {L}i{DAR} ; {F}rench {G}uiana ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{R}emote {S}ensing},
  volume = {8},
  numero = {9},
  pages = {art. 747 [16 p.]},
  ISSN = {2072-4292},
  year = {2016},
  DOI = {10.3390/rs8090747},
  URL = {https://www.documentation.ird.fr/hor/fdi:010068673},
}