@article{fdi:010071232,
  title = {{T}oward a general tropical forest biomass prediction model from very high resolution optical satellite images},
  author = {{P}loton, {P}ierre and {B}arbier, {N}icolas and {C}outeron, {P}ierre and {A}ntin, {C}. {M}. and {A}yyappan, {N}. and {B}alachandran, {N}. and {B}arathan, {N}. and {B}astin, {J}. {F}. and {C}huyong, {G}. and {D}auby, {G}illes and {D}roissart, {V}incent and {G}astellu-{E}tchegorry, {J}. {P}. and {K}amdem, {N}. {G}. and {K}enfack, {D}. and {L}ibalah, {M}. and {M}ofack, {G}. and {M}omo, {S}. {T}. and {P}argal, {S}. and {P}etronelli, {P}. and {P}roisy, {C}hristophe and {R}{\'e}jou-{M}{\'e}chain, {M}axime and {S}onk{\'e}, {B}. and {T}exier, {N}icolas and {T}homas, {D}. and {V}erley, {P}hilippe and {D}ongmo, {D}. {Z}. and {B}erger, {U}. and {P}{\'e}lissier, {R}apha{\¨e}l},
  editor = {},
  language = {{ENG}},
  abstract = {{V}ery high spatial resolution ({VHSR}) optical satellite imagery has shown good potential to provide non-saturating proxies of tropical forest aboveground biomass ({AGB}) from the analysis of canopy texture, for instance through the {F}ourier {T}ransform {T}extural {O}rdination method. {E}mpirical case studies however showed that the relationship between {F}ourier texture features and forest {AGB} varies across forest types and regions of the world, limiting model transferability. {A} better understanding of the biophysical mechanisms on which canopy texture forest {AGB} relation relies is a prerequisite to move toward broad scale applications. {H}ere we simulated {VHSR} optical canopy scenes in identical sun-sensor geometry for 279 1-ha tropical forest inventory plots distributed across the tropics. {O}ur aim was to assess the respective merits and complementarity of two types of texture analysis techniques (i.e. {F}ourier and lacunarity) on a set of forests with contrasted structure and geographical origin, and develop a general texture-based approach for tropical forest {AGB} mapping. {A}cross forests, {F}ourier texture captured a gradient of stands mean crown size reflecting well the progressive changes in stand structure throughout forest aggradation phase (e.g. {P}earson's r = - 0.42 with basal area) while lacunarity texture captured a gradient of canopy openness (, i.e. {P}earson's r = - 0.57 with stand gap fraction). {B}oth types of texture indices were highly complementary for predicting forest {AGB} at the global level (so-called {FL}-model). {T}he residual error of the {FL}-model was structured across sites and could be partially captured with a bioclimatic proxy, further improving the performance of the global model (so-called {FLE}-model) and reducing site-level biases. {T}he {FLE} model was tested on a set of real {P}leiades images covering a mosaic of high-biomass forests in the {C}ongo basin (mean {AGB} over 49 field plots: 359 98 {M}g ha(-1)), leading to a significant relationship ({R}-2 = 0.47 on validation data) with reasonable error levels (< 25% r{RMSE}). {T}he increasing availability of {VHSR} optical sensors (such as from constellations of small satellite platforms) raises the possibility of routine repeated imaging of the world's tropical forests and suggests that texture-based analyses could become an essential tool in international efforts to monitor carbon emissions from deforestation and forest degradations ({REDD} +).},
  keywords = {{T}ropical forests ; {C}anopy structure ; {F}orest carbon ; {REDD} ; {P}assive optical imagery ; {T}exture ; {F}ourier transform ; {L}acunarity ; {AFRIQUE} ; {INDE} ; {GUYANE} {FRANCAISE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {200},
  numero = {},
  pages = {140--153},
  ISSN = {0034-4257},
  year = {2017},
  DOI = {10.1016/j.rse.2017.08.001},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071232},
}