@article{fdi:010079510,
  title = {{UAV}-based canopy textures assess changes in forest structure from long-term degradation},
  author = {{B}ourgoin, {C}. and {B}etbeder, {J}. and {C}outeron, {P}ierre and {B}lanc, {L}. and {D}essard, {H}. and {O}szwald, {J}. and {L}e {R}oux, {R}. and {C}ornu, {G}. and {R}eymondin, {L}. and {M}azzei, {L}. and {S}ist, {P}. and {L}aderach, {P}. and {G}ond, {V}.},
  editor = {},
  language = {{ENG}},
  abstract = {{D}egraded tropical forests dominate agricultural frontiers and their management is becoming an urgent priority. {T}his calls for a better understanding of the different forest cover states and cost-efficient techniques to quantify the impact of degradation on forest structure. {C}anopy texture analyses based on {V}ery {H}igh {S}patial {R}esolution ({VHSR}) optical imagery provide proxies to assess forest structures but the mechanisms linking them with degradation have rarely been investigated. {T}o address this gap, we used a lightweight {U}nmanned {A}erial {V}ehicle ({UAV}) to map 739 ha of degraded forests and acquire both canopy {VHSR} images and height model. {T}hirty-three years of degradation history from {L}andsat archives allowed us to sample 40 plots in undisturbed, logged, over-logged and burned and regrowth forests in tropical forested landscapes ({P}aragominas, {P}ara, {B}razil). {F}ourier ({FOTO}) and lacunarity textures were used to assess forest canopy structure and to build a typology linking degradation history and current states. {T}exture metrics capture canopy grain, heterogeneity and openness gradients and correlate with forest structure variability ({R}2 = 0.58). {S}imilar structures share common degradation history and can be discriminated on the basis of canopy texture alone (accuracy = 55%). {O}ver-logging causes a lowering in forest height, which brings homogeneous textures and of finer grain. {W}e identified the major changes in structures due to fire following logging which changes heterogeneous and intermediate grain into coarse textures. {O}ur findings highlight the potential of canopy texture metrics to characterize degraded forests and thus be used as indicators for forest management and degradation mitigation. {I}nexpensive and agile {UAV} open promising perspectives at the interface between field inventory and satellite characterization of forest structure using texture metrics.},
  keywords = {{C}anopy structure ; {F}orest degradation ; {R}emote sensing ; {T}exture ; {T}ropical forest ; {U}nmanned aerial vehicle ; {BRESIL} ; {PARA} ; {PARAGOMINAS}},
  booktitle = {},
  journal = {{E}cological {I}ndicators},
  volume = {115},
  numero = {},
  pages = {106386 [11 ]},
  ISSN = {1470-160{X}},
  year = {2020},
  DOI = {10.1016/j.ecolind.2020.106386},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079510},
}