@article{fdi:010073690,
  title = {{U}sing textural analysis for regional landform and landscape mapping, {E}astern {G}uiana {S}hield},
  author = {{B}ugnicourt, {P}. and {G}uitet, {S}. and {S}antos, {V}. {F}. and {B}lanc, {L}. and {S}otta, {E}. {D}. and {B}arbier, {N}icolas and {C}outeron, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{A}vailability of digital elevation models ({DEM}) of increased spatial resolution has triggered interest in texture based methods for automated geomorphometry. {T}his prospect is all the more appealing concerning tropical countries for which mapping of geomorphic entities has remained limited despite its relevance for natural resource assessment and land planning. {I}n this paper we applied to the {S}huttle {R}adar {T}opography {M}ission ({SRTM}) {DEM} a multiscale texture analysis based on {F}ourier 2{D} periodogram ({FOTO} method) to reach a spatially coherent mapping that would agree with current knowledge over the conterminous territories of {F}rench {G}uiana and {A}mapa ({B}razil). {T}hrough a principal component analysis, {FOTO}-extracted textural features were found complementary and combined with six common physiographic criteria (convexity, wetness index, dissection, elevation, and percent of steep and low slopes) calculated from the {DEM}. {T}his provided a primary semiautomated mapping of 16 classes of landform types. {T}o increase legibility, we a aggregated into eight landscape unit classes that were the most similar in terms of texture and relief criteria while being frequently contiguous. {T}he resulting map was compared with existing maps that were, however, more local or of lesser resolution and informative content over the region of interest. {M}ultiscale {F}ourier spectra proved useful to depict land surface texture and, in synergy with relief variables, allowed identifying a large variety of landforms for broad-scale geomorphic mapping in the humid tropics.},
  keywords = {{SRTM}/{DEM} ; {L}and surface texture ; {S}emi-automated mapping ; {FOTO} method ; {T}errain grain ; {R}elief criteria ; {GUYANE} {FRANCAISE}. {BRESIL} ; {AMAPA}},
  booktitle = {},
  journal = {{G}eomorphology},
  volume = {317},
  numero = {},
  pages = {23--44},
  ISSN = {0169-555{X}},
  year = {2018},
  DOI = {10.1016/j.geomorph.2018.03.017},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073690},
}