@article{fdi:010053502,
  title = {{B}road-scale spatial pattern of forest landscape types in the {G}uiana {S}hield},
  author = {{G}ond, {V}. and {F}reycon, {V}. and {M}olino, {J}ean-{F}ran{\c{c}}ois and {B}runaux, {O}. and {I}ngrassia, {F}. and {J}oubert, {P}. and {P}ekel, {J}. {F}. and {P}r{\'e}vost, {M}arie-{F}ran{\c{c}}oise and {T}hierron, {V}. and {T}rombe, {P}. {J}. and {S}abatier, {D}aniel},
  editor = {},
  language = {{ENG}},
  abstract = {{D}etecting broad scale spatial patterns across the {S}outh {A}merican rainforest biome is still a major challenge. {A}lthough several countries do possess their own, more or less detailed land-cover map, these are based on classifications that appear largely discordant from a country to another. {U}p to now, continental scale remote sensing studies failed to fill this gap. {T}hey mostly result in crude representations of the rainforest biome as a single, uniform vegetation class, in contrast with open vegetations. {A} few studies identified broad scale spatial patterns, but only when they managed to map a particular forest characteristic such as biomass. {T}he main objective of this study is to identify, characterize and map distinct forest landscape types within the evergreen lowland rainforest at the sub-continental scale of the {G}uiana {S}hield (north-east tropical {S}outh-{A}merica 10 degrees {N}orth-2 degrees {S}outh; 66 degrees {W}est-50 degrees {W}est). {T}his study is based on the analysis of a 1-year daily data set (from {J}anuary 1st to {D}ecember 31st, 2000) from the {VEGETATION} sensor onboard the {SPOT}-4 satellite (1-km spatial resolution). {W}e interpreted remotely sensed landscape classes ({RSLC}) from field and high resolution remote sensing data of 21 sites in {F}rench {G}uiana. {W}e cross-analyzed remote sensing data, field observations and environmental data using multivariate analysis. {W}e obtained 33 remotely sensed landscape classes ({RSLC}) among which five forest-{RSLC} representing 78% of the forested area. {T}he latter were classified as different broad forest landscape types according to a gradient of canopy openness. {T}heir mapping revealed a new and meaningful broad-scale spatial pattern of forest landscape types. {A}t the scale of the {G}uiana {S}hield, we observed a spatial patterns similarity between climatic and forest landscape types. {T}he two most open forest-{RSLC}s were observed mainly within the north-west to south-east dry belt. {T}he three other forest-{RSLC}s were observed in wetter and less anthropized areas, particularly in the newly recognized "{G}uianan dense forest arch". {B}etter management and conservation policies, as well as improvement of biological and ecological knowledge, require accurate and stable representations of the geographical components of ecosystems. {O}ur results represent a decisive step in this way for the {G}uiana {S}hield area and contribute to fill one of the major shortfall in the knowledge of tropical forests.},
  keywords = {{F}orest landscape types ; {S}patial pattern ; {R}emote sensing ; {T}ropical rainforest ; {G}uiana {S}hield ; {ZONE} {TROPICALE} ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {A}pplied {E}arth {O}bservation and {G}eoinformation},
  volume = {13},
  numero = {3},
  pages = {357--367},
  ISSN = {0303-2434},
  year = {2011},
  DOI = {10.1016/j.jag.2011.01.004},
  URL = {https://www.documentation.ird.fr/hor/fdi:010053502},
}