@inproceedings{fdi:010071864,
  title = {{A} free high resolution land cover on the small {I}ndian {O}cean islands, an example of its use with the study of vector-borne diseases [poster]},
  author = {{R}{\'e}villion, {C}hristophe and {A}ttoumane, {A}rtadji and {H}erbreteau, {V}incent},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he southwest of the {I}ndian {O}cean comprises numerous islands of less than 3000 sq km ({C}omoros, {S}eychelles, {M}ascarene {I}slands). {T}hese small island territories have very fragmented and diversified environments. {S}atellite imagery and products at low and medium spatial resolution (usually from 4 kilometers to 250 meters) are not or poorly suited to the study of these areas. {T}his is particularly the case for ecological studies such as the study of vector-borne diseases where the evaluation of interactions at a fine scale is critical to understand their spatial dynamics. {T}o overcome this need, we realized a homogeneous land cover mapping of these small islands, by analysing {SPOT} 5 satellite images acquired between {J}uly 2013 and {J}uly 2014 by {SEAS}-{OI} {S}tation. {W}e used an object-based image analysis method to identify the 12 major classes of land cover / land use of these tropical islands. {T}his methodology together with a good knowledge of the field has enabled us to achieve an overall accuracy of 85%, making it an operational product. {I}n order to illustrate the importance of this dataset, we present its use in health research to describe thelocation of health observations: whether the place of residence of patients or the points of capture of disease vectors through several examples in {R}eunion, {M}ayotte, the {U}nion of the {C}omoros and the {R}epublic of {S}eychelles. {I}n these studies, high resolution allows to provide very fine information on the surrounding environment, while little data is usually available at this scale. {I}n the statistical analyzes, these data were mainly used to differentiate between infected and non-infected individuals. {T}his high resolution landcover is available on a web portal to allow a wider distribution to researchers and thematicians using land cover information in their field.},
  keywords = {{TELEDETECTION} {SPATIALE} ; {MILIEU} {INSULAIRE} ; {EPIDEMIE} ; {VECTEUR} ; {ECOLOGIE} ; {ANALYSE} {SPATIALE} ; {IMAGE} {SATELLITE} ; {CARTOGRAPHIE} ; {OCEAN} {INDIEN} ; {GRANDE} {COMORE} ; {MAYOTTE} ; {MOHELI} ; {ANJOUAN} ; {REUNION} ; {SEYCHELLES} ; {MAHE}},
  numero = {},
  pages = {1},
  booktitle = {},
  year = {2017},
  URL = {https://www.documentation.ird.fr/hor/fdi:010071864},
}