@incollection{fdi:010070439,
  title = {{M}apping soil typologies using geomorphologic features extracted from {DEM} and {SAR} data : an environmental factor affecting malaria transmission in the {A}mazon},
  author = {{L}i, {Z}hichao and {C}atry, {T}hibault and {D}essay, {N}adine and {R}oux, {E}mmanuel and {S}eyler, {F}r{\'e}d{\'e}rique},
  editor = {},
  language = {{ENG}},
  abstract = {{S}oil typologies are characterized by different distribution and circulation of water, associated with specific water chemical properties, and thus potentially affects the distribution and density of malaria vectors in the {A}mazon. {B}ased on a conceptual model of tropical soil evolution and distribution, the curvature of watershed slopes is a key indicator of soil typology. {T}he average curvature of each subwatershed in our study area was identified using 30 m resolution {SRTM} data. {PALSAR} image with a spatial resolution of 12.5 m was used to implement a land cover map, including water and non-water surfaces. {T}he nonwater surface was then integrated with the average curvature of subwatersheds for soil typologies mapping. {A}n indirect approach of soil typologies prediction was proposed, which is complementary with the classical soil classification methods.},
  keywords = {{SOL} ; {TYPOLOGIE} ; {CARTE} {PEDOLOGIQUE} ; {TELEDETECTION} {SPATIALE} ; {PALUDISME} ; {TRANSMISSION} ; {DISTRIBUTION} {SPATIALE} ; {AMAZONIE} ; {GUYANE} {FRANCAISE} ; {BRESIL}},
  booktitle = {2016 {IEEE} {I}nternational {G}eoscience & {R}emote {S}ensing {S}ymposium : proceedings},
  numero = {},
  pages = {3140--3143},
  address = {{N}ew {Y}ork},
  publisher = {{IEEE}},
  series = {{IEEE} {I}nternational {S}ymposium on {G}eoscience and {R}emote {S}ensing {IGARSS}},
  year = {2017},
  DOI = {10.1109/{IGARSS}.2016.7729812},
  ISBN = {978-1-5090-3332-4},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070439},
}