Li Zhichao, Catry Thibault, Dessay Nadine, Roux Emmanuel, Seyler Frédérique. (2017). Mapping soil typologies using geomorphologic features extracted from DEM and SAR data : an environmental factor affecting malaria transmission in the Amazon. In :
2016 IEEE International Geoscience & Remote Sensing Symposium : proceedings. New York : IEEE, p. 3140-3143. (IEEE International Symposium on Geoscience and Remote Sensing IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 36., Pékin (CHI), 2016/07/10-15. ISBN 978-1-5090-3332-4.
Titre du document
Mapping soil typologies using geomorphologic features extracted from DEM and SAR data : an environmental factor affecting malaria transmission in the Amazon
Année de publication
2017
Auteurs
Li Zhichao, Catry Thibault, Dessay Nadine, Roux Emmanuel, Seyler Frédérique
In
2016 IEEE International Geoscience & Remote Sensing Symposium : proceedings
Source
New York : IEEE, 2017,
p. 3140-3143 (IEEE International Symposium on Geoscience and Remote Sensing IGARSS). ISBN 978-1-5090-3332-4
Colloque
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 36., Pékin (CHI), 2016/07/10-15
Soil 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 Amazon. Based on a conceptual model of tropical soil evolution and distribution, the curvature of watershed slopes is a key indicator of soil typology. The 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. The nonwater surface was then integrated with the average curvature of subwatersheds for soil typologies mapping. An indirect approach of soil typologies prediction was proposed, which is complementary with the classical soil classification methods.
Plan de classement
Epidémiologie du paludisme [052ANOPAL03]
;
Pédologie [126TELAPP03]
Descripteurs
SOL ; TYPOLOGIE ; CARTE PEDOLOGIQUE ; TELEDETECTION SPATIALE ; PALUDISME ; TRANSMISSION ; DISTRIBUTION SPATIALE
Description Géographique
AMAZONIE ; GUYANE FRANCAISE ; BRESIL
Localisation
Fonds IRD [F B010070439]
Identifiant IRD
fdi:010070439
