Autor:
Odiit, M.
Bessell, P.R.
Fèvre, Eric M.
Robinson, Timothy P.
Kinoti, J.
Coleman, P.G.
Welburn, S.C.
McDermott, John J.
Woolhouse, Mark E.J.
Geographic information systems (GIS) and remote sensing were used to identify villages at high risk for sleeping sickness, as defined by reported incidence. Landsat Enhanced Thematic Mapper (ETM) satellite data were classified to obtain a map of land cover, and the Normalised Difference Vegetatio...
Enlace original:
https://cgspace.cgiar.org/handle/10568/29673
Odiit, M.
,
Bessell, P.R.
,
Fèvre, Eric M.
,
Robinson, Timothy P.
,
Kinoti, J.
,
Coleman, P.G.
,
Welburn, S.C.
,
McDermott, John J.
,
Woolhouse, Mark E.J.
,
[Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda]
,
Using remote sensing and geographic information systems to identify villages at high risk for rhodesiense sleeping sickness in Uganda
