Environmental vector-borne diseases are plaguing much of the world and are a serious concern on a global scale. Many of these diseases are clearly associated with environmental or/and climate conditions . Remote sensing is suitable for identifying and studing these environmental factors.

The contribution of satellite imagery is to allow the environmental measurement factors favorable (or not) to the appearance of infectious illness such as identification of the lodging larval, of the zones in vegetation, the detection of stagnant water, the temperature of the oceans, the concentration out of chlorophyl has oceans, for example. That consists to identifying which types of data satellite are the best for the need (space, temporal, spectral resolution) and then to create adapted space products. That can be new products but also adaptation of already existing products such as the NDVI for by identifying the zones of vegetation.

Cnes develops a new conceptual approch, to obtain product wich integrate in situ data until monitoring with space data. In the example below, this original approach(CNES, 2008) bridges the physical and biological mechanisms, linking environmental conditions to the production of RVF vectors and the accompanying potential risks.