Malaria, transmitted by anopheline mosquitoes, remains a serious healt
h problem in the tropics. Most malaria eradication efforts focus on co
ntrol of anopheline vectors. These efforts include the NASA Di-Mod pro
ject, whose current goal is to integrate remote sensing, geographic in
formation systems (GIS), and field research to predict anopheline mosq
uito population dynamics in the Pacific coastal plain of Chiapas, Mexi
co. Field studies demonstrate that high larval production of Anopheles
albimanus, the principal malaria vector in the plain, can be linked t
o a small number of larval habitat-types, determined by larval samplin
g and cluster analysis of wetlands in the coastal plain. Analysis of w
et and dry season Landsat Thematic Mapper (TM) satellite imagery ident
ified 16 land cover units within an 185-km(2) study area in the coasta
l zone. A hierarchical approach was used to link the larval habitat-ty
pes with the larger land cover units and make predictions of potential
and actual low, medium, and high anopheline production. The TM-based
map and GIS techniques were then used to predict differences in anophe
line production at two villages, La Victoria and Efrain Gutierrez. La
Victoria was predicted to have much higher Anopheles albimanus product
ion, based upon a 2-10 times greater extent of medium- and high-produc
ing land cover units in its vicinity. This difference between villages
was independently supported by sampling (with light traps) of adults,
which were 5-10 times more abundant in La Victoria.