Complex interactions of ecological and climate indicators play a vital role in defining spatiotemporal patterns of vector-borne disease habitats and transmission. Vietnam is in the sub-tropical climate zone with high humidity and abundant precipitation, while unevenly distributed precipitation leads to frequently annual occurrence of drought and flooding. The increase in frequency and magnitude of severe weather extremes likely linked to climate change and anthropogenic processes highlights the demands of research in GeoHealth risk and adaptive capacity assessment. In this study, mapping vector-borne disease is made for revealing physical features of ecological indicators and its association with vector-borne diseases and adaptive capacity to illustrate how remotely sensed data products have been utilized in GeoHealth applications, surveillance, and vector-borne disease risk mapping in Vietnam. Additionally, it is to promise the possibilities of establishing disease early-warning systems with citizen participation and provide knowledge to support ecological and human health diseases research.