Abstract
This study aimed at (1) determining the environmental parameters of QuickBird imagery as a basis for determining the level or potential information associated with dengue disease, and (2) conducting spatial ecological modeling to determine areas at vulnerability of dengue disease based on the results of the analysis of the spatial relationship between the incidence of dengue disease with environmental conditions parameters settlement QuickBird image interpretation. QuickBird image analysis consists of: image interpretation, test the accuracy and presentation of spatial data related environmental parameters suspected dengue disease include: (1) the density of settlement, (2) settlement patterns, (3) the distance the settlements on the river, (4) the distance the settlements to landfills (depot transporter), (5) population density, and (6) weather and climatic conditions (rainfall, temperature, and humidity). The results show the ability and contribution of Quickbird imagery in spatial modeling dengue disease incidence, by generating spatial data related environmental parameters suspected dengue disease events with reasonable accuracy, which subsequently became the basis of spatial data in a geographic information system for spatial ecology modeling, and determine areas vulnerable and at risk of dengue and dengue cases prediction.
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