This volume serves as the post-conference proceedings for the Second GeoSensor Networks Conference that was held in Boston, Massachusetts in October 2006. The conference addressed issues related to the collection, management, processing, ana- sis, and delivery of real-time geospatial data using distributed geosensor networks. This represents an evolution of the traditional static and centralized geocomputational paradigm, to support the collection of both temporally and spatially high-resolution, up-to-date data over a broad geographic area, and to use sensor networks as actuators in geographic space. Sensors in these environments can be static or mobile, and can be used to passively collect information about the environment or, eventually, to actively influence it. The research challenges behind this novel paradigm extend the frontiers of tra- tional GIS research further into computer science, addressing issues like data stream processing, mobile computing, location-based services, temporal-spatial queries over geosensor networks, adaptable middleware, sensor data integration and mining, au- mated updating of geospatial databases, VR modeling, and computer vision. In order to address these topics, the GSN 2006 conference brought together leading experts in these fields, and provided a three-day forum to present papers and exchange ideas.

The use of geosensors, including GPS receivers, micro-sensors, and still and video cameras, has steadily increased, and so a new paradigm for geocomputation is required. Sensor-Based Distribution Geocomputing addresses the collection, analysis, management and delivery of geospatial data using distributed geosensors. This data is collected from multiple sources in a broad geographic area and then disseminated to multiple users. Noted experts discuss mobile and wireless computing, location-based services and products, spatiotemporal analysis, VR modeling, computer vision and real-time databases. This text is indispensable for researchers and professionals in the geospatial community.