An automatic SWILC classification and extraction for the AntSDI under a Sensor Web environment

Abstract

How to update spatial information in real time or near real time has become a bottleneck in the construction of the Antarctica Spatial Data Infrastructure (AntSDI). An automatic sensor processing workflow (SPW) approach consisting of sensor discovery and retrieval service; snow, water, ice, land and cloud (SWILC) Web processing service (WPS); and an SPW engine under the Sensor Web environment is used in this paper to generate live SWILC maps dynamically. A prototype consisting of a sensor processing model designer, a model instantiation service, and an SPW engine is presented. A scenario of an Earth Observing-1 (EO-1) Sensor Web data service for SWILC classification and feature extraction in Antarctica is used to test the feasibility of the proposed framework. The integration of SPW with Google Earth and updating of the spatial information for AntSDI using the Transactional Web Feature Service (WFS-T) are evaluated. The results show that the proposed approach is feasible for the update of spatial data in Antarctica.