Evaluation and visualization of hydrological sensor network: an integrated approach using MODIS images

Advancement in sensor networks and their availability enhanced the spatial and temporal resolution of the data. High spatial and temporal resolution data are very useful in mapping and monitoring the environmental phenomena and in decision making processes. However, the reliability and efficiency of sensor networks and associated uncertainty of the data play a crucial role in understanding the phenomena. This paper describes an automatic evaluation method of the local sensor network using globally available MODIS images. The method uses the real time temperature time series data acquired from the 17 different locations of the sensor web and from MODIS satellite images. Complemented sensor web data are represented as 3D gridded interpolated surface. An integrated spatiotemporal performance map is developed to visualize the real time performance of the overall sensor network. Finally network’s spatiotemporal performance map and related meta data are published on the Linked Open Data cloud environment as a global recommendation system for the end users of the hydrological sensor network.