Implementation of a Time-Series Imagery Service Framework Based on GeoServer : A Case Study of Water Quality Monitoring Map

Traditional map services usually use manual publishing of multiple layers for massive raster temporal data presents challenges such as being time-consuming and having inconvenient management. To address these limitations and improve the storage and management of temporal image data, this paper presents an innovative approach. We investigate a method for publishing aggregated multi-temporal image Web Map Service (WMS) services. This method organizes data sources using an image mosaic plugin and database indexing, enhancing the standard WMS request parameters to access specific image layers through temporal filters. Through testing on water quality monitoring maps as a focal case study, this research applies the proposed method to actual aquatic remote sensing data products. The implementation highlights the method’s superior management and retrieval of time-series imagery, offering a marked improvement over traditional techniques. By enabling precise, efficient data access and easy updates, it revolutionizes large-scale imagery services, particularly demonstrated through water quality monitoring, enhancing both decision-making and environmental monitoring.