Design of a Web-Based Geospatial Query System for Large Satellite Image Repositories

Abstract

In recent years, satellite image data has been increasingly widely used in many areas of economic and social life. Over time, the accumulated image data lake have increased rapidly in both quantity and capacity. This gives organizations that research, apply and produce geospatial data more opportunities to exploit information, but also poses some challenges in managing them. A basic need of online users is to search, locate and look up information about satellite images in the data lake they are interested in. The main contribution in this study include two aspects. Firstly, an effective scientific practical approach to design data architecture for storing satellite image data and managing satellite image metadata based on three technologies: Hadoop, Hbase and PostGis was proposed and tested. Secondly, a Web service that allows quick search and look up of satellite image metadata information in big data lake was implemented and tested. Experimental results on the Sentinel2 image warehouse has shown promising results. Satellite images are queried and located in the database in near real-time mode. Smart, easy-to-use client interface creates a smooth experience, Web APIs are fast and seamless (www.geoview.vn).