Massive remote sensing image data management based on HBase and GeoSOT

Since the traditional approaches of managing remote sensing image data could no longer deal with the massive data challenges nowadays, we present a method to divide remote sensing image data into blocks based on GeoSOT global discrete grid system and store the data blocks into HBase. Also, a distributed processing method using parallel programming model MapReduce, is designed to deal with the image data blocks. In the end, we verifies the feasibility and efficiency of the proposed approaches in HBase cluster.