An Integrated Cloud-Based Framework for Remote Sensing Data Processing.

Abstract

Nowadays, an advanced remote sensing technology acquires huge amounts of Earth surface details with multi-spatial, multi-temporal and multi-spectral resolutions that have changed drastically the size and structure of data. In order to process such big remote sensing data, it is vital to adopt a new approach, i.e. Cloud Computing, which is an elastic, scalable and reliable solution. In line with current deployment of data storage on the cloud by various space agencies and data providers, we are developing remote sensing processing services on the cloud to take advantage of cloud-based datasets and provide remote sensing communities with a more suitable approach to deal with today’s remote sensing big data. This paper describes how the proposed framework components interact with each other and describes a proof of concept of supervised classification software as a service (SAAS) built on top of Amazon Web Services public cloud working on Landsat 8 data sets. Other more complicated image understanding services will be implemented in further studies.