The ability to utilize the vast amounts of remote sensing data such as Earth observations currently requires significant efforts by experts in multiple domains. Further hindering the utilization of related information is the computational resources required to effectively store, access, and process the data. However, by utilizing the ever-increasing power of cloud computing, recent advances in computational fusion mechanisms, and emerging programming paradigms government agencies and the public at large can efficiently generate tools which utilize this data resulting in an increased return on investment. Geocent proposes the development of the Cloud-Based Open Data Environment and Flow-based Aggregation Science Tool (CODEFAST) a data processing framework and user-friendly platform, which will allow the efficient creation, customization, and processing of Decision Support Tools (DST) by different users in varied fields. The proposed architecture of CODEFAST is comprised of two main components: a Computational Fusion Platform (CFP) and a Flow-Based Programming Interface (FPI). By combining the capabilities of CODEFAST with the flexible and cost effective nature of commercial cloud-computing services the system can provide an easy to use mechanism for processing Earth science data in a high-performance computing environment.