 This work presents a cloud computing approach for object-based image analysis and classification of remote-sensing datasets, using machine learning methods through a web-based notebook system, which was implemented with the inter-cloud system integrated with Apache Zeppelin notebook system. The results showed the effectiveness of the approach in efficiently handling large data volumes in a scalable way by utilizing resources from commercial cloud computing infrastructure services. This article was authored by R. Antunes, T. Blaschke, D. Teder, and others.