Abstract
As an increase in the accuracy and types of data, a thousand of Terabytes of spatial data has becomean huge data source recently called "Big data". Remote sensing data has complex data structure and many formats, so that it is necessary to developan environment for the purposes of data processing and data storage. Inaddition, that environment can process satellite data fast and stably, and beable to apply machine learning methods for processing remote sensing data. In this manuscript, we will take an investigation in using Google Colaboratory with machine learning for the satellite image classification.
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