Abstract
The selection of suitable algorithms plays an important rolein any applicationsof machine learn-ing methods because of their many criteria. Also, the understanding of the strengthen and weakness of algorithms in machine learning methods is essential to bring high efficiency. Within the scope of this manuscript, the team conducted an algorithm of Machine Learning methods called Random Forest in using the SPOT6 remote sensing for the mangrove forest classification with the test area in Ca Mau Province. The results of the study have achieved two new points: successfully applying Machine Learning method in remote sensing image classification, and classification of detail species of mangrove forests in the study area. In addition, the team has exploited the potential of machine learning methods to identify patterns on remote sensing images based on the selected samples in order to extract thematic information in high accuracy.
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