Historical Sea Ice Reduction Modelling Using OBCD techniques for the Bering Sea employing LANDSAT 8 Satellite Data

This research work presents the effect of global warming on the snow level reduction of the Bering Sea. The Bering Sea, which consists of snow cover throughout the winters, is losing its snow cover very quickly due to global warming. Other object-based change detection (OBCD) techniques are used to analyze the effect of the difference in the snow cover. These techniques are also compared to obtain optimum classification techniques for modeling snow cover. These techniques are compared with each other for the same geographical conditions. The Mahalanobis distance classification algorithm has provided the best classification result for the pre-image, whereas the minimum distance classification algorithm has obtained the best classification results for the post image.