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Global warming is a threat to modern human civilization. There are different reasons for speed up the global average temperature. The consequences are catastrophic for human existence. Seafloor rise, drought, flood, wildfire, dry riverbed are some of the consequences. This paper analyzes the changes in boundaries of different water bodies such as f...
Citations
... It is the result of combining object detection and semantic segmentation. To identify water bodies and identify changes in the region from the photos, Chatterjee et al. [5] studied the Detectron2 architecture of instance segmentation. Before sending input images to the segmentation model, they are scaled. ...
Water body extraction from satellite images helps us to study water resources. Due to constant changes in weather and increase of global warming, it is necessary to track changes in water resources to study their impact on environment. From agriculture to industries, water bodies play a significant role in production. Water bodies play vital role in keeping environmental balance. To study water bodies, acquiring high-resolution satellite images is an important step. But even after receiving high-resolution images, there are some issues which are faced during extraction of water bodies from images taken through satellite. One of the most difficult tasks to overcome is to distinguish between water bodies and its surroundings shadows which are casted on the water. Detection of narrow water bodies is also challenging. Studying water bodies helps us in detection of floods, drought detection, and resource study and also how these water bodies can be used for developing water transport. Apart from these advantages, studying water bodies can become useful in defense. Using detection, it is possible to extract water bodies which can become a water source, electricity generation source, or even a place around which the army can set up their camps. In this paper, various approaches are studied which are used for detecting images taken through satellite. The objective of this paper is to discuss the approaches, algorithms, and methodologies used for detection of water bodies from the images taken by satellite. Accuracy of the various models used is compared and presented.
