Information extraction of inland surface water bodies based on optical remote sensing:A review
Inland surface water bodies,including rivers,lakes,and reservoirs,are significant freshwater resources for human beings and ecology,and their monitoring and control are greatly significant.Optical remote sensing provides great convenience for the monitoring of surface water resources,proving to be an important means for the information extraction and dynamic monitoring of inland surface water bodies.This study reviews the basic principles,remote sensing data sources,methods,existing issues,and prospects of the information extraction of water bodies.Owing to the unique characteristics of the remote sensing images of inland surface water bodies,their information can be extracted in an accurate,scientific,and effective manner using remote sensing.Multiple remote sensing data resources can be applied to the information extraction,and the optical remote sensing-based extraction methods include the threshold value method,classifier method,object orientation method,and deep learning method.Given that different methods have unique advantages,disadvantages,and applicable conditions,selecting appropriate multi-source data and varying methods based on the conditions of study areas tend to improve the information extraction accuracy.Nevertheless,there still exist some issues in the optical remote sensing-based water body information extraction,such as the balance of spatiotemporal resolution of remote sensing data,the information mining of water body characteristics,the generalization ability of water body models,and the uniformity of criteria for accuracy evaluation.
optical remote sensingwater body extractiondata sourceextraction method
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