Remote Sensing and Image Processing Techniques for Water Environment Monitoring: A Case Study of the Beijing-Tianjin-Hebei Region

With rapid economic and urban progression, water resource and environmental challenges have become increasingly evident.This research focuses on water environment monitoring in the Beijing-Tianjin-Hebei region, employing advanced remote sensing and image processing methodologies.A technique was developed to extract the spatial location features of water bodies using remote sensing image segmentation.In addition, a novel spectral feature extraction technique predicated on a double inverse Gaussian model was introduced.This innovative method adeptly captures the contours of absorption peaks, facilitating the expression and extraction of spectral characteristics inherent to the water bodies.These methodologies were primarily designed to offer both theoretical and technical insights into the spatial distribution and temporal dynamics of the water environment.The outcomes of this study are comprehensively examined, with potential enhancements and prospective trends in water environment monitoring elucidated.