多光谱遥感影像在长江水位监测中的应用

Application of multi-spectral remote sensing images in monitoring the water level of Yangtze River

人类社会生活、生产活动与江河水位变化密切相关。河道水位监测系统可以实时掌握河道水位的变化情况,是科学预警水情隐患、保障港口及航运安全、提升防汛抗旱能力的重要手段。本文对长江局部水域面积与水位观测值之间的相关性进行了研究,并建立了回归方程;最终利用多光谱遥感影像提取出长江水域面积,并应用该回归方程进行长江水位的推算。结果表明,该方法能够为江河、湖泊、水库等水体的水位监测提供一种简便可行的估算方法。

Human social life and production activities are closely related to changes in river water levels.River water level monitoring system can real-time get the changes in river water level,and is an important means for scientific warning of water hazards,ensuring the safety of ports and shipping,and improving flood control and drought resistance capabilities.This paper studies the correlation between the local water area of Yangtze River and the observed water level values,and establishes a regression equation.Therefore,using multi-spectral remote sensing images to extract the area of the Yangtze River water area,this regression equation can be used to calculate the water level.The results show that this method can provide a simple and feasible estimation method for water level monitoring of rivers,lakes,and reservoirs.