基于HJ-1 CCD光谱信息的水体识别方法研究——以松花湖为例

Water Body recognition Method Based on HJ-1 CCD Spectral Information--A Case Study of Songhua Lake

该研究利用环境一号卫星(HJ-1)的CCD数据,采用3种不同的水体自动识别方法,即归一化水体指数(NDWI)、近红外阈值法和监督分类法,对2012—2020年间松花湖的水体进行识别和面积计算。该研究旨在评估各方法在水体面积变化检测中的表现及适用性,通过对比这些方法在不同年份的应用效果。结果表明,监督分类法在多数情况下能够识别出更大的水体面积,显示其在广泛水体监测中的优越性。近红外阈值法在特定年份也表现出较好的水体识别效果。该研究结果可以为HJ-1 CCD在水域监测和灾害预防等方面提供重要的决策支持。

This research used CCD data from the Environment-1 Satellite(HJ-1)and three different automatic water body recognition methods:normalized water body index(NDWI),near-infrared threshold method and supervised classification method to identify and calculate the water body of Songhua Lake between 2012 and 2020.The study aims to evaluate the performance and applicability of each method in detecting changes in water area.By comparing the application effects of these methods in different years,the results show that the supervisory classification method can identify larger water areas in most cases,showing its superiority in extensive water monitoring.The near-infrared threshold method also shows good water body recognition effect in specific years.The research results can provide important decision support for HJ-1 CCD in water monitoring and disaster prevention.