遥感影像空间分辨率对河道水体识别影响. (Chinese)

High-precision water body interpretation of river channels is of great significance for a comprehensive and detailed understanding of changes in water resources, the scientific formulation of water resource protection strategies, and the rational planning and development of water resources. In this study, the main river channel in the lower reaches of Minjiang River is taken as the study area, the Landsat-8, Sentinel-2 and GF-6 satellite images are used as data sources to analyze and compare the water body identification performance of different spatial resolution remote sensing images in rivers identification in different morphological channels. The results show that remote sensing images with spatial resolutions of 2~30 m can effectively reflect the shape of the river. For the mountainous rivers with regular boundaries and sea‐ ward river with wide water surface, the remote sensing images with 2~30 m spatial resolution can obtain excellent interpretation results, which will not significantly affect the identification of water bodies in rivers. However, the spatial resolution of remote sensing images has a greater impact on the identification of water bodies in urban rivers with narrower widths, and the high spatial resolution remote sensing images are more conducive to identifying water bodies in urban rivers. And as the spatial resolution of remote sensing images decreases, the ability to characterize riverbank boundaries will gradually decreases, and the phenomena of water body leakage and misidentification will increase [ABSTRACT FROM AUTHOR]

高精度的河道水体解译对全面详实掌握水资源变化, 科学制定水资源保护策略, 合理规划开发水资源具有 重要意义.研究以闽江下游主河道为研究区域, 以Landsat-8, Sentinel-2和GF-6卫星影像为数据源, 分析对比不同空间 分辨率遥感影像在不同形态河道中的水体识别效果.结果表明, 2~30 m空间分辨率的遥感影像均可有效反映河道形态； 在边界规整的山区型河道和河面宽阔的入海型河道, 2~30 m的空间分辨率遥感影像均能获得较好的解译结果, 遥感影像 空间分辨率的改变不会对河道的水体识别效果产生显著影响；遥感影像空间分辨率对河宽较窄的城区型河道的水体识 别效果影响较大, 高空间分辨遥感影像更有利于城区型河道水体的识别；随遥感影像空间分辨率的降低, 遥感影像对河 岸边界表征能力将逐渐下降, 水体漏分和错分现象将增加. [ABSTRACT FROM AUTHOR]

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