乌梁素海沉水植物群落光谱特征及其受覆盖度的影响分析

沉水植物是湖泊生态系统重要组成,也是水质与健康状况的指标性类群,可以采用遥感技术对其生长和分布情况进行监测.基于实测光谱数据,分析了乌梁素海沉水植物光谱特征,研究了覆盖度对乌梁素海沉水植物反射光谱的影响,建立了乌梁素海沉水植物覆盖度反演模型.结果 表明;沉水植物群落的光谱反射率随覆盖度减少而下降,覆盖度为1％～20％时...

SPECTRAL FEATURES OF SUBMERGED AQUATIC VEGETATION UNDER COVERAGE IMPACT IN THE ULANSUHAI LAKE

Submerged plants play an important role in lake ecosystems and act as an indicator of water quality and aquatic ecosystem health.Remote sensing technology offers opportunity to improve the monitoring on growth and distribution of submerged plants.To analyze the spectral characteristics of submerged aquatic vegetation in Ulansuhai Lake,Inner Mongolia,China,the effects of coverage on the reflectance spectra of submerged plants in the lake was explored based on measured spectral data.A submerged plant coverage retrieval model was established.Results show that the spectral reflectance of submerged plants decreased with the coverage decrease.The spectral reflectance of submerged plants was close to that of water at a coverage of 1%~20%although the differences remained at 813 nm and 1069 nm.The spectral reflectance of submerged plants was significantly and positively correlated with the coverage in 710~746 nm band.Among models established of submerged plant coverage retrieval,the band ratio retrieval model was better than that of the single band retrieval model in performance.The band ratio retrieval model had the highest accuracy and was shown to be suitable for monitoring submerged plants with coverage of 60%~100%.In addition,the multi-spectral instrument(MSI)coverage retrieval model was established by integrating the measured spectral reflectance into the Sentinel-2 MSI bands using the band response function.The band ratio quadratic polynomial coverage retrieval model achieved the best effect.Therefore,the submerged plant coverage retrieval model developed in this study can be used to inverse the coverage of submerged aquatic vegetation in the Ulansuhai Lake.