查干湖富营养化状况高光谱遥感评价研究

通过分析查干湖水体水质参数与其高光谱反射特征之间的响应关系,采用单波段与波段比值等算法分别建立了湖水水质的高光谱定量反演模型;同时结合修正营养状态指数(TSIM)模型,针对水质参数的实验室数据和高光谱模型模拟数据,对查干湖富营养化程度进行了监测和评价,并进行了验证.结果表明:1)利用高光谱监测模型对湖泊富营养化状况进行监测和评价,能够获取较为准确的评价结果;2)单项指数评价法由于只针对一个指标进行评价,不适合用来进行水体富营养化评价,采用修正营养状态指数TSIM(AVE)方法,可以对查干湖水体富营养化程度进行正确的评价.评价结果显示,查干湖水体处于富营养化状态,需要采取措施防止进一步恶化.

Hyperspectral data applied in monitoring and evaluating the water trophic state of Lake Chagan

An approach for monitoring and evaluating the trophic state with field reflectance spectra in Lake Chagan,China is presented. Based on in situ water sampling and measurements with ASD FieldSpec spectrometer, algorithms of Chlorophyll-a, Secchi Disk Depth (SDD) and TP have been developed. Furthermore, with the TSI_M trophic state index model, the trophic state of Lake Chagan was monitored and evaluated. The results showed that: (1)TSI_M model with hyperspectral datamay obtain accurate results; (2)Single parameter TSI_M compared with multi-parameter TSI_M is limited, which may induce false result; and (3)Lake Chagan was in eutrophic state, which needs to be prevented from further worsen.