通过对二龙湖水体高光谱反射率、归一化以及一阶微分反射率与叶绿素a(Chl-a)进行相关分析,确定与其相关性最好的波段,对Chl-a浓度进行反演。同时,波段比值法也用于反演Chl-a浓度。研究结果表明,单波段模型以及波段比值建立的模型精度均较高,而基于波段比值法的模型验证精度更高(R^2=0.71)。基于高光谱反射率数据,选择敏感波段,对透明度(SDD)、总磷(TP)和总氮(TN)浓度进行反演,结果表明基于原始数据所建模型精度较为理想。结合综合营养状态指数法和营养状态分级指标,对二龙湖的富营养状态进行评价,结果显示,基于高光谱数据反演二龙湖富营养化程度的精度较高(r=0.88),湖水呈现中营养化状态。
Correlation analysis was conducted among original, normalized, first derivative of hyperspectral reflec-tance, and chlorophyll a concentration (Chl - a) in order to determine the most sensitive wavelength for estimation of Chl- a concentration. Band ratio was also adopted for the retrieval of Chl - a concentration. Models based on the four methods all exhibited well results. The verification model based on band ratio showed the highest accuracy with R^2 =0. 71. Moreover, models were established to estimate transparency (SDD) , total phosphorus (TP) , and total nitrogen (TN) based on the original hyperspectral reflectance. The results showed that all the models obtained very high precision. Combination of comprehensive nutrition state index and evaluation index of water quality parameters was used to evaluate the eutrophication status of ErlonghuReservoir. The result showed that Erlonghu Reservoir was in medium nutrient level and measures were needed to prevent the water body from deterioration.