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Assessment of Chlorophyll-a Concentration and Trophic State for Lake Chagan Using Landsat TM and Field Spectral Data

机译:利用Landsat TM和现场光谱数据评估查干湖的叶绿素a浓度和营养状态

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摘要

In this study, we present the digital evaluation of Landsat TM data and field spectral measurements for retrieving chlorophyll-a (chl-a) concentration and trophic state index in Lake Chagan of Northeast China. Chl-a concentration of the lake can be estimated from the band ratio (TM4/TM3) and the field spectral data at 670 nm (absorption peak) and at 700 nm (reflectance peak). The results show that the best determination coefficient (R~2) is 0.67 from the TM data, by which chl-a distribution can be mapped. Based on chl-a determination from laboratory analysis, field spectral and TM data, the modified trophic state index (TSI_M) was applied to assess the lake's trophic state. With the available data in Lake Chagan, each algorithm demonstrates the similar result for assessing the lake's chl-a and trophic state. Our results indicate that Landsat TM and field spectral data could be used effectively to determine chl-a concentration and evaluate the trophic state of Lake Chagan in the study.
机译:在这项研究中,我们介绍了Landsat TM数据的数字评估和现场光谱测量,以检索中国东北查干湖的叶绿素a(chl-a)浓度和营养状态指数。可以从谱带比(TM4 / TM3)和670 nm(吸收峰)和700 nm(反射峰)处的现场光谱数据估算湖泊的Chl-a浓度。结果表明,TM数据的最佳测定系数(R〜2)为0.67,可映射chl-a分布。根据实验室分析,田间光谱和TM数据确定的chl-a,将修改后的营养状态指数(TSI_M)用于评估湖泊的营养状态。利用查干湖中的可用数据,每种算法都证明了评估湖泊的chl-a和营养状态的相似结果。我们的结果表明,在这项研究中,Landsat TM和野外光谱数据可以有效地用于确定chl-a浓度并评估查干湖的营养状态。

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