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首页> 外文期刊>International journal of remote sensing >Estimation of chlorophyll-α concentration and trophic states for inland lakes in Northeast China from Landsat TM data and field spectral measurements
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Estimation of chlorophyll-α concentration and trophic states for inland lakes in Northeast China from Landsat TM data and field spectral measurements

机译:利用Landsat TM数据和野外光谱测量估算东北内陆湖泊的叶绿素-α浓度和营养状态

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Landsat TM data and field spectral measurements were used to evaluate chlorophyll-α (Chl-α) concentration levels and trophic states for three inland lakes in Northeast China. Chl-α levels were estimated applying regression analysis in the study. The results obtained from the field reflectance spectra indicate that the ratio between the reflectance peak at 700 nm and the reflectance minimum at 670 nm provides a relatively stable correlation with Chl-α concentration. Their determination of coefficients R2 is 0.69 for three lakes in the area. From Landsat TM data, the results show that the most successful Chl-α was estimated from TM3/TM2 with R~2=0.63 for the two lakes on 26 July 2004, from TM4/TM3 with R~2=0.89 for the two lakes on 14 October 2004, and from the average of TM2, TM3 and TM4 with R~2=0.72 for the three lakes tested on 13 July 2005. These results are applicable to estimate Chl-α from satellite-based observations in the area. We also evaluate the trophic states of the three lakes in the region by employing Shu's modified trophic state index (TSI_M) for the Chinese lakes' eutrophication assessment. Our study presents the TSI_M from different TM data with R~2 more than 0.73. The study shows that satellite observations are effectively applied to estimate Chl-α levels and trophic states for inland lakes in the area.
机译:利用Landsat TM数据和现场光谱测量结果评估了中国东北三个内陆湖泊的叶绿素-α(Chl-α)浓度水平和营养状态。在研究中使用回归分析估计Chl-α水平。从场反射光谱获得的结果表明,在700 nm处的反射峰与在670 nm处的最小反射率之间的比率提供了与Chl-α浓度相对稳定的相关性。他们对该地区三个湖泊的系数R2的确定为0.69。根据Landsat TM数据,结果表明,最成功的Chl-α估计是2004年7月26日通过TM3 / TM2对两个湖泊进行的,R〜2 = 0.63,对于TM4 / TM3,对两个湖泊进行的R〜2 = 0.89。 2004年10月14日,从2005年7月13日测试的三个湖泊的TM2,TM3和TM4的平均值得出R〜2 = 0.72。这些结果可用于根据该地区的卫星观测值估算Chl-α。我们还通过采用舒氏修正的营养状态指数(TSI_M)对中国湖泊的富营养化评估,评估了该地区三个湖泊的营养状态。我们的研究提出了来自不同TM数据的TSI_M,R〜2大于0.73。研究表明,卫星观测有效地用于估算该区域内陆湖泊的Chl-α水平和营养状态。

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