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Lake Water Quality Monitoring Using Hyperspectral Airborne Data - A Multitemporal Approach

机译:利用高光谱空降数据的湖水质量监测 - 多型方法

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This study presents an approach for the determination of the trophic parameters Secchi depth and chlorophyll-a from hyperspectral airborne casi and HyMap data with multi-temporal validity. Based on in situ water sampling and reflectance measurements, algorithms have been developed: for Secchi depth the area between a base line and the spectrum from 400 nm to 750 nm was calculated and correlated to the Secchi depth measured in situ; chlorophyll-a concentration was quantified using the reflectance ratio at 705 nm and 678 nm showing a linear relationship to chlorophyll-a content from laboratory spectro-photometric measurements. The algorithms have been adapted to the spectral characteristics of the airborne sensors and applied to these data recorded in September 1997 and 1998, May and June 1999. The validation using independent in situ reference showed mean standard errors of 1.2 to 1.3 m for Secchi depth and of 10.2 to 10.9 μg/l chlorophyll-a.
机译:该研究提出了一种方法,用于测定繁殖参数SECCHI深度和具有多时间有效性的高光谱空气传播CASI和Hymap数据的冬季曲线深度和叶绿素-A。基于原位水采样和反射测量,已经开发了算法:Secchi深度基础线和400nm至750nm之间的区域进行计算并与原位测量的Secchi深度相关;使用705nm和678nm的反射率比定量叶绿素 - 浓度显示与实验室光谱 - 光度测量的叶绿素-a含量的线性关系。该算法已经适用于空气传感器的光谱特性,并应用于1997年9月和1999年9月记录的这些数据。使用独立原位参考的验证显示SECCHI深度为1.2至1.3米的平均标准误差。 10.2至10.9μg/ l叶绿素-a。

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