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Remote sensing of chlorophyll in Lake Kinneret using highspectral- resolution radiometer and Landsat TM: spectral features of reflectance and algorithm development

机译:使用高光谱分辨率辐射计和Landsat Tm遥感感应Lake Kinneret的叶绿素:反射光谱特征和算法开发

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摘要

High-resolution reflectance spectra in the range of 400-850 nm were obtained from Lake Kinneret during a period when dense populations of the dinoflagellate Peridinium gatunense dominated the phytoplankton. Chlorophyll (ChI) concentrations ranged from 5.1 to 185 mg m-3 and from 2.4 to 187.5 mg m-3 in the samples of two independent experiments. The most prominent features of the reflectance spectra were: (i) a wide minimum from 400 to 500 nm; (ii) a maximum at 550-570 nm, which did not surpass 3% in samples with high ChI concentration (\u3e20 mg m-3), indicating a strong absorption by pigments in the green range of the spectrum; (iii) a minimum at 676 nm; this was ~ 1 % and was almost insensitive to variation in ChI concentration \u3e10 mg m-3; (iv) a maximum reflectance showed near 700 nm; its magnitude and position were highly dependent on chlorophyll concentration. Highspectral- resolution data were used as a guideline for selection of the most suitable spectral bands for chlorophyll remote sensing. Models were devised, based on the calculation of the integrated area above the baseline from 670 to 850 nm and the reflectance maximal height within this range. Some algorithms already used in previous studies were tested and showed a plausible degree of accuracy when applied to the current data base. However, novel models devised in this study improved substantially the accuracy of ChI estimation by remotely sensed data, by reducing the estimation error from \u3e11 to 6.5 mg m-3. Those models were validated by an independent data set where ChI concentration ranged over two orders of magnitude. The use of three relatively narrow spectral bands was sufficient for ChI mapping in Lake Kinneret. Therefore, a relatively simple sensor, measuring only a few bands will be employed in future applications for ChI monitoring in inland waters. Radiometric data were also used to simulate radiances in the channels of TM Landsat and to find the algorithm for ChI assessment. The ratio of channel 4 to channel 3 was used and enabled ChI estimation with an error of \u3c15 mg\u3em-3. This algorithm was employed to map ChI in the entire area of Lake Kinneret with 10 gradations.
机译:在密集的单鞭毛的Peridinium gatunense种群主导浮游植物期间,从Kinneret湖获得了400-850 nm范围内的高分辨率反射光谱。在两个独立实验的样品中,叶绿素(ChI)浓度范围为5.1至185 mg m-3和2.4至187.5 mg m-3。反射光谱的最突出特征是:(i)400至500 nm的最小值; (ii)在550-570 nm处的最大值,在高ChI浓度(\ u3e20 mg m-3)的样品中不超过3%,表明在绿色光谱范围内颜料强烈吸收; (iii)676 nm处的最小值;这约为1%,并且对ChI浓度\ u3e10 mg m-3的变化几乎不敏感; (iv)最大反射率显示在700 nm附近;其大小和位置高度依赖于叶绿素浓度。高光谱分辨率的数据用作选择最合适的叶绿素遥感光谱带的指南。根据对基线以上670至850 nm的积分面积的计算以及该范围内的反射率最大高度来设计模型。对先前研究中已经使用的一些算法进行了测试,并显示出适用于当前数据库的准确性。但是,在这项研究中设计的新颖模型通过将估计误差从\ u3e11减少到6.5 mg m-3,大大提高了遥感数据对ChI估计的准确性。这些模型通过独立的数据集进行了验证,其中ChI浓度范围超过两个数量级。在Kinneret湖中,三个相对较窄的光谱带足以用于ChI映射。因此,在内陆水域的ChI监测的未来应用中,将使用仅测量几个频带的相对简单的传感器。辐射数据还用于模拟TM Landsat通道中的辐射,并找到用于ChI评估的算法。使用通道4与通道3的比率并启用ChI估计,误差为\ u3c15 mg \ u3em-3。该算法用于绘制10个渐变的Kinneret湖整个区域的ChI。

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