Extraction and application of Forel-Ule index based on images from multiple sensors
WANG Yifei1,2,3,4,5(), GONG Zhaoning1,2,3,4(), ZHANG Yuan1,2,3,4, SU Shuo1,2,3,4
1. College of Resources, Environment and Tourism, Capital Normal University, Beijing 100048, China 2. Key Laboratory of 3D Information Acquisition and Application of Ministry, Beijing 100048, China 3. Beijing Key Laboratory of Resources Environment and GIS, Beijing 100048, China 4. Beijing Laboratory of Water Resources Security, Beijing 100048, China 5. Ministry of Ecology and Environment Center for Satellite Application onEcology and Environment, Beijing 100094, China
The quantitative characterization of water body color can provide important reference data for the comprehensive water quality assessment of inland lakes and reservoirs. The Guanting Reservoir is a large inland lake in North China. Based on FUI inversion using the seasonal-scale Sentinel-2 and Landsat 8 OLI reflectance data during 2016—2020, this study quantitatively analyzed the heterogeneous characteristics of Forel-Ule Index (FUI) of the Guanting Reservoir on the spatial, intra-annual, and inter-annual scales. To explore the coupling relationship between the FUI and the nutrient status of the water body, models were built using both hue angle α and FUI and the trophic status index (TSI). Moreover, this study demonstrated the comparability of FUI among different sensors and its application potential. The results are as follows. ① On the spatial scale, the FUI value was low at the center but high on the edge of the reservoir. ② On the seasonal scale within a year, the FUI value showed a trend of reaching the highest in winter, slightly decreasing in spring, reaching the lowest in summer, and rising again in autumn. ③ On the interannual scale, the FUI value in the latest three years was lower than that in the first two years during 2016—2020 and the water color changed accordingly from yellowish brown to yellowish green. These may be attributable to the effective governance of the Guanting Reservoir by the Beijing Municipal Government. ④ The Pearson correlation coefficient between TSI and α and that between TSI and FUI were -0.85 and 0.80, respectively, indicating a strong correlation between FUI and TSI. ⑤ The FUI values obtained through the inversion based on the Sentinel-2 and Landsat 8 OLI images of the same day were very approximate and were 13.04 and 13.16, respectively. This indicates that FUI is comparable between the images from different sensors. Therefore, the inversion of FUI can be achieved using the long time-series remote sensing data from multiple sensors. Meanwhile, FUI possesses notable application potential and advantages in the assessment of water quality and trophic status.
王一飞, 宫兆宁, 张园, 苏朔. 基于多源传感器的FUI水色指数提取与应用[J]. 自然资源遥感, 2021, 33(3): 262-271.
WANG Yifei, GONG Zhaoning, ZHANG Yuan, SU Shuo. Extraction and application of Forel-Ule index based on images from multiple sensors. Remote Sensing for Natural Resources, 2021, 33(3): 262-271.
Tab.2 基于波段线性插值的Sentinel-2,Landsat8 OLI 传感器色度角αM的Δα偏差校正多项式系数(a=αM/100)
Fig.5 基于实测叶绿素a浓度的TSI营养状态指数分别与色度角α及FUI的拟合
Fig.6 IOCCG模拟数据集(N=500)中的FUI与TSI之间的关系[32]
Fig.7 官厅水库FUI的季节性变化
Fig.8 官厅水库各季度FUI平均数值
Fig.9 Sentinel-2与Landsat8 OLI反演FUI指数结果对比
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2021, Vol. 33 
), 宫兆宁1,2,3,4(
