1. Remote retrieval of dissolved organic carbon in rivers using a hyperspectral drone system
- Author
-
Xingjian Guo, Hao Liu, Pu Zhong, Zhongzheng Hu, Zhigang Cao, Ming Shen, Zhenyu Tan, Weixin Liu, Chengzhao Liu, Dexin Li, and Hongtao Duan
- Subjects
DOC monitoring ,hyperspectral UAV ,random forest regression ,water quality ,remote sensing ,Mathematical geography. Cartography ,GA1-1776 - Abstract
ABSTRACTRivers act as the principal channels for transporting terrigenous dissolved organic carbon (DOC) to lakes and reservoirs. Satellite remote sensing-based river monitoring is difficult due to the narrow river form and high spatiotemporal heterogeneity of DOC components. The unique advantages of unmanned aerial vehicles (UAVs) facilitate river DOC concentration monitoring. The DOC concentration in 8 major tributaries (average width: 109.62 m) and shoreside of the Lake Chaohu Basin were retrieved via a hyperspectral UAV. The results showed that (1) the DOC concentration was significantly correlated with the water remote sensing reflectance ([Formula: see text]) of 402, 429-438, 440–451 and 458–462 nm in the blue band (r2: 0.11 to 0.13; p
- Published
- 2024
- Full Text
- View/download PDF