Secchi depth inversion and its temporal and spatial variation analysis—A case study of nine plateau lakes in Yunnan Province of China
Secchi depth (SD) can directly reflect the state of lake water quality, and it is the key to control and improve the lake environment at mastering long-term and large-scale. In this research, deep neural networks algorithm was used to derive SD of 9 major plateau lakes in Yunnan Province from Januar...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-08-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243421000519 |