51. Satellite estimation of dissolved organic carbon in eutrophic Lake Taihu, China
- Author
-
Qitao Xiao, Dong Liu, Hongtao Duan, Shujie Yu, and Tianci Qi
- Subjects
010504 meteorology & atmospheric sciences ,Terrigenous sediment ,0208 environmental biotechnology ,Heterotroph ,Soil Science ,Flux ,Geology ,02 engineering and technology ,01 natural sciences ,Substrate (marine biology) ,020801 environmental engineering ,Carbon cycle ,Environmental chemistry ,Phytoplankton ,Dissolved organic carbon ,Environmental science ,Computers in Earth Sciences ,Eutrophication ,0105 earth and related environmental sciences ,Remote sensing - Abstract
Dissolved organic carbon (DOC) in lakes serves as a substrate for heterotrophic bacterial growth, a regulator of the global carbon cycle, and a light absorption agent. DOC in eutrophic lakes is greatly influenced by phytoplankton phenology and terrigenous input by rivers. Therefore, it is necessary and significant to dynamically monitor the concentration, storage, and riverine exchange flux of DOC. By using in-situ DOC measurements from 2004 until 2018 (N = 2019), a machine learning algorithm, namely, a multilayer back-propagation neural network (MBPNN) model, was developed in this work to improve the remote sensing estimation of DOC concentrations in eutrophic Lake Taihu. The model yielded a mean estimation error of 15.14% for the testing dataset. The monthly mean DOC concentration significantly increased from 2003 to 2018 (N = 192, p
- Published
- 2021