Machine learning reveals distinct aquatic organic matter patterns driven by soil erosion types
Chromophoric dissolved organic matter (CDOM), characterized by unique optical properties, is an essential indicator for understanding aquatic organic matter dynamics within global carbon cycles. Soil erosion, a major source of CDOM received by lakes, transports terrestrial organic matter to water bo...
Saved in:
| Main Authors: | Yingxin Shang, Kaishan Song, Zhidan Wen, Fengfa Lai, Ge Liu, Hui Tao, Xiangfei Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | Environmental Science and Ecotechnology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666498425000481 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Remote Sensing Estimation of CDOM for Songhua River of China: Distributions and Implications
by: Pengju Feng, et al.
Published: (2024-12-01) -
Dynamics of absorption properties of CDOM and its composition in Likas estuary, North Borneo, Malaysia
by: Saiyidah Munirah Mohd-Shazali, et al.
Published: (2022-10-01) -
Satellite estimation of pCO2 and quantification of CO2 fluxes in lakes in the context of climate change
by: Ruixue Zhao, et al.
Published: (2025-09-01) -
Assessing Drone-Based Remote Sensing for Monitoring Water Temperature, Suspended Solids and CDOM in Inland Waters: A Global Systematic Review of Challenges and Opportunities
by: Shannyn Jade Pillay, et al.
Published: (2024-12-01) -
Optical properties of CDOM and assessing eutrophication by remote sensing of CDOM in the Zhanjiang Bay, China
by: Yafeng Zhong, et al.
Published: (2025-05-01)