A framework for tracing the sources of nitrate in surface water through remote sensing data coupled with machine learning
Abstract As an integral component of the global nitrogen cycle, nitrate are readily transferred from urban sewage discharge, agricultural activities, and atmospheric sedimentation to surface water. This paper introduces an innovative framework that combines multi-source remote sensing technology wit...
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| Main Authors: | Di Tian, Xinfeng Zhao, Lei Gao, Tao Jiang, Zuobing Liang, Zaizhi Yang, Pengcheng Zhang, Qirui Wu, Kun Ren, Chenchen Yang, Rui Li, Shaoheng Li, Yingjie Cao, Yingxue Xuan, Jianyao Chen, Aiping Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Clean Water |
| Online Access: | https://doi.org/10.1038/s41545-025-00473-3 |
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