Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing
Abstract Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting o...
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| 主要な著者: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2023-09-01
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| シリーズ: | Scientific Data |
| オンライン・アクセス: | https://doi.org/10.1038/s41597-023-02473-9 |
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