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Yingnian Li

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Articles

Monitoring of carbon-water fluxes at Eurasian meteorological stations using random forest and remote sensing - Scientific Data

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By Mingjuan Xie, Xiaofei Ma, Yuangang Wang, Chaofan Li, Haiyang Shi, Wenqiang Zhang, Chen Zhang, Qing Ling, Ruixiang Gao, Yu Zhang, Amaury Frankl, Nina Buchmann, Jørgen Olesen, Adrien Jacotot, Ankit Shekhar, Annalea Lohila, Arnaud Carrara, Carole Helfter, Christian Bernhofer, Christian Brümmer, Christian Wille, Eeva-Stiina Tuittila, Franco Meggio, Georg H. Niedrist, Georg Wohlfahrt, Janusz Olejnik, Joachim Jansen, Katja Klumpp, Leif Klemedtsson, Lukas Hörtnagl, Marek Urbaniak, Marius Schmidt, Matthew Saunders, Mika Aurela, Mingyuan Du, Nadia Vendrame, Natalia Kowalska, Paul Leahy, Silvano Fares, Thomas Friborg, Torsten Sachs, Andrea Pitacco, Andrej Varlagin, Bart Kruijt, Ignacio Goded, Thomas Gruenwald, Johan Neirynck, Juha-Pekka Tuovinen, Luca Tezza, Marilyn Roland, Mika Korkiakoski, Peili Shi, Per Weslien, Tomomichi Kato, Uta Moderow, Yingnian Li
| Nature Verified
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.
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