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Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Kim, Yeonuk;  Johnson, Mark S.;  Knox, Sara H.;  Black, T. Andrew;  Dalmagro, Higo J.;  Kang, Minseok;  Kim, Joon;  Baldocchi, Dennis
收藏  |  浏览/下载：17/0  |  提交时间：2019/11/27
artificial neural network  comparison of gap-filling techniques  eddy covariance  machine learning  marginal distribution sampling  methane flux  random forest  support vector machine  
Changes in timing of seasonal peak photosynthetic activity in northern ecosystems 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (7) : 2382-2395
作者:  Park, Taejin;  Chen, Chi;  Macias-Fauria, Marc;  Tommervik, Hans;  Choi, Sungho;  Winkler, Alexander;  Bhatt, Uma S.;  Walker, Donald A.;  Piao, Shilong;  Brovkin, Victor;  Nemani, Ramakrishna R.;  Myneni, Ranga B.
收藏  |  浏览/下载：20/0  |  提交时间：2019/11/27
carbon cycle  climate change  climate constraint  earth system model  eddy covariance  gross primary productivity  law of minimum  photosynthetic seasonality  remote sensing