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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：16/0  |  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  
Radiative forcing of methane fluxes offsets net carbon dioxide uptake for a tropical flooded forest 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (6) : 1967-1981
作者:  Dalmagro, Higo J.;  Zanella de Arruda, Paulo H.;  Vourlitis, George L.;  Lathuilliere, Michael J.;  Nogueira, Jose de S.;  Couto, Eduardo G.;  Johnson, Mark S.
收藏  |  浏览/下载：13/0  |  提交时间：2019/11/26
CH4 and CO2 fluxes  Eddy-covariance  global change  greenhouse gas balance  hyperseasonal savanna  net ecosystem carbon balance  tropical wetlands  
A contribution to harmonize water footprint assessments 期刊论文
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2018, 53: 252-264
作者:  Lathuilliere, Michael J.;  Bulle, Cecile;  Johnson, Mark S.
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
Water policy  Supply chains  Impact assessment  Sustainability assessment  Soybean  Brazil