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Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载：15/0  |  提交时间：2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven  
Sentinel-1 observation frequency significantly increases burnt area detectability in tropical SE Asia 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (5)
作者:  Carreiras, Joao M. B.;  Quegan, Shaun;  Tansey, Kevin;  Page, Susan
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
burnt area  tropics  Sentinel-1  radar  machine learning  Indonesia  
Predicting spatial and temporal variability in crop yields: an inter-comparison of machine learning, regression and process-based models 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (4)
作者:  Leng, Guoyong;  Hall, Jim W.
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/02
climate change  crop yield  machine learning  statistical model  crop model  
Machine-Learning-Based Analysis of the Guy-Greenbrier, Arkansas Earthquakes: A Tale of Two Sequences 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (6)
作者:  Park, Yongsoo;  Mousavi, S. Mostafa;  Zhu, Weiqiang;  Ellsworth, William L.;  Beroza, Gregory C.
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
induced seismicity  earthquake cataloging  machine learning  
Rapid Characterization of the July 2019 Ridgecrest, California, Earthquake Sequence From Raw Seismic Data Using Machine-Learning Phase Picker 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (4)
作者:  Liu, Min;  Zhang, Miao;  Zhu, Weiqiang;  Ellsworth, William L.;  Li, Hongyi
收藏  |  浏览/下载：9/0  |  提交时间：2020/07/02
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  
Improving Atmospheric River Forecasts With Machine Learning 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019
作者:  Chapman, W. E.;  Subramanian, A. C.;  Delle Monache, L.;  Xie, S. P.;  Ralph, F. M.
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/27
atmospheric river  machine learning  convolutional neural network  postprocess  forecasting  
Food flows between counties in the United States 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (8)
作者:  Lin, Xiaowen;  Ruess, Paul J.;  Marston, Landon;  Konar, Megan
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/27
food flows  networks  algorithm development  
First Effort at Constructing a High-Density Photosynthetically Active Radiation Dataset during 1961-2014 in China 期刊论文
JOURNAL OF CLIMATE, 2019, 32 (10) : 2761-2780
作者:  Qin, Wenmin;  Wang, Lunche;  Zhang, Ming;  Niu, Zigeng;  Luo, Ming;  Lin, Aiwen;  Hu, Bo
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/26
Atmosphere  Asia  Radiative forcing  Shortwave radiation  Data processing  Databases  
High-resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (6) : 2964-2983
作者:  Hashimoto, Hirofumi;  Wang, Weile;  Melton, Forrest S.;  Moreno, Adam L.;  Ganguly, Sangram;  Michaelis, Andrew R.;  Nemani, Ramakrishna R.
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/26
daily surface climate  machine learning  NEX-GDM  precipitation  random forest  solar radiation and wind speed  temperature