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Machine learning and artificial intelligence to aid climate change research and preparedness 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)
作者:  Huntingford, Chris;  Jeffers, Elizabeth S.;  Bonsall, Michael B.;  Christensen, Hannah M.;  Lees, Thomas;  Yang, Hui
收藏  |  浏览/下载：15/0  |  提交时间：2020/02/17
climate change  global warming  extreme weather  drought  artificial intelligence  machine learning  climate simulations  
Perceptions of emerging biotechnologies 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Azodi, Christina B.;  Dietz, Thomas
收藏  |  浏览/下载：8/0  |  提交时间：2020/02/17
biotechnology  public opinion  values  machine learning  
Evaluation and machine learning improvement of global hydrological model-based flood simulations 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Yang, Tao;  Sun, Fubao;  Gentine, Pierre;  Liu, Wenbin;  Wang, Hong;  Yin, Jiabo;  Du, Muye;  Liu, Changming
收藏  |  浏览/下载：9/0  |  提交时间：2020/02/17
flood simulation  machine learning  global hydrological model  long short-term memory  
Satellite-detected gain in built-up area as a leading economic indicator 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Ying, Qing;  Hansen, Matthew C.;  Sun, Laixiang;  Wang, Lei;  Steininger, Marc
收藏  |  浏览/下载：8/0  |  提交时间：2020/02/17
leading economic indicator  built-up area  anthropogenic bare ground gain  global and regional scale  the great recession  spatio-temporal dynamics  landsat  
Mid-20th century warming hole boosts US maize yields 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Partridge, Trevor F.;  Winter, Jonathan M.;  Liu, Lin;  Kendall, Anthony D.;  Basso, Bruno;  Hyndman, David W.
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
climate impacts  warming hole  agriculture  machine learning  
High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (9)
作者:  Huang, Wenli;  39;Neil-Dunne, Jarlath
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
forest aboveground biomass  carbon monitoring system  lidar  forest inventory analysis  Maryland  Delaware  Pennsylvania  
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  
Benchmark estimates for aboveground litterfall data derived from ecosystem models 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (8)
作者:  Li, Shihua;  Yuan, Wenping;  Ciais, Philippe;  Viovy, Nicolas;  Ito, Akihiko;  Jia, Bingrui;  Zhu, Dan
收藏  |  浏览/下载：11/0  |  提交时间：2019/11/27
aboveground litterfall production  leaf area index  random forest  ecosystem model  
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (7)
作者:  Sun, Alexander Y.;  Scanlon, Bridget R.
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
machine learning  deep learning  predictive analytics  artificial intelligence  environmental management  big Data  remote sensing  
The effects of climate extremes on global agricultural yields 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (5)
作者:  Vogel, Elisabeth;  Donat, Markus G.;  Alexander, Lisa, V;  Meinshausen, Malte;  Ray, Deepak K.;  Karoly, David;  Meinshausen, Nicolai;  Frieler, Katja
收藏  |  浏览/下载：11/0  |  提交时间：2019/11/26
agriculture  crop yields  extreme weather events  random forest  machine learning