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Estimation of global coastal sea level extremes using neural networks 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Bruneau, Nicolas;  Polton, Jeff;  Williams, Joanne;  Holt, Jason
收藏  |  浏览/下载：8/0  |  提交时间：2020/08/18
sea water anomaly  extremes  storm surges  GESLA database  machine learning  
Machine learning based estimation of land productivity in the contiguous US using biophysical predictors 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Yang, Pan;  Zhao, Qiankun;  Cai, Ximing
收藏  |  浏览/下载：10/0  |  提交时间：2020/08/18
land productivity  marginal land  land use  machine learning  
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  
Nation-wide estimation of groundwater redox conditions and nitrate concentrations through machine learning 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Knoll, Lukas;  Breuer, Lutz;  Bach, Martin
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
groundwater quality  nitrate pollution  redox conditions  random forest  uncertainty  large-scale  
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  
Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Wolanin, Aleksandra;  Mateo-Garcia, Gonzalo;  Camps-Valls, Gustau;  Gomez-Chova, Luis;  Meroni, Michele;  Duveiller, Gregory;  Liangzhi, You;  Guanter, Luis
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
wheat yield  Indian Wheat Belt  food security  remote sensing  explainable artificial intelligence (XAI)  deep learning (DL)  regression activation map (RAM)  
Leveraging machine learning for predicting flash flood damage in the Southeast US 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Alipour, Atieh;  Ahmadalipour, Ali;  Abbaszadeh, Peyman;  Moradkhani, Hamid
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
flash flood  risk  flood damage  machine learning  
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：6/0  |  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