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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：11/0  |  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：10/0  |  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  
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：10/0  |  提交时间：2019/11/27
aboveground litterfall production  leaf area index  random forest  ecosystem model