中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共3条，第1-3条 帮助

限定条件                                
已选(0)清除 条数/页：   排序方式：
Patterns of population displacement during mega-fires in California detected using Facebook Disaster Maps 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Jia, Shenyue;  Kim, Seung Hee;  Nghiem, Son, V;  Doherty, Paul;  Kafatos, Menas C.
收藏  |  浏览/下载：13/0  |  提交时间：2020/08/18
Facebook disaster maps  crowdsourced data  social media  Mann-Kendall trend  anomaly analysis  wildfires  California  
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：8/0  |  提交时间：2020/07/02
flash flood  risk  flood damage  machine learning  
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：9/0  |  提交时间：2019/11/27
machine learning  deep learning  predictive analytics  artificial intelligence  environmental management  big Data  remote sensing