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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  
Modeling spatial climate change landuse adaptation with multi-objective genetic algorithms to improve resilience for rice yield and species richness and to mitigate disaster risk 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (2)
作者:  Yoon, Eun Joo;  Thorne, James H.;  Park, Chan;  Lee, Dong Kun;  Kim, Kwang Soo;  Yoon, Heeyeun;  Seo, Changwan;  Lim, Chul-Hee;  Kim, Haeryung;  Song, Young-Il
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
scenario planning  landslides  economic value  landuse conversion  trade-offs  South Korea  
Machine learning to analyze the social-ecological impacts of natural resource policy: insights from community forest management in the Indian Himalaya 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (2)
作者:  Rana, Pushpendra;  Miller, Daniel C.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
forest policy  community forest management  forest livelihoods  deforestation  machine learning  impact evaluation