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Lichen cover mapping for caribou ranges in interior Alaska and Yukon 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (5)
作者:  Macander, Matthew J.;  Palm, Eric C.;  Frost, Gerald, V;  Herriges, Jim D.;  Nelson, Peter R.;  Roland, Carl;  Russell, Kelsey L. M.;  Suitor, Mike J.;  Bentzen, Torsten W.;  Joly, Kyle;  Goetz, Scott J.;  Hebblewhite, Mark
收藏  |  浏览/下载：17/0  |  提交时间：2020/07/02
arctic boreal vulnerability experiment  caribou  climate change  fire  lichen  remote sensing  shrubs  
Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Filippelli, Steven K.;  Falkowski, Michael J.;  Hudak, Andrew T.;  Fekety, Patrick A.;  Vogeler, Jody C.;  Khalyani, Azad Henareh;  Rau, Benjamin M.;  Strand, Eva K.
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/02
pinyon-juniper  woodland  aboveground biomass  canopy cover  encroachment  Great Basin  monitoring reporting and verification (MRV)  
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  
What is important for achieving 2 degrees C? UNFCCC and IPCC expert perceptions on obstacles and response options for climate change mitigation 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Kornek, Ulrike;  Flachsland, Christian;  Kardish, Chris;  Levi, Sebastian;  Edenhofer, Ottmar
收藏  |  浏览/下载：17/0  |  提交时间：2020/07/02
climate change mitigation  obstacles and responses  expert elicitation  agenda setting  
Detecting global urban expansion over the last three decades using a fully convolutional network 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (3)
作者:  He, Chunyang;  Liu, Zhifeng;  Gou, Siyuan;  Zhang, Qiaofeng;  Zhang, Jinshui;  Xu, Linlin
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
fully convolutional network  global urban expansion  deep learning  nighttime light data  vegetation index  land surface temperature  
Developing policy-relevant biodiversity indicators: lessons learnt from case studies in Africa 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (3)
作者:  Rochette, Anne-Julie;  Akpona, Jean Didier T.;  Akpona, Hugues Adeloui;  Akouehou, Gaston S.;  Kwezi, Blanchard Mayundo;  Djagoun, Chabi A. M. S.;  Habonimana, Bernadette;  Idohou, Rodrigue;  Legba, Ingride S.;  Nzigidahera, Benoit;  Matilo, Augustin Orou;  Taleb, Mohammed Sghir;  Bamoninga, Benjamin Toirambe;  Ivory, Sarah;  de Bisthoven, Luc Janssens;  Vanhove, Maarten P. M.
收藏  |  浏览/下载：19/0  |  提交时间：2019/04/09
science-policy interface  monitoring  reporting  verification  capacity building  biodiversity indicators  
Machine learning methods for crop yield prediction and climate change impact assessment in agriculture 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (11)
作者:  Crane-Droesch, Andrew
收藏  |  浏览/下载：3/0  |  提交时间：2019/04/09
agriculture  machine learning  climate change impacts  
Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (10)
作者:  Nowack, Peer;  Braesicke, Peter;  Haigh, Joanna;  Abraham, Nathan Luke;  Pyle, John;  Voulgarakis, Apostolos
收藏  |  浏览/下载：4/0  |  提交时间：2019/04/09
climate change  climate sensitivity  ozone  parameterization  machine learning  big data  climate modeling  
Expert assessments on the future of direct current in buildings 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (7)
作者:  Glasgo, Brock;  Azevedo, Ines Lima;  Hendrickson, Chris
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
direct current  expert elicitation  non-technical barriers  microgrid  codes  standards  
Temperature and humidity based projections of a rapid rise in global heat stress exposure during the 21st century 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2018, 13 (1)
作者:  Coffel, Ethan D.;  Horton, Radley M.;  de Sherbinin, Alex
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
climate change  heat stress  heat waves  climate impacts  population vulnerability