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Physics-Constrained Machine Learning of Evapotranspiration 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019
作者:  Zhao, Wen Li;  Gentine, Pierre;  Reichstein, Markus;  Zhang, Yao;  Zhou, Sha;  Wen, Yeqiang;  Lin, Changjie;  Li, Xi;  Qiu, Guo Yu
收藏  |  浏览/下载：16/0  |  提交时间：2020/02/17
machine learning  physics constrained  evapotranspiration  FLUXNET  energy conservation  generalizations  
The Application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Time Series 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (21) : 11850-11858
作者:  Anantrasirichai, N.;  Biggs, J.;  Albino, F.;  Bull, D.
收藏  |  浏览/下载：6/0  |  提交时间：2020/02/17
Interferometric Synthetic Aperture Radar  machine learning  detection  deformation  
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：11/0  |  提交时间：2019/11/27
aboveground litterfall production  leaf area index  random forest  ecosystem model  
Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (13) : 7395-7403
作者:  Ren, C. X.;  Dorostkar, O.;  Rouet-Leduc, B.;  Hulbert, C.;  Strebel, D.;  Guyer, R. A.;  Johnson, P. A.;  Carmeliet, J.
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/27
A revised above-ground maximum biomass layer for the Australian continent 期刊论文
FOREST ECOLOGY AND MANAGEMENT, 2019, 432: 264-275
作者:  Roxburgh, Stephen H.;  Karunaratne, Senani B.;  Paul, Keryn I.;  Lucas, Richard M.;  Armston, John D.;  Sun, Jingyi
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
Forest biomass  Random forest  Carbon accounting  National greenhouse gas inventory