Examination of geostatistical and machine-learning techniques as interpolators in anisotropic atmospheric environments
Tài liệu tham khảo
Ackerman, 2004
Bernard, 2002
Brus, 1996, The performance of spatial interpolation methods and choropleth maps to estimate properties at points: a soil survey case study, Environmetrics, 7, 1, 10.1002/(SICI)1099-095X(199601)7:1<1::AID-ENV157>3.0.CO;2-Y
Carvalho, 2007, Neural network based models for the retrieval of methane concentration vertical profiles from remote sensing data, 6437
Chiles, 2012
Hengl, 2007, 143
Li, 2008
Openshaw, 1997
Raftery, 2005, Using Bayesian model averaging to calibrate forecast ensembles, Mon. Weather Rev., 133, 1155, 10.1175/MWR2906.1
Rizzo, 1994, Characterization of acquifier properties using artificial neural networks: neural kriging, Water Resour. Res., 30, 483, 10.1029/93WR02477
Tadić, 2014, A comparison of in-situ aircraft measurements of carbon dioxide and methane to GOSAT data measured over Railroad Valley playa, Nevada, USA, IEEE Trans. Geosci. Remote Sens., 52, 10.1109/TGRS.2014.2318201
2014
2014