Spatio-temporal statistical analysis of the carbon budget of the terrestrial ecosystem

DOI10.1007/s10260-015-0342-7zbMath1441.62570OpenAlexW1954825038MaRDI QIDQ290368

F. Blanchet-Sadri, M. Dambrine

Publication date: 1 June 2016

Published in: Statistical Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10260-015-0342-7

zbMATH Keywords

EM algorithmremote sensingcarbon dioxide concentrationsnet ecosystem exchangespatio-temporal smoothing

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12)

Related Items

Editorial: Advanced methods for space-time environmental data, Covariance tapering for multivariate Gaussian random fields estimation

Uses Software

• D-STEM

Cites Work

• Unnamed Item
• The kriged Kalman filter. (With discussion)
• Full-Scale Approximations of Spatio-Temporal Covariance Models for Large Datasets
• A dimension-reduced approach to space-time Kalman filtering
• Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets