Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields

Author:

Bolin David,Lindström Johan,Eklundh Lars,Lindgren Finn

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference41 articles.

1. Agbu, P., James, M., 1994. The NOAA/NASA Pathfinder AVHRR Land Data Set User’s Manual. Goddard Distributed Active Archive Center, NASA, Goddard Space Flight Center, Greenbelt

2. Bayesian image restoration, with two applications in spatial statistics (with discussion);Besag;Annals of the Institute of Statistical Mathematics,1991

3. Bolin, D., 2007. Estimating vegetation trends in the African Sahel using Gaussian Markov random fields. Master’s thesis, Lund University, Lund, LUTFMS–3090–2007

4. Improving the estimation of noise from NOAA AVHRR NDVI for Africa using geostatistics;Chappell;International Journal of Remote Sensing,2001

5. Statistics for Spatial Data;Cressie,1991

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