Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data

DOI10.1080/02664763.2019.1681384OpenAlexW2980619698MaRDI QIDQ5037080

Leiqiu Hu, Matthew J. Heaton, Gavin Q. Collins

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1681384

zbMATH Keywords

Bayesian hierarchical modelareal datadiurnal cyclesatellite observationsspatial basis functions

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Robust smoothing of gridded data in one and higher dimensions with missing values
• Robust inventory control under demand and lead time uncertainty
• A case study competition among methods for analyzing large spatial data
• Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models

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