Corpus ID: 221640953

A Bayesian hierarchical model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images

@article{Babcock2020ABH,
  title={A Bayesian hierarchical model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images},
  author={C. Babcock and Andrew O. Finley and Nathaniel Looker},
  journal={arXiv: Applications},
  year={2020}
}
  • C. Babcock, Andrew O. Finley, Nathaniel Looker
  • Published 2020
  • Mathematics
  • arXiv: Applications
  • We develop a Bayesian Land Surface Phenology (LSP) model and examine its performance using Enhanced Vegetation Index (EVI) observations derived from the Harmonized Landsat Sentinel-2 (HLS) dataset. Building on previous work, we propose a double logistic function that, once couched within a Bayesian model, yields posterior distributions for all LSP parameters. We assess the efficacy of the Normal, Truncated Normal, and Beta likelihoods to deliver robust LSP parameter estimates. Two case studies… CONTINUE READING

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