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  1. Bayesian_LSP Bayesian_LSP Public

    A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

    R 45 11

  2. McGregor-et-al-2024 McGregor-et-al-2024 Public

    Code and sample data for McGregor et al., 2024

    R 4

  3. tutorialHPC tutorialHPC Public

    R 3 1

  4. commonCode commonCode Public

    A place for common code functions for SEAL

    Python 1

  5. flux_modis_paper flux_modis_paper Public

    Source code and some data used to reproduce the paper.

    R 1 2

  6. sealR sealR Public

    R package for common R code from Spatial Ecosystem Analytics Lab at NCSU

    R 1

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  • Bayesian_LSP Public

    A Bayesian hierarchical model that quantifies long-term annual land surface phenology from sparse time series of vegetation indices.

    ncsuSEAL/Bayesian_LSP’s past year of commit activity
    R 45 11 0 0 Updated Nov 17, 2024
  • sealWebsite Public
    ncsuSEAL/sealWebsite’s past year of commit activity
    TeX 0 MIT 3 0 0 Updated Nov 1, 2024
  • McGregor-et-al-2024 Public

    Code and sample data for McGregor et al., 2024

    ncsuSEAL/McGregor-et-al-2024’s past year of commit activity
    R 4 0 0 0 Updated Jun 24, 2024
  • tutorialHPC Public
    ncsuSEAL/tutorialHPC’s past year of commit activity
    R 3 1 0 0 Updated Mar 24, 2024
  • commonCode Public

    A place for common code functions for SEAL

    ncsuSEAL/commonCode’s past year of commit activity
    Python 1 0 0 0 Updated Nov 15, 2023
  • spikeR Public

    Fast c++ routines for time series outlier removal (🚧 wip)

    ncsuSEAL/spikeR’s past year of commit activity
    R 0 MIT 0 0 0 Updated Oct 29, 2023
  • sealR Public

    R package for common R code from Spatial Ecosystem Analytics Lab at NCSU

    ncsuSEAL/sealR’s past year of commit activity
    R 0 1 0 0 Updated Sep 10, 2023
  • flux_modis_paper Public

    Source code and some data used to reproduce the paper.

    ncsuSEAL/flux_modis_paper’s past year of commit activity
    R 1 MIT 2 0 0 Updated Mar 6, 2023

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