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Bayesian_lsp ⭐ 37

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

R client for the National Phenology Network database API

Rtimesat ⭐ 16

R package: Extract Remote Sensing Vegetation Phenology by TIMESAT V3.3 Fortran library

A final production version of the DDRP platform that includes cohorts, parallel processing, and improving mapping routines. The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-li

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