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"Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression" demo codes.

Guidelines and demo codes from the publication

https://doi.org/10.3390/rs14010146

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To add the GEE repository containing the scripts to your GEE accounte click below:

https://code.earthengine.google.com/?accept_repo=users/msalinero85/GPRPhenologyDemos

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The repository includes the following running demos:

  1. GPRPredictedMean: GPR predicted mean map generation for the entire S2 30TUM tile along with its RGB image.

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  1. GPRGapfilling: GPR gap-filling map generation for the entire S2 30TUM tile.

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  1. LSPGeneration: LSP metrics generation for the 30TUM tile with its visualization.

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Other important scripts contained in the repo:

  1. S2BOAModels: GPR models hyperparameters translated from ARTMO(matlab) to GEE.

  2. PhenologyFunctions: Double Logistic implementation and auxiliary functions to retrieve the LSP metrics.

  3. visualization: Parameters required for visualization (palettes, min, max...)

geegprphenodemos's People

Contributors

msalinero avatar

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