jmus2235 / MEE_Spatial_Temporal_Sampling_Design

R, Python and JavaScript code for the the National Ecological Observatory Network’s Airborne Observation Platform (AOP) sampling design and publication, "Spanning Scales: The Airborne Spatial and Temporal Sampling Design of the National Ecological Observatory Network"

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Phenology-Cloud-Fractions-from-Satellite-Data (R, JavaScript, Python)

  1. MODIS and VIIRS phenology and phenophase transition date estimation code
  2. MODIS cloud fraction estimation code
  3. Monte Carlo simulation code to determine cloud-free probabilities

Acknowledgements

The National Ecological Observatory Network is a project solely funded by the National Science Foundation and managed under cooperative agreement by Battelle. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

License

Creative Commons Zero v1.0 Universal

Disclaimer

Information and documents contained within this repository are available as-is. Codes or documents, or their use, may not be supported or maintained under any program or service and may not be compatible with data currently available from the NEON Data Portal.

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R, Python and JavaScript code for the the National Ecological Observatory Network’s Airborne Observation Platform (AOP) sampling design and publication, "Spanning Scales: The Airborne Spatial and Temporal Sampling Design of the National Ecological Observatory Network"

License:Creative Commons Zero v1.0 Universal


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Language:R 57.4%Language:JavaScript 42.6%