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Jupyter notebooks and data for the Senseco Summer School, 2021 in Plovdiv, Bulgaria

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SENSECO_School_2021

Jupyter notebooks and data for the Senseco Summer School, 2021 in Plovdiv, Bulgaria

Instructions to run "seamlessly"

  1. Download zip file, unzip to a folder in your computer.
  2. Go to your google drive and create a SENSECO folder (on the root)
  • Copy the contents of the SENSECO folder in your computer to your google drive accordingly
  1. Copy the folder: SENSECO_S2Data to your google drive (on the root)

Confirm the following folder structure on your google drive:

/Senseco/Models/

/Senseco/Outputs/

/Senseco/Shapefiles/ (in this folder, you should make sure all the shapefiles are on it)

/Senseco_S2Data/ (this folder should have everything that came with the zip file on it)

  • Run the various google colab books following the numerical order

Otherwise

  1. You need to adapt the paths on your scripts to the following folders:
  • S2_Responses_S2A.csv - Used to generate Synthetic S2 data

  • CLBJ Boundary_Square_Small.shp (et al) - Used to fetch the S2 images in GEE, crop them, and download them to your google drive (provided)

  • NEON_DHP_Centroids_UTM14N.shp (et al) - Used to extract the values of LAI and Ch from the final predictions

  1. Adapt the numerous locations where the path to a file is used in the loops. These use the filename to fetch the "date" of acquisition for example.

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Jupyter notebooks and data for the Senseco Summer School, 2021 in Plovdiv, Bulgaria

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