TCF_mapping

Mapping terrestrial carbon fluxes TCF (GPP and NPP)

Author: Pablo Reyes-Muñoz

Code: Pablo Reyes-Muñoz

Workflow for mapping TCF from the synergy of Sentinel-3, Sentinel-5P and ERA-5 through Google Earth Engine, from the paper "Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models".

1. Please, click the link below to get access to the Google Colab repo (a GEE account is required): https://colab.research.google.com/drive/1kHm8wb9d_Luc8SnDO9-xnGj233S32DTV?usp=sharing or download the source code available in this site (TCF_mapping / main).



The code is formed by a set of Python functions as shown in the Google colab example

2. Define the location of your predictors inputs data sets (S3 vegetation, TROPOSIF and ERA-5-LAND)


3. Run all the ancillary functions.


4. The compose_image function format the predictors input for the GPR function below


5. Calculate_Green function is the core of the GPR algorithm implemented in GEE


6. The map_loop function iterates over the defined temporal windows

For training and exporting customized models from ARTMO to GEE , please follow the guidelines in https://github.com/msalinero/ARTMOtoGEE.git

A workflow in Python to produce time series mapping over a region of interest can be found in this link