CalcBiomass is a Python project which allows us to calculate the vegetation biomass from LiDAR Data of a given area from some operations performed.
This notebook has been adapted from the original pipeline to be parallelized using serverless functions, thanks to the tool called Lithops, which allows us to perform all the computation and storage of our process in the cloud in a safe and simple way.
This way of working allows us to make a much faster and more efficient computation being able to obtain data on larger areas of the world in a shorter period of time.
- To have an a runtime to use the libraries of the project.
- To have an .asc or geotiff file of the area to be scanned and processed.
- To have the file SJER_Biomass_Training.csv to be able to carry out the training of our predictors.
- Have an account in one of the supported clouds.