Understanding preprocessing codes
The Preprocessing codes host all the preprocessing algorithms utilized by the GCBM Chile Data Pre-Processing project. The code is hosted on the Preprocessing_Codes sub-directory of the repository and allows developers to concentrate on running individual simulations on the input dataset and retrieve the necessary output. In this section, we would delve deep into the individual code file and understand them.
Listing all Preprocessing Codes
All the individual code files should be run using R Studio which
abstracts away complex configurations and package management. You can
primarily run run_all.R present on the repository root, to run all
the processing codes.
Preprocessing Code Name |
Description |
Preprocessing Code Source |
|---|---|---|
Install packages |
Install the necessary packages using the checkpoint package. |
|
Temperature layer |
Process the CR2 temperature product to obtain the mean temperature layer (1997-2016). |
|
Growth Curves |
Build the Growth curves using the Annual Growth values for each forest type. |
|
Inventory layer |
Create the inventory layer (initial layer). |
|
Afforestation layer |
Create the afforestation layer: Land use changes from non-forest to forest. |
|
Forest loss layer |
Create the deforestation and substitution layers. |
|
Forest degradation layer |
Create the degradation layers and disturbance matrix values. |
|
Forest enhancement layer |
Create the forest enhancement layers and add the new growth curves. |
Official Preprocessing Codes
The Preprocessing Code files describe the packages needed, folder paths, parameters, layers and the core algorithm organized in a separate single unit. You can run each of the Preprocessing codes individually, provided the folder paths are configured correctly as described in the installation.