Research Colabs
Documentation of Colab notebooks intended for researchers and advanced users
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Documentation of Colab notebooks intended for researchers and advanced users
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Last Updated: 2023-09-27
Very broadly, TimberID consists of a production-oriented web application that delivers insights about illegal logging both in reference to specific timber samples based on stable isotopes and in general. Insights about specific timber samples include fraud detection, which determines the likelihood that a set of isotope measurements from a timber sample originate from a given location. Together with our original research and prior work from leading researchers such as Professor Martinelli of the University of Sao Paulo (USP), these Colab notebooks justify our fraud detection methodology and produce the artifacts (isoscapes) that the fraud detection system requires to function.
For more information, see High Level Design.
The DDF common stub contains the ddfimport library, which loads DDF Common for development in Colab by cloning a Git repository and mounting it within the Colab host filesystem. There are two ways to import ddf_common:
ddfimport.ddf_source_control_pane()
ddfimport.ddf_import_common()
The first method opens a graphical source control pane in the Colab that integrates with GitHub and prompts developers to authenticate with their credentials. This is the best way to iterate on and contribute to the DDF Common code library.
Most users will want ddfimport.ddf_import_common() instead, which does not require user interaction but also does not facilitate committing changes to DDF Common.
This library contains utility functions that we use across various repositories, including these research Colabs. Key functionality includes:
Data partitioning
Fraud determination logic (hypothesis test)
Raster manipulation
Isoscape generation from a TensorFlow SavedModel
Script that uploads isoscapes to EarthEngine
Our research and fraud detection methodology is concentrated in , with helper functions in , and a small loader shim in to help manage the complexity of dependency management in Colab across multiple repositories. Additionally, contains some code that we use to experimentally validate our production logic for TimberID.
