GLAFT 1.0.0

GLAFT v1.0.0 corresponds to the version used in the article "GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking," published in The Cryosphere (https://doi.org/10.5194/tc-17-4063-2023).

GLAcier Feature Tracking testkit (GLAFT) is a Python package for assessing and benchmarking feature-tracked glacier velocity maps derived from satellite imagery. To be compatible with as many feature-tracking tools as possible, GLAFT analyzes velocity maps (and optional reliability files used as weight) and calculates two metrics based on statistics and ice flow dynamics. Along with GLAFT’s visualization tools, users can intercompare the quality of velocity maps processed by different methods and parameter sets. In the GLAFT publication, we further provide a guideline for optimizing glacier velocity maps by comparing the calculated metrics to an ideal threshold value.

GLAFT is an open sourced project and is hosted on Github (https://github.com/whyjz/GLAFT). All documentation and
cloud-executable demos are deployed as Jupyter Book pages (https://whyjz.github.io/GLAFT/).

GLAFT 1.0.0-a

The alpha release of GLAFT v1.0.0 corresponds to the version used in the revised manuscript "GLAcier Feature Tracking testkit (GLAFT): A statistically- and physically-based framework for evaluating glacier velocity products derived from satellite image feature tracking," published in The Cryosphere Discuss (https://doi.org/10.5194/tc-2023-38).

GLAcier Feature Tracking testkit (GLAFT) is a Python package for assessing and benchmarking feature-tracked glacier velocity maps derived from satellite imagery. To be compatible with as many feature-tracking tools as possible, GLAFT analyzes velocity maps (and optional reliability files used as weight) and calculates two metrics based on statistics and ice flow dynamics. Along with GLAFT’s visualization tools, users can intercompare the quality of velocity maps processed by different methods and parameter sets. In the GLAFT publication, we further provide a guideline for optimizing glacier velocity maps by comparing the calculated metrics to an ideal threshold value.

GLAFT is an open sourced project and is hosted on Github (https://github.com/whyjz/GLAFT). All documentation and
cloud-executable demos are deployed as Jupyter Book pages (https://whyjz.github.io/GLAFT/).

GLAFT 0.2.0

This is the first public release of GLAFT, the GLAcier Feature Tracking testkit.

GLAFT is based on the scientific Python ecosystem and focuses on calculating the metrics and benchmarking glacier velocity products derived using the feature tracking technique. To be compatible with most feature tracking tools, GLAFT aims to process only the most common and essential products, which are the velocity maps (and optional input of reliability file used as weight). GLAFT also provides visualization tools for the derived metrics, making scientific communication much easier.

GLAFT is an open-source project with all source code hosted on Github (https://github.com/whyjz/GLAFT). Users can find relevant documentation and cloud-executable demos in the same repository and on its Jupyter Book-based Github pages (https://whyjz.github.io/GLAFT/).

Version 0.2.0 is used in the submitted manuscript "GLAcier Feature Tracking testkit (GLAFT): A statistically- and physically-based framework for evaluating glacier velocity products derived from satellite image feature tracking."