Code and data for "Forest structure and topography drive spatial variability in forest-canopy mortality forecasts"

Ganz, Keenan; van Wagtendonk, Liz; Khatri-Chhetri, Pratima; Moskal, L. Monika

doi:10.5281/zenodo.17644156

Code and data for "Forest structure and topography drive spatial variability in forest-canopy mortality forecasts"

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Ganz, Keenan, van Wagtendonk, Liz, Khatri-Chhetri, Pratima, Moskal, L. Monika

DOI: 10.5281/zenodo.17644156

Cited by: 0

Abstract

This release documents changes to the model training procedure and various figure tweaks. Specifically, we enabled bagging and random feature selection in the GBM training procedure. We also fixed an error where incorrect columns were passed to model training. Full Changelog: https://github.com/s-kganz/ForestLST/compare/v0.2...v0.3 Data Artifacts: https://github.com/s-kganz/ForestLST/releases/tag/v0.3

Publication details

Journal / source: Zenodo (CERN European Organization for Nuclear Research)
Publication date: 1 September 2026