A reproducible, scalable and data-driven workflow for Sentinel-2 land cover classification — outperforming traditional desktop tools like QGIS SCP.
The research paper: https://arxiv.org/abs/2603.07819 codebase to reproduce the results. The Readme.md has links to the pre-trained models too.
Professional LiDAR analysis in R for tree detection, crown segmentation, forest metrics, and above-ground biomass estimation.
Protótipo de aplicação do modelo Pantropical de cálculo de biomassa, com processamento automático e visualização para desktop
Spatially constrained optimization algorithm for forest plot selection in QGIS.
Pachama is a San Francisco–based climate technology company founded in 2018 that built a satellite- and machine-learning-powered platform for monitoring, reporting, and verification (MRV) of nature-based carbon projects — including forest conservation, reforestation, afforestation, and improved forest management.
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