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docs/about.md

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ThRasE has been adopted by research teams, monitoring programs, and mapping projects worldwide for diverse applications including manual post-processing to correct land-use/land-cover misclassifications via photo-interpretation of satellite image mosaics {cite}`vallet:2024,rayner:2022`; knowledge-based manual correction of misclassifications and residual errors {cite}`rayner:2021effects,senterre:2023,bladh:2024`; manual classification/reclassification of pixels for land-cover reconstruction to reconcile multi-date imagery {cite}`gunawan:2023`; annotation of historical aerial imagery for model calibration and fine-tuning {cite}`eyster:2024`; as a validation/visual QA step {cite}`hariyanto:2024`; refinement of agricultural maps {cite}`gandharum:2025,rayner:2021historical`; among other applications {cite}`hariyanto:2022,dupuy:2024,queiroga:2020,nunes:2024`.
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Author and developer: *Xavier C. Llano* *<xavier.corredor.llano@gmail.com>*
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Author and developer: *Xavier C. Llano* *<xavier.corredor.llano@gmail.com>*
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Theoretical support, testing, and product verification: SMByC-PDI group

docs/registry.md

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> This comprehensive record supports workflows where transparency and reproducibility are critical, allowing you to verify corrections, trace your decisions, and export change logs for documentation or review purposes.
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```{note}
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This comprehensive record supports workflows where transparency and reproducibility are critical, allowing you to verify corrections, trace your decisions, and export change logs for documentation or review purposes.
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```
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```{tip}
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Enable the highlight feature to visualize your editing progress across the map. This helps ensure you haven't accidentally skipped areas or concentrated edits in one region while neglecting others.

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