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ABSTRACT.- The replacement of native grasslands with commercial Eucalyptus plantations has increased in South America. These plantations are typically managed under short rotation regimes for pulp production. Since afforestation can enhance carbon sequestration, the accurate estimation of structural variables at large scales is valuable for sustainable forest management. This study integrates synthetic aperture radar (SAR, Sentinel-1), multispectral (Sentinel-2), soil-derived (International Soil Reference and Information Centre), and field-based data to model structural variables in Eucalyptus dunnii plantations on forest-priority soils (Aquic Argiudolls and Typic Albaqualfs)
in Uruguay. © 2025 Elsevier B.V.

BAIETTO, A., HIRIGOYEN, A., MAÑANA, M., RIZZO-MARTÍN, I., GONZÁLEZ, A., NAVARRO CERRILLO, R.
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0378-1127;eISSN: 1872-7042
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65235
null; Remote sensing; Random forest; Climate change; Intensive silviculture; SISTEMA FORESTAL - INIA.
Series
Forest Ecology and Management, 15 July 2025, Volume 588, 122759. https://doi.org/10.1016/j.foreco.2025.122759