RT info:eu-repo/semantics/article T1 Advances in vegetation structure modelling using remote sensing to support the acquisition of sustainable development goals through forest management A1 Lamelas, María Teresa A1 Domingo Ruiz, Darío K1 Forest management K1 Bosques - Gestión K1 Forests and forestry K1 Bosques y silvicultura K1 Sustainable development K1 Desarrollo sostenible K1 Remote sensing K1 Teledetección K1 3106 Ciencia Forestal K1 3106.08 Silvicultura K1 3312 Tecnología de Materiales AB Forest ecosystems cover 31% of the world [1], providing a wide range of essential ecosystem services in terms of climate and hydrological regulation, biodiversity protection, timber and food production, or recreation, as well as others. However, forests are subject to changes due to natural hazards and anthropogenic pressures, which are predicted to increase under current climate change and socio-economic demands. Sustainable forest management is paramount to reaching two sustainable development goals (SDGs) set out to be achieved in the 2030 Agenda: take actions for the environment by combatting climate change (Goal 13), and protect, restore, and promote the sustainable use of terrestrial ecosystems (Goal 15). Current and future forestry practices rely on quantitative and qualitative information traditionally collected using field-based surveys, and increasingly complemented or surrogated with remote sensing datasets. [Texto extraído del artículo de Darío Domingo Ruiz]. PB MDPI SN 2072-4292 YR 2023 FD 2023 LK https://uvadoc.uva.es/handle/10324/66831 UL https://uvadoc.uva.es/handle/10324/66831 LA eng NO Remote Sensing, 2023, Vol. 15, Nº. 18, 4589 NO Producción Científica DS UVaDOC RD 18-dic-2024