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 08-ago-2024