Advances in vegetation structure modelling using remote sensing to support the acquisition of sustainable development goals through forest management

Abstract

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].