Spatio-temporal deep learning workflows for transforming remote sensing data into geo-indicators for environmental policy support KU Leuven
Data-driven environmental indicators are necessary to tackle the challenges of the climate and biodiversity crises and to measure progress towards global targets such as the UN Sustainable Development Goals (SDGs). At present, governmental agencies mainly invest in ground-based networks to monitor the status of our ecosystems and the environmental pressures they face. In Flanders, ground-based monitoring networks have been designed recently ...