Projekte pro Jahr
Abstract
Global supply chains shift environmental and social impacts of consumption to remote locations. This opacity challenges many sustainability goals. To help businesses and governments realize more sustainable supply chains, new approaches are using spatial data and machine-learning techniques to connect Earth observation data to conventional economic tools.
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 5 - 8 |
Fachzeitschrift | One Earth |
Jahrgang | 3 |
DOIs | |
Publikationsstatus | Veröffentlicht - 2020 |
Projekte
- 1 Abgeschlossen
-
FINEPRINT: Spatially explicit material footprints: Fine-scale assessment of Europe's global environmental and social impacts
Giljum, S. (Projektleitung), Bruckner, M. (Forscher*in), Gutschlhofer, J. (Forscher*in), Kuschnig, N. (Forscher*in), Lieber, M. (Forscher*in), Luckeneder, S. (Forscher*in), Lutter, F. S. (Forscher*in), Wegner Maus, V. (Forscher*in), Wieland, H. (Forscher*in) & Konrad, V. (Kontaktperson für administrative Abwicklung)
1/07/17 → 31/12/22
Projekt: Forschungsförderung