From Satellite to Supply Chain: New Approaches Connect Earth Observation to Economic Decisions

Daniel Moran; Stefan Giljum; Keiichiro Kanemoto; Javier Godar

doi:10.1016/j.oneear.2020.06.007

From Satellite to Supply Chain: New Approaches Connect Earth Observation to Economic Decisions

Daniel Moran, Stefan Giljum, Keiichiro Kanemoto, Javier Godar

Publication: Scientific journal › Journal article › peer-review

75 Downloads (Pure)

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.

Original language	English
Pages (from-to)	5 - 8
Journal	One Earth
Volume	3
DOIs	https://doi.org/10.1016/j.oneear.2020.06.007
Publication status	Published - 2020

Access to Document

10.1016/j.oneear.2020.06.007Licence: Unspecified

Moran et al 2020 Post-PrintAccepted author manuscript, 642 KBLicence: Other

https://www.cell.com/action/showPdf?pii=S2590-3322%2820%2930296-7Licence: Unspecified

Check availability

University Library Catalogue

Cite this

@article{48736463c4df4173a652b1d26c2c6d8e,

title = "From Satellite to Supply Chain: New Approaches Connect Earth Observation to Economic Decisions",

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.",

author = "Daniel Moran and Stefan Giljum and Keiichiro Kanemoto and Javier Godar",

year = "2020",

doi = "10.1016/j.oneear.2020.06.007",

language = "English",

volume = "3",

pages = "5 -- 8",

journal = "One Earth",

issn = "2590-3322",

publisher = "Cell Press",

}

TY - JOUR

T1 - From Satellite to Supply Chain: New Approaches Connect Earth Observation to Economic Decisions

AU - Moran, Daniel

AU - Giljum, Stefan

AU - Kanemoto, Keiichiro

AU - Godar, Javier

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - https://api.elsevier.com/content/article/PII:S2590332220302967?httpAccept=text/xml

U2 - 10.1016/j.oneear.2020.06.007

DO - 10.1016/j.oneear.2020.06.007

M3 - Journal article

SN - 2590-3322

VL - 3

SP - 5

EP - 8

JO - One Earth

JF - One Earth

ER -

From Satellite to Supply Chain: New Approaches Connect Earth Observation to Economic Decisions

Abstract

Access to Document

Check availability

Other files and links

FINEPRINT: Spatially explicit material footprints: Fine-scale assessment of Europe's global environmental and social impacts

Cite this

From Satellite to Supply Chain: New Approaches Connect Earth Observation to Economic Decisions

Abstract

Access to Document

Check availability

Other files and links

Projects

FINEPRINT: Spatially explicit material footprints: Fine-scale assessment of Europe's global environmental and social impacts

Cite this