Leveraging Big Data and Analytics to Improve Food, Energy, and Water System Sustainability.

FEWs GIS decision support systems models ecosystems sustainability

Journal

Frontiers in big data
ISSN: 2624-909X
Titre abrégé: Front Big Data
Pays: Switzerland
ID NLM: 101770603

Informations de publication

Date de publication:
2020
Historique:
received: 21 05 2019
accepted: 17 03 2020
entrez: 11 3 2021
pubmed: 12 3 2021
medline: 12 3 2021
Statut: epublish

Résumé

With the world population projected to grow significantly over the next few decades, and in the presence of additional stress caused by climate change and urbanization, securing the essential resources of food, energy, and water is one of the most pressing challenges that the world faces today. There is an increasing priority placed by the United Nations (UN) and US federal agencies on efforts to ensure the security of these critical resources, understand their interactions, and address common underlying challenges. At the heart of the technological challenge is

Identifiants

pubmed: 33693388
doi: 10.3389/fdata.2020.00013
pmc: PMC7931953
doi:

Types de publication

Journal Article

Langues

eng

Pagination

13

Informations de copyright

Copyright © 2020 Pitts, Gopal, Ma, Koch, Boumans and Kaufman.

Références

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Auteurs

Joshua Pitts (J)

Global Development Policy Center, Boston University, Boston, MA, United States.

Sucharita Gopal (S)

Global Development Policy Center, Boston University, Boston, MA, United States.
Department of Earth & Environment, Boston University, Boston, MA, United States.
Center for Remote Sensing, Boston University, Boston, MA, United States.

Yaxiong Ma (Y)

Department of Earth & Environment, Boston University, Boston, MA, United States.

Magaly Koch (M)

Center for Remote Sensing, Boston University, Boston, MA, United States.

Roelof M Boumans (RM)

Afordable Futures, Charlotte, VT, United States.

Les Kaufman (L)

Department of Biology, Boston University, Boston, MA, United States.

Classifications MeSH