Google Earth Engine and artificial intelligence for SDGs

  • Yusuf A. Aina
  • , Syed Masiur Rahman
  • , Shamsudeen Temitope Yekeen
  • , Abdulwaheed Tella
  • , Bijoy Mitra
  • , Mohammed Sakib Uddin
  • , Abdul lateef Balogun

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The applications of Google Earth Engine (GEE) and Artificial Intelligence (AI) in fostering environmental sustainability, and the broader sustainable development goals (SDGs), have generated a lot of interest since the introduction of the cloud platform. This review examines the different aspects of SDGs that GEE and AI have been applied, including sustainable cities (SDG 11), water resources management and health (SDG three and 6), energy and climate action (SDG 7 and 13), and ecosystem services and land management (SDG 15). It exemplifies the data (satellite images) and the algorithms being used in monitoring and assessing environmental factors and conditions, including SDGs, for better management. The review highlights the challenges and opportunities created by the use of GEE. In conclusion, it briefly discusses the future outlook of integrating GEE and AI into environmental analysis for sustainable society.

Original languageEnglish
Title of host publicationGoogle Earth Engine and Artificial Intelligence for Earth Observation
Subtitle of host publicationAlgorithms and Sustainable Applications
PublisherElsevier
Pages115-131
Number of pages17
ISBN (Electronic)9780443273728
ISBN (Print)9780443273735
DOIs
StatePublished - 1 Jan 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier Ltd. All rights reserved.

Keywords

  • Artificial intelligence
  • Environmental assessment
  • Geospatial data science
  • Google earth engine
  • Sustainable development goals
  • Urban sustainability

ASJC Scopus subject areas

  • General Engineering
  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'Google Earth Engine and artificial intelligence for SDGs'. Together they form a unique fingerprint.

Cite this