Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975

Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022

Published:2023-10 Issue: Volume:86 Page:104250
ISSN:0301-4207
Container-title:Resources Policy
language:en
Short-container-title:Resources Policy

Author:

Pandey Dharen Kumar^ORCID,Hunjra Ahmed Imran^ORCID,Bhaskar Ratikant^ORCID,Al-Faryan Mamdouh Abdulaziz Saleh^ORCID

Publisher

Elsevier BV

Subject

Law,Management, Monitoring, Policy and Law,Economics and Econometrics,Sociology and Political Science

Reference192 articles.

1. Combining geographical information system (GIS) and machine learning to monitor and predict vegetation vulnerability: an empirical study on nijhum dwip, Bangladesh;Abdullah;Ecol. Eng.,2022

2. Multicriteria decision analysis and participatory decision support systems in forest management;Acosta;Forests,2017

3. Mapping vegetation species succession in a mountainous grassland ecosystem using Landsat, ASTER MI, and Sentinel-2 data;Adagbasa;PLoS One,2022

4. Improving accuracy evaluation of Landsat-8 OLI using image composite and multisource data with Google Earth Engine;Adepoju;Rem. Sens. Lett.,2020

5. The role of stakeholder engagement in sustainable water resource management in South Africa;Adom;Nat. Resour. Forum,2022

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