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Trends and applications of google earth engine in remote sensing and earth science research: a bibliometric analysis using scopus database.

Authors :
Pham-Duc, Binh
Nguyen, Ho
Phan, Hien
Tran-Anh, Quan
Source :
Earth Science Informatics; Sep2023, Vol. 16 Issue 3, p2355-2371, 17p
Publication Year :
2023

Abstract

Since its official establishment in 2010, Google Earth Engine (GEE) has developed rapidly and has played a significant role in the global remote sensing community. A bibliometric analysis was conducted on 1995 peer-reviewed articles related to GEE, indexed in the Scopus database up to December 2022 to investigate its trends and main applications. Our main findings are as follows: (1) The number of GEE-related articles has increased rapidly, with nearly 85% of them published in the last three years; (2) The top three domains where GEE has been extensively applied are earth and planetary sciences, environmental science, and agricultural and biological sciences. The majority of GEE-related articles were authored by scholars from China and the US, accounting for 58% of the total, with US scholars having the largest impact on the community, contributing to over 50% of the total citations; (3) Remote Sensing published the highest number of articles (26.82%), whereas Remote Sensing of Environment received the highest number of citations (30.40%); (4) The applications of GEE covered a broad range of topics, with a focus on land applications, water resource applications, climate change, and crop mapping; (5) Landsat imagery were the most popular and widely used dataset; and (6) Random forest, decision trees, support vector machines were the most commonly used machine learning algorithms in GEE. Although having a few limitations, this type of analysis should be conducted regularly to observe the development of this field on a regular basis, as the number of publications related to GEE is expected to continue to increase strongly in the coming years. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18650473
Volume :
16
Issue :
3
Database :
Complementary Index
Journal :
Earth Science Informatics
Publication Type :
Academic Journal
Accession number :
170397308
Full Text :
https://doi.org/10.1007/s12145-023-01035-2