A bibliometric analysis of urban environment quality studies based on satellite remote sensing data.

Autor: Sari, Nurwita Mustika, Kushardono, Dony, Manessa, Masita Dwi Mandini, Kustiyo, Mukhoriyah, Indradjad, Andy, Arifin, Samsul, Maryanto, Ahmad
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2941 Issue 1, p1-10, 10p
Abstrakt: Urban areas that are experiencing rapid development face various challenges, especially those related to climate change, population welfare and energy. One of the environmental quality studies is carried out using remote sensing-based ecological indexes. Bibliometric analysis has now developed into a widely used tool for viewing research trends globally. Research related to environmental sustainability, environmental quality and urban environment using bibliometric analysis has been carried out in various studies. This study attempts to conduct a bibliometric analysis of global research that examines the quality of the urban environment. With this analysis, it can be seen how the trends in global research regarding the quality of the urban environment are. This dataset includes 234 articles with keywords urban, environmental quality and remote sensing from 1979-2022 from the Scopus database. The bibliometric analysis was carried out using the R software, which is free software for statistical and graphical computing. The package used is bibliometrix. The results of the study indicate that global research trends related to remote sensing, environmental and urban quality can be identified, especially related to most relevant words, word cloud, trend topics and co-occurrence networks. Overall, research on this topic has increased, especially from 2007 to 2022. The country with the most research on this topic is China. The potential for other research that can still be developed can be seen from the co-occurrence network where there are gaps in terms related to urban heat phenomena, comparative analysis, quality assessment, surface temperature, spectral mixture, green space, GIS approach and multi temporal satellite. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index