Google Earth Engine: empowering developing countries with large-scale geospatial data analysis—a comprehensive review

Vijayakumar, Shanmugam; Saravanakumar, Ravisankar; Arulanandam, Mariadoss; Ilakkiya, S.

doi:10.1007/s12517-024-11948-x

Arab J Geosci

2024

DOI: 10.1007/s12517-024-11948-x

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Google Earth Engine: empowering developing countries with large-scale geospatial data analysis—a comprehensive review

Shanmugam Vijayakumar,

Ravisankar Saravanakumar,

Mariadoss Arulanandam

et al.

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2024

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Cited by 4 publications

References 92 publications

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A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine

Hasan,

Kapoor,

Singh

et al. 2024

Environ Monit Assess

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A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine

Hasan,

Kapoor,

Singh

et al. 2024

Environ Monit Assess

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Pixel interlacing network: a novel approach for multiclass and subcategories land cover change detection

Bhattad,

Patel,

Patel

et al. 2024

Earth Sci Inform

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Research Progress in the Application of Google Earth Engine for Grasslands Based on a Bibliometric Analysis

Mashaba-Munghemezulu,

Nduku,

Munghemezulu

et al. 2024

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Grasslands cover approximately 40% of the Earth’s surface. Thus, they play a pivotal role in supporting biodiversity, ecosystem services, and human livelihoods. These ecosystems provide crucial habitats for specialized plant and animal species, act as carbon sinks to mitigate climate change, and are vital for agriculture and pastoralism. However, grasslands face ongoing threats from certain factors, like land use changes, overgrazing, and climate change. Geospatial technologies have become indispensable to manage and protect these valuable ecosystems. This review focuses on the application of Google Earth Engine (GEE) in grasslands. The study presents a bibliometric analysis of research conducted between 2016–2023. Findings from the analysis reveal a significant growth in the use of GEE and different remote sensing products for grassland studies. Most authors reported grassland degradation in most countries. Additionally, China leads in research contributions, followed by the United States and Brazil. However, the analysis highlights the need for greater involvement from developing countries, particularly in Africa. Furthermore, it highlights the global distribution of research efforts, emphasizes the need for broader international participation.

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Google Earth Engine: empowering developing countries with large-scale geospatial data analysis—a comprehensive review

Cited by 4 publications

References 92 publications

A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine

A state-of-the-art review on the quantitative and qualitative assessment of water resources using google earth engine

Pixel interlacing network: a novel approach for multiclass and subcategories land cover change detection

Research Progress in the Application of Google Earth Engine for Grasslands Based on a Bibliometric Analysis

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