The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
Open accessAbstract
The Google Earth Engine (GEE) portal provides enhanced opportunities for undertaking earth observation studies. Established towards the end of 2010, it provides access to satellite and other ancillary data, cloud computing, and algorithms for processing large amounts of data with relative ease. However, the uptake and usage of the opportunity remains varied and unclear. This study was undertaken to investigate the usage patterns of the Google Earth Engine platform and whether researchers in developing countries were making use of the opportunity. Analysis of published literature showed that a total of 300 journal papers were published between 2011 and June 2017 that used GEE in their research, spread across 158 journals. The highest number of papers were in the journal Remote Sensing, followed by Remote Sensing of Environment. There were also a number of papers in premium journals such as Nature and Science. The application areas were quite varied, ranging from forest and vegetation studies to medical fields such as malaria. Landsat was the most widely used dataset; it is the biggest component of the GEE data portal, with data from the first to the current Landsat series available for use and download. Examination of data also showed that the usage was dominated by institutions based in developed nations, with study sites mainly in developed nations. There were very few studies originating from institutions based in less developed nations and those that targeted less developed nations, particularly in the African continent.
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Cites
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.06.031 · Cited by 14,719
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
Xiong, J., Thenkabail, P. S., Gumma, M. K., Teluguntla, P., Poehnelt, J., Congalton, R. G., Yadav, K., & Thau, D. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.01.019 · Cited by 488
Lost Science in the Third World
Gibbs, W. W. (1995) · Scientific American · doi:10.1038/scientificamerican0895-92 · Cited by 471
Scientific publishing in developing countries: Challenges for the future
Salager-Meyer, F. (2008) · Journal of English for Academic Purposes · doi:10.1016/j.jeap.2008.03.009 · Cited by 456
Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine
Huang, H., Chen, Y., Clinton, N., Wang, J., Wang, X., Liu, C., Gong, P., Yang, J., Bai, Y., Zheng, Y., et al. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.02.021 · Cited by 441
Huntington, J. L., Hegewisch, K. C., Daudert, B., Morton, C. G., Abatzoglou, J. T., McEvoy, D. J., & Erickson, T. (2017) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-15-00324.1 · Cited by 363
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Self-citationDuque, R. B., Ynalvez, M., Sooryamoorthy, R., Mbatia, P., Dzorgbo, D.-B. S., & Shrum, W. (2005) · Social Studies of Science · doi:10.1177/0306312705053048 · Cited by 175
Johansen, K., Phinn, S., & Taylor, M. F. J. (2015) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2015.06.002 · Cited by 149
Cited by
Google Earth Engine Applications
Mutanga, O., & Kumar, L. (2019) · Remote Sensing · doi:10.3390/rs11050591 · Cited by 600
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Metadata
- Authors
- Kumar, L., & Mutanga, O.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2018-09-20
- Volume
- 10
- Issue
- 10
- Pages
- 1509
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2890225206
- Cited by
- 785
- References
- 14
- FWCI
- 23.11
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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