The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Google Earth Engine Applications
Open accessAbstract
The Google Earth Engine (GEE) is a cloud computing platform designed to store and process huge data sets (at petabyte-scale) for analysis and ultimate decision making [...]
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Citations
Cites
Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
Kumar, L., & Mutanga, O. (2018) · Remote Sensing · doi:10.3390/rs10101509 · Cited by 785
Self-citationXiong, J., Thenkabail, P., Tilton, J., Gumma, M., Teluguntla, P., Oliphant, A., Congalton, R., Yadav, K., & Gorelick, N. (2017) · Remote Sensing · doi:10.3390/rs9101065 · Cited by 394
Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Homayouni, S., & Gill, E. (2018) · Remote Sensing · doi:10.3390/rs11010043 · Cited by 313
Robinson, N., Allred, B., Jones, M., Moreno, A., Kimball, J., Naugle, D., Erickson, T., & Richardson, A. (2017) · Remote Sensing · doi:10.3390/rs9080863 · Cited by 279
Traganos, D., Aggarwal, B., Poursanidis, D., Topouzelis, K., Chrysoulakis, N., & Reinartz, P. (2018) · Remote Sensing · doi:10.3390/rs10081227 · Cited by 200
Tsai, Y. H., Stow, D., Chen, H. L., Lewison, R., An, L., & Shi, L. (2018) · Remote Sensing · doi:10.3390/rs10060927 · Cited by 179
Regional Crop Gross Primary Productivity and Yield Estimation Using Fused Landsat-MODIS Data
He, M., Kimball, J. S., Maneta, M., Maxwell, B. D., Moreno‐Martínez, Á., Beguerı́a, S., & Wu, X. (2018) · Remote Sensing · doi:10.3390/rs10030372 · Cited by 165
Leveraging the Google Earth Engine for Drought Assessment Using Global Soil Moisture Data
Sazib, N., Mladenova, I., & Bolten, J. (2018) · Remote Sensing · doi:10.3390/rs10081265 · Cited by 161
Multitemporal Cloud Masking in the Google Earth Engine
Mateo‐García, G., Gómez‐Chova, L., Amorós-López, J., Muñoz-Marı́, J., & Camps‐Valls, G. (2018) · Remote Sensing · doi:10.3390/rs10071079 · Cited by 155
Global Estimation of Biophysical Variables from Google Earth Engine Platform
Campos‐Taberner, M., Moreno‐Martínez, Á., Garcı́a-Haro, F. J., Camps‐Valls, G., Robinson, N., Kattge, J., & Running, S. W. (2018) · Remote Sensing · doi:10.3390/rs10081167 · Cited by 137
Cited by
Stanton, M. C., Kalonde, P., Zembere, K., Hoek Spaans, R., & Jones, C. M. (2021) · Malaria Journal · doi:10.1186/s12936-021-03759-2 · Cited by 84
Metadata
- Authors
- Mutanga, O., & Kumar, L.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2019-03-12
- Volume
- 11
- Issue
- 5
- Pages
- 591
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2921701549
- Cited by
- 600
- References
- 18
- FWCI
- 21.87
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Google Earth Engine Applications. https://app.cochat.ai/papers/10.3390/rs11050591
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- Mutanga, O., & Kumar, L. (2019). Google Earth Engine Applications. Remote Sensing. https://doi.org/10.3390/rs11050591
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
