The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform
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Citations
Cites
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
McFEETERS, S. K. (1996) · International Journal of Remote Sensing · doi:10.1080/01431169608948714 · Cited by 7,725
(2005) · PubMed · Cited by 7,011
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
Congalton, R., & Green, K. (1998) · Mapping Science · doi:10.1201/9781420048568 · Cited by 3,424
Good practices for estimating area and assessing accuracy of land change
Olofsson, P., Foody, G. M., Herold, M., Stehman, S. V., Woodcock, C. E., & Wulder, M. A. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.02.015 · Cited by 3,078
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Zha, Y., Gao, J., & Ni, S. (2003) · International Journal of Remote Sensing · doi:10.1080/01431160304987 · Cited by 2,910
Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
Foody, G. (2010) · The Photogrammetric Record · doi:10.1111/j.1477-9730.2010.00574_2.x · Cited by 2,806
Global land cover mapping at 30 m resolution: A POK-based operational approach
Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., He, C., Han, G., Peng, S., Lu, M., et al. (2015) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2014.09.002 · Cited by 2,049
Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
Pontius, R. G., & Millones, M. (2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2011.552923 · Cited by 2,046
GLC2000: a new approach to global land cover mapping from Earth observation data
Bartholomé, E., & Belward, A. S. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160412331291297 · Cited by 1,798
Liu, X., Liang, X., Li, X., Xu, X., Ou, J., Chen, Y., Li, S., Wang, S., & Pei, F. (2017) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2017.09.019 · Cited by 1,744
Self-citation
Cited by
High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015
Liu, X., Huang, Y., Xu, X., Li, X., Li, X., Ciais, P., Lin, P., Gong, K., Ziegler, A. D., Chen, A., et al. (2020) · Nature Sustainability · doi:10.1038/s41893-020-0521-x · Cited by 874
Self-citationFifty years of Landsat science and impacts
Wulder, M. A., Roy, D. P., Radeloff, V. C., Loveland, T. R., Anderson, M. C., Johnson, D. M., Healey, S., Zhu, Z., Scambos, T. A., Pahlevan, N., et al. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2022.113195 · Cited by 771
Herndon, K. E., Griffin, R., Schroder, W., Murtha, T., Golden, C., Contreras, D. A., Cherrington, E., Wang, L., Bazarsky, A., Kollias, G. V., et al. (2023) · Journal of Archaeological Science: Reports · doi:10.1016/j.jasrep.2023.104094 · Cited by 21
Metadata
- Authors
- Liu, X., Hu, G., Chen, Y., Li, X., Xu, X., Li, S., Pei, F., & Wang, S.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2018-05
- Volume
- 209
- Pages
- 227-239
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2793327769
- Cited by
- 608
- References
- 35
- FWCI
- 40.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. https://app.cochat.ai/papers/10.1016/j.rse.2018.02.055
- The paper
- Liu, X., Hu, G., Chen, Y., Li, X., Xu, X., Li, S., Pei, F., & Wang, S. (2018). High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2018.02.055
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.
