The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Continuous change detection and classification of land cover using all available Landsat data
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
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
A review of methods for the assessment of prediction errors in conservation presence/absence models
FIELDING, A. H., & BELL, J. F. (1997) · Environmental Conservation · doi:10.1017/s0376892997000088 · Cited by 6,956
Robust regression using iteratively reweighted least-squares.
Holland, P. W., & Welsch, R. E. (1977) · Communications in Statistics - Theory and Methods · doi:10.1080/03610927708827533 · Cited by 2,115
Cited by
Phan, T. N., Kuch, V., & Lehnert, L. W. (2020) · Remote Sensing · doi:10.3390/rs12152411 · Cited by 616
Zhao, K., Wulder, M. A., Hu, T., Bright, R., Wu, Q., Qin, H., Li, Y., Toman, E., Mallick, B., Zhang, X., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.034 · Cited by 514
Overall Methodology Design for the United States National Land Cover Database 2016 Products
Jin, S., Homer, C., Yang, L., Danielson, P., Dewitz, J., Li, C., Zhu, Z., Xian, G., & Howard, D. (2019) · Remote Sensing · doi:10.3390/rs11242971 · Cited by 322
Self-citationSatellite Remote Sensing Contributions to Wildland Fire Science and Management
Chuvieco, E., Aguado, I., Salas, J., García, M., Yebra, M., & Oliva, P. (2020) · Current Forestry Reports · doi:10.1007/s40725-020-00116-5 · Cited by 259
Mapping tree height distributions in Sub-Saharan Africa using Landsat 7 and 8 data
Hansen, M. C., Potapov, P. V., Goetz, S. J., Turubanova, S., Tyukavina, A., Krylov, A., Kommareddy, A., & Egorov, A. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.02.023 · Cited by 144
Metadata
- Authors
- Zhu, Z., & Woodcock, C. E.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 144
- Pages
- 152-171
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2055718260
- Cited by
- 1,803
- References
- 4
- FWCI
- 94.05
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Continuous change detection and classification of land cover using all available Landsat data. https://app.cochat.ai/papers/10.1016/j.rse.2014.01.011
- The paper
- Zhu, Z., & Woodcock, C. E. (2014). Continuous change detection and classification of land cover using all available Landsat data. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2014.01.011
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.
