The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
An assessment of the effectiveness of a random forest classifier for land-cover classification
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
Random forests for classification in ecology
Cutler, D. R., Edwards, T. C., Beard, K. H., Cutler, A., Hess, K. T., Gibson, J., & Lawler, J. J. (2007) · Ecology · doi:10.1890/07-0539.1 · Cited by 4,950
Hansen, L. K., & Salamon, P. (1990) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.58871 · Cited by 4,260
Support vector machines in remote sensing: a review
Mountrakis, G., Im, J., & Ogole, C. (2011) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2010.11.001 · Cited by 3,473
The emergence of land change science for global environmental change and sustainability
Turner, B. L., Lambin, E. F., & Reenberg, A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704119104 · Cited by 2,216
Combined climate and carbon-cycle effects of large-scale deforestation
Bala, G., Caldeira, K., Wickett, M., Phillips, T. J., Lobell, D. B., Delire, C., & Mirin, A. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0608998104 · Cited by 957
Sample size determination for image classification accuracy assessment and comparison
Foody, G. M. (2009) · International Journal of Remote Sensing · doi:10.1080/01431160903130937 · Cited by 248
Mapping Selective Logging in Mixed Deciduous Forest
Lippitt, C. D., Rogan, J., Li, Z., Eastman, J. R., & Jones, T. G. (2008) · Photogrammetric Engineering & Remote Sensing · doi:10.14358/pers.74.10.1201 · Cited by 56
Self-citation
Cited by
Rodriguez-Galiano, V., Sanchez-Castillo, M., Chica-Olmo, M., & Chica-Rivas, M. (2015) · Ore Geology Reviews · doi:10.1016/j.oregeorev.2015.01.001 · Cited by 1,576
Self-citationMachine learning and artificial intelligence to aid climate change research and preparedness
Huntingford, C., Jeffers, E. S., Bonsall, M. B., Christensen, H. M., Lees, T., & Yang, H. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4e55 · Cited by 469
Mapping flood susceptibility in mountainous areas on a national scale in China
Zhao, G., Pang, B., Xu, Z., Yue, J., & Tu, T. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.10.037 · Cited by 389
Building instance classification using street view images
Kang, J., Körner, M., Wang, Y., Taubenböck, H., & Zhu, X. X. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.02.006 · Cited by 365
Systematic Error Removal Using Random Forest for Normalizing Large-Scale Untargeted Lipidomics Data
Fan, S., Kind, T., Cajka, T., Hazen, S. L., Tang, W. H. W., Kaddurah-Daouk, R., Irvin, M. R., Arnett, D. K., Barupal, D. K., & Fiehn, O. (2019) · Analytical Chemistry · doi:10.1021/acs.analchem.8b05592 · Cited by 336
Metadata
- Authors
- Rodriguez-Galiano, V. F., Ghimire, B., Rogan, J., Chica-Olmo, M., & Rigol-Sanchez, J. P.
- Venue
- ISPRS Journal of Photogrammetry and Remote Sensing
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 67
- Pages
- 93-104
- ISSN
- 0924-2716 (ISSN-L)
- OpenAlex
- W2132424470
- Cited by
- 2,907
- References
- 10
- FWCI
- 63.89
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An assessment of the effectiveness of a random forest classifier for land-cover classification. https://app.cochat.ai/papers/10.1016/j.isprsjprs.2011.11.002
- The paper
- Rodriguez-Galiano, V. F., Ghimire, B., Rogan, J., Chica-Olmo, M., & Rigol-Sanchez, J. P. (2012). An assessment of the effectiveness of a random forest classifier for land-cover classification. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2011.11.002
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.
