The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
Wu, Y. (1999) · Technometrics · doi:10.1080/00401706.1999.10485951 · Cited by 27,221
Classification and Regression Trees.
Ryzin, J. V., Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (1986) · Journal of the American Statistical Association · doi:10.2307/2288003 · Cited by 20,825
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
Breiman, L. (1996) · Machine Learning · doi:10.1007/bf00058655 · Cited by 16,325
A method for the solution of certain non-linear problems in least squares
Levenberg, K. (1944) · Quarterly of Applied Mathematics · doi:10.1090/qam/10666 · Cited by 12,359
Classification and regression trees
Praagman, J. (1985) · European Journal of Operational Research · doi:10.1016/0377-2217(85)90321-2 · Cited by 10,053
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
Cited by
Inglada, J., Vincent, A., Arias, M., Tardy, B., Morin, D., & Rodes, I. (2017) · Remote Sensing · doi:10.3390/rs9010095 · Cited by 481
Self-citationZhang, H. K., & Roy, D. P. (2017) · Remote Sensing of Environment · doi:10.1016/j.rse.2017.05.024 · Cited by 346
Kellenberger, B., Marcos, D., & Tuia, D. (2018) · Remote Sensing of Environment · doi:10.1016/j.rse.2018.06.028 · Cited by 335
Wei, Z., Meng, Y., Zhang, W., Peng, J., & Meng, L. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.02.022 · Cited by 257
Self-Supervised Spatio-Temporal Representation Learning of Satellite Image Time Series
Dumeur, I., Valero, S., & Inglada, J. (2024) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2024.3358066 · Cited by 39
Self-citation
Metadata
- Authors
- Pelletier, C., Valero, S., Inglada, J., Champion, N., & Dedieu, G.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 187
- Pages
- 156-168
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2531168480
- Cited by
- 630
- References
- 64
- FWCI
- 44.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas. https://app.cochat.ai/papers/10.1016/j.rse.2016.10.010
- The paper
- Pelletier, C., Valero, S., Inglada, J., Champion, N., & Dedieu, G. (2016). Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2016.10.010
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.
