The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach
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Citations
Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
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A Tutorial on Support Vector Machines for Pattern Recognition
Burges, C. J. C. (1998) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009715923555 · Cited by 16,429
Libsvm : A library for support vector machines
Ferrari, V. (2008) · Medical Entomology and Zoology · Cited by 10,122
Friedman, J., Hastie, T., & Tibshirani, R. (2000) · The Annals of Statistics · doi:10.1214/aos/1016218223 · Cited by 6,884
The Nature of Statistical Learning Theory
Sain, S. R. (1996) · Technometrics · doi:10.1080/00401706.1996.10484565 · Cited by 5,434
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., & Huang, X. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.016 · Cited by 3,473
Self-citationRandom forest classifier for remote sensing classification
Pal, M. (2005) · International Journal of Remote Sensing · doi:10.1080/01431160412331269698 · Cited by 3,283
Cited by
Zhu, X., Cai, F., Tian, J., & Williams, T. (2018) · Remote Sensing · doi:10.3390/rs10040527 · Cited by 523
Zhang, P., Gong, M., Su, L., Liu, J., & Li, Z. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2016.02.013 · Cited by 294
Applications and impacts of Google Earth: a decadal review (2006–2016)
Liang, J., Gong, J., & Li, W. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.08.019 · Cited by 135
Lyu, H., Lu, H., Mou, L., Li, W., Wright, J., Li, X., Li, X., Zhu, X., Wang, J., Yu, L., et al. (2018) · Remote Sensing · doi:10.3390/rs10030471 · Cited by 70
Cotugno, A., Smith, V., Baker, T., & Srinivasan, R. (2021) · Remote Sensing · doi:10.3390/rs13193806 · Cited by 16
Metadata
- Authors
- Schneider, A.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2012-09
- Volume
- 124
- Pages
- 689-704
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2014970225
- Cited by
- 443
- References
- 65
- FWCI
- 39.60
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach. https://app.cochat.ai/papers/10.1016/j.rse.2012.06.006
- The paper
- Schneider, A. (2012). Monitoring land cover change in urban and peri-urban areas using dense time stacks of Landsat satellite data and a data mining approach. Remote Sensing of Environment. https://doi.org/10.1016/j.rse.2012.06.006
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.