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Classification trees: an alternative to traditional land cover classifiers
Abstract
Abstract Classification trees are a powerful alternative to more traditional approaches of land cover classification. Trees provide a hierarchical and nonlinear classification method and are suited to handling non-parametric training data as well as categorical or missing data. By revealing the predictive hierarchical structure of the independent variables, the tree allows for great flexibility in data analysis and interpretation. In this Letter, we compare a tree' s performance to that of a maximum likelihood classifier using a 1° by 1° global data sel. The tree's accuracy in classifying a validation dala set is comparable to that when using maximum likelihood (82 per cent). The tree also may be used to reduce the dimensionality of data sets and to find those metrics that are most useful for discriminating among cover types.
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Citations
Cited by
Prasad, A. M., Iverson, L. R., & Liaw, A. (2006) · Ecosystems · doi:10.1007/s10021-005-0054-1 · Cited by 1,987
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
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Hansen, M. C., Krylov, A., Tyukavina, A., Potapov, P. V., Turubanova, S., Zutta, B., Ifo, S., Margono, B., Stolle, F., & Moore, R. (2016) · Environmental Research Letters · doi:10.1088/1748-9326/11/3/034008 · Cited by 303
Self-citationMapping 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
Self-citationMapping Selective Logging in Mixed Deciduous Forest
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Metadata
- Authors
- HANSEN, M., DUBAYAH, R., & DEFRIES, R.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1996-03
- Volume
- 17
- Issue
- 5
- Pages
- 1075-1081
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2038951852
- Cited by
- 433
- References
- 0
- FWCI
- 22.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- HANSEN, M., DUBAYAH, R., & DEFRIES, R. (1996). Classification trees: an alternative to traditional land cover classifiers. International Journal of Remote Sensing. https://doi.org/10.1080/01431169608949069
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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.
