The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Selecting and interpreting measures of thematic classification accuracy
Overview
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Citations
Cites
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Cited by
A survey of image classification methods and techniques for improving classification performance
Lu, D., & Weng, Q. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600746456 · Cited by 3,402
Ahmed, R., Sreeram, V., Mishra, Y., & Arif, M. D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109792 · Cited by 1,259
Design and Analysis for Thematic Map Accuracy Assessment
Stehman, S. V., & Czaplewski, R. L. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00010-8 · Cited by 710
Self-citationLiu, B. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbx165 · Cited by 322
Screening Chemicals for Estrogen Receptor Bioactivity Using a Computational Model
Browne, P., Judson, R. S., Casey, W. M., Kleinstreuer, N. C., & Thomas, R. S. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b02641 · Cited by 276
Metadata
- Authors
- Stehman, S. V.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 1997-10
- Volume
- 62
- Issue
- 1
- Pages
- 77-89
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W1976193075
- Cited by
- 1,729
- References
- 2
- FWCI
- 27.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Selecting and interpreting measures of thematic classification accuracy. https://app.cochat.ai/papers/10.1016/s0034-4257(97)00083-7
- The paper
- Stehman, S. V. (1997). Selecting and interpreting measures of thematic classification accuracy. Remote Sensing of Environment. https://doi.org/10.1016/s0034-4257(97)00083-7
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.
