The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Design and Analysis for Thematic Map Accuracy Assessment
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Citations
Cites
A review of assessing the accuracy of classifications of remotely sensed data
Congalton, R. G. (1991) · Remote Sensing of Environment · doi:10.1016/0034-4257(91)90048-b · Cited by 7,724
Model Assisted Survey Sampling
Särndal, C.-E., Swensson, B., & Wretman, J. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4378-6 · Cited by 3,386
Selecting and interpreting measures of thematic classification accuracy
Stehman, S. V. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(97)00083-7 · Cited by 1,729
Self-citationAlexander, J. (1926) · Chemical Catalog eBooks · Cited by 627
The pixel: A snare and a delusion
Fisher, P. (1997) · International Journal of Remote Sensing · doi:10.1080/014311697219015 · Cited by 525
Theory and methods for accuracy assessment of thematic maps using fuzzy sets
Gopal, S., & Woodcock, C. E. (1994) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · Cited by 312
Practical handbook of spatial statistics
(1996) · Choice Reviews Online · doi:10.5860/choice.34-0975 · Cited by 188
Sample size for ground and remotely sensed data
Curran, P. J., & WILLIAMSON, H. D. (1986) · Remote Sensing of Environment · doi:10.1016/0034-4257(86)90012-x · Cited by 130
Determining successional stage of temperate coniferous forests with Landsat satellite data
Fiorella, M., & Ripple, W. J. (1993) · NASA STI Repository (National Aeronautics and Space Administration) · Cited by 117
Cibula, W. G., & Nyquist, M. O. (1987) · Photogrammetric Engineering & Remote Sensing · Cited by 75
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
Ibrahim Mahmoud, M., Duker, A., Conrad, C., Thiel, M., & Shaba Ahmad, H. (2016) · Remote Sensing · doi:10.3390/rs8030220 · Cited by 105
Verhegghen, A., Kuzelova, K., Syrris, V., Eva, H., & Achard, F. (2022) · Remote Sensing · doi:10.3390/rs14061522 · Cited by 22
Tauro, R., Manrique, S., Franch-Pardo, I., Charre-Medellin, J. F., Ortega-Riascos, C. E., Soria-González, J. A., & Armendáriz-Arnez, C. (2023) · Environment, Development and Sustainability · doi:10.1007/s10668-023-03762-4 · Cited by 5
Metadata
- Authors
- Stehman, S. V., & Czaplewski, R. L.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 1998-06
- Volume
- 64
- Issue
- 3
- Pages
- 331-344
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2137155271
- Cited by
- 710
- References
- 12
- FWCI
- 47.82
- 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.
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How to cite
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- CoChat. (2026). Citation check: Design and Analysis for Thematic Map Accuracy Assessment. https://app.cochat.ai/papers/10.1016/s0034-4257(98)00010-8
- The paper
- Stehman, S. V., & Czaplewski, R. L. (1998). Design and Analysis for Thematic Map Accuracy Assessment. Remote Sensing of Environment. https://doi.org/10.1016/s0034-4257(98)00010-8
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.
