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Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
Abstract
The past 10 years have brought amazing changes to the technologies used to turn remotely sensed data into maps. As a result, the principles and practices necessary for assessing the accuracy of those maps have also evolved and matured. This third edition of Assessing the Accuracy of Remotely Sensed Data: Principles and Practices is thoroughly updated and includes five new chapters. Now 15 chapters long, this text is the only one of its kind to provide geospatial analysts with the requisite considerations, tools, and theory necessary to conduct successful and efficient map accuracy assessments; and map users with the knowledge to fully understand the assessment process to ensure effective use of maps. See What’s New in the Third Edition: All original chapters have been updated to include new standards, practices, and methodologies. A new chapter on planning accuracy assessments. A new chapter on assessing maps created using object-based technologies. Two case study chapters - one showcasing the assessment of maps created from traditional methods, and one on the assessment of object-based maps. Emphasis on considering and planning for positional accuracy in concert with thematic accuracy. An appendix containing the internationally recognized ASPRS Positional Accuracy Standards. A new final chapter summarizing the key concepts, considerations and lessons learned by the authors in their decades of implementing and evaluating accuracy assessments. Assessing map accuracy is complex; however, the discussions in this book, together with the many figures, tables, and case studies, clearly present the necessary concepts and considerations for conducting an assessment that is both is practical, statistically reliable, and achievable.
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Citations
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
Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
Feyisa, G. L., Meilby, H., Fensholt, R., & Proud, S. R. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.08.029 · Cited by 2,105
Boryan, C., Yang, Z., Mueller, R., & Craig, M. (2011) · Geocarto International · doi:10.1080/10106049.2011.562309 · Cited by 1,212
Morphological Attribute Profiles for the Analysis of Very High Resolution Images
Dalla Mura, M., Benediktsson, J. A., Waske, B., & Bruzzone, L. (2010) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2010.2048116 · Cited by 722
Monitoring 25 years of land cover change dynamics in Africa: A sample based remote sensing approach
Brink, A. B., & Eva, H. D. (2009) · Applied Geography · doi:10.1016/j.apgeog.2008.10.004 · Cited by 417
Metadata
- Authors
- Congalton, R., & Green, K.
- Venue
- Mapping Science
- Publisher
- CRC Press
- Published
- 1998-09-17
- ISSN
- 2154-7181 (ISSN-L)
- OpenAlex
- W1482289351
- Cited by
- 3,424
- References
- 0
- FWCI
- 46.82
- Type
- book
- Language
- en
- Open access
- closed
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- Congalton, R., & Green, K. (1998). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Mapping Science. https://doi.org/10.1201/9781420048568
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