AcATaMa
AcATaMa
The AcATaMa is a Qgis plugin for Accuracy Assessment of Thematic Maps.
References
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- Stehman, S. V. (2014). Estimating area from an accuracy assessment of land cover. Remote Sensing of Environment, 148, 42-57.
- Stehman, S. V., & Czaplewski, R. L. (1998). Design and analysis for thematic map accuracy assessment: fundamental principles. Remote sensing of environment, 64(3), 331-344.
- Stehman, S. V., & Foody, G. M. (2019). Accuracy assessment: a user’s perspective. CRC Press.
- FAO. (2016). Collect Earth: Land Use and Land Cover Assessment through Augmented Visual Interpretation. Rome, Italy: Food and Agriculture Organization of the United Nations.
- Stehman, S. V., & Wickham, J. D. (2011). Pixels, blocks of pixels, and polygons: Choosing a spatial unit for thematic accuracy assessment. Remote Sensing of Environment, 115(12), 3044-3055.
- Pontius Jr, R. G., & Millones, M. (2011). Death to Kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing, 32(15), 4407-4429.
- Foody, G. M. (2020). Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sensing of Environment, 239, 111630.
- Van Genderen, J. L., Lock, B. F., & Vass, P. A. (1978). Remote sensing: statistical testing of thematic map accuracy. Remote Sensing of Environment, 7(1), 3-14.
- Cochran, W. G. (1977). Sampling techniques. Johan Wiley & Sons Inc.
- Stehman, S. V., & Foody, G. M. (2019). Key issues in rigorous accuracy assessment of land cover products. Remote Sensing of Environment, 231, 111199.
- Hay, A. M. (1979). Sampling designs to test land-use map accuracy. Photogrammetric Engineering and Remote Sensing, 45(4), 529-533.
- Initiative, G. F. O. (2016). Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests. Methods and Guidance from the Global Forest Observations Initiative.