Technical note On estimating measurement error in remotely-sensed images with the variogram

International Journal of Remote Sensing

Volumn 18, Issue 14, 1997, Pages 3075-3084

  Atkinson, P M ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; MATHEMATICAL MODELS; MEASUREMENT ERRORS; SIGNAL TO NOISE RATIO; STATISTICAL METHODS;

NUGGET VARIANCE;

REMOTE SENSING;

EID: 0031237922     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697217224     Document Type: Article

References (37)

1. Aronoff, S., 1989, Geographic Information Systems: A Management Perspective (Ottawa, Canada: WDL Publications).
2. Atkinson, P. M., 1993, The effect of spatial resolution on the experimental variogram of airborne MSS imagery. International Journal of Remote Sensing, 14, 1005-1011.
3. Atkinson, P. M., and Curran, P. J., 1995, Defining an optimal size of support for remote sensing investigations. IEEE Transactions on Geoscience and Remote Sensing, 33, 1-9.
4. Atkinson, P. M., Dunn, R. and Harrison, A. R. 1996, Measurement error in reflectance data and its implications for regularizing the variogram. International Journal of Remote Sensing, 17, 3735-3750.
5. Burrough, P. A., 1981, Fractal dimensions of landscapes and other environmental data. Nature, 294. 240-242.
6. Chavez, P. S., 1992, Comparison of spatial variability in visible and near-infrared spectral images. Photo gramme trie Engineering and Remote Sensing, 58, 957-964.
7. Clark, C. D., 1990, Remote sensing scales related to the frequency of natural variation: an example from paleo-ice-flow in Canada. IEEE Transactions on Geoscience and Remote Sensing. 28, 503-515.
8. Clark, I., 1977, Regularization of a semivariogram. Computers and Geosciences, 3, 341-346.
9. Cliff, A. D., and Ord, J. K. 1973, Spatial Autocorrelation (London: Pion).
10. Cohen, W. B., Spies, T. A., and Bradshaw, G. A., 1990, Semivariograms of digital imagery for analysis of conifer canopy structure. Remote Sensing of Environment, 34, 167-178.
11. Curran, P. J., 1988, The semi-variogram in remote sensing: an introduction. Remote Sensing of Environment, 3, 493-507.
12. Curran, P. J., and Duncan, J. L., 1989, Estimation of signal to noise: a new procedure applied to AVIRIS data. IEEE Transactions on Geoscience and Remote Sensing, 27, 620-628.
13. Davis, F. W., Quottrochi, D. A., Ridd, M. K., Lam, N. S-M., Walsh, S. J., Michaelson, J. C., Franklin, J., Stow, D. A., Johannsen, C. J., and Johnston, C. A., 1991, Environmental analysis using integrated GIS and remotely-sensed data: some research needs and priorities. Photo gramme trie Engineering and Remote Sensing, 57, 689-697.
14. Duggin, M. J., Sakhavat, H., and Lindsay, J., 1985, Systematic and random variations in Thematic Mapper digital radiance data. Photo gramme trie Engineering and Remote Sensing, 51, 1427-1434.
15. Eklundh, L. R., 1995, Noise estimation in NOAA AVHRR maximum-value composite NDVI images. International Journal of Remote Sensing, 16, 2955-2962.
16. Epema, G. F. 1991, Studies of errors in field measurements of the bidirectional reflectance factor. Remote Sensing of Environment, 35, 37-49.
17. Gohin, F. and Langlois, G. 1993, Using geostatistics to merge in situ measurements and remotely sensed observations of sea surface temperature. International Journal of Remote Sensing, 14, 9-19.
18. Goodchild, M., and Gopal, S., (eds), 1989, Accuracy of Spatial Databases (London: Taylor & Francis).
19. Isaaks, E. H. and Srivastava, R. M., 1989, Applied Geostatistics (Oxford: Oxford University Press).
20. Journel, A. G. and Huijbregts, C. J., 1978, Mining Geostatistics (London: Academic Press).
21. Jupp, D. L. B., Strahler, A. H., and Woodcock, C. E., 1988, Autocorrelation and regularization in digital images, I. Basic theory. IEEE Transactions on Geoscience and Remote Sensing, 26, 463-473.
22. Lam, N. S-N., and Quottrochi, D. A., 1992. On the issues of scale, resolution and fractal analysis in the mapping sciences. Professional Geographer, 44, 88-98.
23. Lee, J. B., Woodyat, A. S., and Berman, M., 1990, Enhancement of high spectral resolution remote sensing data by a noise-adjusted principal components transform. IEEE Transactions on Geoscience and Remote Sensing, 28, 295-304.
24. Lunetta, R. S., Congalton, R. G., Fenstermaker, L. K., Jensen, J. R., McGwire, K. C., and Tinney, L. R., 1991, Remote sensing and geographic information system data integration: error sources and research issues. Photogramme trie Engineering and Remote Sensing, 57, 677-687.
25. McGwire, K., Friedl, M., and Estes, J. E., 1993, Spatial structure, sampling design and scale in remotely sensed imagery of a California savanna woodland. International Journal of Remote Sensing, 14, 2137-2164.
26. Matheron, G. 1965, Les variables régionalisées et leur estimation (Paris: Masson).
27. Matheron, G., 1971, The Theory of Regionalized Variables and its Applications (Fontainebleau: Centre de Morphologie Mathématique de Fontainebleau).
28. Milton, E. J., 1987, Principles of field spectroscopy. International Journal of Remote Sensing, 8. 1807-1827.
29. Piwowar, J. M. and LeDrew, E. F., 1990, Integrating spatial data: a user’s perspective. Photogramme trie Engineering and Remote Sensing, 56, 1497-1502.
30. Quarmby, N. A., 1987, Noise removal for SPOT HRV images. International Journal of Remote Sensing. 8. 1229-1234.
31. Ramstein, G., and Raffy, M., 1989, Analysis of the structure of radiometric remotely sensed images. International Journal of Remote Sensing, 10, 1049-1074.
32. Rossi, R. E., Mulla, D. J., Journel, A. G., and Franz, E. H., 1992, Geostatistical tools for modeli and interpreting ecological spatial dependence. Ecological Monographs, 62, 277-314.
33. Smith, G. M., and Curran, P. J., 1996, The signal-to-noise ratio (SNR) required for the estimation of foliar biochemical concentrations. International Journal of Remote Sensing, 17, 1031-1058.
34. Webster, R., 1991, Local disjunctive kriging of soil properties with change of support. Journal of Soil Science, 42. 301-318.
35. Webster, R., and Oliver, M. A., 1990, Statistical Methods for Soil and Land Resources Survey (Oxford: Oxford University Press).
36. Webster, R., and Oliver, M. A., 1992, Sample adequately to estimate variograms of soil properties. Journal of Soil Science, 43, 177-192.
37. Young, J. M., 1987, Noise characterization of Airborne Visible InfraRed Imaging Spectrometer (AVIRIS) Data. Masters Project, Department of Electrical Engineering, University of Colorado, Boulder, CO, U.S.A.