Relative calibration of multitemporal landsat data for forest cover change detection

Remote Sensing of Environment

Volumn 68, Issue 1, 1999, Pages 1-11

  Tokola, Timo ^a   Löfman, Satu ^a   Erkkilä, Antti ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; FORESTRY; IMAGE ANALYSIS; MATHEMATICAL MODELS; MULTISPECTRAL SCANNERS; REGRESSION ANALYSIS; VEGETATION;

DEFORESTATION; FORESTATION;

REMOTE SENSING;

CALIBRATION; DETECTION METHOD; ENVIRONMENTAL CHANGE; FOREST COVER; LANDSAT MULTISPECTRAL SCANNER; LANDSAT THEMATIC MAPPER;

EID: 0345085640     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(98)00096-0     Document Type: Article

References (39)

1. Apan A.A. Land cover mapping for tropical rehabilitation planning using remotely-sensed data. Int. J. Remote Sens. 18:1997;1029-1049.
2. Berk, A., Bernstein, L. S., and Robertson, D. C. (1989), MODTRAN: a moderate resolution model for LOWTRAN 7, GL-TR-89-0122, Geophysics Lab., Bedford, MA.
3. Caselles V., Lopez Garcia M.J. Alternative simple approach to estimate atmospheric correction in multitemporal studies. Int. J. Remote Sens. 10:1989;1127-1134.
4. Cleveland W.S. Robust locally weighted regression and smoothing scatterplots. J. Am. Stat. Assoc. 74:1979;829-836.
5. Coleman D., Holland P., Kaden N., Klema V., Peters S.C. A system of subroutines for iteratively re-weighted least-squares computations. ACM Trans. Math. Software. 6:1980;327-336.
6. Collins J.B., Woodcock C.E. An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data. Remote Sens. Environ. 56:1996;66-77.
7. Conel J.E. Determination of surface reflectance and estimates of atmospheric optical depth and single scattering albedo from Landsat Thematic Mapper data. Int. J. Remote Sens. 11:1990;783-828.
8. Coppin P.R., Bauer M.E. Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features. IEEE Trans. Geosci. Remote Sens. 60:1994;287-298.
9. Coppin P.R., Bauer M.E. Digital change detection in forest ecosystems with remote sensing imagery. Remote Sens. Rev. 13:1996;207-234.
10. Duggin M.J., Robinove C.J. Assuptions implicit in remote sensing data acquisition and analysis. Int. J. Remote Sens. 11:1990;1669-1694.
11. Erkkilä A., Siiskonen H. Forestry in Namibia 1850-1990. Silva Carelica. 20:1992;1-244.
12. Friedman, J. H. (1984), A variable span smoother, Tech. Rep. No. 5, Laboratory for Computational Statistics, Dept. of Statistics, Stanford Univ., Palo Alto, CA.
13. Gopal S., Woodcock C. Remote sensing of forest change using artificial neural networks. IEEE Trans. Geosci. Remote Sens. 34:1996;398-404.
14. Hall F.G., Strebel D.E., Nickeson J.E., Goetz S.J. Radiometric rectification. toward a common radiometric response among multi-date, multi-sensor images Remote Sens. Environ. 53:1991;11-27.
15. Häme T. Spectral interpretation of changes in forest using satellite scanner images. Acta For. Fenn. 222:1991;1-111.
16. Hampel F.R., Ronchetti E.M., Rousseeuw P.J., Stahel W.A. Robust Statistics, The Approach Based on Influence Functions. 1986;Wiley, New York.
17. Heiberger R., Becker R.A. Design of an S function for robust regression using iteratively reweighted least squares. J. Comput. Graph. Stat. 1:1992;181-196.
18. Horan J.J., Schwartz D.S., Love J.D. Partial performance degradation of a remote sensor in a space environment and some possible causes. Appl. Opt. 13:1974;1230-1237.
19. Jiaju L. Development of principal component analysis applied to multitemporal Landsat TM data. Int. J. Remote Sens. 9:1988;1895-1907.
20. Knick S.T., Rotenberry J.T., Zarriello T.J. Supervised classification of Landsat Thematic Mapper imagery in a semi-arid rangeland by nonparametric discriminant analysis. Photogramm. Eng. Remote Sens. 63:1997;79-86.
21. Markham, B. L., and Barker, J. L., Eds. (1985), Special Issue: LIDQA Final Symposium. Photogramm. Eng. Remote Sens. 51:1245-1493.
22. Metzler M.D., Malila W.A. Characterization and comparison of Landsat-4 and Landsat-5 Thematic Mapper data. Photogramm. Eng. Remote Sens. 51:1985;1315-1330.
23. Muchoney D.M., Haack B.N. Change detection for monitoring forest defoliation. Photogramm. Eng. Remote Sens. 60:1994;1243-1251.
24. Nielsen, A. A., and Condradsen, K. (1997), Multivariate Alteration Detection (MAD) in multispectral, bitemporal image data: a new approach to change detection studies, IMM Technical Report No. 1997-11, Institute of Mathematical Modelling, Technical University of Denmark, Copenhagen, Denmark, 46 pp.
25. Olsson H. Regression functions for multitemporal relative calibration of Thematic Mapper data over boreal forest. Remote Sens. Environ. 46:1993;89-102.
26. Olsson, H. (1994), Monitoring of local reflectance changes in boreal forests using satellite data, Report 7, Department of Biometry and Forest Management, Swedish University of Agricultural Sciences, Umea.
27. Olsson H. Reflectance calibration of Thematic Mapper data for forest change detection. Int. J. Remote Sens. 16:1995;81-96.
28. Richter R. A spatially adaptive fast atmospheric correction algorithm. Int. J. Remote Sens. 17:1996;1201-1214.
29. Richter R. Correction of atmospheric and topographic effects for high spatial resolution satellite imagery. Int. J. Remote Sens. 18:1997;1099-1111.
30. Rosenfield G.H., Fitzpatrick-Lins K. A coefficient of agreement as a measure of thematic classification accuracy. Photogramm. Eng. Remote Sens. 52:1986;223-227.
31. SAS Institute Inc. (1989), SAS User's Guide: Statistics, Version 6 Edition, Cary, NC, 956 pp.
32. Singh A. Change detection in the tropical forest environment of northeastern India using Landsat. Eden M.J., Parry J.T. Remote Sensing and Tropical Land Management. 1986;237-254 Wiley, London.
33. Singh A. Review article - digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 10:1989;989-1003.
34. Thome K., Markham B., Barker J., Slater P., Biggar S. Radiometric calibration of Landsat. Photogramm. Eng. Remote Sens. 63:1997;853-858.
35. Tilton J.C., Markham B.L., Alford W.L. Landsat-4 and Landsat-5 MSS coherent noise:charcterization and removal. Photogramm. Eng. Remote Sens. 51:1985;1263-1280.
36. Terry, R. A. (1987), Generating kappa statistics and testing useful hypothesis with PROC CATMOD. In Proceedings of the Twelfth Annual SAS Users Group International Conference, 8-11 February, Dallas, TX, SAS Technical Note TS-188, p. 1149.
37. Varjo J. Controlling continuously updated forest data by satellite remote sensing. Int. J. Remote Sens. 17:1996;43-67.
38. Varjo, J. (1997), Change detection and controlling forest information using multi-temporal Landsat TM imagery, Acta Forestalia Fennica 258, The Finnish Forest Research Institute, Helsinki, Finland, 64 pp.
39. Vogelmann J.E. Detection of forest change in the Green Mountains of Vermont using Multispectral Scanner data. Int. J. Remote Sens. 9:1988;1187-1200.