The use of the Minnaert correction for land-cover classification in mountainous terrain

International Journal of Remote Sensing

Volumn 26, Issue 17, 2005, Pages 3831-3851

  Blesius, Leonhard ^a   Weirich, F ^a  

^a UNIVERSITY OF IOWA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; LAND USE; LANDFORMS; MATHEMATICAL MODELS; RADIOMETRY;

DIGITAL ELEVATION MODELS; LAND COVER CLASSIFICATION; MINNAERT CORRECTION;

REMOTE SENSING;

CORRECTION; IMAGE ANALYSIS; LAND CLASSIFICATION; LAND COVER; PIXEL; REMOTE SENSING; TOPOGRAPHIC EFFECT;

EID: 26844552409     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500104194     Document Type: Article

References (54)

1. Amarsaikhan, D. and Douglas, T., 2004, Data fusion and multisource image classification. International Journal of Remote Sensing, 25, pp. 3529-3539.
2. Angelo, N.P. and Haertel, V., 2003, On the application of Gabor filtering in supervised image classification. International Journal of Remote Sensing, 24, pp. 2167-2189.
3. Al-Rousan, N., Cheng, P., Petrie, G., Toutin, T. and Valadan Zoej, M.J., 1997, Automated DEM extraction and orthimage generation from SPOT level 1B imagery. Photogrammetric Engineering and Remote Sensing, 63, pp. 965-974.
4. Bishop, M.P. and Colby, J.D., 2000, Anisotropic reflectance correction of SPOT-3 HRV imagery. International Journal of Remote Sensing, 23, pp. 2125-2131.
5. Bishop, M.P., Shroder, J.F. Jr. and Colby, J.D., 2003, Remote sensing and geomorphometry for studying relief production in high mountains. Geomorphology, 55, pp. 345-361.
6. Chavez, P.S. Jr., 1989, Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogrammetric Engineering and Remote Sensing, 55, pp. 1285-1294.
7. Civco, D.L., 1989, Topographic normalization of Landsat Thematic Mapper digital imagery. Photogrammetric Engineering and Remote Sensing, 55, pp. 1303-1309.
8. Coburn, C.C. and Roberts, A.C.B., 2004, A multiscale texture analysis procedure for improved forest stand classification. International Journal of Remote Sensing, 25, pp. 4287-4308.
9. Colby, J.D., 1991, Topographic normalization in rugged terrain. Photogrammetric Engineering and Remote Sensing, 57, pp. 531-537.
10. Congalton, R.G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, pp. 35-46.
11. Congalton, R.G. and Green, K., 1998, Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, ((Boca Raton, FL: Lewis Publishers).
12. Congalton, R.G., Oderwald, R.G. and Mead, R.A., 1983, Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogrammetric Engineering and Remote Sensing, 49, pp. 1671-1678.
13. De Bruin, S. and Gorte, B.G.H., 2000, Probabilistic image classification using geological map units applied to land-cover change detection. International Journal of Remote Sensing, 21, pp. 2389-2402.
14. Dibblee, T.W. and Ehrenspeck, H.E., 1992, Geologic Map of the Topanga and Canoga Park (South 1/2) Quadrangles, Los Angeles County, California. Dibblee Geological Foundation Map DF-35, scale 1:24 000 ((Camarillo, CA: Dibblee Geological Foundation).
15. Dibblee, T.W., Ehrenspeck, H.E. and Bartlett, W., 1993, Geologic Map of the Malibu Beach Quadrangle, Los Angeles County, California. Dibblee Geological Foundation Map DF-47, scale 1: 24 000 (Camarillo, CA: Dibblee Geological Foundation).
16. Dunn, P.H., Barro, S.C., Wells, W.G. II., Poth, M.A., Wohlgemuth, P.M. and Colver, C.G., 1988. The San Dimas Experimental Forest: 50 years of research. General technical report, PSW-104, Pacific Southwest Forest and Range Experiment Station, Forest Service, US Department of Agriculture, Berkley, CA.
17. Feng, J.L., Rivard, B. and Sanchez-Azofeifa, A., 2003, The topographic normalization of hyperspectral data: implications for the selection of spectral end members and lithological mapping. Remote Sensing of Environment, 85, pp. 221-231.
18. Foody, G.M., 2004, Supervised image classification by MLP and RBF neural networks with and without an exhaustively defined set of classes. International Journal of Remote Sensing, 25, pp. 3091-3104.
19. Franklin, S.E. and Wilson, B.A., 1992, A three-stage classifier for remote sensing of mountain environments. Photogrammetric Engineering and Remote Sensing, 58, pp. 449-454.
20. Giles, P.T., Chapman, M.A. and Franklin, S.E., 1994, Incorporation of a digital elevation model derived from stereoscopic satellite imagery in automated terrain analysis. Computers and Geosciences, 20, pp. 441-460.
21. Gurney, C.M. and Townshend, J.R.G., 1983, The use of contextual information in the classification of remotely sensed data. Photogrammetric Engineering and Remote Sensing, 49, pp. 55-64.
22. Hall-Konyves, K., 1987, The topographic effect on Landsat data in gently undulating terrain in Southern Sweden. International Journal of Remote Sensing, 8, pp. 157-168.
23. Hanes, T.L., 1988, California chaparral. In Terrestrial Vegetation of California, M.G. Barbour and J. Major (Ed), pp. 886-892, California Native Plant Society Special Publication No. 9 ((Sacramento, CA: California Native Plant Society).
24. Holben, B.N. and Justice, C.O., 1979, Evaluation and modeling of the topographic effect on the spectral response from the nadir pointing sensors. NASA Technical Memorandum 80305, Goddard Space Flight Center, Greenbelt, MD.
25. Holben, B.N. and Justice, C.O., 1981, An examination of spectral band ratioing to reduce the topographic effect on remotely sensed data. International Journal of Remote Sensing, 2, pp. 115-133.
26. Hornafius, J.S., Luyendyk, B.P., Terres, R.R. and Kamerling, M.J., 1986, Timing and extent of neogene tectonic rotation in the western transverse ranges, California. Geological Society of America Bulletin, 97, pp. 1476-1487.
27. Jackson, L.L. and Gough, L.P., 1991, Seasonal and spatial biogeochemical trends for chaparral vegetation and soil geochemistry in the Santa Monica Mountains National Recreation Area, Ca. USGS Open-File Report 91-0005, Denver, CO.
28. Jones, A.R., Settle, J.J. and Wyatt, B.K., 1988, Use of digital terrain data in the interpretation of SPOT-1 HRV multispectral imagery. International Journal of Remote Sensing, 9, pp. 669-682.
29. Justice, C. and Holben, B., 1979, Examination of Lambertian and non-Lambertian models for simulating the topographic effect on remotely sensed data. NASA Technical Memorandum 80557, Goddard Space Flight Center, Greenbelt, MD.
30. Justice, C., Wharton, S. and Holben, B., 1980, Application of digital terrain data to quantify and reduce the topographic effect on Landsat data. NASA Technical Memorandum 81988, Goddard Space Flight Center, Greenbelt, MD.
31. Kaufman, Y.K., 1989, The atmospheric effect on remote sensing and its correction. In Theory and Applications of Optical Remote Sensing, G. Asrar (Ed.), pp. 336-428 ((New York: John Wiley and Sons).
32. Kamerling, M.J. and Luyendyk, B.P., 1979, Tectonic rotations of the Santa Monica Mountains Region, Western Transverse Ranges, California, suggested by paleomagnetic vectors. Geological Society of America Bulletin, 90, pp. 331-337.
33. Kawata, Y., Ueno, S. and Kusaka, T., 1988, Radiometric correction for atmospheric and topographic effects on Landsat MSS images. International Journal of Remote Sensing, 9, pp. 729-748.
34. Leprieur, C.E., Durand, J.M. and Peyron, J.L., 1988, Influence of topography on forest reflectance using Landsat Thematic Mapper and digital terrain data. Photogrammetric Engineering and Remote Sensing, 54, pp. 491-496.
35. Mason, D.C., Corr, D.G., Cross, A., Hogg, D.C., Lawrence, D.H., Petrou, M. and Tailor, A.M., 1988, The use of digital map data in segmentation and classification of remotely-sensed images. International Journal of Geographical Information Systems, 2, pp. 195-215.
36. May, A.M.B., Pinder, J.E. III. and Kroh, G.C., 1997, A comparison of Landsat Thematic Mapper and SPOT multi-spectral imagery for the classification of shrub and meadow vegetation in northern California, USA. International Journal of Remote Sensing, 18, pp. 3719-3728.
37. Middelkoop, H. and Janssen, L.L.F., 1991, Implementation of temporal relationships in knowledge based classification of satellite images. Photogrammetric Engineering and Remote Sensing, 57, pp. 937-945.
38. Mulder, N.J., 1988, Digital image processing, computer-aided classification and mapping. In Vegetation Mapping, A.W. Küchler and I.S. Zonneveld (Eds), pp. 269-316 ((Dordrecht: Kluwer Academic Press).
39. Peddle, D.R. and Franklin, S.E., 1991, Image texture processing and data integration for surface pattern discrimination. Photogrammetric Engineering and Remote Sensing, 57, pp. 413-420.
40. Qiu, F. and Jensen, J.R., 2004, Opening the black box of neural networks for remote sensing image classification. International Journal of Remote Sensing, 25, pp. 1749-1768.
41. Richter, R., 1997, Correction of atmospheric and topographic effects for high spatial resolution satellite imagery. International Journal of Remote Sensing, 18, pp. 1099-1111.
42. Richter, R. and Schlapfer, D., 2002, Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: atmospheric/topographic correction. International Journal of Remote Sensing, 23, pp. 2631-2649.
43. Rogers, A.S. and Kearney, M.S., 2004, Reducing signature variability in unmixing coastal marsh Thematic Mapper scenes using spectral indices. International Journal of Remote Sensing, 25, pp. 2317-2335.
44. Smith, J., Lin, T. and Ranson, K., 1980, The Lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing, 46, pp. 1183-1189.
45. Soil Conservation Service 1967, Soils of the Malibu area, California ((Washington, DC: US Department of Agriculture).
46. Soil Conservation Service 1969, Report and general soil map Los Angeles County ((Washington, DC: US Department of Agriculture).
47. Soil Conservation Service 1970, Soil survey Ventura area, California ((Washington, DC: US Department of Agriculture).
48. Teillet, P.M., Guindon, B. and Goodenough, D.G., 1982, On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing, 8, pp. 84-106.
49. Terres, R.R. and Luyendyk, B.P., 1985, Neogene tectonic rotation of the San Gabriel region, California, suggested by paleomagnetic vectors. Journal of Geophysical Research, 90, pp. 12 467-12 484.
50. US Geological Survey 1991, Topographic map Topanga CA, 1: 24000 (USGS, Reston, Va).
51. US Geological Survey 1994, Topographic map Malibu Beach CA, 1:24000 (USGS, Reston, Va).
52. Warner, T.A., Levandowski, D.W., Bell, R. and Cetin, H., 1994, Rule-based geobotanical classification of topographic, aeromagnetic, and remotely sensed vegetation community data. Remote Sensing of Environment, 50, pp. 41-51.
53. Woodham, R.J. and Gray, M.H., 1987, An analytic method for radiometric correction of satellite multispectral scanner data. IEEE Transactions on Geoscience and Remote Sensing, GE-25, pp. 258-271.
54. Yerkes, R.F. and Campbell, R.H., 1979, Stratigraphic nomenclature of the central Santa Monica mountains, Los Angeles county, California. Geological Survey Bulletin 1457E, Washington, DC.