The effect of stratified topographic correction on land cover classification in tropical mountainous regions

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 36, Issue , 2006, Pages

  Twele, A ^a   Kappas, M ^a   Lauer, J ^a   Erasmi, S ^a  

^a UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

Algorithms; Classification; Correction; DEM DTM; Forestry; Land Cover

Indexed keywords

ALGORITHMS; ELECTRIC POWER FACTOR CORRECTION; FORESTRY; PIXELS; REFLECTION; REMOTE SENSING; TROPICS; VEGETATION;

BIDIRECTIONAL REFLECTANCE; CLASSIFICATION ACCURACY; CONTINUOUS PARAMETERS; DEM/DTM; LAMBERTIAN REFLECTANCE; LAND COVER; LAND COVER CLASSIFICATION; TOPOGRAPHIC CORRECTION;

CLASSIFICATION (OF INFORMATION);

EID: 77958492476     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Bishop, M. P., Colby, J. D., 2002. Anisotropic reflectance correction of SPOT-3 HRV imagery. International Journal of Remote Sensing 23(10), pp. 965-974.
2. Blesius, L., Weirich, F., 2005. The use of the Minnaert correction for land-cover classification in mountainous terrain. International Journal of Remote Sensing 26(17), pp. 3831-3851.
3. Chavez, P. S. Jr., 1996. Image-based atmospheric corrections - revisited and improved. Photogrammetric Engineering and Remote Sensing 62, pp. 1025-1036.
4. Colby, J. D., 1991. Topographic normalization in rugged terrain. Photogrammetric Engineering and Remote Sensing 57, pp. 531-537.
5. Colby, J. D., Keating, P. L., 1998. Land cover classification using Landsat TM imagery in the tropical highlands: the influence of anisotropic reflectance. International Journal of Remote Sensing 19(8), pp. 1479-1500.
6. Di Gregorio, A., Jansen, L. J. M., 2000. Land Cover Classification System (LCCS): Classification Concepts and User Manual. FAO, Rome.
7. Itten, K. I., Meyer, P., Kellenberger, T., Leu, R., Sandmeier, S. T., Bitter, P., and Seidel, K., 1992. Correction of the impact of topography and atmosphere on Landsat TM forest mapping of Alpine regions. Remote Sensing Series, Vol. 18, University of Zurich.
8. Lu, D., Mausel, P., Brondizio, E. and Moran, E., 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing 23(13), pp. 2651-2671.
9. Meyer, P., Itten, K. I., Kellenberger, J., Sandmeier, S. and Sammeier, R., 1993. Radiometric correction of topographically induced effects on Landsat TM data in an alpine environment. ISPRS Journal of Photogrammetry and Remote Sensing 48, pp. 17-28.
10. Minnaert, M., 1941. The reciprocity principle in lunar photometry. Astrophysical Journal 93, pp. 403-410.
11. Riaño, D., Chuvieco, E., Salas, F. J. and Aguado, I., 2003. Assessment of Different Topographic Corrections in Landsat-TM Data for Mapping Vegetation Types. IEEE Transactions on Geoscience and Remote Sensing 41, pp. 1056-1061.
12. Smith, J. A., Tzeu Lie Lin and Ranson, K. J., 1980. The lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing 46(9), pp. 1183-1189.
13. 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(2), pp. 84 - 106.
14. Tokola, T., Sarkeala, J., and van der Linden, M., 2001. Use of topographic correction in Landsat TM-based forest interpretation in Nepal. International Journal of Remote Sensing 22(4), pp. 551-563.
15. Twele, A., Erasmi, S., 2005. Optimierung der topographischen Normalisierung optischer Satellitendaten durch Einbeziehung von Kohärenzinformation. Photogrammetrie Fernerkundung Geoinformation (PFG) 3, pp. 227-234.
16. Whitten, A., Mustafa, M., and Henderson, G., 2002. The Ecology of Sulawesi. The Ecology of Indonesia Series, 4, Jakarta, Indonesia.