Land cover mapping in a tropical hillsides environment: A case study in the cauca region of Colombia

International Journal of Remote Sensing

Volumn 18, Issue 6, 1997, Pages 1289-1306

  Langford, M ^a   Bell, W ^b  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b INTERNATIONAL CENTER FOR TROPICAL AGRICULTURE CIAT   (Colombia)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; MAPPING; MULTISPECTRAL SCANNERS; PATTERN RECOGNITION; TROPICS;

LAND COVER MAPPING; LANDSAT THEMATIC MAPPER (TM) IMAGERY;

REMOTE SENSING;

CLASSIFICATION; HILLSIDE; IMAGE ACCURACY; LAND CLASSIFICATION; LAND COVER; LAND COVER MAPPING; LANDSAT TM; MAPPING; REMOTE SENSING; SATELLITE IMAGERY; SATELLITE IMAGING; TROPICS;

EID: 0031126777     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/014311697218421     Document Type: Article

References (15)

1. Card, D. H., 1982, Using known map category marginal frequencies to improve estimates of thematic map accuracy. Photogrammetric Engineering and Remote Sensing, 48, 431-439.
2. Civco, D. L., 1993, Artificial neural networks for land-cover classification and mapping. International Journal of Geographical Information Systems, 7, 173-186.
3. Congalton, R. G., 1991, A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35-46.
4. Congalton, R. G., Oderwald, R. G. and Mead, R. A., 1983, Assessing Landsat classification accuracy using discrete multivariate statistical techniques. Photogrammetric Engineering and Remote Sensing, 49, 1671-1678.
5. Fuller, R. M., Groom, G. B., and Jones, A. R., 1994, The land cover map of Great Britain - an automated classification of Landsat TM data. Photogrammetric Engineering and Remote Sensing, 60, 553-562.
6. Foody, G. M., 1992, On the compensation for chance agreement in image classification accuracy assessment. Photogrammetric Engineering and Remote Sensing, 58, 1459-1460.
7. Gong, P., and Howarth, P. J., 1990, An assessment of some factors influencing multispectral land-cover classification. Photogrammetric Engineering and Remote Sensing, 56, 597-603.
8. Janssen, L. L. F., and van der Wel, F. J. M., 1994, Accuracy assessment of satellite derived land-cover data: A review. Photogrammetric Engineering and Remote Sensing, 60, 419-426.
9. Ma, Z., and Redmond, R. L., 1995, Tau coefficients for accuracy assessment of classification of remote sensing data. Photogrammetric Engineering and Remote Sensing, 61, 435-439.
10. Prisley, S. P., and Smith, J. L., 1987, Using classification error matrices to improve the accuracy of weighted land-cover models. Photogrammetric Engineering and Remote Sensing, 53, 1259-1263.
11. Ramsey, R. D., Homer, C. G., and Edwards, T. C., Jr. 1993, GAP analysis land cover map for the state of Utah: a hierarchical data base. Proceedings of the ACSM/ASPRS Annual Convention and Exposition, New Orleans (Bethesda, MD: American Society for Photogrammetry and Remote Sensing and American Congress on Surveying and Mapping), vol. 3, pp. 298-306.
12. Rasch, H., 1994, Mapping of vegetation, land cover, and land use by satellite — experience and conclusions for future project applications. Photogrammetric Engineering and Remote Sensing, 60, 265-271.
13. Stoms, D., Cogan, C., and Cassidy, K., 1994, Assessing land cover map accuracy for GAP analysis. Report on a Workshop, Santa Barbara, California, 3-4 February 1994. Available on the internet @http://www.nr.usu.edu/gap/valveg.html
14. Treitz, P. M., Howarth, P. J., and Gong, P., 1992, Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: A case study. Photogrammetric Engineering and Remote Sensing, 58, 439-448.
15. Wyatt, B. F., and Mather, P. M., 1992, Large scale environmental data bases: the example of CORINE. In TERRA-1: Understanding the Terrestrial Environment. The role of Earth observations from space, edited by P. M. M ather (London: Taylor and Francis) pp. 233-248.