Advances in classification for land cover mapping using SPOT HRV imagery
Baker, J.R.; Briggs, S.A.; Gordon, V.; Jones, A.R.; Settle, J.J.; Townshend, J.R.G.; Wyatt, B.K.. 1991 Advances in classification for land cover mapping using SPOT HRV imagery. International Journal of Remote Sensing, 12 (5). 1071-1085. 10.1080/01431169108929711
Full text not available from this repository.Abstract/Summary
High-resolution data from the HRV (High Resolution Visible) sensors onboard the SPOT-1 satellite have been utilized for mapping semi-natural and agricultural land cover using automated digital image classification algorithms. Two methods for improving classification performance are discussed. The first technique involves the use of digital terrain information to reduce the effects of topography on spectral information while the second technique involves the classification of land-cover types using training data derived from spectral feature space. Test areas in Snowdonia and the Somerset Levels were used to evaluate the methodology and promising results were achieved. However, the low classification accuracies obtained suggest that spectral classification alone is not a suitable tool to use in the mapping of semi-natural cover types.
Item Type: | Publication - Article |
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Digital Object Identifier (DOI): | 10.1080/01431169108929711 |
Programmes: | CEH Programmes pre-2009 publications > Other |
UKCEH and CEH Sections/Science Areas: | _ Pre-2000 sections |
ISSN: | 0143-1161 |
Additional Keywords: | land classification, Land Cover Map, LCM1990 |
NORA Subject Terms: | Ecology and Environment |
Date made live: | 22 Jul 2014 09:18 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/507872 |
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