Foody, G. M. and Hill, R.A., 1996. Classification of tropical forest classes from Landsat TM data. International Journal of Remote Sensing, 17 (12), pp. 2353-2367.
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The spectral separability of thirteen topical vegetation classes, including twelve forest types, was assessed. Although the thirteen classes could not be classified to a high accuracy the results of a set of supervised and unsupervised classifications revealed that three groups of classes were highly separable; a classification of the three groups by a discriminant analysis had an accuracy of 92.20%. These three spectrally separable groups also corresponded closely to ecological groups identified from an ordination of data on tree species contained within a detailed ground data set. On the basis of the class separability analyses the three spectrally separable groups were mapped, with an accuracy of 94.84%, from Landsat TM data by a maximum likelihood classification. It was apparent that some of the errors in this classification could be resolved through the use of contextual information and ancillary information, particularly on topography.
|Subjects:||Geography and Environmental Studies|
|Group:||School of Applied Sciences > Centre for Conservation, Ecology and Environmental Change|
|Deposited By:||Dr Ross Hill|
|Deposited On:||07 Apr 2009 19:14|
|Last Modified:||07 Mar 2013 15:07|
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