Urban Vegetation Mapping Using Remote Sensing Techniques : A Comparison of Methods
The aim of this study is to compare remote sensing methods in the context of a vegetation mapping of an urban environment. The methods used was (1) a traditional per-pixel based method; maximum likelihood supervised classification (ENVI), (2) a standard object based method; example based feature ext...
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| Format: | Others |
| Language: | English |
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Stockholms universitet, Institutionen för naturgeografi
2015
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-117108 |