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remote_sensing_methods:riparian_supervised_classification

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remote_sensing_methods:riparian_supervised_classification [2012/03/26 08:48]
calbury
remote_sensing_methods:riparian_supervised_classification [2012/03/28 15:06]
calbury
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   * How representative the training data are.   * How representative the training data are.
   * The distinctiveness of the classes. ​   * The distinctiveness of the classes. ​
-High quality training data can be time consuming to generate. Please see the [[remote_sensing_methods:​vegetation_prerequisites]] page for more discussion on training data quality requirements.+High quality training data can be time consuming to generate. Please see the [[remote_sensing_methods:​vegetation_mapping_prerequisites_and_approaches]] page for more discussion on training data quality requirements. 
 ===== Software/​Hardware Requirements ===== ===== Software/​Hardware Requirements =====
 Unsupervised classification requires remote sensing or GIS software such as ERDAS Imagine or ArcGIS. This method is processing intensive; processing times will vary by dataset size and computer processing speed. ​ Unsupervised classification requires remote sensing or GIS software such as ERDAS Imagine or ArcGIS. This method is processing intensive; processing times will vary by dataset size and computer processing speed. ​
remote_sensing_methods/riparian_supervised_classification.txt · Last modified: 2013/02/21 11:35 by jgillan