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I have also had a lot of success using the image classification tools in ArcGIS (http://resources.arcgis.com/en/help/main/10.2/index.html#//00nv00000008000000). The documentation is great and the results have been very accurate. Unsupervised classification is tricky because defining the number of classes will always result in some degree of mixing. Even ...


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If you use QGIS, there is a plugin named "semi automatic classification". It may not take too much time to utilize the plugin because you might be familiar with the RS analysis methods. I have used it for 1 week and have been pleased. The plugin is also capable of downloading landsat's photos. Here's the link of classification tutorial. ...


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As far as i know there's no way of performing atmospheric correction for L8 images in Arcgis 9.3. but there's an plugin i QGIS called Semi-Automatic Classification that will perform DOS on Landsat 8 images. Check it out, it's pretty good. You can find all the information here: http://fromgistors.blogspot.com/ and also in the Semi-automatic Classification ...


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I would advise using the dark object subtraction (DOS) method for atmospheric correction. Essentially, you find a dark object in your scene--such as a deep, dark water body--where you know there is no reflectance. Any brightness values associated with the dark object in your scene are therefore likely the result of atmospheric effects. These values can then ...



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