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In addition to the spectral data you would need another way to differentiate the two. I know point cloud data from LiDAR surveys would allow you to do this, but you might not have it available or in the same time frame as your photos. It's a vague hint, but looking for elevation datasets that show a difference between the bare earth DSM and some of the ...


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If you can't differentiate them spectrally then it has to be based on some other criteria. You state that you are using a "multiresolution segmentation algorithm" which suggests that you might have access to software that can do object-oriented classification. You might want to consider textural, shape, or spatial characteristics that differentiate ...


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Yes, there are Tasseled Cap Coefficients for the RapidEye sensors available: Brightness, Greenness and Yellowness. Yellowness - instead of the commonly derived Wetness (e.g. Landsat) - was derived because the RapidEye sensors do not have SWIR bands (SWIR bands respond to moisture variation, e.g. in soil/vegetation). Yellowness instead shows the variation of ...


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Here's a simple tutorial: A Web Map Service (WMS) is a web service that supplies georeferenced images to a client (viewer). The service supplies images based on a request that specifies, the dimensions, the coordinate reference system, the data, the output format and other criteria as required. The client builds a request based on information that is ...



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