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Could be interesting to experiment with these extensions: Imagine Objective for automated feature extraction and Easytrace for semi-automated feature extraction functions. enter link description here


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Well...it is exactly what it is reporting. You are running out of storage space on your harddrive. In addition to the results of a resolution merge being quite large, this model writes several temporary files to disk and requires a large amount of storage space in the scratch space, which defaults to your temp directory on C:/.


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JPEG2000 Pros: Better compression than JPEG Supports both lossy and lossless compression, JPEG is lossy only Supports any number of bands, JPEG only supports 3 bands Supports more datatypes (including floating point), JPEG only supports 8 bit (byte) data Internal precomputed multiresolution representation (aka pyramids) JPEG2000 Cons: Limited ...


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NDVI is for vegetation/non vegetation discrimination. So if your vegetation is always coniferous forest, then it should be the most efficient method in your case. Otherwise you will have confusions with crop, grassland and deciduous forests. In a montainous area, single reflectance thresholds will be problematic due to the hillshade (clearly visible on ...


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Basically, DN is te value assigned to a pixel in a digital image, so you'll always have DN's. However, it is mostly used for the raw image values, coming directly from the sensor (usually after some recalibration to optimize the use of a pixel depth and correct some internal sensor errors). TOA reflectance is the value of the reflectance on Top of ...



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