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Layer stacking is a process for combining multiple images into a single image. In order to do that the images should have the same extent (number of rows and number of columns), which means you will need to resample other bands which have different spatial resolution to the target resolution. In other words, all images/bands should have same spatial ...


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@Mr. Che and @Aaron have given great answers regarding two different things to do, but i would like to point out that there is actually a quick and easy way to use the landsat data without dealing with implementing the fmask algorithm or doing the atmospheric correction yourself: by using the surface reflectance data processed based on Landsat data. They are ...


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Atmospheric correction is required for all time series studies, as indicated in your comments. Dark object (aka Dark Body) subtraction is a common method to accomplish this as long as a suitable dark object, such as a water body, exists in the scenes. Resources: Dark Object Subtraction Classification and Change Detection Using Landsat TM Data: When and ...


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P.s how to remove cloud for landsat 7 images? You can try to use automate standalone algorithm Fmask described here.


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You need to define the Minimum Mapping Unit (MMU). Also, treating 'clusters' of classified regions as polygons can help. as you are in Imagine I will provide software specific directions apply focal majority filter (makes image polygon-like) Raster>Thematic>Neighborhood>Majority (I like the 5x5) 'Clump' the filtered image Raster>Thematic>Clump ...


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Try this steps: 1- Open GE 2- Open Erdas 3- In Help tab of Erdas type google in search commands box 4- You must see GE Icons. good luck.


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I am not sure if you saw the following file, but since you did not provide any screen shot or further explanation, the pdf file on how to use the ERDAS IMAGINE Swipe tool may help you to figure out how to activate the swipe tool



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