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The cell size can be changed but the extent of the raster dataset will remain the same. This tool can only output a square cell size. You can save your output to BIL BIP BMP BSQ DAT GIF GRID IMG JPEG JPEG 2000 PNG TIFF or any geodatabase raster dataset. There are four options for the Resampling Technique parameter: The NEAREST option which performs a nearest neighbor assignment is the fastest of the interpolation methods. It is used primarily for discrete data such as a land-use classification since it will not change the values of the cells. The maximum spatial error will be one-half the cell size. The MAJORITY option which performs a majority algorithm determines the new value of the cell based on the most popular values within the filter window. It is mainly used with discrete data just as the nearest neighbor method; Majority tends to give a smoother result than Nearest. The BILINEAR option which performs a bilinear interpolation determines the new value of a cell based on a weighted distance average of the four nearest input cell centers. It is useful for continuous data and will cause some smoothing of the data. The CUBIC option which performs a cubic convolution determines the new value of a cell based on fitting a smooth curve through the 16 nearest input cell centers. It is appropriate for continuous data although it may result in the output raster containing values outside the range of the input raster. It is geometrically less distorted than the raster achieved by running the nearest neighbor resampling algorithm. The disadvantage of the Cubic option is that it requires more processing time. In some cases it can result in output cell values outside the range of input cell values. If this is unacceptable use Bilinear instead. The Bilinear and Cubic options should not be used with categorical data since the cell values may be altered. In this video you will learn how to change pixel size of a raster using resample tool of ArcGIS. This is very much important when you will work a number of raster datasets. The cell size needs to be same for all raster dataset for any remote sensing image analysis. Otherwise the result will not be accurate or the output file will show error message. Therefore this video tutorial is very crucial who don't know this before regarding cell size importance in any raster analysis. I hope this tutorial will be useful for you.