![]() The “Mean GR Square Pixel”, which is 14.02 m in this case, is actually the mean value of the two ground spacing. The two spacing won’t be exactly the same due to the integer limitation on the number of looks. ![]() its azimuth spacing will be approximately the same as its ground range spacing. Nevertheless, preprocessing is required to convert pixel values to a decimal value of reflectance. This is because with this setting the multilooked image will have a roughly square pixel on the ground, i.e. Sentinel-1 SAR Level-1 Single Look Complex Single Look Complex products have spatial resolutions that depend on acquisition mode. The downloaded product is a Sentinel-2 Level 2A image, which is already atmospherically corrected (Level 1C images require atmospherical correction as described in Image conversion to reflectance). In this method, you select a specific pixel from a series of pixels that come from different images, based on some statistics, like getting the first quartile pixel from the set of pixels. ![]() Say you select “GR Square Pixel” in Multilook UI, the operator will suggest you with 6 for “Number of Range Looks” and 1 for “Number of azimuth Looks”. The most popular one used by other companies is based on pixel compositing. To get the ground range pixel spacing, it should be projected to the ground. The 2.3x8 m is slant range pixel spacing. Sometimes we want the mutilooked image has a roughly squared pixel on the ground. Then what is the mean GR square pixel? It is the pixel spacing on the ground. These can be seen in the metadata of the output product. If you multilook the image with 2 azimuth looks and 8 range looks, then you will have a multilooked image with 14.1x2 m azimuth spacing and 2.3x8 m slant range spacing. Say you SLC product has a 14.1 m azimuth spacing and 2.3 m slant range spacing.
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