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I am a beginner in the area of GIS and remote sensing image analysis. I am dealing with the satellite images from the **VNP46A1 Daily At-sensor TOA Nighttime Radiance Product. I want to get the TIFF images from the DNB_At_Sensor_Radiance_500m scientific dataset layer for further analysis.

I used the HDF to GeoTIFF convert script from NASA which I slightly changed. I need to reproject the images from the WGS84 to the S-JTSK coordinate system. The original arrays from which the images are produced contain UInt16 values. When I want to display the image, I got the black image. I need to convert them to the 8-bit images. In order to do this, I used the parameter scaleParams from gdal.TranslateOptions. However, I am still seeing the black image. Below is the part of the code that I used:

gdal.TranslateOptions(gdal.ParseCommandLine(translateoptions), 
 format='GTiff', height=2400, width=2400, scaleParams=[[0, 65535, 0, 255]], resampleAlg=gdal.GRA_Bilinear, outputType=gdal.GDT_Byte)

How can I solve this problem?

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    You scale the full range of int16 into full range of 8 bit. Think again and have a new try with scaleParams=[[data_min, data_max, 0, 255]]. Min and max of source data you can find with gdalinfo -stats.
    – user30184
    Aug 10, 2020 at 17:47
  • You are right. Thank for your reply.
    – FandaK
    Aug 10, 2020 at 19:06
  • Write your solution as an answer.
    – user30184
    Aug 10, 2020 at 23:06
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    I used the np.min() and np.max() functions to find the data_min and data_max from the arrays, and thus determine the appropriate range of UInt16 values.
    – FandaK
    Aug 12, 2020 at 19:41

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