Yes, there are a few general and mandatory corrections or preprocessing that need to be done on PRISMA data level 2C before the sub-pixel mapping algorithms can be applied.
The required tool details to make the corrections to PRISMA data level 2C before the sub-pixel mapping algorithms can be applied include:
Radiometric calibration: A radiometric calibration tool is used to correct for the different responses of the instrument's detectors to different wavelengths of light. This can be done using a reference dataset of known values, or by using a statistical method to estimate the corrections.
Geometric correction: A geometric correction tool is used to correct for the distortions introduced by the satellite's motion and the Earth's curvature. This can be done using a ground control point (GCP) dataset, or by using a statistical method to estimate the corrections.
Atmospheric correction: An atmospheric correction tool is used to correct for the effects of the atmosphere on the light that reaches the satellite, such as absorption and scattering. This can be done using a radiative transfer model, or by using a statistical method to estimate the corrections.
The specific tools that are used will depend on the data and the desired accuracy. It is important to consult with a remote sensing expert to determine the appropriate tools for a particular project.
Here are some examples of tools that can be used for each correction:
Radiometric calibration:ENVI Erdas Imagine QGIS
Geometric correction:ENVI Erdas Imagine SRTM v4
Atmospheric correction:MODTRAN Fast Line-of-Sight Atmospheric Radiative Transfer (FLAART) MAJA
It is important to note that these are just a few examples, and there are many other tools available. The best tool for a particular project will depend on the data, the desired accuracy, and the expertise of the user.
These corrections are necessary to ensure that the sub-pixel mapping algorithms are accurate and that the results are reliable.
In addition to these general corrections, there may be other corrections that need to be applied depending on the specific application. For example, if the sub-pixel mapping algorithm is being used to map a particular land cover type, then it may be necessary to correct for the effects of vegetation on the reflectance of the surface.
The specific corrections that need to be applied will depend on the data, the application, and the desired accuracy. It is important to consult with a remote sensing expert to determine the appropriate corrections for a particular project.
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But I think the PRISMA level2C images are atmospherically corrected in the best way.
An optional radiometric calibration can do for them. (Cross-track illumination correction for pushbroom sensors)
In my opinion there is only a mandatory correction for this level that's a geometric correction (Orthorectification) ,I'm looking for details, I will be very grateful to know your idea and I welcome your suggestions.