How to identify our corrected image for Landsat 8 after all the corrections including atmospheric and radiometric is good to use before deriving the depth using the stumpf algorithm in the satellites derived bathymetry work?
To know if Landsat 8 correction, including radiometric and atmospheric correction, is successful, there are several steps you can take:
1) Visual inspection of the data: This step involves checking the imagery after processing to confirm the corrections have eliminated any issues caused by atmospheric effects. Check if the images are free of banding or other artifacts and have the expected color balances and radiometric accuracy.
2) Comparing pre- and post-correction images: A comparison between pre-correction and post-correction images can help to identify any changes introduced by the correction process. This can be done by overlaying the two images, visually inspecting and comparing areas of interest.
3) Calibration against ground data: Compare the data obtained from corrected imagery to ground or in situ measurements. This can help you to verify the correction, and assess how well data is calibrated after correction.
4) Scientific analysis: Conduct various scientific analyses using the corrected imagery to confirm that the data is fit for intended purposes. The analysis, such as land-use mapping, vegetation mapping, and land-cover classification, should indicate that the correction was beneficial.
5) Compare correction results to other correction methods or data providers. Many different methods are available to correct remotely sensed data, and some may provide better results in specific cases. By comparing correction results of different methods or data providers, you can assess whether the approach you used was the most suitable for your data.
Overall, using multiple methods, such as visual, statistical or scientific analysis, to confirm the correction success can provide reasonable certainty that Landsat 8 correction was successful.
hi, Jude Paho Nteinmusi Another simple way to verify the
success of the atmospheric correction is to analyze the
spectral values of a pixel where there is healthy vegetation
and verify that the values have the expected pattern for
healthy vegetation. I attach a sheet about it
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