Atmospheric Correction of Remote Sensing Imagery

Dear Colleagues,

As satellite sensor performance increases, developing accurate pre-processing procedures has become a priority to meet the need for many new and powerful remote-sensing applications.

One of the most challenging issues, particularly important in ground studies, is making the data repeatable over time and uniform with respect to the different sensors and acquisition platforms, i.e., to obtain data that represent the intrinsic characteristics of the observed target. The signal detected by the sensor depends on the geometry of the acquisition and the illumination conditions at the time of acquisition and is impacted by the presence of the air column and other factors, such as topography and BRDF. The atmospheric corrections have the role of cleaning the signal from unwanted contributions as much as possible and moving from the sensor radiance to a quantity more closely related to the properties of the target, such as ground reflectance or emissivity.

Over time, many techniques for atmospheric correction and image harmonization have been developed and, at present, a large amount of already corrected data have been distributed. The great diversity of approaches followed, and the fact that the various approaches can have different impacts depending on the specific application, mean that a discussion has become urgent.

Contributions relevant to this Special Issue may include:

• Review of currently existing methods for the correction and harmonization of remote sensing images;
• Comparative studies between different models and products;
• Validation approaches;
• Proposals for new technologies;
• Analysis work on the advantages and disadvantages of the different approaches in relation to specific applications.

Dr. Federico Santini
Dr. Angelo Palombo
Guest Editors

Related References

Palombo, A.; Santini, F. ImaACor: A Physically Based Tool for Combined Atmospheric and Topographic Corrections of Remote Sensing Images. Remote Sens. 2020, 12, 2076. https://doi.org/10.3390/rs12132076
Santini, F.; Palombo, A. Physically Based Approach for Combined Atmospheric and Topographic Corrections. Remote Sens. 2019, 11, 1218. https://doi.org/10.3390/rs11101218

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