Atmospheric and Radiometric Normalization of Satellite Images for Landscape-Level Environmental Monitoring: The Case of The Mediterranean Region
Abstract
Ensuring atmospheric and radiometric consistency among the frameworks of satellite data used in regional studies is a critical requirement for change detection studies employed in regional planning monitoring. The purpose of this article is to provide a guide for the necessary atmospheric correction and radiometric normalization processes required in generating environmental data at the landscape level for physical planning. In this context, adjustments were made to remove atmospheric effects before merging multiple ASTER satellite image frames used in a project supported by TÜBİTAK, covering landscape-level environmental inventory and monitoring. The Dark Object Subtraction method with the Cos(t) model was utilized in the atmospheric correction process. Subsequently, separate regression relationships were computed for each band by considering overlapping areas on adjacent tracks of ASTER data, and radiometric normalization was performed based on these regression equations. Thus, differences between satellite images used in monitoring land changes and affecting multiple frames were minimized.
Keywords
Radiometric normalization, land cover mapping, change detection, ASTER.
Supporting Institution
TÜBİTAK
Project Number
107Y153
Ethical Statement
The article complies with national and international research and publication ethics.
Ethics Committee approval was not required for the study.
Thanks
This article was conducted within the scope of Project No. 107Y153 supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK) under the 1001 Program. We would like to express our gratitude to TÜBİTAK for their financial support.
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