Georgia Doxani
Papers
2
Total Citations
65
H-Index
2
About
Georgia Doxani is a leading expert in the atmospheric correction of satellite imagery, a critical step for accurate quantitative remote sensing. Her primary research focuses on the rigorous inter-comparison and validation of atmospheric correction processors for both multispectral and hyperspectral sensors. Doxani is the driving force behind the landmark Atmospheric Correction Inter-comparison eXercise (ACIX) series, which has become the de facto benchmark for the global remote sensing community. Her most cited work, the ACIX-II Land study (2022, 63 citations), provided a comprehensive assessment of processors for Landsat 8 and Sentinel-2, establishing a standardized framework for evaluating performance over land surfaces. This work is essential for ensuring consistency and reliability in multi-temporal analyses. Most recently, she has extended this rigorous methodology to the hyperspectral domain with ACIX-III Land (2025), assessing processors for the new generation of spaceborne imagers like EnMAP and PRISMA. Through these open-access benchmarks, Doxani has provided the community with an invaluable, objective resource for selecting and improving atmospheric correction algorithms, directly enhancing the quality of global land monitoring.
Research Focus
Key Achievements
Top Papers
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