Julia Chang
Papers
1
Total Citations
5
H-Index
1
About
Dr. Julia Chang’s research centers on atmospheric correction and radiometric calibration for satellite remote sensing, with a particular focus on improving the accuracy of surface reflectance retrieval. Her most cited work, “A path radiance estimation algorithm using reflectance measurements in radiometric control areas” (2011), introduces a novel method that leverages ground-based reflectance data from radiometric control areas (RCAs) to estimate path radiance more reliably than traditional dark object subtraction (DOS) techniques. This contribution directly addresses a persistent challenge in optical remote sensing—separating atmospheric from surface signals—and offers a practical, field-validated alternative for scenes lacking dark targets. While her citation count remains modest, the work’s methodological rigor has influenced subsequent studies in vicarious calibration and atmospheric correction over heterogeneous landscapes. Dr. Chang’s research is particularly valuable for applications in land cover monitoring and environmental change detection, where accurate surface reflectance is critical. Her approach exemplifies the integration of in-situ measurements with satellite data, bridging ground truth and remote sensing theory.
Research Focus
Key Achievements
Top Papers
- 1