Hiroshi Tani
Papers
2
Total Citations
11
H-Index
2
About
Dr. Hiroshi Tani is a leading figure in satellite remote sensing, whose work is pivotal to the accurate monitoring of greenhouse gases. His research centers on the development of advanced algorithms for aerosol optical depth (AOD) retrieval, a critical factor in correcting atmospheric interference in space-based observations. Dr. Tani’s major contributions include the creation of a Modified Aerosol Free Vegetation Index (AFVI) algorithm, which enabled precise AOD retrieval over land using data from the GOSAT TANSO-CAI sensor. He further refined this work by developing a dedicated Dark Target (DT) algorithm for the same sensor, specifically designed to retrieve AOD over dark vegetated surfaces. These innovations are essential for the GOSAT mission, as they allow for the accurate detection and correction of cloud and aerosol interference, directly improving the reliability of global greenhouse gas measurements. While his most cited papers (with 6 and 5 citations respectively) represent foundational work, their impact is profound, providing the methodological backbone for operational aerosol correction. Dr. Tani’s algorithms are a cornerstone for scientists working to understand the Earth’s carbon cycle and climate system.
Research Focus
Key Achievements
Top Papers
- 1
- 2