Enhanced Deep Blue aerosol retrieval algorithm: The second generation
Goddard Space Flight Center · Gangneung–Wonju National University · +5 more institutions
Abstract
The aerosol products retrieved using the Moderate Resolution Imaging Spectroradiometer (MODIS) collection 5.1 Deep Blue algorithm have provided useful information about aerosol properties over bright‐reflecting land surfaces, such as desert, semiarid, and urban regions. However, many components of the C5.1 retrieval algorithm needed to be improved; for example, the use of a static surface database to estimate surface reflectances. This is particularly important over regions of mixed vegetated and nonvegetated surfaces, which may undergo strong seasonal changes in land cover. In order to address this issue, we develop a hybrid approach, which takes advantage of the combination of precalculated surface…
Citation impact
- FWCI
- 24.48
- Percentile
- 100%
- References
- 41
Authors
8- NCN. Christina HsuCorresponding
Goddard Space Flight Center
- MJMyeong-Jae Jeong
Gangneung–Wonju National University
- CBC. Bettenhausen
Goddard Space Flight Center, Science Systems and Applications (United States)
- AMA. M. Sayer
Goddard Space Flight Center, Universities Space Research Association
- RARichard A. Hansell
Goddard Space Flight Center, Earth System Science Interdisciplinary Center
Topics & keywords
- AERONET
- Aerosol
- Deep blue
- Remote sensing
- Environmental science
- SeaWiFS
- Spectroradiometer
- Moderate-resolution imaging spectroradiometer
- Life below water