A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data
Abstract
:1. Introduction
2. General Principle
3. Data and Algorithm
3.1. GOSAT TANSO-CAI
3.2. AERONET AOD Data
3.3. Atmospheric Correction of Collocated TANSO-CAI/AERONET Data
3.4. Relationship between TOA Reflectance at 1.6 μm and Surface Reflectance at 0.67 μm
3.5. The Modified AFRI1.6 Algorithm
3.6. The Look-Up Table
3.7. AOD Retrieval
4. Results and Discussion
4.1. Case Study over South Asia
4.2. Comparison of Retrieved AOD with AERONET Measurements
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Site Name | Longitude (Decimal_Degrees) | Latitude (Decimal_Degrees) | Elevation (Meters) |
---|---|---|---|
Alta_Floresta S, V | −56.10 | −9.87 | 277 |
Appalachian_State S, V | −81.69 | 36.21 | 1080 |
Aubiere_LAMP S | 3.11 | 45.76 | 423 |
Belsk V | 20.79 | 51.84 | 190 |
Chiang_Mai_Met_Sta V | 98.97 | 18.77 | 312 |
CLUJ_UBB S | 23.55 | 46.77 | 405 |
Dhaka_University V | 90.40 | 23.73 | 34 |
DRAGON_Mt_Rokko V | 135.23 | 34.76 | 760 |
Gandhi_College V | 84.13 | 25.87 | 60 |
Georgia_Tech S | −84.40 | 33.78 | 294 |
Gorongosa V | 34.35 | −18.98 | 30 |
Harvard_Forest V | −72.19 | 42.53 | 322 |
Ilorin V | 4.34 | 8.32 | 350 |
Palaiseau S | 2.21 | 48.70 | 156 |
Timisoara S, V | 21.23 | 45.75 | 122 |
Tomsk_22 V | 84.07 | 56.42 | 80 |
UAHuntsville S | −86.65 | 34.73 | 223 |
Ubon_Ratchathani S | 104.87 | 15.25 | 120 |
Ussuriysk V | 132.16 | 43.70 | 280 |
Vientiane V | 102.57 | 17.99 | 170 |
XiangHe V | 116.96 | 39.75 | 36 |
Xinglong V | 117.58 | 40.40 | 970 |
Region | N | Mean AERONET AOD | r | RMSE | MBE | EE1 | EE2 | EE3 |
---|---|---|---|---|---|---|---|---|
East Asia | 49 | 0.282 | 0.927 | 0.178 | 0.055 | 36.7% | 38.8% | 59.2% |
Southeast Asia | 76 | 0.646 | 0.911 | 0.159 | 0.018 | 56.6% | 65.8% | 77.6% |
South Asia | 31 | 0.915 | 0.857 | 0.343 | 0.264 | 35.5% | 54.8% | 51.6% |
North Asia | 26 | 0.307 | 0.949 | 0.129 | −0.073 | 38.5% | 42.3% | 61.5% |
South Africa | 11 | 0.283 | 0.578 | 0.167 | −0.119 | 9.1% | 36.4% | 54.5% |
Europe | 45 | 0.217 | 0.753 | 0.213 | 0.114 | 46.7% | 51.1% | 60.0% |
South America | 9 | 0.067 | 0.639 | 0.102 | 0.091 | 33.3% | 33.3% | 66.7% |
North America | 53 | 0.102 | 0.377 | 0.164 | −0.018 | 66.0% | 71.7% | 83.0% |
Total | 300 | 0.381 | 0.912 | 0.196 | 0.052 | 48.0% | 55.0% | 67.7% |
AODs | N | EE1 | EE2 | EE3 | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Below | Within | Above | Below | Within | Above | Below | Within | Above | ||
AOD < 0.6 | 238 | 23.1% | 44.5% | 32.4% | 21.0% | 48.3% | 30.7% | 12.2% | 64.7% | 23.1% |
AOD > 0.6 | 62 | 3.2% | 61.3% | 33.9% | 0% | 80.6% | 19.4% | 0% | 79.0% | 20.9% |
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Zhong, G.; Wang, X.; Tani, H.; Guo, M.; Chittenden, A.R.; Yin, S.; Sun, Z.; Matsumura, S. A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data. Remote Sens. 2016, 8, 998. https://doi.org/10.3390/rs8120998
Zhong G, Wang X, Tani H, Guo M, Chittenden AR, Yin S, Sun Z, Matsumura S. A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data. Remote Sensing. 2016; 8(12):998. https://doi.org/10.3390/rs8120998
Chicago/Turabian StyleZhong, Guosheng, Xiufeng Wang, Hiroshi Tani, Meng Guo, Anthony R. Chittenden, Shuai Yin, Zhongyi Sun, and Shinji Matsumura. 2016. "A Modified Aerosol Free Vegetation Index Algorithm for Aerosol Optical Depth Retrieval Using GOSAT TANSO-CAI Data" Remote Sensing 8, no. 12: 998. https://doi.org/10.3390/rs8120998