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Chang, Tiejun, Xiong, Xiaoxiong, Shrestha, Ashish, Perez Diaz, Carlos (2020) Methodology Development for Calibration Assessment Using Quasi‐Deep Convective Clouds With Application to Aqua MODIS TEB. Earth and Space Science, 7 (1). doi:10.1029/2019ea001055

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Reference TypeJournal (article/letter/editorial)
TitleMethodology Development for Calibration Assessment Using Quasi‐Deep Convective Clouds With Application to Aqua MODIS TEB
JournalEarth and Space Science
AuthorsChang, TiejunAuthor
Xiong, XiaoxiongAuthor
Shrestha, AshishAuthor
Perez Diaz, CarlosAuthor
Year2020 (January)Volume7
Issue1
PublisherAmerican Geophysical Union (AGU)
DOIdoi:10.1029/2019ea001055Search in ResearchGate
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Mindat Ref. ID3048695Long-form Identifiermindat:1:5:3048695:5
GUID0
Full ReferenceChang, Tiejun, Xiong, Xiaoxiong, Shrestha, Ashish, Perez Diaz, Carlos (2020) Methodology Development for Calibration Assessment Using Quasi‐Deep Convective Clouds With Application to Aqua MODIS TEB. Earth and Space Science, 7 (1). doi:10.1029/2019ea001055
Plain TextChang, Tiejun, Xiong, Xiaoxiong, Shrestha, Ashish, Perez Diaz, Carlos (2020) Methodology Development for Calibration Assessment Using Quasi‐Deep Convective Clouds With Application to Aqua MODIS TEB. Earth and Space Science, 7 (1). doi:10.1029/2019ea001055
In(2020, January) Earth and Space Science Vol. 7 (1) American Geophysical Union (AGU)

See Also

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Chang, Tiejun, Xiong, Xiaoxiong, Shrestha, Ashish, Diaz, Carlos Perez (2021) Normalization Method and Application for MODIS TEB Assessments Using Earth Scene Measurements. Earth and Space Science, 8 (5) doi:10.1029/2020ea001539
Perez Diaz, Carlos L., Xiong, Xiaoxiong, Wu, Aisheng, Chang, Tiejun (2022) Terra and Aqua MODIS Thermal Emissive Bands Calibration and RVS Stability Assessments Using an In Situ Ocean Target. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-14 doi:10.1109/tgrs.2021.3072791
Chang, Tiejun, Xiong, Xiaoxiong (Jack), Angal, Amit, Mu, Qiaozhen (2016) Assessment of MODIS RSB detector uniformity using deep convective clouds. Journal of Geophysical Research: Atmospheres, 121 (9). 4783-4796 doi:10.1002/2015jd024652
Angal, Amit, Xiong, Xiaoxiong, Shrestha, Ashish (2020) Cross-Calibration of MODIS Reflective Solar Bands With Sentinel 2A/2B MSI Instruments. IEEE Transactions on Geoscience and Remote Sensing, 58 (7) 5000-5007 doi:10.1109/tgrs.2020.2971462
Chang, Tiejun, Xiong, Xiaoxiong, Angal, Amit, Wu, Aisheng, Geng, Xu (2017) Aqua and Terra MODIS RSB Calibration Comparison Using BRDF Modeled Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 55 (4) 2288-2298 doi:10.1109/tgrs.2016.2641258
Chang, Tiejun, Xiong, Xiaoxiong (2011) Assessment of MODIS Thermal Emissive Band On-Orbit Calibration. IEEE Transactions on Geoscience and Remote Sensing, 49 (6) 2415-2425 doi:10.1109/tgrs.2010.2098881
Chang, Tiejun, Xiong, Xiaoxiong, Mu, Qiaozhen (2016) VIIRS Reflective Solar Band Radiometric and Stability Evaluation Using Deep Convective Clouds. IEEE Transactions on Geoscience and Remote Sensing, 54 (12) 7009-7017 doi:10.1109/tgrs.2016.2594029
Chang, Tiejun, Xiong, Xiaoxiong (2019) GOES‐16/ABI Thermal Emissive Band Assessments Using GEO‐LEO‐GEO Double Difference. Earth and Space Science, 6 (12). 2303-2316 doi:10.1029/2019ea000617
Mu, Qiaozhen, Wu, Aisheng, Xiong, Xiaoxiong, Doelling, David, Angal, Amit, Chang, Tiejun, Bhatt, Rajendra (2017) Optimization of a Deep Convective Cloud Technique in Evaluating the Long-Term Radiometric Stability of MODIS Reflective Solar Bands. Remote Sensing, 9 (6). doi:10.3390/rs9060535
Wu, Aisheng, Xiong, Xiaoxiong, Cao, Changyong, Chiang, Kwo-Fu (2016) Assessment of SNPP VIIRS VIS/NIR Radiometric Calibration Stability Using Aqua MODIS and Invariant Surface Targets. IEEE Transactions on Geoscience and Remote Sensing, 54 (5) 2918-2924 doi:10.1109/tgrs.2015.2508379
Xiong, Xiaoxiong, Angal, Amit, Chang, Tiejun, Chiang, Kwofu, Lei, Ning, Li, Yonghong, Sun, Junqiang, Twedt, Kevin, Wu, Aisheng (2020) MODIS and VIIRS Calibration and Characterization in Support of Producing Long-Term High-Quality Data Products. Remote Sensing, 12 (19). doi:10.3390/rs12193167
 
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