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Application of quasi-deep convective clouds method for VIIRS and MODIS TEB calibration assessments
Journal of Applied Remote Sensing ( IF 1.7 ) Pub Date : 2021-04-01 , DOI: 10.1117/1.jrs.15.024506
Tiejun Chang 1 , Carlos Perez Diaz 1 , Ashish Shrestha 1 , Xiaoxiong Xiong 2
Affiliation  

A technique that utilizes quasi-deep convective clouds (qDCC) for the calibration assessment of the thermal emissive bands (TEB) on remote sensing instruments has been proven viable. The Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) and Suomi-National Polar-orbiting Partnership (S-NPP) and NOAA-20 (N20) Visible Infrared Imaging Radiometer Suite (VIIRS) TEB calibration uses a nonlinear algorithm with nonlinear coefficients that rely on on-orbit blackbody (BB) warm-up and cool-down operations for updates. However, a limited BB temperature range affects the calibration’s accuracy, particularly for cold scenes. The deep convective clouds (DCC) core, one of the coldest Earth scenes, is suitable for MODIS calibration assessments, more specifically, for the evaluation of the offset term’s effect in its TEB quadratic calibration function. Moreover, nighttime qDCC measurements provide the advantage of removing solar reflectance effects during daytime, thus enhancing the assessment’s accuracy for the mid-wave infrared TEB. This qDCC method is applied to the Terra MODIS and VIIRS TEB, and their stabilities are assessed using long-term qDCC trending measurements over the instruments’ missions. The measurements from bands with an 11-μm wavelength are used to identify the DCC pixels. The 11-μm bands, MODIS band 31, and VIIRS bands M15 and I5 are stable throughout the MODIS and VIIRS missions and have shown excellent calibration accuracy and noise performance. Hence, using these bands as references, a normalization method is employed to enhance the accuracy of the stability and consistency assessments. The S-NPP VIIRS TEB show stable trends over the instrument’s mission. The S-NPP-to-N20 VIIRS comparison shows that their TEB measurements are consistent over qDCC. The Terra MODIS TEB also shows stable performance—except for bands 27, 29, and 30. Terra MODIS band 30 shows a large downward trend throughout the mission, whereas bands 27 and 29 show slight, upward drifts. Finally, a calibration correction using qDCC assessments is discussed and intended to be used in a future calibration algorithm collection.

中文翻译:

准深对流云方法在VIIRS和MODIS TEB标定评估中的应用

利用准深对流云(qDCC)对遥感仪器上的热发射带(TEB)进行校准评估的技术已被证明是可行的。Terra和Aqua中等分辨率成像光谱仪(MODIS)和国家科学极地合作伙伴计划(S-NPP)和NOAA-20(N20)可见红外成像辐射仪套件(VIIRS)TEB校准使用非线性算法,该算法依赖于非线性系数在轨黑体(BB)预热和冷却操作以进行更新。但是,有限的BB温度范围会影响校准的准确性,尤其是对于寒冷的场景。深对流云(DCC)核心是地球上最冷的场景之一,适用于MODIS校准评估,更具体地说,用于评估偏移项在其TEB二次校准函数中的作用。此外,夜间qDCC测量的优势在于消除了白天的太阳反射效应,从而提高了中波红外TEB评估的准确性。这种qDCC方法已应用于Terra MODIS和VIIRS TEB,并通过对仪器任务进行长期qDCC趋势测量来评估其稳定性。从波长为11μm的波段进行的测量用于识别DCC像素。11微米波段,MODIS波段31和VIIRS波段M15和I5在整个MODIS和VIIRS任务中均保持稳定,并显示出出色的校准精度和噪声性能。因此,以这些频段为参考,采用归一化方法可以提高稳定性和一致性评估的准确性。S-NPP VIIRS TEB在仪器的任务中显示出稳定的趋势。S-NPP与N20 VIIRS的比较表明,它们的TEB测量值在qDCC上是一致的。除27、29和30频段外,Terra MODIS TEB还表现出稳定的性能。TerraMODIS频段30在整个任务中呈现出较大的下降趋势,而27和29频段则表现出轻微的向上漂移。最后,讨论了使用qDCC评估的校准校正,并将其用于将来的校准算法集合中。30. Terra MODIS波段30在整个任务中显示出较大的下降趋势,而波段27和29显示出轻微的向上漂移。最后,讨论了使用qDCC评估的校准校正,并将其用于将来的校准算法集合中。30. Terra MODIS波段30在整个任务中显示出较大的下降趋势,而波段27和29显示出轻微的向上漂移。最后,讨论了使用qDCC评估的校准校正,并将其用于将来的校准算法集合中。
更新日期:2021-04-18
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