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Featured researches published by Qiaozhen Mu.
Remote Sensing | 2017
Qiaozhen Mu; Aisheng Wu; Xiaoxiong Xiong; David R. Doelling; Amit Angal; Tiejun Chang; Rajendra Bhatt
MODIS reflective solar bands are calibrated on-orbit using a solar diffuser and near-monthly lunar observations. To monitor the performance and effectiveness of the on-orbit calibrations, pseudo-invariant targets such as deep convective clouds (DCCs), Libya-4, and Dome-C are used to track the long-term stability of MODIS Level 1B product. However, the current MODIS operational DCC technique (DCCT) simply uses the criteria set for the 0.65-µm band. We optimize several critical DCCT parameters including the 11-µm IR-band Brightness Temperature (BT11) threshold for DCC identification, DCC core size and uniformity to help locate DCCs at convection centers, data collection time interval, and probability distribution function (PDF) bin increment for each channel. The mode reflectances corresponding to the PDF peaks are utilized as the DCC reflectances. Results show that the BT11 threshold and time interval are most critical for the Short Wave Infrared (SWIR) bands. The Bidirectional Reflectance Distribution Function model is most effective in reducing the DCC anisotropy for the visible channels. The uniformity filters and PDF bin size have minimal impacts on the visible channels and a larger impact on the SWIR bands. The newly optimized DCCT will be used for future evaluation of MODIS on-orbit calibration by MODIS Characterization Support Team.
Journal of Geophysical Research | 2016
Tiejun Chang; Xiaoxiong Xiong; Amit Angal; Qiaozhen Mu
For satellite sensor, the striping observed in images is typically associated with the relative multiple detector gain difference derived from the calibration. A method using deep convective cloud (DCC) measurements to assess the difference among detectors after calibration is proposed and demonstrated for select reflective solar bands (RSBs) of the Moderate Resolution Imaging Spectroradiometer (MODIS). Each detector of MODIS RSB is calibrated independently using a solar diffuser (SD). Although the SD is expected to accurately characterize detector response, the uncertainties associated with the SD degradation and characterization result in inadequacies in the estimation of each detectors gain. This work takes advantage of the DCC technique to assess detector uniformity and scan mirror side difference for RSB. The detector differences for Terra MODIS Collection 6 are less than 1% for bands 1, 3-5, and 18 and up to 2% for bands 6, 19, and 26. The largest difference is up to 4% for band 7. Most Aqua bands have detector differences less than 0.5% except bands 19 and 26 with up to 1.5%. Normally, large differences occur for edge detectors. The long-term trending shows seasonal oscillations in detector differences for some bands, which are correlated with the instrument temperature. The detector uniformities were evaluated for both unaggregated and aggregated detectors for MODIS band 1 and bands 3-7, and their consistencies are verified. The assessment results were validated by applying a direct correction to reflectance images. These assessments can lead to improvements to the calibration algorithm and therefore a reduction in striping observed in the calibrated imagery.
IEEE Transactions on Geoscience and Remote Sensing | 2016
Tiejun Chang; Xiaoxiong Xiong; Qiaozhen Mu
This work takes advantage of the stable distribution of deep convective cloud (DCC) reflectance measurements to assess the calibration stability and detector difference in Visible Infrared Imaging Radiometer Suite (VIIRS) reflective bands. VIIRS Sensor Data Records (SDRs) from February 2012 to June 2015 are utilized to analyze the long-term trending, detector difference, and half angle mirror (HAM) side difference. VIIRS has two thermal emissive bands with coverage crossing 11 μm for DCC pixel identification. The comparison of the results of these two processing bands is one of the indicators of analysis reliability. The long-term stability analysis shows downward trends (up to approximately 0.4% per year) for the visible and near-infrared bands and upward trends (up to 0.5% per year) for the shortand midwave infrared bands. The detector difference for each band is calculated as the difference relative to the average reflectance over all detectors. Except for the slightly greater than 1% difference in the two bands at 1610 nm, the detector difference is less than 1% for other solar reflective bands. The detector differences show increasing trends for some short-wave bands with center wavelengths from 400 to 600 nm and remain unchanged for the bands with longer center wavelengths. The HAM side difference is insignificant and stable. Those short-wave bands from 400 to 600 nm also have relatively larger HAM side difference, up to 0.25%. Comparing the striped images from SDR and the smooth images after the correction validates the analyses of detector difference and HAM side difference. These analyses are very helpful for VIIRS calibration improvement and thus enhance product quality.
Proceedings of SPIE | 2016
Qiaozhen Mu; Aisheng Wu; Tiejun Chang; Amit Angal; Daniel Link; Xiaoxiong Xiong; David R. Doelling; Rajendra Bhatt
The MODerate Resolution Imaging Spectroradiometer (MODIS) sensors onboard Terra and Aqua satellites are calibrated on-orbit with a solar diffuser (SD) for the reflective solar bands (RSB). The MODIS sensors are operating beyond their designed lifetime and hence present a major challenge to maintain the calibration accuracy. The degradation of the onboard SD is tracked by a solar diffuser stability monitor (SDSM) over a wavelength range from 0.41 to 0.94 μm. Therefore, any degradation of the SD beyond 0.94 μm cannot be captured by the SDSM. The uncharacterized degradation at wavelengths beyond this limit could adversely affect the Level 1B (L1B) product. To reduce the calibration uncertainties caused by the SD degradation, invariant Earth-scene targets are used to monitor and calibrate the MODIS L1B product. The use of deep convective clouds (DCCs) is one such method and particularly significant for the short-wave infrared (SWIR) bands in assessing their long-term calibration stability. In this study, we use the DCC technique to assess the performance of the Terra and Aqua MODIS Collection-6 L1B for RSB 1 3-7 , and 26, with spectral coverage from 0.47 to 2.13 μm. Results show relatively stable trends in Terra and Aqua MODIS reflectance for most bands. Careful attention needs to be paid to Aqua band 1, Terra bands 3 and 26 as their trends are larger than 1% during the study time period. We check the feasibility of using the DCC technique to assess the stability in MODIS bands 17-19. The assessment test on response versus scan angle (RVS) calibration shows substantial trend difference for Aqua band 1between different angles of incidence (AOIs). The DCC technique can be used to improve the RVS calibration in the future.
Proceedings of SPIE | 2015
Xiaoxiong Xiong; Amit Angal; Jon Fulbright; Ning Lei; Qiaozhen Mu; Zhipeng Wang; Aisheng Wu
Both MODIS and VIIRS use a solar diffuser (SD) to calibrate their reflective solar bands (RSB), covering wavelengths from 0.41 to 2.3 μm. On-orbit changes of the SD bi-directional reflectance factor (BRF) are tracked by an on-board solar diffuser stability monitor (SDSM). The current SDSM design only covers the spectral range from 0.41 to 0.93 μm. In general, the SD degradation is strongly wavelength-dependent with larger degradation occurring at shorter wavelengths, and the degradation in the SWIR region is expected to be extremely small. As each mission continues, however, the impact due to SD degradation at SWIR needs to be carefully examined and the correction if necessary should be applied in order to maintain the calibration quality. For Terra MODIS, alternative approaches have been developed and used to estimate the SD degradation for its band 5 at 1.24 μm and a time-dependent correction has already been applied to the current level 1B (L1B) collection 6 (C6). In this paper, we present different methodologies that can be used to examine the SD degradation and their applications for both Terra and Aqua MODIS and S-NPP VIIRS SWIR calibration. These methodologies include but not limited to the use of lunar observations, Pseudo Invariant Calibration Sites (PICS), and deep convective clouds (DCC). A brief description of relative approaches and their use is also provided in this paper.
Sensors, Systems, and Next-Generation Satellites XXII | 2018
Tiejun Chang; Xiaoxiong Xiong; Ashish Shrestha; Aisheng Wu; Na Chen; Yonghong Li; Qiaozhen Mu
Terra MODIS has provided continuous global observations for science research and applications for more than 18 years. The MODIS Thermal emissive bands (TEB) radiometric calibration uses a quadratic function for instrument response. The calibration coefficients are updated using the response of an on-board blackbody (BB) in quarterly warm-up and cool-down (WUCD) events. As instrument degradation and electronic crosstalk of long-wave infrared (LWIR) bands 27 to 30 developed substantial issues, accurate calibration is crucial for a high-quality L1B product. The on-board BB WUCD temperature ranges from 270 K to 315 K and the derived nonlinear response has a relatively large uncertainty for the offset, especially for these LWIR bands, which affects the measurements of low brightness temperature (BT) scenes. In this study, the TEB radiometric calibration impact on the L1B product is assessed using selected cold targets and the measurements during regular lunar rolls. The cold targets include Antarctic Dome Concordia (Dome-C) and deep convective clouds (DCC) for the calibration assessment, focusing on bands 27 to 30. Dome-C area is covered with uniformly-distributed permanent snow, and the atmospheric effect is small and relatively constant. Usually the DCC is treated as an invariant earth target to evaluate the reflective solar band calibration. The DCC can also be treated as a stable target to assess the performance of TEB calibration. During a scheduled lunar observation event with a spacecraft roll maneuver to view the moon through the space view port, the instrument cavity provides a stable reference for calibration assessment. The long-term trending of BT measurements and the relative difference between scan mirror sides and detectors are used for the assessment of the calibration consistency and stability. The comparison of L1B products over the selected targets before and after the calibration coefficients update can be used to assess the impact of a calibration look-up table (LUT) update. This assessment is beneficial for future calibration algorithm and LUT update procedure improvements for enhancing the L1B product quality.
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV | 2018
Amit Angal; Xu Geng; Aisheng Wu; Xiaoxiong Xiong; Qiaozhen Mu
The reflective solar bands (RSB) of the MODIS instruments on the Terra and Aqua spacecraft support a variety of science applications. The RSB are primarily calibrated using regularly scheduled solar diffuser (SD) and lunar observations. As the instruments continue to operate beyond their designed life, significant degradation of the instrument gain is observed, particularly at the short wavelengths. In recent years, the onboard calibrators are insufficient in accurately characterizing the response versus scan-angle (RVS) for the RSB. Therefore, the MODIS Characterization Support Team (MCST) has implemented an enhanced approach whereby the on-board measurements are supplemented by observations of the pseudo-invariant calibration sites in Northern Africa to better characterize the on-orbit RVS changes in Level 1B Collection 6 and Collection 6.1 for select short and near-infrared bands of both MODIS instruments. This paper explores the use of alternative Earth-scene targets to characterize the on-orbit RVS. In particular, an alternative version of the on-orbit RVS, with the desert data substituted with the measurements from deep convective clouds (DCC), has been formulated and implemented. Results from this version are compared with the operational C6.1 algorithm. The long-term reflectance trends from the Dome Concordia (Dome C) site in Antarctica are derived using both versions and evaluated for long-term stability for independent assessments. Due to the Earth-scene saturation from the high-gain bands, the paper only focusses on the comparisons for bands 1, 3 and 4 of both MODIS instruments. This study finds that DCC can be used as alternative invariant ground targets in MODIS RVS characterization for these bands.
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV | 2018
Qiaozhen Mu; Tiejun Chang; Aisheng Wu; Xiaoxiong Xiong
The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) satellite has operated successfully since its launch in October, 2011. The calibration using regular solar diffuser (SD) observations for the 14 reflective solar bands facilitates the generation of high-quality calibrated products, known as sensor data records (SDR). As SNPP VIIRS nears six years on-orbit, monitoring the on-orbit calibration performance using multiple techniques is vital. One such technique, using the deep convective clouds (DCC), has been widely used to monitor the on-orbit calibration performance of earth observing sensors, such as the MODIS instrument on Terra and Aqua spacecrafts. In this study, the DCC technique is utilized to evaluate the stability of SNPP VIIRS SDR reflectance product for 10 moderate resolution bands (M-bands, M1–M5 and M7– M11) and three imaging bands (I-bands, I1–I3). An empirical Bidirectional Reflectance Distribution Function (BRDF) correction for the long-term reflectance measurements over DCC is formulated and implemented. The fluctuation in the long-term trending is analyzed to evaluate the uncertainties. The BRDF-corrected reflectances over DCC are used to evaluate the stability of the response versus scan-angle (RVS) and its effects in the SDR products. The RVS effects are analyzed based on the difference in mode reflectances over DCC among six different frame zones. Results indicate that the RVS effects should be monitored for an improved VIIRS RSB calibration in the future.
Journal of Applied Remote Sensing | 2018
Qiaozhen Mu; Xiaoxiong Xiong; Tiejun Chang; Aisheng Wu
IEEE Transactions on Geoscience and Remote Sensing | 2018
Amit Angal; Xiaoxiong Xiong; Qiaozhen Mu; David R. Doelling; Rajendra Bhatt; Aisheng Wu