Assessment of MODIS on-orbit calibration using a deep convective cloud technique

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.

[1]  Rajendra Bhatt,et al.  Algorithm Theoretical Basis Document ( ATBD ) for Deep Convective Cloud ( DCC ) technique of calibrating GEO sensors with Aqua-MODIS for GSICS , 2011 .

[2]  Bertrand Fougnie,et al.  Monitoring of Radiometric Sensitivity Changes of Space Sensors Using Deep Convective Clouds: Operational Application to PARASOL , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Jun-Qiang Sun,et al.  MODIS reflective solar bands calibration algorithm and on-orbit performance , 2003, SPIE Asia-Pacific Remote Sensing.

[4]  Amit Angal,et al.  Response versus scan-angle corrections for MODIS reflective solar bands using deep convective clouds , 2016, SPIE Asia-Pacific Remote Sensing.

[5]  Amit Angal,et al.  Progress and lessons from MODIS calibration intercomparison using ground test sites , 2010 .

[6]  Amit Angal,et al.  Characterization of Terra and Aqua MODIS VIS, NIR, and SWIR Spectral Bands' Calibration Stability , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Xiaoxiong Xiong,et al.  An overview of sensor calibration inter-comparison and applications , 2010 .

[8]  Xiaoxiong Xiong,et al.  On-orbit performance and calibration improvements for the reflective solar bands of Terra and Aqua MODIS , 2016, SPIE Asia-Pacific Remote Sensing.

[9]  Yoram J. Kaufman,et al.  The MODIS Near-IR Water Vapor Algorithm , 1998 .

[10]  Hartmut H. Aumann,et al.  Observations of deep convective clouds as stable reflected light standard for climate research: AIRS evaluation , 2007, SPIE Optical Engineering + Applications.

[11]  Aisheng Wu,et al.  Examination of calibration performance of multiple POS sensors using measurements over the Dome C site in Antarctica , 2008, Remote Sensing.

[12]  Gerhard Meister,et al.  Point-spread function of the ocean color bands of the Moderate Resolution Imaging Spectroradiometer on Aqua. , 2010, Applied optics.

[13]  Amit Angal,et al.  Time-Dependent Response Versus Scan Angle for MODIS Reflective Solar Bands , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[14]  X. Xiong,et al.  Solar and lunar observation planning for Earth-observing sensor , 2011, Remote Sensing.

[15]  Ping Yang,et al.  Application of deep convective cloud albedo observation to satellite-based study of the terrestrial atmosphere: monitoring the stability of spaceborne measurements and assessing absorption anomaly , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Amit Angal,et al.  Analog and digital saturation in the MODIS reflective solar bands , 2012, Optics & Photonics - Optical Engineering + Applications.

[17]  X. Xiong,et al.  Alternative approach to characterize response versus scan-angle (RVS) for MODIS reflective solar bands , 2011, Remote Sensing.

[18]  Xiaoxiong Xiong,et al.  MODIS Reflective Solar Bands On-Orbit Lunar Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[19]  David R. Doelling,et al.  The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Xiaoxiong Xiong,et al.  Overview of NASA Earth Observing Systems Terra and Aqua moderate resolution imaging spectroradiometer instrument calibration algorithms and on-orbit performance , 2009 .

[21]  Patrick Minnis,et al.  On the use of deep convective clouds to calibrate AVHRR data , 2004, SPIE Optics + Photonics.

[22]  Amit Angal,et al.  Assessment of MODIS RSB detector uniformity using deep convective clouds , 2016 .