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Science Impact of Modis C5 Calibration Degradation and C6+ Improvements : Volume 7, Issue 7 (18/07/2014)

By Lyapustin, A.

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Book Id: WPLBN0004000272
Format Type: PDF Article :
File Size: Pages 39
Reproduction Date: 2015

Title: Science Impact of Modis C5 Calibration Degradation and C6+ Improvements : Volume 7, Issue 7 (18/07/2014)  
Author: Lyapustin, A.
Volume: Vol. 7, Issue 7
Language: English
Subject: Science, Atmospheric, Measurement
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2014
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Tucker, J., Franz, B., Platnick, S., Hilker, T., Korkin, S., Xiong, X.,...Angal, A. (2014). Science Impact of Modis C5 Calibration Degradation and C6+ Improvements : Volume 7, Issue 7 (18/07/2014). Retrieved from http://www.worldebookfair.com/


Description
Description: NASA Goddard Space Flight Center, Greenbelt, Maryland, USA. The Collection 6 (C6) MODIS land and atmosphere datasets are scheduled for release in 2014. C6 contains significant revisions of the calibration approach to account for sensor aging. This analysis documents the presence of systematic temporal trends in the visible and near-infrared (500 m) bands of the Collection 5 (C5) MODIS Terra, and to lesser extent, in MODIS Aqua geophysical datasets. Sensor degradation is largest in the Blue band (B3) of the MODIS sensor on Terra and decreases with wavelength. Calibration degradation causes negative global trends in multiple MODIS C5 products including the dark target algorithm's aerosol optical depth over land and Ångström Exponent over the ocean, global liquid water and ice cloud optical thickness, as well as surface reflectance and vegetation indices, including the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI). As the C5 production will be maintained for another year in parallel with C6, one objective of this paper is to raise awareness of the calibration-related trends for the broad MODIS user community. The new C6 calibration approach removes major calibrations trends in the Level 1B (L1B) data. This paper also introduces an enhanced C6+ calibration of the MODIS dataset which includes an additional polarization correction (PC) to compensate for the increased polarization sensitivity of MODIS Terra since about 2007, as well as de-trending and Terra–Aqua cross-calibration over quasi-stable desert calibration sites. The PC algorithm, developed by the MODIS ocean biology processing group (OBPG), removes residual scan angle, mirror side and seasonal biases from aerosol and surface reflectance (SR) records along with spectral distortions of SR. Using the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm over deserts, we have also developed a de-trending and cross-calibration method which removes residual decadal trends on the order of several tenths of one percent of the top-of-atmosphere (TOA) reflectance in the visible and near-infrared MODIS bands B1–B4, and provides a good consistency between the two MODIS sensors. MAIAC analysis over the southern USA shows that the C6+ approach removed an additional negative decadal trend of Terra ΔNDVI ~ 0.01 as compared to Aqua data. This change is particularly important for analysis of vegetation dynamics and trends in the tropics, e.g., Amazon rainforest, where the morning orbit Terra provides considerably more cloud-free observations compared to the afternoon Aqua measurements.

Summary
Science impact of MODIS C5 calibration degradation and C6+ improvements

Excerpt
Franz, B. A., Kwiatkowska, E. J., Meister, G., and McClain, C. R.: Moderate Resolution Imaging Spectroradiometer on Terra: limitations for ocean color applications, J. Appl. Remote Sens., 2, 023525, doi:10.1117/1.2957964, 2008.; Gordon, H. R., Du, T., and Zhang, T.: Atmospheric correction of ocean color sensors: analysis of the effects of residual instrument polarization sensitivity, Appl. Optics, 36, 6938–6948, 1997.; Hilker, T., Lyapustin, A. I., Tucker, C. J., Sellers, P. J., Hall, F. G., and Wang, Y.: Remote sensing of tropical ecosystems: atmospheric correction and cloud masking matter, Remote Sens. Environ., 127, 370–384, doi:10.1016/j.rse.2012.08.035, 2012.; Hilker, T., Lyapustin, A. I., Tucker, C. J., Hall, F. G., Myneni, R. B., Wang, Y., Bi, J., and Sellers, P. J.: Vegetation dynamics and rainfall sensitivity of the Amazon, P. Natl. Acad. Sci. USA, in review, 2014.; Holben, B. N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – a federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16, 1998.; Hubanks, P., King, M. D., Platnick, S., and Pincus, R.: MODIS Algorithm Theoretical Basis Document No. ATBD-MOD-30 for Level-3 Global Gridded Atmosphere Products, 08_D3, 08_E3, 08_M3, available at: modis-atmos.gsfc.nasa.gov/_docs/L3_ATBD_2008_12_04.pdf (December 2008), 2008.; Jeong, M.-J., Hsu, N. C., Kwiatkowska, E. J., Franz, B. A., and Meister, G.: Impacts of cross-platform vicarious calibration on the deep blue aerosol retrievals for MODIS aboard Terra, IEEE T. Geosci. Remote, 49, 4877–4888, doi:10.1109/TGRS.2011.2153205, 2011.; Kahn, R. A., Gaitley, B. J., Garay, M. J., Diner, D. J., Eck, T., Smirnov, A., and Holben, B. N.: MISR global aerosol product assessment by comparison with Aerosol Robotic Network, J. Geophys. Res., 115, D23209, doi:10.1029/2010JD014601, 2010.; King, M. D., Platnick, S., Menzel, W. P., Ackerman, S. A., and Hubanks, P. A.: Spatial and temporal distribution of clouds observed by MODIS onboard the Terra and Aqua satellites, IEEE T. Geosci. Remote, 51, 3826–3852, doi:10.1109/TGRS.2012.2227333, 2013.; Korkin, S., Lyapustin, A., and Rozanov, V.: APC: A new code for atmospheric polarization computations, J. Quant. Spectrosc. Ra., 127, 1–11, 2013.; Kwiatkowska, E. J., Franz, B. A., Meister, G., McClain, C. R., and Xiong, X.:. Cross calibration of ocean-color bands from Moderate Resolution Imaging Spectroradiometer on Terra platform, Appl. Optics, 47, 6796–6810, 2008.; Levy, R. C., Remer, L. A., Kleidman, R. G., Mattoo, S., Ichoku, C., Kahn, R., and Eck, T. F.: Global evaluation of the Collection 5 MODIS dark-target aerosol products over land, Atmos. Chem. Phys., 10, 10399–10420, doi:10.5194/acp-10-10399-2010, 2010.; Levy, R. C., Mattoo, S., Munchak, L. A., Remer, L. A., Sayer, A. M., Patadia, F., and Hsu, N. C.: The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989–3034, doi:10.5194/amt-6-2989-2013, 2013.; Liu, H. Q. and Huete, A.: A feedback based modification of the NDVI to minimize canopy background and atmospheric noise, IEEE T. Geosci. Remote, 33, 457–465, 1985.; Lyapustin, A., Wang, Y., and Frey, R.: An automatic cloud mask algorithm based on time series of MODIS measurements, J. Geophys. Res., 113, D16207, doi:

 

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