Skip to main content
Have a personal or library account? Click to login
Influence of observation angle change on satellite retrieval of aerosol optical depth Cover

Influence of observation angle change on satellite retrieval of aerosol optical depth

By: ,  ,   and    
Open Access
|Jan 2021

References

  1. Abdou, W. A. , Diner, D. J. , Martonchik, J. V. , Bruegge, C. J. , Kahn, R. A. and co-authors. 2005. Comparison of coincident multiangle imaging spectroradiometer and moderate resolution imaging spectroradiometer aerosol optical depths over land and ocean scenes containing aerosol robotic network sites. J. Geophys. Res. 110, 112.
  2. Abelleyra, D. and Verón, S. R. 2014. Comparison of different Brdf correction methods to generate daily normalized Modis 250m time series. Remote Sens. Environ. 140, 4659. doi:10.1016/j.rse.2013.08.019
  3. Angal, A. , Xiong, X. and Wu, A. 2016. Monitoring the on-orbit calibration of terra MODIS reflective solar bands using simultaneous terra MISR observations. IEEE Trans. Geosci. Remote Sens. , 112.
  4. Ångström, A. 1964. The parameters of atmospheric turbidity. Tellus . 16, 6475.
  5. Cohen, J. B. , Wang, C. and Prinn, R. G. 2010. The impact of detailed urban-scale processing on the aerosol direct effect and its impacts on the climate. In: AGU Fall Meeting. Abstracts.
  6. Diner, D. J. , Bruegge, C. J. , Martonchik, J. V. , Bothwell, G. W. , Danielson, E. D. and co-authors. 1991. A multi-angle imaging spectroradiometer for terrestrial remote sensing from the earth observing system. Int. J. Imaging Syst. Technol. 3, 92107. John Wiley & sons Inc, USA, NJ. doi:10.1002/ima.1850030206
  7. Diner, D. J. , Beckert, J. C. , Reilly, T. H. , Bruegge, C. J. , Conel, J. E. and co-authors. 1998. Multi-angle imaging SpectroRadiometer (MISR) instrument description and experiment overview. IEEE Trans. Geosci. Remote Sens. 36, 10721087. doi:10.1109/36.700992
  8. Eck, T. F. , Holben, B. N. , Reid, J. S. , Dubovik, O. , Smirnov, A. and co-authors. 1999. Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols. J. Geophys. Res. 104, 3133331349. doi:10.1029/1999JD900923
  9. Gao, F. , Jin, Y. , Schaaf, C. B. and Strahler, A. H. 2002. Bidirectional ndvi and atmospherically resistant BRDF inversion for vegetation canopy. IEEE Trans. Geosci. Remote Sens. 40, 12691278.
  10. Garay, M. J. , Bull, M. A. , Nastan, A. M. , Witek, M. L. , Seidel, F. C. and co-authors. 2018. Data Product Specification for the MISR Level 2Aerosol Product.
  11. Garay, M. J. , Witek, M. L. , Kahn, R. A. , Seidel, F. C. , Limbacher, J. A. and co-authors. 2020. Introducing the 4.4 km spatial resolution multi-angle imaging SpectroRadiometer (MISR) aerosol product. Atmos. Meas. Tech. 13, 593628. doi:10.5194/amt-13-593-2020
  12. Goloub, P. , Tanre, D. , Deuze, J. L. , Herman, M. , Marchand, A. and co-authors. 1999. Validation of the first algorithm applied for deriving the aerosol properties over the ocean using the polder/adeos measurements. IEEE Trans. Geosci. Remote Sens. 37, 15861596. doi:10.1109/36.763270
  13. He, J. , Zha, Y. , Zhang, J. , Gao, J. , Li, Y. and co-authors. 2015. Retrieval of aerosol optical thickness from hj-1 CCD data based on MODIS-derived surface reflectance. Int. J. Remote Sens. 36, 882898. doi:10.1080/01431161.2014.999171
  14. Kahn, R. A. , Garay, M. J. , Nelson, D. L. , Yau, K. K. , Bull, M. A. and co-authors. 2007. Satellite-derived aerosol optical depth over dark water from MISR and MODIS:  Comparisons with aeronet and implications for climatological studies. J. Geophys. Res. 112, D18205. doi:10.1029/2006JD008175.
  15. Kaufman, Y. J. , Tanré, D. , Remer, L. A. , Vermote, E. F. , Chu, A. and co-authors. 1997. Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer. J. Geophys. Res. 102, 1705117067. doi:10.1029/96JD03988
  16. Lee, H. H. , Iraqui, O. , Gu, Y. , Yim, S. H. L. and Wang, C. 2017. Impacts of particulate pollution from fossil fuel and biomass burnings on the air quality and human health in Southeast Asia. In: AGU Fall Meeting. Abstracts.
  17. Li, Z. , Zhao, X. , Kahn, R. , Mishchenko, M. , Remer, L. and co-authors. 2009. Uncertainties in satellite remote sensing of aerosols and impact on monitoring its longterm trend: A review and perspective. Ann. Geophys. 27, 27552770. doi:10.5194/angeo-27-2755-2009
  18. Loehnert, U. , Ebell, K. and Orlandi, E. 2015. Improving the retrieval of atmospheric stability indices by combining ground-based and satellite remote sensing. In: AGU Fall Meeting. Abstracts.
  19. Martonchik, J. V. , Diner, D. J. , Crean, K. A. and Bull, M. A. 2002. Regional aerosol retrieval results from MISR. IEEE Trans. Geosci. Remote Sens. 40, 15201531. doi:10.1109/TGRS.2002.801142
  20. Martonchik, J. V. , Diner, D. J. , Kahn, R. A. , Gaitley, B. J. and Holben, B. N. 2004. Comparison of MISR and AERONET aerosol optical depths over desert sites. Geophys. Res. Lett. 31, 171184.
  21. Monique, W. , Amanda, V. , Krassimir, B. , Sabrina, L. , Prue, T. and co-authors. 2013. Metal and silicate particles including nanoparticles are present in electronic cigarette cartomizer fluid and aerosol. PLoS One . 8, e57987.
  22. Prasad, A. K. and Singh, R. P. 2007. Comparison of MISR-MODIS aerosol optical depth over the Indo-Gangetic basin during the winter and summer seasons (2000–2005). Remote Sens. Environ. 107, 109119. doi:10.1016/j.rse.2006.09.026
  23. She, L. , Xue, Y. , Yang, X. , Leys, J. , Guang, J. and co-authors. 2019. Joint retrieval of aerosol optical depth and surface reflectance over land using geostationary satellite data. IEEE Trans. Geosci. Remote Sens. 57, 14891501. doi:10.1109/TGRS.2018.2867000
  24. Shinozuka, Y. , Redemann, J. , Livingston, J. M. , Russell, P. B. and Mcarthur, L. J. B. 2010. Airborne observation of aerosol optical depth during ARCTAS: Vertical profiles, inter-comparison, fine-mode fraction and horizontal variability. Atmos. Chem. Phys. 10, 1831518363.
  25. Sun, L. , Sun, C. K. , Liu, Q. H. and Zhong, B. 2010. Aerosol optical depth retrieval by HJ-1/CCD supported by MODIS surface reflectance data. Sci. China Earth Sci. 53, 7480. doi:10.1007/s11430-010-4134-5
  26. Tang, W. , Yang, K. , Qin, J. , Niu, X. , Lin, C. and co-authors. 2017. A revisit to decadal change of aerosol optical depth and its impact on global radiation over china. Atmos. Environ. 150, 106e115. doi:10.1016/j.atmosenv.2016.11.043
  27. Tian, X. , Liu, S. , Sun, L. and Qiang, L. 2018. Retrieval of aerosol optical depth in the arid or semiarid region of Northern Xinjiang, China. Remote Sens. 10, 197. doi:10.3390/rs10020197
  28. Tian, X. , Liu, Q. , Gao, Z. , Wang, Y. and Wei, J. 2020. Improving MODIS aerosol estimates over land with the surface BRDF reflectances using the three-dimensional discrete cosine transform and RossThick-LiSparse models. IEEE Transactions on Geoscience and Remote Sensing.
  29. Wang, Z. , Li, Q. , Wang, Q. , Li, X. , Chen, L. and co-authors. 2012. HJ-1 terrestrial aerosol data retrieval using deep blue algorithm. J. Remote Sens. 16, 596610.
  30. Wei, J. , Li, Z. , Peng, Y. , Sun, L. and Yan, X. 2019. A regionally robust high-spatial-resolution aerosol retrieval algorithm for MODIS images over Eastern China. IEEE Trans. Geosci. Remote Sens. 57, 47484757. doi:10.1109/TGRS.2019.2892813
  31. Xu, Q. , Obradovic, Z. , Han, B. , Li, Y. , Braverman, A. and co-authors. 2005. Improving aerosol retrieval accuracy by integrating AERONET, MISR and MODIS data. In: 8th IEEE International Conference on Information Fusion , 10, 17.
  32. Yan, X. , Luo, N. , Liang, C. , Zang, Z. , Zhao, W. and co-authors. 2020. Simplified and fast atmospheric radiative transfer model for satellite-based aerosol optical depth retrieval. Atmos. Environ. 224, 117362. doi:10.1016/j.atmosenv.2020.117362
  33. Zhou, S. , Dai, J. and Bu, J. 2013. City size distributions in China 1949 to 2010 and the impacts of government policies. Cities . 32, S51S57. doi:10.1016/j.cities.2013.04.011
Language: English
Page range: 1940758 - 1940758
Published on: Jan 1, 2021
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2021 Lijuan Chen, Ren Wang, Jiamei Han, Yong Zha, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.