Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data

Atmospheric Measurement Techniques

Volumn 8, Issue 4, 2015, Pages 1719-1731

  Davies, W H ^a   North, P R J ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL PROPERTY; CHRIS; DATA SET; ENVISAT; OPTICAL DEPTH; PROBA; RADIATIVE TRANSFER; SATELLITE DATA; SENTINEL; SPECTRAL ANALYSIS; SYNERGISM;

EID: 84927594245     PISSN: 18671381     EISSN: 18678548     Source Type: Journal    
DOI: 10.5194/amt-8-1719-2015     Document Type: Article

References (31)

1. Ackerman, A. S., Toon, O. B., Stevens, D. E., Heymsfield, A. J., Ramanathan, V., and Welton, E. J.: Reduction of tropical cloudiness by soot, Science, 288, 1042-1047, 2000.
2. Baldridge, A. M., Hook, S. J., Grove, C. I., and Rivera, G.: The ASTER spectral library version 2.0, Remote Sens. Environ., 113, 711-715, 2009.
3. Bergstrom, R. W., Russell, P. B., and Hignett, P.: Wavelength dependence of the absorption of black carbon particles: predictions and results from the TARFOX experiment and implications for the aerosol single scattering albedo, J. Atmos. Sci., 59, 567-577, 2002.
4. Bevan, S. L., North, P. R., Los, S. O., and Grey, W. M.: A global dataset of atmospheric aerosol optical depth and surface reflectance from AATSR, Remote Sens. Environ., 116, 199-210, 2012.
5. Cutter, M. A.: CHRIS Data Format, Sira Technology Ltd., Kent, UK, 4.2 edn., 2005.
6. Cutter, M. A. and Lobb, D. R.: Design of the compact highresolution imaging spectrometer (CHRIS), and future developments, available at: http://envisat.esa.int/pub/ESA-DOC/ PROBA/Sira5thICSO2004CHRISpaperSP-554.PDF (last access: 25 April 2014), 2004.
7. Davidson, M. and Vuilleumier, P.: Note on CHRIS acquisition procedure and image geometry, available at: http: //earth.esa.int/pub/ESA-DOC/CHRIS-acquisition-procedure- image-geometry-rev1-3.pdf (last access: 25 April 2014), 2004.
8. Davies, W. H., North, P. R. J., Grey, W. M. F., and Barnsley, M. J.: Improvements in aerosol optical depth estimation using multiangle CHRIS/PROBA images, IEEE T. Geosci. Remote, 48, 18-24, 2010.
9. de Leeuw, G., Holzer-Popp, T., Bevan, S. L., Davies, W. H., Descloitres, J., Graigner, R. G., Griesfeller, J., Heckel, A., von Hoyningen Huene, W., Kinne, S., Klüser, L., Kolmonen, P., Litvinov, P., Martynenko, D., North, P. R. J., Ovigneur, B., Poulsen, C. A., Ramon, D., Schulz, M., Siddans, R., Sogacheva, L., Tanré, D., Thomas, G. E., Timo, H., Vountas, M., and Pinnock, S.: Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis, Remote Sens. Environ., doi:10.1016/j.rse.2013.04.023, online first, 2013.
10. Diner, D. J., Abdou, W., Ackerman, T. P., Crean, K., Gordon, H. R., Kahn, R. A., Martonchik, J. V., McMuldroch, S., Paradise, S. R., Pinty, B., Verstraete, M. M., Wang, M., and West, R. A.: MISR Level 2 Aerosol Retrieval Algorithm Theoretical Basis, available at: http://eospso.gsfc.nasa.gov/eos- homepage/for-scientists/atbd/docs/MISR/atbd-misr-09.pdf (last access: 25 April 2014), 2008.
11. Donlon, C., Berruti, B., Buongiorno, A., Ferreira, M.-H., Féménias, P., Frerick, J., Goryl, P., Klein, U., Laur, H., Mavrocordatos, C., Nieke, J., Rebhan, H., Seitz, B., Stroede, J., and Sciarra, R.: The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission, Remote Sens. Environ., 120, 37-57, 2012.
12. Dubovik, O., Holben, B. N., Eck, T. F., Smirnov, A., Kaufman, Y. J., King, M. D., Tanré, D., and Slutsker, I.: Variability of absorption and optical properties of key aerosol types observed in worldwide locations, J. Atmos. Sci., 59, 590-608, 2002.
13. ESA-Archive: CHRIS, available at: https://oa-es.eo.esa.int/ra/ (last access: 20 August 2014), 2014.
14. ESA-Earth-Online: Sentinel-3, available at: http://earth.esa.int/ web/guest/missions/esa-future-missions/sentinel-3 (last access: 5 March 2014), 2014.
15. GCOS, G. C. O. S.: Systematic Observation Requirements for Satellite-based Products for Climate, available at: http: //www.wmo.int/pages/prog/gcos/Publications/gcos-107.pdf (last access: 5 March 2014), 2006.
16. Gómez-Chova, L., Alonso, L., Guanter, L., Camps-Valls, G., Calpe, J., and Moreno, J.: Correction of systematic spatial noise in push-broom hyperspectral sensors: application to CHRIS/PROBA images, Appl. Optics, 47, F46-F60, 2008.
17. Guanter, L., Alonso, L., and Moreno, J.: A method for the surface reflectance retrieval from PROBA/CHRIS data over land: application to ESA SPARC campaigns, IEEE T. Geosci. Remote, 43, 2908-2917, 2005.
18. Holzer-Popp, T., de Leeuw, G., Griesfeller, J., Martynenko, D., Klüser, L., Bevan, S., Davies, W., Ducos, F., Deuzé, J. L., Graigner, R. G., Heckel, A., von Hoyningen-Hüne, W., Kolmonen, P., Litvinov, P., North, P., Poulsen, C. A., Ramon, D., Siddans, R., Sogacheva, L., Tanre, D., Thomas, G. E., Vountas, M., Descloitres, J., Griesfeller, J., Kinne, S., Schulz, M., and Pinnock, S.: Aerosol retrieval experiments in the ESA Aerosol-cci project, Atmos. Meas. Tech., 6, 1919-1957, doi:10.5194/amt-6-1919-2013, 2013.
19. IPCC: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK, New York, NY, USA, 2013.
20. Kazadzis, S., Gröbner, J., Arola, A., and Amiridis, V.: The effect of the global UV irradiance measurement accuracy on the single scattering albedo retrieval, Atmos. Meas. Tech., 3, 1029-1037, doi:10.5194/amt-3-1029-2010, 2010.
21. Kokhanovsky, A. A. and DeLeeuw, G.: Satellite Aerosol Remote Sensing over Land, Springer Praxis Books, Heidelberg, 2009.
22. Kokhanovsky, A. A., Deuzé, J. L., Diner, D. J., Dubovik, O., Ducos, F., Emde, C., Garay, M. J., Grainger, R. G., Heckel, A., Herman, M., Katsev, I. L., Keller, J., Levy, R., North, P. R. J., Prikhach, A. S., Rozanov, V. V., Sayer, A. M., Ota, Y., Tanré, D., Thomas, G. E., and Zege, E. P.: The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light, Atmos. Meas. Tech., 3, 909-932, doi:10.5194/amt-3-909-2010, 2010.
23. North, P. and Heckel, A.: Sentinel-3 L2 Products and Algorithm Definition: SYN Algorithm Theoretical Basis Document S3-L2-SD-03-S02-ATBD, available at: https://earth.esa.int/ documents/247904/349589/SYN-L2-3-ATBD.pdf (last access: 28 May 2014), 2012.
24. North, P., Brockmann, C., Fischer, J., Gomez-Chova, L., Grey, W., Heckel, A., Moreno, J., Preusker, R., and Regner, P.: MERIS/AATSR synergy algorithms for cloud screening, aerosol retrieval and atmospheric correction, Proc. 2nd MERIS/AATSR User Workshop, ESRIN, Frascati, 22-26, 2008.
25. North, P., Grey, W., Heckel, A., Fischer, J., Preusker, R., and Brockmann, C.: MERIS/AATSR Synergy: Land Aerosol and Surface Reflectance Algorithm Theoretical Basis Document (ATBD), available at: http://github.com/downloads/bcdev/ beam-meris-aatsr-synergy/synergy-land-aerosol-atbd.pdf (last access: 28 May 2014), 2010.
26. North, P. R. J.: Estimation of aerosol opacity and land surface bidirectional reflectance from ATSR-2 dual-angle imagery: operational method and validation, J. Geophys. Res., 107, doi:10.1029/2000JD000207, AAC4-1-AAC4-10, 2002.
27. North, P. R. J., Briggs, S. A., Plummer, S. E., and Settle, J. J.: Retrieval of land surface bidirectional reflectance and aerosol opacity from ATSR-2 multi-angle imagery, IEEE T. Geosci. Remote, 37, 526-537, 1999.
28. Press, W. H., Teukolsky, S. A., Vetterling, W. T., and Flannery, B. P.: Numerical Recipes in C, The Art of Scientific Computing (Second Edition), Cambridge University Press, Cambridge, 1992.
29. Vermote, E. F., Tanré, D., Deuzé, J. L., Herman, M., and Morcette, J. J.: Second simulation of the satellite signal in the solar spectrum, 6S: an overview, IEEE T. Geosci. Remote, 35, 675-686, 1997a.
30. Vermote, E. F., Tanré, D., Deuzé, J. L., Herman, M., and Morcette, J. J.: Second simulation of the satellite signal in the solar spectrum, 6S: Users Guide, Laboratoire d'Optique Atmospherique, U. S. T. de Lille, 59655 Villeneuve d'Aseq, France, 2 edn., 1997b.
31. von Hoyningen-Huene, W., Yoon, J., Vountas, M., Istomina, L. G., Rohen, G., Dinter, T., Kokhanovsky, A. A., and Burrows, J. P.: Retrieval of spectral aerosol optical thickness over land using ocean color sensors MERIS and SeaWiFS, Atmos. Meas. Tech., 4, 151-171, doi:10.5194/amt-4-151-2011, 2011.