Atmospheric Correction of AISA Measurements over the Florida Keys Optically Shallow Waters: Challenges in Radiometric Calibration and Aerosol Selection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 8, 2015, Pages 4189-4196

  Zhang, Minwei ^a   Hu, Chuanmin ^a   English, David ^a   Carlson, Paul ^b   Muller Karger, Frank E ^a   Toro Farmer, Gerardo ^a   Herwitz, Stanley R ^c  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b FISH AND WILDLIFE RESEARCH INSTITUTE   (United States)

^c NASA AMES RESEARCH CENTER   (United States)

Author keywords

Airborne Imaging Spectrometer for Applications (AISA); airborne remote sensing; atmospheric correction (AC); MODTRAN; noise reduction; ocean color; vicarious calibration

Indexed keywords

CALIBRATION; INFRARED DEVICES; ITERATIVE METHODS; NOISE ABATEMENT; RADIOMETRY; REFLECTION; REMOTE SENSING; SPECTROMETERS; SPECTROSCOPY; TABLE LOOKUP; UNCERTAINTY ANALYSIS; WATER QUALITY;

AIRBORNE IMAGING SPECTROMETERS; AIRBORNE REMOTE SENSING; ATMOSPHERIC CORRECTIONS; MODTRAN; OCEAN COLOR; VICARIOUS CALIBRATION;

FIGHTER AIRCRAFT;

AEROSOL; AIRBORNE SENSING; ATMOSPHERIC CORRECTION; BENTHOS; CALIBRATION; OCEAN COLOR; RADIOMETER; SHALLOW WATER; SURFACE REFLECTANCE; WATER QUALITY;

FLORIDA KEYS; FLORIDA [UNITED STATES]; UNITED STATES;

EID: 85027947878     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2437326     Document Type: Article

References (35)

1. H. M. Dierssen et al., "Ocean color remote sensing of seagrass and bathymetry in the Bahamas Banks by high resolution airborne imagery," Limnol. Oceanogr., vol. 48, no. 1, part 2, pp. 444-455, 2003.
2. K. Kallio, S. Koponen, and J. Pulliainen, "Feasibility of airborne imaging spectrometry for lake monitoring-A case study of spatial chlorophyll a distribution in two meso-eutrophic lakes," Int. J. Remote Sens., vol. 24, no. 19, pp. 3771-3790, Jan. 1, 2003.
3. R. M. Igamberdiev et al., "Determination of chlorophyll content of small water bodies (kettle holes) using hyperspectral airborne data," Int. J. Appl. Earth Observ. Geoinf., vol. 13, no. 6, pp. 912-921, Dec. 2011.
4. D. R. Mishra et al., "Enhancing the detection and classification of coral reef and associated benthic habitats: A hyperspectral remote sensing approach," J. Geophys. Res. Oceans, vol. 112, no. C8, p. C08014, 2007.
5. G. Sanchez,W. E. Roper, and R. B. Gomez, "Detection and monitoring of oil spills using hyperspectral imagery," in Proc. SPIE Geo-Spat. Temporal Image Data Exploit. III, 2003, pp. 233-240.
6. J. C. Brock et al., "Northern Florida reef tract benthic metabolism scaled by remote sensing," Mar. Ecol. Prog. Ser., vol. 312, pp. 123-139, Apr. 24, 2006.
7. L. G. Olmanson, P. L. Brezonik, and M. E. Bauer, "Airborne hyperspectral remote sensing to assess spatial distribution of water quality characteristics in large rivers: The Mississippi River and its tributaries in Minnesota," Remote Sens. Environ., vol. 130, pp. 254-265, Mar. 15, 2013.
8. K. Kallio et al., "Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons," Sci. Total Environ., vol. 268, nos. 1-3, pp. 59-77, Mar. 14, 2001.
9. B.-C. Gao et al., "Atmospheric correction algorithm for hyperspectral remote sensing of ocean color from space," Appl. Opt., vol. 39, no. 6, pp. 887-896, Feb. 20, 2000.
10. C. M. Hu and K. L. Carder, "Atmospheric correction for airborne sensors: Comment on a scheme used for CASI," Remote Sens. Environ., vol. 79, no. 1, pp. 134-137, Jan. 2002.
11. S. Adler-Golden et al., "FLAASH, a modtran4 atmospheric correction package for hyperspectral data retrievals and simulations," in Proc. 7th JPL Airborne Earth Sci Workshop, JPL, Pasadena, CA, USA, 1998.
12. J. L. Mueller et al., "Above-water radiance and remote sensing reflectance measurement and analysis protocols," in Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4, Volume III: Radiometric Measurements and Data Analysis Protocols, J. L. Mueller, G. S. Fargion, and C. R. McClain, Eds. Greenbelt, MD, USA: Goddard Space Flight Space Center, 2003, vol. 3.
13. C. D. Mobley, "Estimation of the remote-sensing reflectance from abovesurface measurements," Appl. Opt., vol. 38, no. 36, pp. 7442-7455, Dec. 20, 1999.
14. Z. Lee et al., "Remote sensing reflectance and inherent optical properties of oceanic waters derived from above-water measurements," in Proc. Ocean Opt. XIII, Halifax, NS, Canada, 1997, pp. 160-166.
15. Z. Lee et al., "Hyperspectral remote sensing for shallow waters: 2. Deriving bottom depths and water properties by optimization," Appl. Opt., vol. 38, no. 18, pp. 3831-3843, Jun. 20, 1999.
16. H. R. Gordon and M. Wang, "Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: A preliminary algorithm," Appl. Opt., vol. 33, no. 3, pp. 443-452, Jan. 20, 1994.
17. S. M. Adler-Golden et al., "Remote bathymetry of the littoral zone from AVIRIS, LASH, and QuickBird imagery," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 2, pp. 337-347, Feb. 2005.
18. C. Cox and W. Munk, "Measurement of the roughness of the sea surface from photographs of the sun's Glitter," J. Opt. Soc. Amer., vol. 44, no. 11, pp. 838-850, Nov. 1, 1954.
19. M. Wang and S.W. Bailey, "Correction of sun glint contamination on the SeaWiFS ocean and atmosphere products," Appl. Opt., vol. 40, no. 27, pp. 4790-4798, Sep. 20, 2001.
20. H. R. Gordon and M. Wang, "Influence of oceanic whitecaps on atmospheric correction of ocean-color sensors," Appl. Opt., vol. 33, no. 33, pp. 7754-7763, Nov. 20, 1994.
21. H. R. Gordon, "Radiative transfer in the atmosphere for correction of ocean color remote sensors," in Ocean Colour: Theory and Applications in a Decade of CZCS Experience, V. Barale and P. Schlittenhardt, Eds. New York, NY, USA: Springer, 1993, pp. 33-77.
22. E. P. Shettle and R. W. Fenn, "Models for the aerosols of the lower atmosphere and the effects of humidity variations on their optical properties," Environmental Research Paper, Air Force Geophysical Lab., Hanscom AFB, Bedford, MA, USA, 1979.
23. S. W. Bailey, B. A. Franz, and P. J. Werdell, "Estimation of near-infrared water-leaving reflectance for satellite ocean color data processing," Opt. Express, vol. 18, no. 7, pp. 7521-7527, Mar. 29, 2010.
24. M. Zhang et al., "Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery," Remote Sens. Environ., vol. 114, no. 2, pp. 392-403, Feb. 15, 2010.
25. S. B. Hooker et al., An Overview of SeaWiFS and Ocean Color. Greenbelt, MD, USA: Goddard Space Flight Center, 1992, vol. 1.
26. C. Hu, K. L. Carder, and F. E. Muller-Karger, "How precise are SeaWiFS ocean color estimates? Implications of digitization-noise errors," Remote Sens. Environ., vol. 76, no. 2, pp. 239-249, May 2001.
27. S. W. Bailey and P. J. Werdell, "A multi-sensor approach for the on-orbit validation of ocean color satellite data products," Remote Sens. Environ., vol. 102, nos. 1-2, pp. 12-23, May 30, 2006.
28. M. Zhang et al., "Atmospheric correction of HJ-1 CCD imagery over turbid lake waters," Opt. Express, vol. 22, no. 7, pp. 7906-7924, Apr. 7, 2014.
29. K. Stamnes et al., "Simultaneous retrieval of aerosols and marine constituents in coastal waters," Gayana, vol. 68, no. 2, pp. 543-551, 2004.
30. C. Hu et al., "Atmospheric correction and cross-calibration of LANDSAT-7/ETM+ imagery over aquatic environments: A multiplatform approach using SeaWiFS/MODIS," Remote Sens. Environ., vol. 78, nos. 1-2, pp. 99-107, Oct. 2001.
31. M. Berman, A. Phatak, and A. Traylen, "Some invariance properties of the minimum noise fraction transform," Chemom. Intell. Lab. Syst., vol. 117, pp. 189-199, Aug. 1, 2012.
32. R. O. Green et al., "Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (AVIRIS)," Remote Sens. Environ., vol. 65, no. 3, pp. 227-248, Sep. 1998.
33. B.-C. Gao andM. Liu, "A fast smoothing algorithm for post-processing of surface reflectance spectra retrieved from airborne imaging spectrometer data," Sensors, vol. 13, no. 10, pp. 13879-13891, 2013.
34. A. A. Green et al., "A transformation for ordering multispectral data in terms of image quality with implications for noise removal," IEEE Trans. Geosci. Remote Sens., vol. 26, no. 1, pp. 65-74, Jan. 1988.
35. B. Hu, Q. Li, and A. Smith, "Noise reduction of hyperspectral data using singular spectral analysis," Int. J. Remote Sens., vol. 30, no. 9, pp. 2277-2296, May 1, 2009.