An assessment of the accuracy and precision of water quality parameters retrieved with the matrix inversion method

Limnology and Oceanography: Methods

Volumn 8, Issue JAN, 2010, Pages 16-29

  Campbell, Glenn ^a,b   Phinn, Stuart R ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77955803576     PISSN: 15415856     EISSN: 15415856     Source Type: Journal    
DOI: 10.4319/lom.2010.8.0016     Document Type: Article

References (43)

1. Aas, E. 1987. Two-stream irradiance model for deep waters. Appl. Opt. 26:2095-2101.
2. Baruah, P. J., M. Tamura, K. Oki, and H. Nishimura. 2001. Neural network modeling of lake surface chlorophyll and suspended sediment from Landsat TM imagery. In Proceedings of 22nd Asian Conference of Remote Sensing. Centre for Remote Imaging, Sensing and Processing, National University of Singapore; Singapore Institute of Surveyors and Valuers, Asian Association on Remote Sensing. p. 911-916.
3. Boss, E., and C. S. Roesler. 2006. Over constrained linear matrix inversion with statistical selection. In Z. Lee [ed.], Remote sensing of inherent optical properties: Fundamentals, tests of algorithms, and applications. International Ocean-Colour Coordinating Group [IOCCG]. IOCCG report nr 5. p. 57-62..
4. Brando, V. E., and A. G. Dekker. 2003. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE T. Geosci. Remote 41:1378-1387.
5. Buiteveld, H., J. H. M. Hakvoort, and M. Donze. 1994. Optical properties of pure water, p. 174-183. In J. S. Jaffe [ed.], Proceedings of SPIE ocean optics XII. Proceedings/SPIE-the International Society for Optical Engineering.
6. Campbell, G., and S. R. Phinn. 2008. The efficacy of band weighting schemes for improving the accuracy and precision of water quality parameters estimated from MERIS and MODIS image data. In Proceedings of 14th Australasian Remote Sensing & Photogrammetry Conference. Spatial Sciences Institute. p. 12.
7. Clementson, L. A., J. S. Parslow, A. R. Turnbull, D. C. McKenzie, and C. E. Rathbone. 2001. Optical properties of waters in the Australasian sector of the Southern Ocean. J. Geophys. Res. Oceans 106:31611-31625.
8. De Haan, J. F., and J. M. M. Kokke. 1996. Remote sensing algorithm development TOOLKIT I: Operationalisation of tools for atmospheric correction of remote sensing data of coastal and inland waters. Beleidscommissie Remote Sensing.
9. Dekker, A. G., H. J. Hoogenboom, L. M. Goddijn, and T. J. M. Malthus. 1997. The relation between inherent optical properties and reflectance spectra in turbid inland waters. Remote Sens. Rev. 15:59-74.
10. Giardino, C., V. E. Brando, A. G. Dekker, N. Strombeck, and G. Candiani. 2007. Assessment of water quality in Lake Garda (Italy) using Hyperion. Remote Sens. Environ. 109:183-195.
11. Gordon, H. R., O. B. Brown, and M. M. Jacobs. 1975. Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean. Appl. Opt. 14:417-427.
12. Gordon, H, and others. 1988. A semianalytic radiance model of ocean color. J. Geophys. Res. 93:10909-10924.
13. Hakvoort, H., J. F. de Haan, R. R. W. Jordans, R. J. Vos, S. W. M. Peters, and M. Rijkeboer. 2002. Towards airborne remote sensing of water quality in The Netherlands-validation and error analysis. ISPRS J. Photogramm. 57:171-183.
14. Hoge, F. E., and P. E. Lyon. 1996. Satellite retrieval of inherent optical properties by linear matrix inversion of oceanic radiance models: An analysis of model and radiance measurement errors. J. Geophys. Res. 101:16631-16648.
15. Hoge, F, C. W. Wright, P. E. Lyon, R. N. Swift, and J. K. Yungel. 1999. Satellite retrieval of the absorption coefficient of phytoplankton phycoerythrin pigment: Theory and feasibility status. Appl. Opt. 38:7431-7441.
16. Hoogenboom, H. J., A. G. Dekker, and I. A. Althuis. 1998a. Simulation of AVIRIS sensitivity for detecting chlorophyll over coastal and inland waters. Remote Sens. Environ. 65:333-340.
17. Hoogenboom, H, A. G. Dekker, and J. F. de Haan. 1998b. Retrieval of chlorophyll and suspended matter from imaging spectrometry data by matrix inversion. Can. J. Remote Sens. 24:144-152.
18. Keller, P. A. 2001. Comparison of two inversion techniques of a semi-analytical model for the determination of lake water constituents using imaging spectrometry data. Sci. Total Environ. 268:189-196.
19. Kishino, M., M. Takahashi, N. Okami, and S. Ichimura. 1985. Estimation of the spectral absorption coefficients of phytoplankton in the sea. Bull. Mar. Sci. 37:634-642.
20. Lee, Z. [ed.]. 2006. Remote sensing of inherent optical properties: Fundamentals, tests of algorithms, and applications. IOCCG. IOCCG report nr 5..
21. Lee, Z, K. L. Carder, C. D. Mobley, R. G. Steward, and J. S. Patch. 1999. Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization. Appl. Opt. 38:3831-3843.
22. Lee, Z, K. L., and Carder, C. D. 2002. Effect of spectral band numbers on the retrieval of water column and bottom properties from ocean color data. Appl. Opt. 41:2191-2201.
23. Lee, Z, K. L., Carder, C. D, and K. Du. 2004. Effects of molecular and particle scatterings on the model parameter for remote-sensing reflectance. Appl. Opt. 43:4957-4964.
24. Lyon, P. E., and F. E. Hoge. 2006. The linear matrix inversion algorithm. In Z. Lee [ed.], Remote sensing of inherent optical properties: Fundamentals, tests of algorithms, and applications. IOCCG. IOCCG report nr 5. p. 49-56..
25. Maffione, R. A., and D. R. Dana. 1997. Instruments and methods for measuring the backward-scattering coefficient of ocean waters. Appl. Opt. 36:6057-6067.
26. Matarrese, R., M. T. Chiaradia, V. De Pasquale, and G. Pasquariello. 2004. Chlorophyll-a concentration measure in coastal waters using MERIS and MODIS data. In 2004 IEEE International Geoscience and Remote Sensing Symposium proceedings: science for society: exploring and managing a changing planet: 20 - 24 September 2004: Anchorage Alaska, v. 6. IEEE. p. 3639-3641.
27. Mobley, C. D., and L. Sundman. 2001. Hydrolight 4.2 Users' Guide. Sequoia Scientific.
28. Mobley, C. D, and others. 2005. Interpretation of hyperspectral remote-sensing imagery by spectrum matching and lookup tables. Appl. Opt. 44:3576-3592.
29. Morel, A. 1974. Optical properties of pure water and pure seawater, p. 1-24. In N. G. Jerlov and E. Steeman Nielsen [eds.], Optical aspects of oceanography. Academic.
30. Morel, A, and B. Gentili. 1993. Diffuse reflectance of oceanic waters. 2. Bidirectional aspects. Appl. Opt. 32:6864-6872.
31. O'Reilly, J. E., and others. 1998. Ocean color chlorophyll algorithms for SeaWiFS. J. Geophys. Res. 103:24937-24953.
32. Orr, P. T., and P. M. Schneider. 2006. Toxic cyanobacteria risk assessment: Reservoir vulnerability and water use best practice. SEQ Water.
33. Phinn, S. R., and A. G. Dekker [eds.]. 2005. An integrated remote sensing approach for adaptive management of complex coastal waters: The Moreton Bay case study. Cooperative Research Centre for Coastal Zone, Estuary & Waterway Management. Technical report no. 23. Further title page information: Final report - Moreton Bay remote sensing tasks (MR2): October 2004.
34. Pope, R. M., and E. S. Fry. 1997. Absorption spectrum (380-700nm) of pure water. II. Integrating cavity measurements. Appl. Opt. 36:8710-8723.
35. Rijkeboer, M., A. G. Dekker, and H. J. Gons. 1997. Subsurface irradiance reflectance spectra of inland waters differing in morphometry and hydrology. Aquat. Ecol. 31:313-323.
36. Schaale, M., J. Fischer, and C. Olbert. 1998. Quantitative estimation of substances contained in inland water from multispectral airborne measurements by neural networks. In Proceedings of ASPRS-RTI Annual Conference. American Society for Photogrammetry and Remote Sensing. p. 1345-1356.
37. Schiller, H., and R. Doerffer. 1999. Neural network for emulation of an inverse model operational derivation of Case II water properties from MERIS data. Int. J. Remote Sens. 20:1735-1746.
38. Smith, R. C., and K. S. Baker. 1981. Optical properties of the clearest natural waters (200-800nm). Appl. Opt. 20:177-184.
39. Stavn, R. H., and A. D. Weidemann. 1989. Shape factors, twoflow models, and the problem of irradiance inversion in estimating optical parameters. Limnol. Oceanogr. 34:1426-1441.
40. Su, F. C., C. R. Ho, Q. Zheng, N. J. Kuo, and C. T. Chen. 2006. Satellite chlorophyll retrievals with a bipartite artificial neural network model. Int. J. Remote Sens. 27:1563-1579.
41. Van Heukelem, L., and C. S. Thomas. 2001. Computer-assisted high-performance liquid chromatography method development with applications to the isolation and analysis of phytoplankton pigments. J. Chromat. A 910:31-49.
42. Vos, R. J., J. H. M. Hakvoort, R. R. W. Jordans, and B. W. Ibelings. 2003. Multiplatform optical monitoring of eutrophication in temporally and spatially variable lakes. Sci. Total Environ. 312:221-243.
43. Walker, R. E. 1994. Marine light field statistics. Wiley. WET Labs. 2005. ac-9 Protocol document. Revision J, 11 April 2005.