Evaluation of a hyperspectral optical- monte carlo remote sensing model in a water tank study

Transactions of the ASABE

Volumn 52, Issue 3, 2009, Pages 759-769

  Garg, V ^a,b   Chaubey, I ^d   Singh, S ^c  

^a 3202 Bell Engineering Center   (United States)

^b Carbonyx Inc   (United States)

^c UNIVERSITY OF ARKANSAS   (United States)

^d PURDUE UNIVERSITY   (United States)

Author keywords

Hyperspectral model; Monte carlo simulation; Physical hyperspectral monte carlo model; Remote sensing

Indexed keywords

AIR WATER INTERFACES; DIFFUSE RADIATION; HYPERSPECTRAL; HYPERSPECTRAL MODEL; MODEL CALCULATIONS; MODEL FORMULATION; MONTE CARLO; MONTE CARLO SIMULATION; PHOTON PACKETS; PHYSICAL HYPERSPECTRAL-MONTE CARLO MODEL; REFLECTANCE CHARACTERISTICS; RELATIVE ERRORS; REMOTE SENSING MODELS; SPECTRAL REGION; SPECULAR REFLECTIONS; THREE DIMENSIONS; WATER DEPTH; WATER TANK EXPERIMENTS;

MONTE CARLO METHODS; REFLECTION; REMOTE SENSING; SIMULATORS; WATER TANKS;

PHASE INTERFACES;

AIR-WATER INTERACTION; MONTE CARLO ANALYSIS; OPTICAL METHOD; REFLECTANCE; REMOTE SENSING; STORAGE TANK; WATER STORAGE;

EID: 67650535836     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (54)

1. Aas, E. 1987. Two-stream irradiance model for deep waters. Appl. Optics 26(11): 2095-2101.
2. Allee, R. J., and J. E. Johnson. 1999. Use of satellite imagery to estimate surface chlorophyll a and Secchi disc depth of Bull Shoals reservoir, Arkansas, USA. Intl. J. Remote Sensing 20(6): 1057-1072.
3. Arst, H. 2003. Optical Properties and Remote Sensing of Multicomponental Water Bodies. Chichester, U.K.: Praxis Publishing.
4. Baruah, P. J. 2000. Application of remote sensing and smart algorithms for modeling of water quality in Lake Kasumigaura. PhD diss. Tsukuba, Japan: University of Tsukuba.
5. Bhargava, D. S., and D. W. Mariam. 1990. Spectral reflectance relationships to turbidity generated by different clay materials. Photogram. Eng. and Remote Sensing 56(2): 225-229.
6. Bhargava, D. S., and D. W. Mariam. 1991a. Effects of suspended particle size and concentration on reflectance measurements. Photogram. Eng. and Remote Sensing 57(5): 519-529.
7. Bhargava, D. S., and D. W. Mariam. 1991b. Light penetration depth, turbidity, and reflectance related relationships and models. ISPRS J. Photogram. and Remote Sensing 46(4): 217.
8. Brivio, P. A., C. Giardino, and E. Zilioli. 2001. Determination of chlorophyll concentration changes in Lake Garda using an image-based radiative transfer code for Landsat TM images. Intl. J. Remote Sensing 22(2-3): 487-502.
9. Chipman, J. W., T. M. Lillesand, J. E. Schmaltz, J. E. Leale, and M. J. Nordheim. 2004. Mapping lake water clarity with Landsat images in Wisconsin, USA. Canadian J. Remote Sensing 30(1): 1-7.
10. Choubey, V. K. 1994. Monitoring water quality in reservoirs with IRS-1A-LISS-I. WaterResour. Mgmt. 8(2): 121-136.
11. Doxaran, D., R. C. Nagur Cherukuru, and S. J. Lavender. 2004. Estimation of surface reflection effects on upwelling radiance field measurements in turbid waters. J. Optics A: Pure and Applied Optics 6(7): 690-697.
12. Doyle, J. P., and H. Rief. 1998. Photon transport in three- dimensional structures treated by random walk techniques: Monte Carlo benchmark of ocean colour simulations. Math. Comput. Simul. 47(2-5): 215-241.
13. Fraser, R. N. 1998. Multispectral remote sensing of turbidity among Nebraska Sand Hills lakes. Intl. J. Remote Sensing 19(15): 3011-3016.
14. Garg, V. 2006. Development and evaluation of a physical hyperspectral optical-Monte Carlo model for an aquatic medium reflectance simulation. PhD diss. Fayetteville, Ark.: University of Arkansas.
15. Garg, V., I. Chaubey, C. Maringanti, and S. G. Bajwa. 2009. Modeling spectral reflectance of Beaver Reservoir using pseudo neural network simulator of a remote sensing model and genetic algorithm optimizer. Trans. ASABE (in review).
16. 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. Optics 14(2): 417-427.
17. Han, L. 1997. Spectral reflectance with varying suspended sediment concentrations in clear and algae-laden waters. Photogram. Eng. and Remote Sensing 63(6): 701-705.
18. Han, L. H., and D. C. Rundquist. 1996. Spectral characterization of suspended sediments generated from two texture classes of clay soil. Intl. J. Remote Sensing 17(3): 643-649.
19. Han, L., and D. C. Rundquist. 2003. The spectral responses of Ceratophyllum demersum at varying depths in an experimental tank. Intl. J. Remote Sensing 24(4): 859-864.
20. Harrington, J. A., F. R. Schiebe, and J. F. Nix. 1992. Remote sensing of Lake Chicot, Arkansas: Monitoring suspended sediments, turbidity, and Secchi depth with Landsat MSS data. Remote Sensing Environ. 39(1): 15-27.
21. IOCCG. 2000. Report 3: Remote sensing of ocean colour in coastal and other optically complex waters. S. Sathyendranath, ed. Dartmouth, Nova Scotia, Canada: International Ocean-Colour Coordinating Group. Available at: www.ioccg.org/reports- ioccg.html. Accessed 5 May 2005.
22. Kirk, J. T. O. 1984. Dependence of relationship between inherent and apparent optical properties of water on solar altitude. Limnol. Oceanogr. 29(2): 350-356.
23. Kloiber, S. N., P. L. Brezonik, L. G. Olmanson, and M. E. Bauer. 2002. A procedure for regional lake water clarity assessment using Landsat multispectral data. Remote Sensing Environ. 82(1): 38-47.
24. Lathrop, R. G., T. M. Lillesand, and B. S. Yandell. 1991. Testing the utility of simple multi-date thematic mapper calibration algorithms for monitoring turbid inland waters. Intl. J. Remote Sensing 12(10): 2045-2063.
25. Lodhi, M. A., and D. C. Rundquist. 2001. A spectral analysis of bottom-induced variation in the colour of Sand Hills lakes, Nebraska, USA. Intl. J. Remote Sensing 22(9): 1665-1682.
26. Lodhi, M. A., D. C. Rundquist, L. H. Han, and M. S. Kuzila. 1997. The potential for remote sensing of loess soils suspended in surface waters. JAWRA 33(1): 111-117.
27. Mantovani, J. E., and A. P. Cabral. 1992. Tank depth determination for water radiometric measurements. Intl. J. Remote Sensing 13(14): 2727-2733.
28. Marcus, W. A., and M. A. Fonstad. 2007. Optical remote mapping of rivers at sub-meter resolution and watershed extents. Earth Surface Proc. and Landforms 33(1): 4-24.
29. Mobley, C. D. 1994. Light and Water: Radiative Transfer in Natural Waters. San Diego, Cal.: Academic Press.
30. Mobley, C. D., and L. K. Sundman. 2003. Effects of optically shallow bottoms on upwelling radiances: Inhomogeneous and sloping bottoms. Limnol. Oceanogr. 48(1, part 2): 329-336.
31. Mobley, C. D., B. Gentili, H. R. Gordon, Z. H. Jin, G. W. Kattawar, A. Morel, P. Reinersman, K. Stamnes and R. H. Stavn. 1993. Comparison of numerical models for computing underwater light fields. Appl. Optics 32(36): 7484-7504.
32. Mobley, C. D., H. Zhang, and K. J. Voss. 2003. Effects of optically shallow bottoms on upwelling radiances: Bidirectional reflectance distribution function effects. Limnol. Oceanogr. 48(1, part 2): 337-345.
33. Mobley, C. D., W. P. Bissett, J. H. Bowles, C. O. Davis, T. V. Downes, A. Gleason, D. D. R. Kohler, R. A. Leathers, E. M. Lochard, M. J. Montes, R. P. Reid, and L. K. Sundman. 2005. Interpretation of hyperspectral remote-sensing imagery via spectrum matching and look-up tables. Appl. Optics 44(17): 3576-3592.
34. Morel, A., and B. Gentili. 1993. Diffuse reflectance of oceanic waters: II. Bidirectional aspects. Appl. Optics 32(33): 6864-6879.
35. Morel, A., and B. Gentili. 1996. Diffuse reflectance of oceanic waters: III. Implication of bidirectionality for the remote sensing problem. Appl. Optics 35(24): 4850-4862.
36. Morel, A., and S. Maritorena. 2001. Bio-optical properties of oceanic waters: A reappraisal. J. Geophys. Res. 106(C4): 7163-7180.
37. Morel, A., and L. Prieur. 1977. Analysis of variations in ocean color. Limnol. Oceanogr. 22(4): 709-722.
38. Nanu, L., and C. Robertson. 2004. The effect of suspended sediment depth distribution on coastal water spectral reflectance: Theoretical simulation. Intl. J. Remote Sensing 14(2): 225-239.
39. Panda, S. S., V. Garg, and I. Chaubey. 2004. Artificial neural network applications in lake water quality estimation using satellite imagery. J. Environ. Informatics 4(2): 65-74.
40. Pope, R. M., and E. S. Fry. 1997. Absorption spectrum (380-700 nm) of pure water: II. Integrating cavity measurements. Appl. Optics 36(33): 8710-8723.
41. Prahl, S. A., M. Keijzer, S. L. Jacques, and A. J. Welch. 1989. A Monte Carlo model of light propagation in tissue. In SPIE Proceedings of Dosimetry of Laser Radiation in Medicine and Biology, 102-111. Bellingham, Wash.: SPIE.
42. Ritchie, J. C., and C. M. Cooper. 1991. An algorithm for estimating surface suspended sediment concentrations with Landsat MSS digital data. WaterResour. Bull. 27(3): 373-379.
43. Ritchie, J. C., C. M. Cooper, and F. R. Schiebe. 1990. The relationship of MSS and TM digital data with suspended sediments, chlorophyll, and temperature in Moon Lake, Mississippi. Remote Sensing Environ. 33(2): 137-148.
44. Ritchie, J. C., F. R. Schiebe, C. M. Cooper, and J. A. Harrington. 1994. Chlorophyll measurements in the presence of suspended sediment using broadband spectral sensors aboard satellites. J. FreshwaterEcol. 9(3): 197-205.
45. Ritchie, J. C., P. V. Zimba, and J. H. Everitt, 2003. Remote sensing techniques to assess water quality. Photogram. Eng. and Remote Sensing 69(6): 695-704.
46. Schiebe, F. R., J. A. Harrington, and J. C. Ritchie. 1992. Remote sensing of suspended sediments: The Lake Chicot, Arkansas project. Intl. J. Remote Sensing 13(8): 1487-1509.
47. Singh, N., S. G. Bajwa, and I. Chaubey. 2008. Removal of surface reflectance from above-water visible-near infrared spectroscopic measurements. Applied Spectroscopy 62(9): 1013-1021.
48. Smith, R. C., and K. S. Baker. 1981. Optical properties of the clearest natural waters (200-800 nm). Appl. Optics 20(2): 177-184.
49. Stamnes, K., W. Li, B. Yan, H. Eide, A. Barnard, W. S. Pegau, and J. J. Stamnes. 2003. Accurate and self-consistent ocean color algorithm: Simultaneous retrieval of aerosol optical properties and chlorophyll concentrations. Appl. Optics 42(6): 939-951.
50. Stramski, D., E. Boss, D. Bogucki, and K. J. Voss. 2004. The role of seawater constituents in light backscattering in the ocean. Prog. Oceanogr. 61(1): 27-56.
51. Sudheer, K. P., I. Chaubey, and V. Garg. 2006. Lake water quality assessment from Landsat TM data using neural network: An approach to optimal band combination selection. JAWRA 42(6): 1683-1695.
52. Tolk, B. L., L. Han, and D. C. Rundquist. 2000. The impact of bottom brightness on spectral reflectance of suspended sediments. Intl. J. Remote Sensing 21(11): 2259-2268.
53. Yacobi, Y. Z., A. Gitelson, and M. Mayo. 1995. Remote sensing of chlorophyll in Lake Kinneret using high-spectral-resolution radiometer and Landsat TM: Spectral features of reflectance and algorithm development. J. Plankton Res. 17(11): 2155-2173.
54. Yang, M., C. J. Merry, and R. M. Sykes. 1999. Integration of water quality modeling, remote sensing, and GIS. JAWRA 35(2): 253-263.