Study of the Anisotropic Reflectance Behaviour of Wheat Canopy to Evaluate the Performance of Radiative Transfer Model PROSAIL5B

Journal of the Indian Society of Remote Sensing

Volumn 43, Issue 2, 2015, Pages 297-310

  Chakraborty, Debasish ^a   Sehgal, Vinay Kumar ^a   Sahoo, Rabi Narayan ^a   Pradhan, Sanatan ^a   Gupta, Vinod Kumar ^a  

^a INDIAN AGRICULTURAL RESEARCH INSTITUTE   (India)

Author keywords

Bi directional reflectance; Crop; Hotspot; Inversion; Modeling

Indexed keywords

ALGORITHM; BIDIRECTIONAL REFLECTANCE; BIOPHYSICS; CANOPY REFLECTANCE; CROP PERFORMANCE; GROWTH MODELING; LEAF AREA INDEX; NEAR INFRARED; RADIATIVE TRANSFER; SENSOR; VISIBLE SPECTRUM; WHEAT;

TRITICUM AESTIVUM;

EID: 84929702611     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-014-0411-7     Document Type: Article

References (32)

1. Andrieu, B., Baret, F., Jacquemoud, S., Malthus, T., & Stevent, M. (1997). Evaluation of an improved version of SAIL model for simulating bidirectional reflectance of sugarbeet canopies. Remote Sensing of Environment, 60, 247–257.
2. Bacour, C., Jacquemoud, S., Leroy, M., Hautecoeur, O., Weiss, M., Prevot, L., Bruguierd, N., Chaukid, H. (2002). Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne polder data. Agronomie: Agriculture and Environment, 22, 555–565.
3. Barman, D., Sehgal, V. K., Sahoo, R. N., & Nagarajan, S. (2010). Relationship of bidirectional reflectance of wheat with biophysical parameters and its radiative transfer modeling using Prosail. Journal of Indian Society of Remote Sensing, 38, 35–44.
4. Darvishzadeh, R., Skidmore, A., Schlerf, M., & Atzberger, C. (2008). Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland. Remote Sensing of Environment, 112(5), 2592–2604.
5. Donovan, S. Characterization and discrimination of selected vegetation canopies from field observations of bidirectional reflectances. M.Sc. Thesis, University of Maryland, USA, p 114, 1985.
6. Goel, N. S. (1989). Inversion of canopy reflectance models for estimation of biophysical parameters from reflectance data. In G. Asrar (Ed.), Theory and Applications of Optical Remote Sensing (pp. 205–251). New York: Wiley & Sons.
7. Hapke, B., DiMucci, D., Nelson, R., & Smythe, W. (1996). The cause of the hotspot in vegetation canopies and soils: shadow-hiding versus coherent backscatter. Remote Sensing of Environment, 58, 63–68.
8. Hiscox, J. D., & Israelstam, G. F. (1979). A method for the extraction of chlorophyll from leaf tissue without maceration. Canadian Journal of Botany, 57, 1332–1334.
9. Houborg, R., Soegaard, H., & Boegh, E. (2007). Combining vegetation index and model inversion methods for the extraction of key vegetation biophysical parameters using Terra and Aqua MODIS reflectance data. Remote Sensing of Environment, 106(1), 39–58.
10. Jacquemoud, S. (1993). Inversion of the PROSPECT + SAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study. Remote Sensing of Environment, 44(2–3), 281–292.
11. Jacquemoud, S., & Baret, F. (1990). PROSPECT: A model of leaf optical properties spectra. Remote Sensing of Environment, 34(2), 75–91.
12. Jacquemoud, S., Ustin, S. L., Verdebout, J., Schmuck, G., Andreoli, G., & Hosgood, B. (1996). Estimating leaf biochemistry using the PROSPECT leaf optical properties model. Remote Sensing of Environment, 56(194–202), 163–172.
13. Jacquemoud, S., Verhoef, W., Baret, F., Zarco-Tejada, P. J., Asner, G. P., Francois, C. & Ustin, S. L. PROSPECT SAIL: 15 Years of Use for Land Surface Characterization. Geoscience and Remote Sensing Symposium (IGARSS). IEEE international conference July 31, 2006- August 4, 2006.
14. Jacquemoud, S., Verhoef, W., Baret, F., Bacour, C., Zarco-Tejada, P. J., Asner, G. P., Francois, C., & Ustin, S. L. (2009). PROSPECT SAIL models: A review of use for vegetation characterization. Remote Sensing of Environment, 113, S56–S66.
15. Kimes, D. S., Holben, B. N., Tucker, C. J., & Newcomb, W. W. (1984). Optimal directional view angles for remote sensing missions. International Journal of Remote Sensing, 5(6), 887–908.
16. Kirchner, J. A., Schwetzler, C. C., & Smith, J. A. (1981). Simulated directional radiances of vegetation from satellite platforms. International Journal of Remote Sensing, 2(3), 253–264.
17. Le Maire, G., Francois, C., & Dufrene, E. (2004). Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements. Remote Sensing of Environment, 89, 1–28.
18. Meroni, M., Colombo, R., & Panigada, C. (2004). Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations. Remote Sensing of Environment, 92(2), 195–206.
19. Qin, W., & Goel, N. S. (1995). An evaluation of hotspot models for vegetation canopies. Remote Sensing Reviews, 13, 121–159.
20. Roman, M. O., Gatebe, C. K., Schaaf, C. B., Poudyal, R., Wang, Z., & King, M. D. (2011). Variability in surface BRDF at different spatial scales (30 m–500 m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements. Remote Sensing of Environment, 115, 2184–2203.
21. Sridhar, V. N., Chaudhari, K. N., Tripathy, R., Chaurasia, S., Patel, N. K., Lunagaria, M., Guled, P. & Pandey, V. (2009). Multi-angular and temporal spectral signature study of wheat (Triticum aestivum L.) using a field goniometer, Scientific note SAC/RESA/AFEG/CMD/SN/06/2009, (p 42), Space Applications Centre, Ahmedabad,.
22. Swain, P. H., & Davis, S. M. (1978). Remote Sensing: The Quantitative Approach. New York: McGraw-Hill.
23. Tian, Y., Dickinson, R. E., & Zhou, L. (2007). Four-stream isosector approximation for canopy radiative transfer. Journal of Geophysical Research, 112(D4), 1–12.
24. Verbrugghe, M. & Cierniewski, J. (1995). Effects of sun and view geometries on cotton bidirectional reflectance. Test of a geometrical model. Remote Sensing of Environment, 54(3), 189–197.
25. Verhoef, W. (1984). Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model. Remote Sensing of Environment, 16(2), 125–141.
26. Verhoef, W., & Bach, H. (2003). Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models. Remote Sensing of Environment, 87, 23–41.
27. Verhoef, W., & Bach, H. (2007). Coupled soil–leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data. Remote Sensing of Environment, 87, 166–182.
28. Vohland, M., & Jarmer, T. (2008). Estimating structural and biochemical parameters for grassland from spectroradiometer data by radiative transfer modelling (PROSPECT SAIL). International Journal of Remote Sensing, 29(1), 191–209.
29. Welles, J. M., & Norman, J. M. (1991). Instrument for indirect measurement of canopy architecture. Agronomy Journal, 83(5), 818–825.
30. Yao, Y., Liu, Q., Liu, Q., & Li, X. (2008). LAI retrieval and uncertainty evaluations for typical row-planted crops at different growth stages. Remote Sensing of Environment, 112, 94–106.
31. Walter-Shea, E. A., Norman, J. M., & Blad, B. L. (1989). Leaf bidirectional reflectance and transmittance in corn and soybean. Remote Sensing of Environment, 29, 161–174.
32. Zarco-Tejada, P. J., Rueda, C. A., & Ustin, S. L. (2003). Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sensing of Environment, 85(1), 109–124.