Inversion of a radiative transfer model for estimation of rice canopy chlorophyll content using a lookup-table approach

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

Volumn 5, Issue 4, 2012, Pages 1222-1230

  Darvishzadeh, Roshanak ^a   Matkan, Ali A ^b   Dashti Ahangar, Abdolhamid ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Analysis of variance (ANOVA); canopy chlorophyll content; lookup table (LUT) inversion; PROSAIL

Indexed keywords

AVNIR-2; CANOPY CHLOROPHYLL; CHLOROPHYLL CONTENTS; CROP MONITORING; DIFFERENT SIZES; ECONOMIC IMPORTANCE; FIELD CAMPAIGN; FIELD MEASUREMENT; FOOD SECURITY; LEAF AREA INDEX; LOOK UP TABLE; LUT SIZE; MULTI-SPECTRAL DATA; MULTI-SPECTRAL IMAGE DATA; OPTICAL REMOTE SENSING; PLANT STATUS; PROSAIL; RADIATIVE TRANSFER MODEL; RELIABLE ESTIMATES; RETRIEVAL ACCURACY; RICE CANOPY; RICE CROPS; RICE PLANTS; STUDY AREAS;

ANALYSIS OF VARIANCE (ANOVA); CROPS; ESTIMATION; FOOD SUPPLY; RADIATIVE TRANSFER; REMOTE SENSING; TABLE LOOKUP;

CHLOROPHYLL;

ALOS; BIOMASS; CANOPY; CHLOROPHYLL; CROP; DATA INVERSION; ECOLOGICAL MODELING; ESTIMATION METHOD; LEAF AREA INDEX; MULTISPECTRAL IMAGE; NUMERICAL MODEL; RADIATIVE TRANSFER; REMOTE SENSING; VARIANCE ANALYSIS;

EID: 84864766813     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2012.2186118     Document Type: Article

References (52)

1. W. A. Allen, H. W. Gausman, A. J. Richardson, and J. R. Thomas, "Interaction of isotropic light with a compact plant leaf," J. Opt. Soc. Amer., vol. 59, pp. 1376-1379, 1969.
2. G. P. Asner, "Biophysical and biochemical sources of variability in canopy reflectance," Remote Sens. Environ., vol. 64, no. 3, pp. 234-253, 1998. (Pubitemid 29363293)
3. C. Atzberger, "Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models," Remote Sens. Environ., vol. 93, pp. 53-67, 2004. (Pubitemid 39234710)
4. C. Atzberger, T. Jarmer, M. Schlerf, B. Kötz, and W. Werner, "Retrieval of wheat bio-physical attributes from hyperspectral data and radiative transfer model," in Proc. 3rd EARSeL Workshop Imaging Spectrosc., Herrsching, Germany, 2003, pp. 473-482.
5. C. Atzberger and K. Richter, "Geostatistical regularization of inverse models for the retrival of vegetation biophysical variables," Proc. SPIE-Int. Soc. Opt. Eng., vol. 7478, 2009, art. no. 747810.
6. C. Bacour, F. Baret, D. Béal, M.Weiss, and K. Pavageau, "Neural network estimation of LAI, fAPAR, fCover and LAI Cab, from top of canopy MERIS reflectance data: Principles and validation," Remote Sens. Environ., vol. 105, pp. 313-325, 2006. (Pubitemid 44802847)
7. F. Baret, G. Guyot, and D. J. Major, "Crop biomass evaluation using radiometric measurements," Photogrammetria, vol. 43, no. 5, pp. 241-256, 1989.
8. F. Baret and S. Buis, , S. Liang, Ed., "Estimating canopy characteristics from remote sensing observations: Review of methods and associated problems," in Advances in Land Remote Sensing: System, Modeling, Inversion and Application. Belrin, Germany: Springer, 2008, pp. 171-200.
9. A. G. Blackburn, "Quantifying chlorophylls and carotenoids at leaf and canopy scales: An evaluation of some hyperspectral approaches," Remote Sens. Environ., vol. 66, pp. 273-285, 1998.
10. G. A. Carter, "Ratios of leaf reflectances in narrow wavebands as indicators of plant stress," Int. J. Remote Sens., vol. 15, pp. 697-704, 1994.
11. J. G. P. W. Clevers and L. Kooistra, "Using hyperspectral remote sensing data for retrieving canopy chlorophyll and nitrogen content," IEEE J. Sel. Topics Appl. Earth Observations Remote Sens., vol. 99, p. 1, 2011.
12. P. J. Curran, J. L. Dungan, and H. L. Gholz, "Seasonal LAI in slash pine estimated with Landsat TM," Remote Sens. Environ., vol. 39, pp. 3-13, 1992.
13. R. Colombo, D. Bellingeri, D. Fasolini, and C. M. Marino, "Retrieval of leaf area index in different vegetation types using high resolution satellite data," Remote Sens. Environ., vol. 86, pp. 120-131, 2003. (Pubitemid 36832474)
14. B. Combal, F. Baret, M. Weiss, A. Trubuil, D. Macé, A. Pragnère, R. Myneni, Y. Knyazikhin, and L. Wang, "Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem," Remote Sens. Environ., vol. 84, pp. 1-15, 2003a. (Pubitemid 35409419)
15. R. Darvishzadeh, A. Skidmore, M. Schlerf, and C. Atzberger, "Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland," Remote Sens. Environ., vol. 112, pp. 2592-2604, 2008a.
16. R. Darvishzadeh, A. K. Skidmore, M. Schlerf, C. Atzberger, F. Corsi, and M. A. Cho, "LAI and chlorophyll estimated for a heterogeneous grassland using hyperspectral measurements," ISPRS J. Photogramm. Remote Sens., vol. 63, no. 4, pp. 409-426, 2008b.
17. R. Darvishzadeh, C. Atzberger, A. Skidmore, and M. Schlerf, "Mapping leaf area index in a Mediterranean grassland with airborne hyperspectral imagery: Comparison of statistical to physical models," ISPRS J. Photogramm. Remote Sens., vol. 66, no. 6, pp. 894-906, Nov. 2011.
18. W. A. Dorigo, "Improving the robustness of cotton status characterisation by radiative transfer model inversion of multi-angular CHRIS/PROBA data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 5, no. 1, pp. 18-29, Feb. 2012, doi: 10.1109/JSTARS. 2011.2171181..
19. W. A. Dorigo, R. Zurita-Milla, A. J. W. de Wit, J. Brazile, R. Singh, and M. E. Schaepman, "A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling," Int. J. Appl. Earth Observation Geoinf., vol. 9, pp. 165-193, 2007. (Pubitemid 46546146)
20. H. Fang and S. Liang, "A hybrid inversion method for mapping leaf area index fromMODIS data: Experiments and application to broadleaf and needle leaf canopies," Remote Sens. Environ., vol. 94, pp. 405-424, 2005. (Pubitemid 40134212)
21. I. Filella, J. Peñuelas, L. Lorens, and M. Estiarte, "Reflectance assessment of seasonal and annual changes in biomass and CO uptake of a Mediterranean shrubland submitted to experimental warming and drought," Remote Sens. Environ., vol. 90, pp. 308-318, 2004. (Pubitemid 38431248)
22. T. Fourty, F. Baret, S. Jacquemoud, G. Schmuck, and J. Verdebout, "Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems," Remote Sens. Environ., vol. 56, pp. 104-117, 1996. (Pubitemid 26352592)
23. A. A. Gitelson, A. Vina, V. Ciganda, C. D. Rundquist, and J. T. Arkebauer, "Remote estimation of canopy chlorophyll content in crops," Geophys. Res. Lett., vol. 32, no. L08403, 2005.
24. T. Hawkins, E. Gardiner, and G. Comer, "Modeling the relationship between extractable chlorophyll and SPAD-502 readings for endangered plant species research," J. Nature Conservation, vol. 17, pp. 123-127, 2009.
25. R. Houborg and E. Boegh, "Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data," Remote Sens. Environ., vol. 112, pp. 186-202, 2009. (Pubitemid 350138006)
26. S. Jacquemoud and F. Baret, "PROSPECT: A model of leaf optical properties spectra," Remote Sens. Environ., vol. 34, pp. 75-91, 1990.
27. S. Jacquemoud, F. Baret, B. Andrieu, F. M. Danson, and K. Jaggard, "Extraction of vegetation biophysical parameters by inversion of the models on sugar beet canopy reflectance data. Application to TM and AVIRIS sensors," Remote Sens. Environ., vol. 52, pp. 163-172, 1995. (Pubitemid 26438371)
28. S. Jacquemoud, W. Verhoef, F. Baret, C. Bacour, P. J. Zarco-Tejada, G. P. Asner, C. François, and S. L. Ustin, " models: A review of use for vegetation characterization," Remote Sens. Environ., vol. 113, pp. S56-S66, 2009.
29. Y. Knyazikhin, J. Kranigk, R. B. Myneni, O. Panfyorov, and G. Gravenhorst, "Influence of small-scale structure on radiative transfer and photosynthesis in vegetation canopies," J. Geophys. Res. D, Atmospheres, vol. 103, pp. 6133-6144, 1998. (Pubitemid 28392666)
30. B. Koetz, F. Baret, H. Poilvé, and J. Hill, "Use of coupled canopy structure dynamic and radiative transfermodels to estimate biophysical canopy characteristics," Remote Sens. Environ., vol. 95, pp. 115-124, 2005. (Pubitemid 40240811)
31. A. Kuusk, The Hot-Spot Effect in Plant Canopy Reflectance, R. B. Myneni and J. Ross, Eds. New York: Springer-Verlag, 1991, pp. 139-159.
32. C. Lauvernet, F. Baret, L. Hascoët, S. Buis, and F. X. Le Dimet, "Multitemporal- patch ensemble inversion of coupled surface-atmosphere radiative transfermodels for land surface characterization," Remote Sens. Environ., vol. 112, pp. 851-861, 2008. (Pubitemid 351297849)
33. G. le Maire, C. François, K. Soudani, D. Berveiller, J. Y. Pontailler, N. Bréda, H. Genet, H. Davi, and E. Dufrêne, "Calibration and validation of hyperspectral indexes for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass," Remote Sens. Environ., vol. 112, pp. 3846-3864, 2008.
34. N. S. Liang, Qualitative Remote Sensing of Land Surfaces. New York: Wiley, 2004.
35. L. Liu and Z. Cheng, "Detection of vegetation light-use efficiency based on solar-induced chlorophyll fluorescence separated from canopy radiance spectrum," IEEE J. Sel. Topics Appl. Earth Observations Remote Sens., vol. 3, no. 3, pp. 306-312, 2010, 2010.
36. J. Markwell, J. C. Osterman, and J. L. Mitchell, "Calibration of MinoltaSPAD- 502 leaf chlorophyll meter," Photosynthet. Res., vol. 46, no. 3, pp. 467-472, 1995.
37. "MATLAB, the Language of Technical Computing," Mathworks Inc., Natick, MA, 2007.
38. M. W. Matthew, S. M. Adler-Golden, A. Berk, S. C. Richtsmeier, R. Y. Levine, L. S. Bernstein, P. K. Acharya, G. P. Anderson, G. W. Felde, M. P. Hoke, A. Ratkowski, H.-H. Burke, R. D. Kaiser, and D. P. Miller, "Status of atmospheric correction using a MODTRAN4-based algorithm," Proc. SPIE-Int. Soc. Opt. Eng., vol. 4049, pp. 199-207, 2000.
39. "Chlorophyll meter SPAD-502," Minolta,Maarssen, The Netherlands, 2003.
40. K. Richter, C. Atzberger, F. Vuolo, and G. D'Urso, "Experimental assessment of the sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize," Can. J. Rem. Sens., vol. 35, no. 3, pp. 230-247, 2009.
41. M. Schlerf and C.Atzberger, "Inversion of a forest reflectancemodel to estimate structural canopy variables from hyperspectral remote sensing data," Remote Sens. Environ., vol. 100, pp. 281-294, 2006. (Pubitemid 43145870)
42. G. H. Suits, "The calculation of the directional reflectance of a vegetativecanopy," Remote Sens. Environ., vol. 2, pp. 117-125, 1972.
43. S. L. Ustin, S. Jacquemoud, P. J. Zarco-Tejada, and G. P. Asner, , S. L. Ustin, Ed., "Remote sensing ofthe environment: State of the science and new directions," in Manual of Remote Sensing. Volume 4: Remote Sensing for Natural Resource Management and Environmental Monitoring. New York: Wiley, 2001, p. 848.
44. W. Verhoef, "Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model," Remote Sens. Environ., vol. 16, no. 2, pp. 125-141, 1984.
45. W.Verhoef, "Earth observationmodeling based on layer scatteringmatrices," Remote Sens. Environ., vol. 17, pp. 165-178, 1985.
46. M. Vohland, S. Mader, and W. Dorigo, "Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL," Int. J. Appl. Earth Observation Geoinf., vol. 12, pp. 71-80, 2010.
47. C. Walthall, W. Dulaney, M. Anderson, J. Norman, H. Fang, and S. Liang, "A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM imagery," Remote Sens. Environ., vol. 92, pp. 465-474, 2004. (Pubitemid 39204629)
48. M. Weiss, F. Baret, R. B. Myneni, A. Pragnère, and Y. Knyazikhin, "Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data," Agronomie, vol. 20, pp. 3-22, 2000a. (Pubitemid 30130332)
49. L. Xue and L. Yang, "Deriving leaf chlorophyll content of green-leafy vegetables from hyperspectral reflectance," ISPRS J. Photogramm. Remote Sens., vol. 64, pp. 97-106, 2009.
50. P. J. Zarco-Tejada and S. L. Ustin, "Modeling canopy water content for carbon estimates from MODIS data at land EOS validation sites," in Proc. Int. Geosci. Remote Sens. Symp., Sydney, NSW, Australia, 2001, pp. 342-344. (Pubitemid 34236738)
51. P. J. Zarco-Tejada, J. R.Miller, J. Harron, B. Hu, T. L. Noland, N. Goel, G. H. Mohammed, and P. Sampson, "Needle chlorophyll content estimation through model inversion using hyperspectral data from boreal conifer forest canopies," Remote Sens. Environ., vol. 89, pp. 189-199, 2004. (Pubitemid 38178914)
52. Q. Zhang, X. Xiao, B. Braswell, E. Linder, F. Baret, and B. Moore Iii, "Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model," Remote Sens. Environ., vol. 99, pp. 357-371, 2005. (Pubitemid 41572632)