Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model

Remote Sensing of Environment

Volumn 85, Issue 3, 2003, Pages 257-270

  Fang, Hongliang ^a   Liang, Shunlin ^a   Kuusk, Andres ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b TARTU OBSERVATORY   (Estonia)

Author keywords

ETM+; Genetic algorithms; Inversion; Landsat 7; Leaf area index; Radiative transfer

Indexed keywords

ECOLOGY; ERRORS; GENES; GENETIC ALGORITHMS; OPTIMIZATION; REMOTE SENSING;

LEAF AREA INDEX;

VEGETATION;

ALGORITHM; CANOPY REFLECTANCE; LANDSAT; LEAF AREA INDEX; RADIATIVE TRANSFER; REMOTE SENSING;

EID: 0038035668     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(03)00005-1     Document Type: Article

References (45)

1. Analytical Spectral Devices (ASD) (2000). FieldSpec pro user's guide.
2. Baret, F., & Guyot, G. (1991). Potential and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35, 161-173.
3. Bicheron, P., & Leroy, M. (1999). A method of biophysical parameter retrieval at global scale by inversion of a vegetation reflectance model. Remote Sensing of Environment, 67, 251-266.
4. CEOS/WMO (Committee for Earth Observation Satellites/World Meteorology Organization), Satellite Systems and Requirements (The Official CEOS/WMO Online Database), http://alto-stratus.wmo.ch/sat/stations/SatSystem.html, visited in Dec., 2001.
5. Chase, T. N., Pielke, R. A., Kittel, T. G. F., S. R., & Nemani, R. (1996). Sensitivity of a general circulation model to global changes in leaf area index. Journal of Geophysical Research, 101, 7393-7408.
6. Clark, C., & Cañas, A. (1995). Spectral identification by artificial neural network and genetic algorithm. International Journal of Remote Sensing, 16(12), 2255-2275.
7. Davis, L. (1991). Handbook of genetic algorithms. New York: Van Nostrand-Reinhold.
8. de Wit, A. J. W. (1999). The Application of a Genetic Algorithm for Crop Model Steering using NOAA-AVHRR Data, http://cgi.girs.wageningen-ur.nl/cgi/products/publications.htm.
9. Fang, H., & Liang, S. (2003). Retrieve LAI from Landsat 7 ETM+ data with a neural network method: simulation and validation study. IEEE Transactions on Geoscience and Remote Sensing, (submitted for publication).
10. Goel, N. S., & Strebel, D. E. (1983). Inversion of vegetation canopy reflectance models for estimating agronomic variables: I. Problem definition and initial results using the Suits' model. Remote Sensing of Environment, 36, 73-104.
11. Goel, N. S., & Kuusk, A. (1992). Evaluation of one-dimensional analytical model for vegetation canopies. 12th International Geoscience and Remote Sensing Symposium (IGRASS) (pp. 505-507).
12. Goldberg, D. E. (1989). Genetic algorithms in search, optimization and machine learning. Reading, MA: Addison-Wesley.
13. Grefenstette, J. (1990). A user's guide to GENESIS, http://www.aic.nrl.navy.mil/galist/src/.
14. Jacquemoud, S. (1993). Inversion of the PROSPECT + SAIL canopy reflectance models from AVIRIS equivalent spectra: theoretical study. Remote Sensing of Environment, 44, 281-292.
15. 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.
16. Jin, Y., & Wang, Y. (1999). A genetic algorithm to simultaneously retrieve land surface roughness and soil wetness. International Journal of Remote Sensing, 22(15), 3093-3099.
17. Kimes, D. S., Knyazikhin, Y., Privette, J. L., Abuelgasim, A. A., & Gao, F. (2000). Inversion methods for physically-based models. Remote Sensing Review, 18, 381-440.
18. Kuusk, A. (1991). The determination of vegetation canopy parameters from optical measurements. Remote Sensing of Environment, 37, 207-218.
19. Kuusk, A. (1994). A multispectral canopy reflectance model. Remote Sensing of Environment, 50(2), 75-82.
20. Kuusk, A. (1995a). A fast invertible canopy reflectance model. Remote Sensing of Environment, 51, 342-350.
21. Kuusk, A. (1995b). A Markov chain model of canopy reflectance. Agricultural and Forest Meteorology, 76, 221-236.
22. Kuusk, A. (2001). A two-layer canopy, reflectance model. Journal of Quantitative Spectroscopy and Radiative Transfer, 71(1), 1-9.
23. LAI-COR (1991). LAI-2000 plant canopy analyzer: operating manual (pp. 4-14).
24. Liang, S., Fang, H., & Chen, M. (2001). Atmospheric correction of landsat ETM+ land surface imagery: I. Methods. IEEE Transactions on Geosciences and Remote Sensing, 39(11), 2490-2498.
25. Liang, S. (2003). Quantitative Remote Sensing of Land Surfaces. New York: John Wiley and Sons, Inc. (in press).
26. Liang, S., Fang, H., Morisette, J., Chen, M., Walthall, C., Daughtry, C., & Shuey, C. (2003). Atmospheric correction of landsat ETM+ land surface imagery: II. Validation and applications. IEEE Transactions on Geosciences and Remote Sensing (in print).
27. Liang, S., & Strahler, A. H. (1993). An analytic BRDF model of canopy radiative transfer and its inversion. IEEE Transaction on Geoscience and Remote Sensing, 31, 1081-1092.
28. Liang, S., & Strahler, A. H. (1994). Retrieval of surface BRDF from multi-angle remotely sensed data. Remote Sensing of Environment, 50, 18-30.
29. Lin, Y., & Sarabandi, K. (1999). Retrieval of forest parameters using a fractal-based coherent scattering model and a genetic algorithm. IEEE Transactions on Geoscience and Remote Sensing, 37(3), 1415-1424.
30. Myneni, R. B., Maggion, S., Iaquinta, J., Privette, J. L., Gobron, N., Pinty, B., Kimes, D. S., Verstraete, M. M., & Williams, D. L. (1995). Optical remote sensing of vegetation: modeling, caveats, and algorithms. Remote Sensing of Environment, 51, 169-188.
31. Nilson, T., & Kuusk, A. (1989). A reflectance model for the homogeneous plant canopy and its inversion. Remote Sensing of Environment, 27(2), 157-167.
32. Pinty, B., Verstraete, M. M., & Dickinson, R. E. (1990). A physical model for the bidirectional reflectance of vegetation canopies: Part 2. Inversion and validation. Journal of Geophysical Research, 95, 11767-11775.
33. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Plannery, B. P. (1992). Numerical recipes in C: the art of scientific computing. New York: Cambridge Univ. Press.
34. Price, J. C. (1990). On the information content of soil reflectance spectra. Remote Sensing of Environment, 33, 113-121.
35. Privette, J. L., Emery, W. J., & Schimel, D. S. (1996). Inversion of a vegetation reflectance model with NOAA AVHRR data. Remote Sensing of Environment, 58(2), 187-200.
36. Privette, J. L., Myneni, R. B., Tucker, C. J., & Emery, W. J. (1994). Invertibility of a 1-D discrete ordinates canopy reflectance model. Remote Sensing of Environment, 48, 89-105.
37. Rahman, H. (2001). Influence of atmospheric correction on the estimation of biophysical parameters of crop canopy using satellite remote sensing. International Journal of Remote Sensing, 22(1), 1245-1268.
38. Renders, J. M., & Flasse, S. P. (1996). Hybrid methods using genetic algorithms for global optimization. IEEE Transactions on Systems, Man, and Cybernetics: Part B. Cybernetics, 26(2), 243-258.
39. Running, S. W., Nemani, R. R., Peterson, D. L., Band, L. E., Potts, D. F., Pierce, L. L., & Spanner, M. A. (1989). Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation. Ecology, 70, 1090-1101.
40. Verhoef, W. (1984). Light scattering by leaf layers with application to canopy reflectance modeling: the SAIL model. Remote Sensing of Environment, 16, 125-141.
41. Verstraete, M. M., Pinty, B., & Dickinson, R. E. (1990a). Bidirectional reflectance of vegetation canopies: Part I. Theory. Journal of Geophysical Research, 95, 11755-11765.
42. Verstraete, M. M., Pinty, B., & Dickinson, R. E. (1990b). A physical model of the bidirectional reflectance vegetation canopies: I. Theory. J. Geophysical Res., 95(D8), 11755-11765.
43. Wang, Y., & Jin, Y. (2000). A genetic algorithm to simultaneously retrieve land surface roughness and soil moisture. Journal of Remote Sensing (Chinese), 4(2), 90-94.
44. Weiss, M., & Baret, F. (1999). Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data. Remote Sensing of Environment, 70, 293-306.
45. Zhuang, J., & Xu, X. (2000). Genetic algorithms and its application to the retrieval of component temperature. Remote Sensing for Land and Resources (Chinese), (1), 28-33.