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The spatial scaling effect of continuous canopy Leaves Area Index retrieved by remote sensing

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Abstract

Leave Area Index (LAI) is one of the most basic parameters to describe the geometric structure of plant canopies. It is also important input data for climatic model and interaction model between Earth surface and atmosphere, and some other things. The spatial scaling of retrieved LAI has been widely studied in recent years. Based on the new canopy reflectance model, the mechanism of the scaling effect of continuous canopy Leaf Area Index is studied, and the scaling transform formula among different scales is found. Both the numerical simulation and the field validation show that the scale transform formula is reliable.

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References

  1. Badhwar G D, MacDonald R B, Metha N C. Satellite-derived leaf-area-index and vegetation maps as input to global carbon cycle models—A hierarchical approach. Int J Remote Sens, 1986, 7: 265–281

    Article  Google Scholar 

  2. Baret F, Guyot G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sens Environ, 1991, 35: 161–173

    Article  Google Scholar 

  3. Bicheron P, Leroy M. A method of biophysical parameter retrieval at global scale by inversion of a vegetation reflectance model. Remote Sens Environ, 1999, 67: 251–266

    Article  Google Scholar 

  4. Wood E F, Lakshmi V. Scaling water and energy fluxes in climate systems: Three land-atmospheric modeling experiments. J Clim, 1993, 6: 439–857

    Article  Google Scholar 

  5. Bonan G B. Land-atmosphere interactions for climate system models: Coupling biophysical, biogeochemical, and ecosystem dynamical processes. Remote Sens Environ, 1995, 51: 57–73

    Article  Google Scholar 

  6. Buermann W, Dong J, Zeng X, et al. Evaluation of the utility of satellite-based vegetation leaf area index data for climate simulations. J Clim, 2001, 14(17): 3536–3550

    Article  Google Scholar 

  7. Townshend J R G, Justice C O. Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations. Int J Remote Sens, 1988, 9: 187–236

    Article  Google Scholar 

  8. Aman A, Randriamanantena H P, Podaire A. Upscale integration of normalized difference vegetation index: The problem of spatial heterogeneity. IEEE Trans Geosci Remote Sensing, 1992, 30: 326–338

    Article  Google Scholar 

  9. Bonan G B, Pollard D, Thompson S L. Influence of subgrid-scale heterogeneity in leaf area index, stomatal resistance and soil moisture on grid-scale land-atmosphere interactions. J Clim, 1993, 6: 1882–1897

    Article  Google Scholar 

  10. Ehleringer J R, Field C B. Scaling Physiological Processes: Leaf to Globe. Boston: Academic Press, 1993

    Google Scholar 

  11. Hall F G, Huemmrich K F, Goetz S J, et al. Satellite remote sensing of surface energy balance: Success, failures, and unresolved issues in FIFE. J Geophys Res, 1992, 97(D17): 19061–19089

    Google Scholar 

  12. Hu Z, Islam S. A framework for analyzing and designing scale invariant remote sensing algorithms. IEEE Trans Geosci Remote Sensing, 1997, 35: 747–755

    Article  Google Scholar 

  13. Tian Y, Wang Y, Zhang Y, et al. Radiative transfer based scaling of LAI retrievals from reflectance data of different resolutions. Remote Sens Environ, 2003, 84: 143–159

    Article  Google Scholar 

  14. Chen J M. Spatial scaling of a remotely sensed surface parameter by contexture. Remote Sens Environ, 1999, 69: 30–42

    Article  Google Scholar 

  15. Tian Y H, Woodcock C E, Wang Y J. Multiscale analysis and validation of the MODIS LAI product I. Uncertainty assessment. Remote Sens Environ, 2002, 83: 414–430

    Article  Google Scholar 

  16. Garrigues S, Allard D, Baret F, et al. Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data. Remote Sens Environ, 2006, 105: 286–298

    Article  Google Scholar 

  17. Chen J M, Black T A. Defining leaf area index for non-flat leaves. Plant Cell Environ, 1992, 15: 421–429

    Article  Google Scholar 

  18. Zhang R, Sun X, Zhu Z. Scale transformation and realistic quantitative remote sensing in IMGRASS (in Chinese). Clim Environ Res, 1997, 2(3): 310–315

    Google Scholar 

  19. Li X, Strahler A H. Geometric-optical bidirectional reflectance modeling of a coniferous forest canopy. IEEE Trans Geosci Remote Sensing, 1986, 24: 906–919

    Article  Google Scholar 

  20. Chen J M, Leblanc S. A 4-scale bidirectional reflection model based on canopy architecture. IEEE Trans Geosci Remote Sensing, 1997, 35: 1316–1337

    Article  Google Scholar 

  21. Nilson T, Kuusk A. A reflectance model for the homogeneous plant canopy and its inversion. Remote Sens Environ, 1989, 27: 157–167

    Article  Google Scholar 

  22. Nilson T. Approximate analytical methods for calculating the reflection functions of leaf canopies in remote sensing applications. In: Myneni R B, Ross J, eds. Photon-vegetation Interactions: Applications in Optical Remote Sensing and Plant physiology. Heidelberg-New York: Springer-Verlag, 1991.162–189

    Google Scholar 

  23. Xu X. Physics of Remote Sensing (in Chinese). Beijing: Peking University Press, 2005. 47–49

    Google Scholar 

  24. Hapke B. Bidirectional reflectance spectroscopy: 1. Theory. J Geophys Res, 1981, 86: 3039–3054

    Article  Google Scholar 

  25. Hapke B. Bidirectional reflectance spectroscopy: 4. The extinction coefficient and the opposition effect. Icarus, 1986, 67: 264–280

    Article  Google Scholar 

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Correspondence to WenJie Fan.

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Supported by National Basic Research Program of China (Grant No. 2007CB714402) and National Natural Science Foundation of China (Grant Nos. 40401036, 40734025 and 40401036)

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Xu, X., Fan, W. & Tao, X. The spatial scaling effect of continuous canopy Leaves Area Index retrieved by remote sensing. Sci. China Ser. D-Earth Sci. 52, 393–401 (2009). https://doi.org/10.1007/s11430-009-0024-0

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  • DOI: https://doi.org/10.1007/s11430-009-0024-0

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