Linearization of NDVI based on its relationship with vegetation fraction

Photogrammetric Engineering and Remote Sensing

Volumn 76, Issue 8, 2010, Pages 965-975

  Jiang, Zhangyan ^a   Huete, Alfredo R ^a  

^a UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LINEARIZATION;

ADJUSTMENT FACTORS; BIOPHYSICAL PARAMETERS; FUNCTIONAL RELATIONSHIP; GLOBAL MONITORING; NORMALIZED DIFFERENCE VEGETATION INDEX; SATURATION PROBLEMS; VEGETATION DYNAMICS; VEGETATION FRACTIONS;

VEGETATION;

AERIAL SURVEY; DATA SET; ERROR ANALYSIS; GROUND-BASED MEASUREMENT; IMAGE PROCESSING; LAND SURFACE; NDVI; REFLECTANCE; VEGETATION DYNAMICS; VEGETATION STRUCTURE;

EID: 80052508111     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/PERS.76.8.965     Document Type: Review

References (55)

1. Baret, F., and G. Guyot, 1991. Potentials and limits of vegetation indices for LAI and APAR assessment, Remote Sensing of Environment, 35(2-3):161-173.
2. Broge, N.H., and E. Leblanc, 2000. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density, Remote Sensing of Environment, 76(2):156-172. (Pubitemid 32442453)
3. Carlson, T.N., and D.A. Ripley, 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index, Remote Sensing of Environment, 62(3):241-252. (Pubitemid 28052010)
4. Chen, J., 1999. Spatial scaling of a remotely sensed surface parameter by contexture, Remote Sensing of Environment, 69(1):30-42. (Pubitemid 29326397)
5. Chen, J., and J. Cihlar, 1996. Retrieving leaf area index of boreal conifer forests using Landsat TM images, Remote Sensing of Environment, 55(2):153-162.
6. Choudhury, B.J., N.U. Ahmed, S.B. Idso, R.J. Reginato, and C.S.T. Daughtry, 1994. Relations between evaporation coefficients and vegetation indexes studied by model simulations, Remote Sensing of Environment, 50(1):1-17. (Pubitemid 2154520)
7. Clevers, J.G.P.W., 1988. The derivation of a simplified reflectance model for the estimation of leaf area index, Remote Sensing of Environment, 25(1):53-69. (Pubitemid 19296786)
8. Cracknell, A.P., 2001. The exciting and totally unanticipated success of the AVHRR in applications for which it was never intended, Advances in Space Research, 28(1):233-240. (Pubitemid 33030898)
9. Deering, D.W., 1978. Rangeland Reflectance Characteristics Measured by Aircraft and Spacecraft Sensors, Ph.D. Dissertation, Texas A & M University, College Station, Texas, 338 p.
10. Defries, R.S., and A.S. Belward, 2000. Global and regional land cover characterization from satellite data, International Journal of Remote Sensing, 21(6-7):1083-1092.
11. Donohue, R.J., M.L. Roderick, and T.R. McVicar, 2008. Deriving consistent long-term vegetation information from AVHRR reflectance data using a cover-triangle-based framework, Remote Sensing of Environment, 112(6):2938-2949.
12. Ek, M.B., K. E. Mitchell, Y. Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, and J.D. Tarpley, 2003. Implementation of Noah land surface model advances in the National Centers for environmental prediction operational mesoscale Eta model, Journal of Geophysical Research, 108(D22), 8851, doi:10.1029/2002JD003296.
13. Galvao, L.S., I. Vitorello, and M.A. Pizarro, 2000. An adequate band positioning to enhance NDVI contrasts among green vegetation, senescent biomass, and tropical soils, International Journal of Remote Sensing, 21(9):1953-1960. (Pubitemid 30325299)
14. Garrigues, S., D. Allard, F. Baret, and M. Weiss, 2006. Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data, Remote Sensing of Environment, 105(4):286-298. (Pubitemid 44779693)
15. Gilabert, M.A., J. González-Piqueras, F.J. García-Haro, and J. Meliá, 2002. A generalized soil-adjusted vegetation index, Remote Sensing of Environment, 82(2-3):303-310.
16. Gitelson, A.A., 2004. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation, Journal of Plant Physiology, 161(2):165-173. (Pubitemid 38271969)
17. Gitelson, A.A., Y.J. Kaufman, R. Stark, and M.N. Merzlyak, 1996. Use of green channel in remote sensing of global vegetation from EOS-MODIS, Remote Sensing of Environment, 58(3):289-298.
18. Gitelson, A.A., Y.J. Kaufman, R. Stark, and D. Rundquist, 2002. Novel algorithms for remote estimation of vegetation fraction, Remote Sensing of Environment, 80(1):76-87. (Pubitemid 34271203)
19. Gitelson, A.A., B.D. Wardlow, G.P. Keydan, and B. Leavitt, 2007. An evaluation of MODIS 250-m data for green LAI estimation in crops, Geophysical Research Letters, 34, L20403, doi: 1029/2007GL031620.
20. Gutman, G., and A. Ignatov, 1998. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models, International Journal of Remote Sensing, 19(8):1533-1543.
21. Heumann, B.W., J.W. Seaquist, L. Eklundh, and P. Jönsson, 2007. AVHRR derived phonological change in the Sahel and Soudan, Africa, 1982-2005, Remote Sensing of Environment, 108(4):385-392. (Pubitemid 46722591)
22. Huemmrich, K.F., 2001. The GeoSail model: A simple addition to the SAIL model to describe discontinuous canopy reflectance, Remote Sensing of Environment, 75(3):423-431. (Pubitemid 34608921)
23. Huete, A.R., 1988. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25(3):295-309. (Pubitemid 19297854)
24. Huete, A.R., K. Didan, T. Miura, E.P. Rodriguez, X. Gao, and L.G. Ferreira, 2002. Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83(1-2):195-213. (Pubitemid 35307469)
25. Huete, A.R., R.D. Jackson, and D.F. Post, 1985. Spectral response of a plant canopy with different soil backgrounds, Remote Sensing of Environment, 17(1):37-53.
26. Jackson, R.D., and A.R. Huete, 1991. Interpreting vegetation indices, Preventive Veterinary Medicine, 11(3-4):185-200.
27. Jasinski, M.F., and P.S. Eagleson, 1989. The structure of red-infrared scattergrams of semivegetated landscapes, IEEE Transactions on Geoscience and Remote Sensing, 27(4):441-451.
28. Jasinski, M.F., and P.S. Eagleson, 1990. Estimation of subpixel vegetation cover using red-infrared scattergrams, IEEE Transactions on Geoscience and Remote Sensing, 28(2):253-267.
29. Jiang, Z., A.R. Huete, J. Chen, Y. Chen, J. Li, G. Yan, and X. Zhang, 2006a. Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction, Remote Sensing of Environment, 101(3):366-378.
30. Jiang, Z., A.R. Huete, J. Li, and Y. Chen, 2006b. An analysis of angle-based with ratio-based vegetation indices, IEEE Transactions on Geoscience and Remote Sensing, 44(9):2506-2513. (Pubitemid 44321545)
31. Jiang, Z., A.R. Huete, J. Li, and J. Qi, 2007. Interpretation of the modified soil-adjusted vegetation index isolines in red-NIR reflectance space, Journal of Applied Remote Sensing, 1:013503.
32. Jordan, C.F., 1969. Derivation of leaf area index from quality of light at the forest floor, Ecology, 50(4):663-666.
33. Karnieli, A., Y.J. Kaufman, L. Remer, and A. Wald, 2001. AFRI - Aerosol free vegetation index, Remote Sensing of Environment, 77(1):10-21. (Pubitemid 32667752)
34. Kaufman, Y.J., and D. Tanré, 1992. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS, IEEE Transactions on Geoscience and Remote Sensing, 30(2):261-270.
35. Leprieur, C., Y.H. Kerr, S. Mastorchio, and J.C. Meunier, 2000. Monitoring vegetation cover across semi-arid regions: Comparison of remote observations from various scales, International Journal of Remote Sensing, 21(2):281-300. (Pubitemid 30092207)
36. Liu, H., and A.R. Huete, 1995. A feedback based modification of the NDVI to minimize canopy background and atmospheric noise, IEEE Transactions on Geoscience and Remote Sensing, 33(2):457-465.
37. Lu, H., M.R. Raupach, T.R. McVicar, and D.J. Barrett, 2003. Decomposition of vegetation cover into woody and herbaceous component using AVHRR NDVI time series, Remote Sensing of Environment, 86(1):1-18. (Pubitemid 36832466)
38. Mutanga, O., and A.K. Skidmore, 2004. Narrow band vegetation indices overcome the saturation problem in biomass estimation, International Journal of Remote Sensing, 25(19):3999-4014. (Pubitemid 39364377)
39. Myneni, R.B., F.G. Hall, P.J. Sellers, and A.L. Marshak, 1995. The interpretation of spectral vegetation indices, IEEE Transactions on Geoscience and Remote Sensing, 33(2):481-486.
40. Myneni, R.B., C.D. Keeling, C.J. Tucker, G. Asrar, and R.R. Nemani, 1997. Increased plant growth in the northern high latitudes from 1981-1991, Nature, 386:698-702.
41. Nilson, T., 1971. A theoretical analysis of the frequency of gaps in plant stands, Agricultural and Forest Meteorology, 8(1):25-38.
42. Perry, C.R., and L.F. Lautenschlager, 1984. Functional equivalence of spectral vegetation indices, Remote Sensing of Environment, 14(1-3):169-182. (Pubitemid 14259855)
43. Qi, J., A. Chehbouni, A.R. Huete, H.Y. Kerr, and S. Sorooshian, 1994. A modified soil adjusted vegetation index, Remote Sensing of Environment, 48(2):119-126. (Pubitemid 2099697)
44. Rondeaux, G., and F. Baret, 1996. Optimization of soil-induced vegetation indices, Remote Sensing of Environment, 55(2):95-107.
45. Rouse, J.W., R.H. Haas, J.A. Schell, D.W. Deering, and J.C. Harlan, 1974. Monitoring the vernal advancement and retrogradation (greenwave effect) of natural vegetation, NASA/GSFC Type III Final Report, Greenbelt, Maryland.
46. Rouse, J.W., R.H. Hass, J.A. Schell, and D.W. Deering, 1973. Monitoring vegetation systems in the Great Plains with ERTS, Proceedings of the Third ERTS Symposium, Vol. I.
47. Townshend, J.R.G., 1994. Global data sets for land applications from the advanced very high resolution radiometer: An introduction, International Journal of Remote Sensing, 15(17):3319-3332.
48. Ünsalan, C., and K.L. Boyer, 2004. Linearized vegetation indices based on a formal statistical framework, IEEE Transactions on Geoscience and Remote Sensing, 42(7):1575-1585.
49. Vaiopoulos, D., G.A. Skianis, and K. Nikolakopoulos, 2004. The contribution of probability theory in assessing the efficiency of two frequently used vegetation indices, International Journal of Remote Sensing, 25(20):4219-4236. (Pubitemid 39403748)
50. Verhoef, W., 1984. Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model, Remote Sensing of Environment, 16(2):125-141.
51. Viña, A., and A.A. Gitelson, 2005. New developments in the remote sensing estimation of the fraction of absorbed photosynthetically active radiation in crops, Geophysical Research Letters, 32, L17403, doi: 10.1029/2005GL023647. (Pubitemid 41536209)
52. Viña, A., G.M. Henebry, and A.A. Gitelson, 2004. Satellite monitoring of vegetation dynamics: Sensitivity enhancement by the wide dynamic range vegetation index, Geophysical Research Letters, 31, L04503, doi: 10.1029/2003GL019034.
53. Wang, Q., S. Adiku, J. Tenhunen, and A. Granier, 2005. On the relationship between NDVI with leaf area index in a deciduous forest site, Remote Sensing of Environment, 94(2):244-255. (Pubitemid 40020262)
54. Wittich, K-P., and O., Hansing, 1995. Area-averaged vegetative cover fraction estimated from satellite data, International Journal of Biometeorology, 38(4):209-215.
55. Zeng, X., R.E. Dickinson, A. Walker, M. Shaikh, R.S. DeFries, and J. Qi, 2000. Derivation and evaluation of global 1-km fractional vegetation cover data for land modeling, Journal of Applied Meteorology, 39(6):826-839. (Pubitemid 30603234)