Modeling spatially distributed ecosystem flux of boreal forest using hyperspectral indices from AVIRIS imagery

Journal of Geophysical Research Atmospheres

Volumn 106, Issue D24, 2001, Pages 33579-33591

  Rahman, Abdullah F ^a,b   Gamon, John A ^a   Fuentes, David A ^a   Roberts, Dar A ^c   Prentiss, Dylan ^c  

^a CALIFORNIA STATE UNIVERSITY   (United States)

^b BALL STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AVIRIS; BOREAL FOREST; CARBON DIOXIDE; ECOSYSTEM DYNAMICS; FLUX MEASUREMENT; SPATIAL DISTRIBUTION;

EID: 0035727942     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2001JD900157     Document Type: Article

References (79)

1. Adams, W. W., III, and B. Demmig-Adams, Operation of the xanthophyll cycle in higher plants in response to diurnal changes in incident sunlight, Planta, 186, 390-398, 1992.
2. Adams, J. B., M. O. Smith, and A. R. Gillespie, Imaging spectroscopy: Interpretation based on spectral mixture analysis, in Remote Geochemical Analysis: Elemental and Mineralogical Composition, vol. 7, C. M. Pieters and P. Englert, pp. 145-166, Cambridge Univ. Press, New York, 1993.
3. Adams, W. W., III, B. Demmig-Adams, B. A. Logan, D. H. Barker, and C. B. Osmond, Rapid changes in xanthophyll cycle-dependent energy dissipation and photosystem II efficiency in two vines, Stephania japonica and Smilax australis, growing in the understory of an open Eucalyptus forest, Plant Cell Environ., 22, 125-136, 1999.
4. Asrar, G., M. Fuchs, E. T. Kanemasu, and J. H. Hatfield, Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat, Agron. J., 76, 300-306, 1984.
5. Baldocchi, D. D., B. B. Hicks, and T. P. Meyers, Measuring biosphere-atmosphere exchanges of biologically related gases with micrometeorological methods, Ecology, 69, 1331-1340, 1988.
6. Baldocchi, D. D., C. A. Vogel, and B. Hall, Seasonal variation of energy and water vapor exchange rates above and below a boreal jack pine forest canopy, J. Geophys. Res., 102, 28,939-28,951, 1997.
7. Bartlet, D. S., G. J. Whiting, and J. M. Hartman, Use of vegetation indices to estimate intercepted solar radiation and net carbon dioxide exchange of a grass canopy, Remote. Sens. Environ., 30, 115-128, 1991.
8. Bonan, G. B., and H. H. Shugart, Environmental factors and ecological processes in boreal forests, Annu. Rev. Ecol. Syst., 20, 1-28, 1989.
9. Choudhury, B. J., Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis, Remote Sens. Environ., 22, 209-223, 1987.
10. Daughtry, C. S. T., K. P. Gallo, and M. E. Bauer, Spectral estimates of solar radiation intercepted by corn canopies, Agron. J., 75, 527-531, 1983.
11. Demmig-Adams, B., and W. Adams, The role of xanthophyll cycle carotenoids in the protection of photosynthesis, Trends Plant Sci., 1, 21-26, 1996.
12. Esser, G., Implications of climate change for production and decomposition in grassland and coniferous forests, Ecol. Appl., 2(1), 47-54, 1992.
13. Fillela, I., J. L. Amaro, and J. Penuelas, Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index, Physiol. Plant., 96, 211-216, 1996.
14. Fuentes, D. A., J. A. Gamon, H.-L. Qiu, D. A. Sims, and D. A. Roberts, Mapping Canadian boreal forest vegetation using pigment and water absorption features derived from the AVIRIS sensor, J. Geophys. Res., this issue.
15. Gamon, J. A., and J. S. Surfus, Assessing leaf pigment content with a reflectometer, New Phytol., 143, 105-117, 1999.
16. Gamon, J. A., C. B. Field, W. Bilger, O. Bjorkman, A. Freeden, and J. Penuelas, Remote sensing of the xanthophyll cycle and chlorophyll florescence in sunflower leaves and canopies, Oecologia, 85, 1-7, 1990.
17. Gamon, J. A., J. Penuelas, and C. B. Field, A narrow waveband spectral index that tracks diurnal changes in photosynthetic efficiency, Remote Sens. Environ., 4, 35-44, 1992.
18. Gamon, J. A., R. O. Green, D. A. Roberts, and L. Serrano, Deriving photosynthetic function from calibrated imaging spectrometry, in Proceedings of the International Colloquium on Photosynthesis and Remote Sensing, edited by G. Guyot, pp. 55-60, Montpellier, France, 1995a.
19. Gamon, J. A., D. A. Roberts, and R. O. Green, Evaluation of the photochemical reflectance index in AVIRIS imagery, in Proceedings of the Fifth Annual JPL Airborne Earth Science Workshop, edited by R. O. Green, pp. 55-58, JPL Publ., 95-1, Jet Propul. Lab., Pasadena, Calif., 1995b.
20. Gamon, J. A., C. B. Field, M. L. Goulden, and K. L. Griffin, Relationship between NDVI, canopy structure and photosynthesis in three California vegetation types, Ecol. Appl., 5, 28-41, 1995c.
21. Gamon, J. A., L. Serrano, and J. S. Surfus, The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels, Oecologia, 112, 492-501, 1997.
22. Gamon, J. A., C. B. Field, A. L. Fredeen, and S. Thayer, Assessing photosynthetic downregulation in sunflower stands with an optically based model, Photosynthesis Res., 67, 113-125, 2001.
23. Goulden, M. L., J. W. Munger, S. M. Fan, B. C. Daube, and S. C. Wofsy, Measurements of carbon sequestration by long-term eddy covariance: Methods and a critical evaluation of accuracy, Global Change Biol., 2, 169-182, 1996.
24. Goulden, M. L., B. C. Daube, S. M. Fan, A. Sutton, J. W. Bazzaz, S. C. Munger, and S. C. Wofsy, Physiological responses of a black spruce forest to weather, J. Geophys. Res., 102, 28,987-28,996, 1997.
25. Goward, S. N., and K. F. Huemmrich, Vegetation canopy PAR absorbance and the normalized difference vegetation index: An assessment using the SAIL model, Remote Sens. Environ., 39, 119-140, 1992.
26. Goward, S. N., C. J. Tucker, and D. G. Dye, North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer, Vegetatio, 64, 3-14, 1985.
27. Goward, S. N., K. F. Huemmrich, and R. Warring, Visible-near infrared spectral reflectance of landscape component in western Oregon, Ecol. Appl., 4, 322-343, 1994.
28. Green, R. O., J. E. Conel, and D. A. Roberts, Estimation of aerosol optical depth, pressure elevation, water vapor and calculation of apparent surface reflectance from radiance measured by the Airborne Visible-Infrared imaging Spectrometer (AVIRIS) using MODTRAN2, in Imaging Spectromctry of the Terrestrial Environment, pp. 2-5, Int. Soc. for Opt. Eng., Bellingham, Wash., 1993.
29. Green, R. O., C. M. Sarture, T. G. Chrien, M. Aronsson, B. J. Chippendale, J. A. Faust, B. E. Pavri, C. J. Chovit, M. Solis, M. R. Olah, and O. Williams, Imaging spectroscopy and the Airborne Visible/ Imaging Spectroradiometer (AVIRIS), Remote Sens. Environ., 65, 227-248, 1998.
30. Hall, F. G., D. E. Knapp, and K. F. Huemmrich, Physically based classification and satellite mapping of biophysical characteristics in the southern boreal forest, J. Geophys. Res., 102, 29,567-29,580, 1997.
31. 2 transport based on observed winds, 2, Model description and simulated tracer experiments, in Aspects of Climate Variability in the Pacific and the Western Americas, Geophys. Monogr. Ser., vol. 55, edited by D. H. Peterson, pp. 237-274, AGU, Washington, D. C., 1989.
32. Hogg, E. H., et al., A comparison of sap flow and eddy fluxes of water vapor from a boreal deciduous forest, J. Geophys. Res., 102, 28,929-28,937, 1997.
33. Horst, T. W., and J. C. Weil, Footprint estimation for scalar flux measurements in the atmospheric surface layer, Boundary Layer Meteorol., 59, 279-296, 1992.
34. Horton, P., A. V. Ruban, and R. G. Walters, Regulation of light harvesting in green plants, Annu. Rev. Plant Physiol. Plant Molecul. Biol., 48, 641-671, 1996.
35. Houghton, J. T., G. T. Jenkins, and J. J. Ephraums, Climate Change: The IPCC Scientific Assessment, 366 pp., Cambridge Univ. Press, New York, 1990.
36. Jarvis, P. G., and J. W. Leverenz, Productivity of temperate, deciduous and evergreen forests, in Encyclopedia of Plant Physiology, vol. 12d, edited by O. L. Lange, P. S. Nobel, C. B. Osmond, and H. Ziegler, pp. 233-280, Springer-Verlag, New York, 1983.
37. Jarvis, P. G., J. M. Massheder, S. E. Hale, J. B. Moncrieff, M. B. Rayment, and S. L. Scott, Seasonal variation of carbon dioxide, water vapor and energy exchanges of a boreal black spruce forest, J. Geophys. Res., 102, 28,953-28,966, 1997.
38. Kaharabata, S. K., P. H. Scheupp, S. Ogunjemiyo, S. Shen, M. Y. Leclerc, R. L. Desjardins, and J. I. MacPherson, Footprint considerations in BOREAS, J. Geophys. Res., 102, 29,113-29,124, 1997.
39. 2 measurements, Nature, 382, 146-149, 1996.
40. Kumar, M., and J. L. Monteith, Remote sensing of crop growth, in Plants and the Daylight Spectrum, edited by H. Smith, pp. 133-144, Academic, San Diego, Calif., 1981.
41. Lieth, H., Modeling the primary productivity of the world, in Primary Production of the Biosphere, edited by H. Leithand and R. H. Whittaker, pp. 237-263, Springer-Verlag, New York, 1975.
42. Liu, J., J. M. Chen, J. Cihlar, and W. Chen, Net primary productivity distribution in the BOREAS region from a process model using satellite and surface data, J. Geophys. Res., 104, 27,235-27,754, 1999.
43. Magnani, F., M. Mencuccini, and J. Grace, Age-related decline in stand productivity: The role of structural acclimation under hydraulic constraints, Plant Cell Environ., 23, 251-263, 2000.
44. McMillen, R. T., An eddy correlation technique with extended applicability to non-simple terrain, Boundary Layer Meteorol., 43(3), 231-245, 1988.
45. Moncrieff, J. B., Y. Malhi, and R. Leuning, The propagation of errors in long-term measurements of land-atmosphere fluxes of carbon and water, Global Change Biol., 2, 231-240, 1996.
46. Monteith, J. L., Climate and the efficiency of crop production in Britain, Philos. Trans. R. Soc. London, 281, 277-294, 1977.
47. Myneni, R. B., and D. L. Williams, On the relationship between FA-PAR and NDVI, Remote Sens. Environ., 49, 200-211, 1994.
48. Nichol, C. J., K. F. Huemmrich, T. A. Black, P. G. Jarvis, C. L. Walthall, J. Grace, and F. G. Hall, Remote sensing of photosynthetic-light-use efficiency of boreal forest, Agric. Forest Meteorol., 101, 131-142, 2000.
49. Peñuelas, J., I. Filella, and J. A. Gamon, Assessment of photosynthetic radiation-use efficiency with spectral reflectance, New Phytol., 131, 291-296, 1995.
50. Pfündel, E., and W. Bilger, Regulation and possible function of the violaxanthin cycle, Photosynth. Res., 42, 89-109, 1994.
51. Pielou, E. C., The measurement of diversity in different types of biological collections, J. Theoret. Biol., 13, 131-144, 1966.
52. Pinter, P. J., Solar angle independence in the relationship between absorbed PAR and remotely sensed data for alfalfa, Remote Sens. Environ., 46, 19-25, 1993.
53. Potter, C. S., J. T. Randerson, C. B. Field, P. A. Matson, P. M. Vitousek, H. A. Mooney, and S. A. Klooster, Terrestrial ecosystem production: A process model based on global satellite and surface data, Global Biogeochem. Cycles., 7(4), 811-841, 1993.
54. 2: Carbon-13 evidence, Science, 256, 74-79, 1992.
55. Roberts, D. A., M. O. Smith, and J. B. Adams, Green vegetation, Nonphotosynthetic vegetation, and soil in AVIRIS data, Remote Sens. Environ., 44, 255-269, 1993.
56. Ruimy, A., B. Saugier, and G. Dedieu, Methodology for the estimation of terrestrial net primary production from remotely sensed data, J. Geophys. Res., 99, 5263-5283, 1994.
57. Running, S. W., and R. R. Nemani, Relating seasonal patterns of the AVHRR vegetation index to simulated photosynthesis and transpiration of forests in different climates, Remote Sens. Environ., 24, 347-367, 1988.
58. Ryan, M. G., and B. J. Yoder, Hydraulic limits to tree height and tree growth, What keeps trees from growing beyond a certain height?, BioScience, 47(4), 235-242, 1997.
59. SAS Institute Inc., StatView Reference (ISBN: I-58025-162-5), 44 pp., 1998.
60. 2-assimilation, chlorophyll fluorescence and zeaxanthin accumulation in field grown maple trees in the course of a sunny and a cloudy day, J. Plant Physiol., 148, 399-422, 1996.
61. Schlesinger, W. H., Carbon balance of terrestrial detritus, Annu. Rev. Ecol. Syst., 8, 51-81, 1977.
62. Schlesinger, W. H., Biogeochemistry: An Analysis of Global Change, 433 pp., Academic, San Diego, Calif., 1991.
63. Schmid, H. P., Source areas for scalars and scalar fluxes, Boundary Layer Meteorol., 67, 293-318, 1994.
64. Sellers, P. J., et al., The Boreal Ecosystem-Atmosphere study (BOREAS): An overview and early results from the 1994 field year, Bull. Am. Meteorol. Soc., 76(9), 1549-1577, 1995.
65. Sellers, P. J., S. O. Los, C. J. Tucker, C. O. Justice, D. A. Dazlich, G. J. Collatz, and D. A. Randall, A revised land surface parameterization (SiB2) for atmospheric GCMs, part II, The generation of global fields of terrestrial biophysical parameters from satellite data, J. Clim., 9, 706-737, 1996.
66. Sellers, P. J., et al., BOREAS in 1997: Experiment overview, scientific results, and future directions, J. Geophys. Res., 102, 28,731-28,769, 1997.
67. Shannon, C. E., A Mathematical Theory of Communication, Bell Syst. Tech. J., 27, 379-423, 1948.
68. Shultis, J. K., Calculated sensitivities of several optical radiometric indices for vegetation canopies, Remote. Sens. Environ., 38, 211-228, 1991.
69. Sukyer, A. E., S. B. Verma, and T. J. Arkebauer, Season-long measurement of carbon dioxide exchange in a boreal fen, J. Geophys. Res., 102, 29,021-29,028, 1997.
70. Stylinski, C. D., Effects of resource availability on plant reflectance and physiology, Ph.D. dissertation, Univ. of Calif., Davis, and San Diego State Univ., San Diego, Calif., 2000.
71. Tucker, C. J., and P. J. Sellers, Satellite remote sensing of primary production, Int. J. Remote Sens., 7, 1395-1416, 1986.
72. Vane, G., R. O. Green, T. G. Chrien, H. T. Enmark, E. G. Hansen, and W. M. Porter, The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), Remote Sens. Environ., 44, 127-143, 1993.
73. Verma, S. B., Micrometeorological methods for measuring surface fluxes of mass and energy, Remote Sens. Rev., 5(1), 99-115, 1990.
74. Wang, Y. P., and P. J. Polglase, Carbon balance in the tundra, boreal forest, and humid tropical forest during climate change: Scaling up from leaf physiology and soil carbon dynamics, Plant Cell Environ., 18, 1226-1244, 1995.
75. 2 exchange in tundra ecosystems: Community characteristics and relationships with multispectral surface reflectance, J. Geophys. Res., 97, 16,671-16,680, 1991.
76. 2 in a midlatitude forest, Science, 260, 1314-1317, 1994.
77. Yamamoto, H. Y., Biochemistry of the violaxanthin cycle in higher plants, Pure Appl. Chem., 51, 639-648, 1979.
78. Yoder, B. J., M. G. Ryan, R. H. Waring, A. W. Schoettle, and M. R. Kaufmann, Evidence of reduced photosynthetic rates in old trees, Forest Sci., 40(3), 513-527, 1994.
79. Zar, J. H., Biostatistical Analysis, pp. 32-36, Prentice Hall, Englewood Cliffs, N. J., 1984.