Coupling remotely sensed data to an ecosystem simulation model - An example involving a coniferous plantation in upland Wales

Global Ecology and Biogeography Letters

Volumn 5, Issue 4-5, 1996, Pages 192-205

  Green, Robert M ^a   Lucas, Neil S ^a   Curran, Paul J ^a   Foody, Giles M ^a  

^a NONE

Author keywords

Biomass; Ecosystem simulation model; Leaf area index; Leaf nitrogen concentration; Picea sitchensis; Remote sensing

Indexed keywords

PICEA SITCHENSIS;

EID: 0008743113     PISSN: 09607447     EISSN: None     Source Type: Journal    
DOI: 10.2307/2997788     Document Type: Article

References (61)

1. Aber, J.D., Driscoll, C., Federer, C.A., Lathrop, R., Lovett, G., Melillo, J.M., Stendler, P. & Vogelman, J. (1993) A strategy for the regional analysis of the effects of physical and chemical climate change on biogeochemical cycles in Northeastern (U.S.) forests. Ecol. Modell. 67, 37-47.
2. Allan, J.A. (1991) Global biogeography: who is responsible? J. Biogeogr. 18, 121-122.
3. Chevez Jr, P.S. (1988) An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sens. Environ. 24, 459-479.
4. Cropper Jr, W.P. & Gholz, H.L. (1993) Simulation of the carbon dynamics of a Florida slash pine plantation. Ecol. Modell. 66, 231-249.
5. Curran, P.J. (1983) Multispectral remote sensing for the estimation of green leaf area index. Phil. Trans. Roy. Soc. Ser. A, 309, 257-270.
6. Curran, P.J. (1989) Remote sensing of foliar chemistry. Remote Sens. Environ. 30, 271-278.
7. Curran, P.J. (1994) Attempts to drive ecosystem simulation models at local to regional scales. Environmental remote sensing from regional to global scales (ed. by G. M. Foody and P.J. Curran), pp. 149-166. Wiley, Chichester.
8. Curran, P.J. & Hay, A.M. (1986) The importance of measurement error for certain procedures in remote sensing at optical wavelengths. Photogramm. Eng. Remote Sens. 52, 229-241.
9. Curran, P.J. & Plummer, S. (1992) Remote sensing of forest productivity. NERC News, 20, 22-23.
10. Curran, P.J., Dungan, J.L. & Gholz, H.L. (1992) Seasonal LAI in slash pine estimated with Landsat TM. Remote Sens. Environ. 39, 3-13.
11. Coutts, M.P. & Philipson, M.P. (1978) Tolerance of tree roots to waterlogging. 1. Survival of Sitka spruce and Lodgepole pine. New Phytol. 80, 63-69.
12. Danson, F.M. (1989) Factors affecting the remotely-sensed response of coniferous forest canopies. Unpublished Ph.D. thesis, Department of Geography, University of Sheffield.
13. Danson, F.M., Curran, P.J. & Plummer, S.E. (1992) Remotely sensed inputs into a forest ecosystem model. Proceedings of the 6th Australasian Remote Sensing Conference, pp. 130-139. University of Christchurch, Christchurch.
14. Dewar, R.C. & Cannell, M.G.R. (1991) Carbon sequestration in the trees, products and soils of forest plantations: an analysis using UK examples. Tree Physiol. 11, 49-71.
15. Dickenson, R.E. (1984) Modelling evapotranspiration for three-dimensional global climate models. Geophys. Monogr. Am. Geophys. Union, 29, 58-72.
16. Dobson, C.M., Ulaby, F.T., Le Toan, T., Kasischke, E.S. & Christensen, N. (1992) Dependence of radar backscatter on coniferous torest biomass from P-, L-, and C-band SAR data. IEEE Trans. Geosci. Remote Sens. 30, 412-415.
17. Estes, J.E. & Consentino, M.J. (1989) Remote sensing of vegetation. Global ecology, towards a science of the biosphere (ed. by M.B. Rambler and R. Fester), pp. 75-111. Academic Press, London.
18. Foody, G.M. (1986) An assessment of the topographic effects on SAR image tone. Can. J. Remote Sens. 12, 124-131.
19. Foody, G.M. & Curran, P.J. (eds) (1994a) Environmental remote sensing from regional to global scales. Wiley, Chichester.
20. Foody, G.M. & Curran, P.J. (1994b) Estimation of tropical forest extent and regenerative stage using remotely sensed data. J. Biogeogr. 21, 223-244.
21. Green, R.M. (1995) Remote sensing of forest biophysical properties using polarimetric synthetic aperture radar data. Unpublished Ph.D. thesis, Department of Geography, University of Wales, Swansea.
22. Groom, G.B., Michell, P.L., Baker, J.R., Settle, J.J. & Cordey, R.A. (1992) Relationships of backscatter to physical characteristics of pine stands in Thetford Forest, U.K., MAESTRO-1/AAGRISCATT, Radar Techniques for Forestry and Agricultural Applications. Final Workshop, ESA, ESTEC, Noordwijk, The Netherlands, pp. 137-141. ESA WPP-31, ESA, Paris.
23. Hamilton, G.J. (1975) Forest mensuration handbook. Forestry Commission Booklet 39. H.M.S.O., London.
24. Hungerford, R.D., Nemani, R.R., Running, S.W. & Coughlan, J.C. (1989) MTCLIM: a mountain microclimate simulation model. Research Paper INT-414. Ogden, UT. U.S. Department of Agriculture, Forest Service, Intermountain Research Station.
25. Hunt, Jr. E.R. & Rock, B.N. (1989) Detection of changes in leaf water content using near and middle infrared reflectance. Remote Sens. Environ. 30, 43-54.
26. Johnson, L. (1991) AVIRIS observations of forest ecosystems along the Oregon transect. Proceedings of the Third Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) Workshop, pp.94-101. JPL Publication 91-28, Pasadena, CA.
27. Johnson, L., Hlavken, G. & Peterson, D.L. (1994) Multivariate analysis of AVIRIS data for canopy biochemical estimation along the Oregon transect. Remote Sens. Environ. 47, 216-230.
28. Kupiec, J. A. (1994) The remote sensing of foliar chemistry. Unpublished Ph.D. thesis, Department of Geography, University of Wales, Swansea.
29. Landsberg, J.J., Kaugmann, M.R., Binkley, D., Isebrands, J. & Jarvis, P.G. (1991) Evaluating progress towards closed forest models based on fluxes of carbon, water and nutrients. Tree Physiol. 9, 1-15.
30. Le Toan, T., Beaudoin, A., Riom, J. & Guyan, D. (1992) Relating forest biomass to SAR data. IEEE Trans. Geosci. Remote Sens. 30, 403-411.
31. Luckman, A.J. & Baker, J.R. (1993) AIRSAR Observations of a temperate forest and modelling of topographic effects. Proceedings of the 25th International Symposium, Remote Sensing and Global Environment Change. Graz. Austria, pp. 1316-1327.
32. Maison, P.A. & Ustin, S.L. (1991) The future of remote sensing in ecological studies. Ecology, 72, 1917.
33. Millard, P. & Proe, M.F. (1992) Storage and internal cycling of nitrogen in relation to seasonal growth of Sitka spruce. Tree Physiol. 10, 33-43.
34. Peterson, D.L. & Hubbard, G.S. (1992) Scientific issues and the potential remote sensing requirements for plant biochemical content. J. Imaging Sci. Tech. 36, 446-456.
35. Peterson, D.L. & Running, S.W. (1989) Applications in forest science and management. Theory and applications of optical remote sensing (ed. by G. Asrar), pp. 429-473. Wiley, New York.
36. Pope, K.O., Rey-Benayas, J.M. & Paris, J.F. (1994) Radar remote sensing of forest and wetland ecosystems in the central American tropics. Remote Sens. Environ. 48, 205-219.
37. Ranson, K.J. & Sun, G. (1994a) Northern forest classification using multifrequency and multi-polarization SAR images. Remote Sens. Environ. 47, 142-153.
38. Ranson, K.J. & Sun, G. (1994b) Mapping biomass of a northern forest using multi-frequency SAR data. IEEE Trans. Geosci. Remote Sens. 32, 388-396.
39. Rauste, Y. (1990) Incidence angle dependence in forested and non-forested areas in Seasat data. Int. J. Remote Sens. 11, 1267-1276.
40. Roughgarden, J., Running, S.W. & Matson, P.A. (1991) What does remote sensing do for ecology? Ecology, 72, 1918-1922.
41. Running, S.W. & Coughlan, J.C. (1988) A general model of forest ecosystem process for regional applications. 1. Hydrologic balance, canopy gas exchange and primary production processes. Ecol. Modell. 42, 125-154.
42. 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 models. Ecology, 70, 1090-1101.
43. Sader, S.A., Stone, T.A. & Joyce, A.T. (1990) Remote sensing of tropical forests: an overview of research and applications using non-photographic sensors. Photogramm. Eng. Remote Sens. 56, 1343-1351.
44. Sellers, P.J. (1985) Canopy reflectance, photosynthesis and transpiration. Int. J. Remote Sens. 6, 1335-1372.
45. Sellers, P.J. (1987) Canopy reflectance, photosynthesis and transpiration II. The role of biophysics in the linearity of their interdependence. Remote Sem. Environ. 21, 143-183.
46. Sellers, P.J., Mintz, Y. Sud, Y.C. & Dalcher, A. (1986) A simple biosphere model (SiB) for the use with general circulation models. J. Atmos. Sci. 43, 505-531.
47. Stoddardt, D.R. (1986) On geography. Basil Blackwell, Oxford.
48. Sun, G-Q. & Simonett, D.S. (1988) A composite L-band HH radar backscattering model for coniferous stands. Photogramm. Eng. Remote Sens. 54, 1195-1201.
49. Teillet, P.M., Goudin, B., Meuinier, J.F. & Goodenough, D.G. (1985) Slope-aspect effects in synthetic aperture radar imagery. Can. J. Remote Sens. 11, 39-49.
50. Ulaby, K.T. & Elachi, C. (eds) (1990) Radar polarimetry for geoscience applications. Artech House, Inc. Norwoods, MA.
51. Ulaby, F.T., Sarabandi, K., McDonald, K., Whitt, M. & Dobson, M.C. (1990) Michigan Microwave Canopy Scattering Model. Int. J. Remote Sens. 11, 1223-1253.
52. Ustin, S.L., Wessman, C.A., Curtiss, B., Kasischke, E., Way, J. & Vanderbilt, V.C. (1991) Opportunities for using the EOS imaging spectrometers and synthetic aperture radar in ecological models. Ecology, 72, 1914-1945.
53. Vane, G. & Goetz, A.F.H. (1993) Terrestrial imaging spectrometry: current status, future trends. Remote Sens. Envron. 44, 117-126.
54. Vane, G., Green, R.O., Chrien, T.G., Enmark, H.T., Hansen, E.G. & Porter, W.M. (1993) The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). Remote Sens. Environ. 44, 127-143.
55. Wang, Y., Day, J. & Sun, G. (1993) Santa Barbara microwave backscatter model for woodlands. Int. J. Remote Sens. 14, 1477-1493.
56. Way, J., Rignot, E.J.M., McDonald, K.C., Oren, R., Kwok, R., Bonan, G., Dobson, M.C., Viereck, L.A. & Roth, J.E. (1994) Evaluating the type and state of Alaska Taiga forests with imaging radar for use in ecosystem models. IEEE Trans. Geosci. Remote Sens. 32, 353-370.
57. Webster, R. (1989) Is regression really what you want? Soil Use Manage. 5, 47-53.
58. Wessman, C.A. (1990) Evaluating canopy biochemistry. Remote Sensing Bios. Funct. (ed. by R.J. Hobbs and H.A. Mooney), pp. 135-156. Springer-Verlag, London.
59. Wickland, D.E. (1991) Mission to Planet Earth: the ecological perspective. Ecology, 72, 1923-1933.
60. Wilson, M.F., Henderson-Sellers, A., Dickenson, R.E. & Kennedy, P.J. (1987) Sensitivity of the Biosphere -Atmosphere Transfer Scheme (BATS) to the inclusion of variable soil characteristics. J. Climat. Appl. Meteorol. 26, 341-362.
61. Wu, S.T. (1987) Potential applications of multipolarization SAR for pine-plantation biomass estimation. IEEE Trans. Geosci. Remote Sens. 25, 403-409.