Connecting forest ecosystem and microwave backscatter models

International Journal of Remote Sensing

Volumn 11, Issue 7, 1990, Pages 1277-1298

  Kasischke, Eric S ^a   Christensen, Norman L ^b  

^a ALTARUM INSTITUTE   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING - ALGORITHMS; ECOSYSTEMS - REMOTE SENSING;

EARTH OBSERVING SYSTEM (EOS); FOREST ECOSYSTEM MODELS; LOBLOLLY PINE FORESTS; MICROWAVE BACKSCATTER MODELS;

FORESTRY;

FOREST ECOSYSTEM; MICROWAVE BACKSCATTER; MICROWAVE BACKSCATTER MODEL; MICROWAVE REMOTE SENSING; REMOTE SENSING;

EID: 0025570958     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431169008955093     Document Type: Article

References (46)

1. BLANCHARD, A., 1990, Identification of forest information in radar signatures identified through measurements. International Journal of Remote Sensing (this issue).
2. BURKHART, H. E., and WALTON, S. B., 1985, Incorporating crown ratio into taper equations for loblolly pine trees. Forest Science, 31,478-484
3. BYRNE, J. C, and REED, D. D., 1986, Complex compatible taper and volume estimation systems for red and loblolly pines. Forest Science, 32, 423-443.
4. CHRISTENSEN, N. L., 1988, Analysis of Duke Forest permanent plots: patterns of production and mortality of seedlings and trees. In Forest Response Program Annual Meeting-Project Status Reports, Vol. 1, NCSU Atmospheric Research Program, Raleigh, North Carolina, pp. 85-89.
5. CHRISTENSEN, N. L., Jr., and KASISCHKE, E. S., 1987, The use of active microwave remote sensors in forest ecology studies. Proceedings of the 1987 International Geoscience and Remote Sensing Symposium held in Ann Arbor, Michigan, on 18-21 May 1987, I.E.E.E. 87CH2434-9 (New York: I.E.E.E.), pp. 457-466.
6. CLARK, A., III, and TARAS, M. A., 1976, Comparison of above ground biomass of four major southern pines. Forest Products Journal, 26, 25-29.
7. DANIELS, R. F., and BURKHART, H. E., 1975, Simulation of Individual Tree Growth and Stand Development in Managed Loblolly Pine Plantations (Blacksburg, Virginia: Virginia Polytechnic Institute).
8. DEWERS, R. S., and MOEHRING, D. M., 1971, Effect of soil water stress on initiation of ovulate primordia in loblolly pine. Forest Science, 16, 219-221.
9. DOBSON, M. C, 1988, Diurnal and seasonal variation in the microwave dielectric constant of selected trees. Proceedings of IGARSS '88 held in Edinburgh, Scotland, on 13-16 September 1988, ESA SP-284 (I.E.E.E. 88CH2497-6) (Paris: European Space Agency), p. 1754.
10. DOBSON, M. C., PARIS, J. F., ULABY, F. W., and MCDONALD, K., 1990, Status of radar scatterometer measurements over forested areas. International Journal of Remote Sensing (this issue).
11. DURDEN, S. L., VAN ZYL, J. J., and ZEBKER, H. H., 1990, Polarimetric Radar Forest Signatures, International Journal of Remote Sensing (this issue).
12. GAISER, R. N., 1950, Relation between soil characteristics and site conditions of loblolly pine in the coastal plain region of Virginia and the Carolinas. Journal of Forestry, 48, 271-275.
13. GRANO, C. X., 1957, Indices to potential cone production of loblolly pine. Journal of Forestry, 55, 890-891.
14. HELD, D. N., BROWN, W. E., and MILLER, T. W., 1988, Preliminary results from the NASA/JPL multifrequency, multipolarization SAR. Proceedings of the 1988 I.E.E.E. Radar Conference held in Ann Arbor, Michigan on 20-21 April 1988, I.E.E.E. 88-80254 (Ann Arbor: I.E.E.E.) pp. 7-8.
15. HEPP, T. E., and BRISTLER, G. H., 1982, Estimating crown biomass in loblolly pine plantations in the Carolina flatwoods. Forest Science, 28, 115-127.
16. HODGES, J. D., and LORIO, P. R., Jr., 1971, Comparison of field techniques for measuring moisture stress in large loblolly pines. Forest Science, 17, 220-223.
17. HOUGHTON, R. A., HOBBIE, J. E., MELLILO, J. M., MOORE, B., III, PETERSON, B. J., SHAVER, G. R., AND WOODWELL, G. M., 1983, Changes in the carbon content of terrestrial biota and soils between 1860 and 1980: a net release of CO2 to the atmosphere. Ecological Monographs. 53, 235-262.
18. KASISCHKE, E. S., MAFFETT, A. L., and LARSON, R. W., 1987, Statistical modeling of speckle distributions on airborne SAR imagery. Proceedings of the 1987 International Geoscience and Remote Sensing Symposium held in Ann Arbor, Michigan, on 18-21 May 1987, I.E.E.E. 87CH2434-9 (New York: I.E.E.E.), pp. 1357-1362.
19. KINERSON, R. S., HIGGINBOTHAM, K. O., and CHAPMAN, R. C, 1974, The dynamics of foliage distribution within a forest canopy. Journal of Applied Ecology, 11, 347-353.
20. KINERSON, R. S., RALSTON, C. W., and WELLS, C. G., 1977, Carbon cycling in a loblolly pine plantation. Oecologia, 29, 1-10.
21. KOZMA, A., NICHOLS, A. D., RAWSON, R. F., SHACKMAN, S. J., HANEY, C. W., and SHANNE, J. J., Jr, 1986, Multifrequency, multipolarization SAR for remote sensing. Proceedings of the 1986 International Geoscience and Remote Sensing Symposium held in Zurich, Switzerland, on 8-11 September 1986, ESA SP-254 (Paris: European Space Agency), pp. 715-719.
22. LABYAK, L. F, and SCHUMACHER, F. X., 1954, The contribution of its branches to the main-stem growth of loblolly pines. Journal of Forestry, 52, 333-337.
23. MITCHELL, K. J., 1969, Simulation of growth of even-aged stands of white spruce. Yak School of Forestry Bulletin, 75.
24. MOORE, B., BOONE, R. D., HOBBIE, J. E., HOUGHTON, R. A., MELILLO, J. M., PETERSON, B. J., SHAVER, G. R., VOROSMARTY, C. J., and WOODWELL, G. M., 1981, A simple model for analysis of the role of terrestrial ecosystems in the global carbon budget. In Carbon Cycle Modeling. Scope 16, edited by B. Bolin (New York: John Wiley).
25. NASA, 1983, Strategy for Earth Science Issues, Land Related Global Habitability Sciences Working Group, NASA Technical Memorandum 85841, Washington, D.C
26. NATIONAL ACADEMY OF SCIENCES, 1985, A Strategy for Earth Science from Space in the 1980s and 1990s-Part II: Atmosphere and Interactions with Solid Earth, Oceans and Biota, (Washington, D.C: National Academy Press).
27. NEHMETH, J. C, 1971, Dry-matter production in young loblolly (Pinus Taeda L. and slash (Pinus Elliottii Englm.) plantations. Ph.D. Dissertation, North Carolina State University, North Carolina.
28. PASTOR, J-, and HUSTON, M., 1986, Predicting ecosystem properties from physical data: a case study of nested moisture-climatic gradients along the Appalachian chain. In Coupling of Ecological Studies with Remote Sensing: Potentials at Four Biosphere Reserves in the United States, edited by M, I, Myer and D. A. Crossley, Jr (Washington, D.C: US Department of State Publication 9504), pp. 82-95.
29. PASTOR, J., and POST, W. M., 1985, Development of a linked forest productivity-soil process model. ORNL/TM-9519, Oak Ridge National Laboratory, Oak Ridge, Tennessee.
30. PEET, R. K., and CHRISTENSEN, N. L., 1987, Competition and tree death. Bioscience, 37, 586-595.
31. PEET, R. K., and COUNCIL, O. P., 1982, Rates of Biomass accumulation in North Carolina Piedmont Forests, unpublished report to the North Carolina Energy Institute.
32. PICKETT, S. T. A., 1989, Space-for-time substitutions as an alternative to long-term studies. In Long Term Studies in Ecology: Approaches and Alternatives, edited by G. E. Lickens (New York: Springer-Verlag), pp. 110-135.
33. RICHARDS, J. A., SUN, G-Q., and SIMONETT, D. S., 1987, L-band radar backscatter modeling of forest stands. I.E.E.E. Transactions on Geoscience and Remote Sensing, 25, 487-498.
34. RUNNING, S. W., 1984, Documentation and preliminary validation of H20TRANS and DAYTRANS, two models for predicting transpiration and water stress in western coniferous forests. U.S.D.A. Forest Service Research Paper RM-252.
35. RUNNING, S. W., PETERSON, D. L., SPANNER, M. A., and TEUBER, K. B., 1986, Remote sensing of coniferous forest leaf area. Ecology, 67, 273-276.
36. RUNNING, S. W., NEMANI, R. R., PETERSON, D. L., BAND, L. E., POTTS, D. F., PIERCE, L. L., and SPANNER, M. A., 1989, Mapping regional forest evapotranspiration and photosynthesis by coupling satellite data with ecosystem simulation. Ecology, 70, 1090-1101
37. SHUGART, H. H., 1984, A Theory of Forest Dynamics: The Ecological Implications Forest Succession Models (New York: Springer-Verlag).
38. SULLIVAN, R., NICHOLS, A., RAWSON, R., HANEY, C, DARREFF, F., and SCHANNE, J., Jr, 1988, Polarimetric X/L/C-band SAR, Proceedings of the 1988 I.E.E.E. Radar Conference held in Ann Arbor, Michigan, on 20-21 April 1988, I.E.E.E, 88-80254 (Ann Arbor: I.E.E.E.), pp. 9-14.
39. SUN, G-Q., and SIMONETT, D. S., 1988, Simulation of L-band HH microwave backscattering from coniferous forest stands: a comparison with SIR-B data. Photogrammetric Engineering and Remote Sensing, 54, 1195-1201.
40. THAMES, J. L., 1963, Needle variation in loblolly pine from four different geographic seed sources. Ecology, 44, 168-169.
41. ULABY, F. T., MOORE, R. K., and FUNG, A. K., 1986, Microwave Remote Sensing, Active and Passive-Volume 111: From Theory to Application (Dedham, Massachusetts: Artech House, Inc.).
42. ULABY, F. T., SARABANDI, K., MCDONALD, K., WHITT, M., and DOBSON, M. C, 1990, Michigan microwave canopy scattering model (MIMICS). International Journal of Remote Sensing (this issue).
43. WAY, J. B., PARIS, J., CASEY, D., KASISCHKE, E., SLAUGHTER, C, VIERECK, L., CHRISTENSEN, N., DOBSON, M. C, ULABY, F., RICHARDS, J., MILNE, A., SIEBER, A., AHERN, F. J., SIMONETT, D., HOFFER, R., IMHOFF, M., and WEBER, J., 1990, The effect of changing environmental conditions on microwave signatures of forest ecosystems: preliminary results of the March 1988 Alaskan aircraft SAR experiment. International Journal of Remote Sensing, 11, 1119-1144.
44. WENGER, K. F., 1957, Annual variation in the seed crops of loblolly pine. Journal of Forestry, 55, 567-569.
45. Wu, S-T., and SADER, S. A., 1987, Multipolarization SAR data for surface feature delineation and forest vegetation characterization. I.E.E.E. Transactions on Geoscience and Remote Sensing, 25, 67-76.
46. ZOBEL, B. J., and RHODES, R. R., 1957, Specific gravity indices for use in breeding loblolly pine trees. Forest Science, 3, 281-285.