Evaluation of approaches to estimating aboveground biomass in southern pine forests using SIR-C data

Remote Sensing of Environment

Volumn 59, Issue 2, 1997, Pages 223-233

  Harrell, Peter A ^a   Kasischke, Eric S ^b   Bourgeau Chavez, Laura L ^b   Haney, Eric M ^a,c   Christensen Jr , Norman L ^a  

^a DUKE UNIVERSITY   (United States)

^b ALTARUM INSTITUTE   (United States)

^c CALIFORNIA DEPARTMENT OF FISH AND GAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABOVEGROUND BIOMASS; BIOMASS; BIOMASS ESTIMATION; NUMERICAL IMAGE ANALYSIS; PINE FOREST; RADAR; REMOTE SENSING; SHUTTLE IMAGING RADAR C; SIR-C; SPACEBORNE IMAGING RADAR C;

USA, (SOUTHEAST);

BIOMASS; CORRELATION METHODS; ELECTROMAGNETIC WAVE POLARIZATION; ERRORS; REGRESSION ANALYSIS;

BIOMASS ESTIMATION; MULTIPLE POLARIZATION RADAR IMAGERY;

RADAR IMAGING;

EID: 0030613493     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0034-4257(96)00155-1     Document Type: Article

References (27)

1. Baskerville, G. L. (1972), Use of logarithmic regression in the estimation of plant biomass. Can. J. For. Res. 2:49-53.
2. Beaudoin, A., LeToan, T., Goze, S., Nezry, E., Lopes, A., Mougin, E., Hsu, C. C., Han, H. C., Kong, J. A., and Shin, R. T. (1994), Retrieval of forest biomass from SAR data. Int. J. Remote Sens. 15:2777-2796.
3. Dobson, M. C., Ulaby, F. T., Le Toan, T., Beaudoin, A., Kasischke, E. S., and Christensen, N. C. (1992), Dependence of radar backscatter on conifer forest biomass. IEEE Trans. Geosci. Remote Sens. 30:412-415.
4. Dobson, M. C., Ulaby, F. T., Pierce, L. E., Sharik, T. L., Bergen, K. M., Kellndorfer, J., Kendra, J. R., Li, E., Lin, Y. C., Nashashibi, A., Sarabandi, K. L., and Siqueira, P. (1995), Estimation of forest biomass characteristics in northern Michigan with SIR-C/X-SAR data. IEEE Trans. Geosci. Remote Sens. 33:877-894.
5. Draper, N. R., and Smith, H. (1966). Applied Regression Analysis, Wiley New York.
6. Foody, G. M., Palubinskas, G., Lucas, R. M., Curran, P. J., and Honzak, M. (1996), Identifying terrestrial carbon sinks: classification of successional stages in regenerating tropical forest from Landsat TM data. Remote Sens. Environ. 55: 205-216.
7. Gaston, G. G., Jackson, P. L., Vinson, T. S., Kolchugina, T. P., Botch, M., and Kobak, K. (1994), Identification of carbon quantifiable regions in the former Soviet Union using unsupervised classification of AVHRR global vegetation index images. Int. J. Remote Sens. 15:3199-3221.
8. Harrell, P. A., Bourgeau-Chavez, L. L., Kasischke, E. S., French, N. H. F., and Christensen, N. L., Jr. (1995), Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest. Remote Sens. Environ. 54:247-253.
9. Houghton, R. A. (1996), Land-use change and the temporal record. In Forest Management and the Global Carbon Cycle (M. J. Apps and D. T. Price, Eds.) NATO ASI Series, sub-series 1, Vol. 40, Global Environmental Change, Springer-Verlag, Berlin, pp. 117-134.
10. Hussin, Y. A., Reich, R. M., and Hoffer, R. M. (1991), Estimating slash pine biomass using radar backscatter. IEEE Trans. Geosci. Remote Sens. 29:427-431.
11. Kasischke, E. S. (1992), Monitoring changes in aboveground biomass in loblolly pine forests using multichannel synthetic aperture radar imagery, PhD dissertation, The University of Michigan, Ann Arbor, MI, 191 pp.
12. Kasischke, E. S., and Christensen, N. L., Jr. (1990), Connecting forest ecosystem and microwave backscatter models. Int. J. Remote Sens. 11:1277-1298.
13. Kasischke, E. S., Christensen, N. L., Jr., and Bourgeau-Chavez, L. L. (1995), Correlating radar backscatter with components of biomass in loblolly pine forests. IEEE Trans. Geosci. Remote Sens. 33:643-659.
14. Kasischke, E. S., Christensen, N. L., Jr., and Haney, E. (1994a), Modeling of geometric properties of loblolly pine tree and stand characteristics for use in radar backscatter models. IEEE Trans. Geosci. Remote Sens. 32:800-822.
15. Kasischke, E. S., Christensen, N. L., Jr., Haney, E., and Bourgeau-Chavez, L. L. (1994b), Observations on the sensitivity of ERS-1 SAR image intensity to changes in aboveground biomass in young loblolly pine forests. Int. J. Remote Sens. 15:3-16.
16. Kasischke, E. S., Melack, J., and Dobson, M. C. (1996), The use of imaging radars for ecological applications: a review. Remote Sens. Environ. 59:141-156.
17. Kinerson, R. S., Higginbotham, K. O., and Chapman, R. C. (1974), The dynamics of foliage distribution within a forest canopy. J. Appl. Ecol. 11:347-353.
18. Le Toan, T., Beaudoin, A., Riom, J., and Guyon, D. (1992), Relating forest biomass to SAR data. IEEE Trans. Geosci. Remote Sens. 30:403-411.
19. Ranson, K. J., Saatchi, S., and Sun, G. (1995), Boreal forest ecosystem characterization with SIR-C/XSAR. IEEE Trans. Geosci. Remote Sens. 33:867-877.
20. Ranson, K. J. and Sun, G. (1994), Mapping biomass of a northern forest using multifrequency SAR data. IEEE Trans. Geosci. Remote Sens. 32:388-396.
21. Rignot, E., Williams, C., Way, J. B., and Viereck, L. (1994), Mapping of forest types in Alaskan boreal forests using SAR imagery. IEEE Trans. Geosci. Remote Sens. 32:1051-1059.
22. Rignot, E., Zimmerman, R., and van Zyl, J. J. (1995), Spaceborne applications of P-band imaging radars for measuring forest biomass. IEEE Trans. Geosci. Remote Sens. 33: 1162-1169.
23. 2-induced climate change: comparison of four scenarios based on general circulation models. Climatic Change 21:367-384.
24. Smith, T. M., and Shugart, H. H. (1993), The transient response of carbon storage to a perturbed climate. Nature 361:563-566.
25. Stofan, E. R., Evans, D. L., Schmullius, C., Holt, B., Plaut, J. J., van Zyl, J. J., Wall, S. D., and Way, J. (1995), Overview of results of spaceborne imaging radar-C, X-band synthetic aperture radar (SIR-C/XSAR). IEEE Trans. Geosci. Remote Sens. 33:817-828.
26. Wang, Y., Davis, F. W., Melack, J. M., Kasischke, E. S., and Christensen, N. L., Jr. (1995), The effects of changes in forest biomass on radar backscatter from tree canopies. Int. J. Remote Sens. 16:503-513.
27. Wang, Y., Kasischke, E. S., Davis, F. W., Melack, J. M., and Christensen, N. L., Jr. (1994), The effects of changes in loblolly pine biomass and soil moisture variations on ERS-1 SAR backscatter: a comparison of observations with theory. Remote Sens. Environ. 49:25-31.