Estimation of biomass of a mountainous tropical forest using Landsat TM data

Canadian Journal of Remote Sensing

Volumn 29, Issue 4, 2003, Pages 429-440

  Phua, Mui How ^a   Saito, Hideki ^b  

^a UNIVERSITI MALAYSIA SABAH   (Malaysia)

^b FORESTRY AND FOREST PRODUCTS RESEARCH INSTITUTE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMASS; CORRELATION METHODS; FORESTRY; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE NAVIGATION AIDS; VEGETATION;

HISTOGRAM METHOD; LANDSAT THEMATIC MAPPER; MINNAERT CORRECTION APPROACH; MOUNTAINOUS TROPICAL FOREST;

INFRARED IMAGING;

BIOMASS; CORRELATION; FORESTS; PLANTS; REGRESSION ANALYSIS; SATELLITES;

EID: 0142123345     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m03-005     Document Type: Article

References (32)

1. Aiba, S., and Kitayama, K. 1999. Structure, composition and species diversity in an altitude-substrate matrix of rain forest tree communities on Mount Kinabalu, Borneo. Plant Ecology, Vol. 140, pp. 139-157.
2. Chavez, P.S. 1988. An improved dark object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, Vol. 24, pp. 459-479.
3. Cohen, W.B., Spies, T.A., and Fiorella, M. 1995. Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A. International Journal of Remote Sensing, Vol. 16, No. 4, pp. 721-746.
4. Crist, E.P., and Cicone, R.C. 1984. Comparison of the dimensionality and features of simulated Landsat-4 MSS and TM data. Remote Sensing of Environment, Vol. 14, pp. 235-246.
5. Crist, E.P., and Kauth, R.J. 1986. The tasseled cap de-mystified. Photogrammetric Engineering and Remote Sensing, Vol. 52, pp. 81-86.
6. Franklin, J. 1986. Thematic mapper analysis of coniferous forest structure and composition. International Journal of Remote Sensing, Vol. 7, pp. 1287-1301.
7. Horler, D.N.H., and Ahern, F.J. 1986. Forestry information content of thematic mapper data. International Journal of Remote Sensing, Vol. 7, pp. 405-428.
8. Howard, J.A. 1991. Remote sensing of forest resources: theory and application. Chapman and Hall, London. 299 pp.
9. Itten, K.I., Meyer, P., Kellenberger, T., Leu, R., Sandmeier, ST., Bitter, P., and Seidel, K. 1992. Correction ofthe impact oftopography and atmosphere on Landsat-TM forest mapping of alpine regions. Remote Sensing Series Vol. 18, Department of Geography, University of Zurich-Irchel, Zurich.
10. Jordan, C.F. 1993. Ecology of tropical forests. In Tropical forestry handbook. Vol. 1. Edited by L. Pancel. Springer-Verlag, Berlin. pp. 165-197.
11. Justice, C.O., Wharton, S.W., and Holben, B.N. 1981. Application of digital terrain data to quantify and reduce the topographic effect on Landsat data. International Journal of Remote Sensing, Vol. 2, p. 213.
12. Karaska, M.A., Walsh, S.J., and Butler, D.R. 1986. Impact of environmental variables on spectral signatures acquired by Landsat-TM. International Journal of Remote Sensing, Vol. 7, pp. 1653-1667.
13. Kira, T. 1983. Ecology of tropical forest. Jinbun Shoin, Kyoto, 251 pp. [In Japanese.]
14. Kira, T., and Ogawa, H. 1971. Assessment of primary production in tropical equatorial forests. In Productivity of Forest Ecosystems, Proceedings ofthe Brussels Symposium 1969. Edited by P. Duvigneaud. UNESCO, Paris. pp. 309-321.
15. Kitayama, K. 1991. Vegetation of Mount Kinabalu Park, Sabah, Malaysia. East-West Center, Honolulu, Hawaii. 45 pp.
16. Lee, N.J, and Nakane, K. 1996. Forest vegetation classification and biomass estimation based on Landsat-TM data in a mountainous region of west Japan. In The use of remote sensing in the modeling of forest productivity. Edited by H.L. Gholz, K. Nakane, and H. Shimoda. Kluwer Academic Publishers, Dordrecht, The Netherlands. pp. 159-171
17. Lillesand, T.M., and Kiefer, R.W. 1994. Remote sensing and image interpretation. 3rd ed. John Wiley and Sons, New York. 750 pp.
18. Minnaert, M. 1941. The reciprocity principle in lunar photometry. Astrophysical Journal, Vol. 93, pp. 403-410.
19. Muramatsu, K., Furumi, S., Fujiwara, N., Hayashi, A., Daigo, M., and Ochiai, F. 2000. Pattern decomposition method in the albedo space for Lansat-TM and MSS data analysis. International Journal of Remote Sensing, Vol. 21, No. 1, pp. 99-119.
20. Nagano, M. 1978. Dynamics of stand development. In Biological production in a warm-temperate evergreen oak forest of Japan. Edited by J.T. Kira, Y. Ono, and T. Hosokawa. IBP Synthesis Vol. 18, The University of Tokyo Press, Tokyo. pp. 21-32.
21. Oladi, D., and Derenyi, E. 1996. Developing diameter at breast height (dbh) and height estimation model from remotely sensed data. In Proceedings of the 26th International Symposium on Remote Sensing of Environment, 2529 Mar. 1996, Vancouver, B.C. Canadian Remote Sensing Society, CASI, Ottawa, Ont. pp. 152-155.
22. Phua, M.H., Saito, H., and Aniya, M. 1998. Characterizing tropical forest in Kinabalu Park, Sabah, Malaysia, using Landsat-TM data. In Proceedings of the 19th Asian Conference on Remote Sensing, 16-20 Nov. 1998, Manila, Philippines. National Mapping and Resource Information Authority, Manila, Philippines. Vol. E(1), pp. 1-6.
23. Plummer, S.E. 1988. Exploring the relationships between leaf nitrogen content, biomass and the near-infrared/red reflectance ratio. International Journal of Remote Sensing, Vol. 9, No.1, pp. 177-183.
24. Richards, P.W. 1964. The tropical rainforest: an ecological study. Cambridge University Press, Cambridge, U.K. 450 pp.
25. Sader, S.A., Waide, R.B., Lawrence, W.T., and Joyce, A.T. 1989. Tropical forest biomass and successional age class relationships to a vegetation index derived from Landsat-TM data. Remote Sensing of Environment, Vol. 28, pp. 143-156.
26. Sellers, PJ. 1985. Canopy reflectance, photosynthesis and transpiration. International Journal of Remote Sensing, Vol. 6, No. 8, pp. 1335-1372.
27. Senoo, T., Iwanami, E., Tanaka, S., and Sugimura, T. 1983. Forest type classification in broad mountainous area by two seasonal Landsat-MSS data after ratioing. Remote Sensing Society of Japan, Vol. 3, pp. 55-64.
28. Siegal, B.S., Gillespie, A.R., and Skaley, J.E. 1980. Remote sensing in geology. Wiley, New York. 702 pp.
29. Slater, P.N., Doyle, F.J., Fritz, N.L., andWelch, R. 1983. Photographic systems for remote sensing. In Manual of remote sensing. 2nd ed. Edited by R.N. Colwell. American Society for Photogrammetry & Remote Sensing, Bethesda, Md. Vol. 1, Chapt. 6, pp. 231-291.
30. Smith, J.A., Lin, T.L., and Ranson, K.J. 1980. The Lambertian assumption and Landsat data. Photogrammetric Engineering and Remote Sensing, Vol. 46, No. 9, pp. 1183-1189.
31. Yamakura, T., Hagihara, A., Sukardjo, S., and Ogawa, H. 1986. Above ground biomass of tropical rain forest stands in Indonesian Borneo. Vegetation, Vol. 68, pp. 71-82.
32. Zeide, B. 1986. Crown width and stem diameter in open-crown trees. In Crown and canopy structure in relation to productivity. Edited by T. Fujimori and D. Whitehead. Forestry and Forest Products Research Institute, Ibaraki, Japan. pp. 146-158