Abstract
Landsat Thematic Mapper (TM) data corrected topographically with the aid of digital terrain data were applied to the classification and mapping of forest vegetation and the estimation of its biomass in a mountainous region of Hiroshima Prefecture in west Japan.
Topographic correction was made based on the relationship between cos r (the solar incidence angle relative to the local terrain slope) and practical radiance response (digital number of TM). The forest vegetation was well classified into three forest types, including deciduous broadleaf forest, pine forest and Japanese cedar plantation, and into two nonforest types, clearcut area and cultivated land area, using the decision tree classification method based on corrected TM data. Classification accuracies for each vegetation type increased by 8–11% when corrected TM data were used instead of uncorrected data. Four vegetation indices were evaluated. Linear relationships were observed between two vegetation indices and forest biomass. However, the coefficient values of these relationships were not identical among the vegetation types. The correlation coefficient (r) between the Normalized Difference Vegetation Index (NDVI) and biomass for the pine forest was 0.85; correlation coefficients between the Differential Vegetation Index (DVI, Band 5 – Band 7) and biomass for the Japanese cedar plantation and the deciduous broadleaf forest were −0.83 and 0.80, respectively. Based on the linear relationships, above-ground biomass for all vegetation types was estimated and mapped. Mean biomass for the pine, Japanese cedar and deciduous broadleaf forests was estimated to be about 143, 135 and 121 t ha−1, respectively, and the mean and total biomass of forest vegetation within the study area (2040 ha) were estimated to be about 1331 ha−1 and 275.0 × 103 t, respectively.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ando, T., Hatiya, K., Doi, K., Kataoka, K., Kato, Y. and Sakaguchi, K. 1968. Studies on the system of density control of Cryptomeria japonica stand. Reprint. — Government Forest Experiment Station, Bulletin 209, Tokyo. 76 pp.
Beiward, A.S. and DeHoyos, A. 1987. A comparison of supervised maximum likelihood and decision tree classification for crop cover estimation from multitemporal Landsat MSS data. — Int. J. Rem. Sens. 8: 229–235.
Cavayas, F. 1987. Modeling and correction of topographic effect using multitemporal satellite images. — Can. J. Rem. Sens. 13: 49–67.
Chavez, P.S. 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. — Rem. Sens. Environ. 24: 459–479.
Chavez, P.S. 1989. Radiometric calibration of Landsat Thematic multispectral images. — Photogramm. Engin. Rem. Sens. 55: 1289–1294.
Duggin, M.J. 1983. The effect of irradiation on vegetation assessment. — Int. J. Rem. Sens. 4: 601–608.
Eliason, P.T., Soderblom, L.A. and Chavez, P.S. 1981. Extraction of topographic and spectral albedo information from multispectral images. — Photogramm. Engin. Rem. Sens. 48: 1571–1579.
Hiroshima Prefecture, 1989. The Guide of Environmental Use in Hiroshima Prefecture. — Department of Environmental Preservation, Hiroshima Prefecture, pp. 13–27.
Holben, B.N. and Justice, C. O. 1981. An examination of spectral band ratioing to reduce the topographic effect on remotely sensed data. — Int. J. Rem. Sens. 2: 115–133.
Horler, D.N.H. and Ahern, F.J. 1986. Forest information content of Thematic Mapper data. — Int. J. Rem. Sens. 7: 405–428.
Hudson, W.D. 1987. Evaluating Landsat classification accuracy from forest cover-types maps. — Can. J. Rem. Sens. 12: 39–42.
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. — Int. J. Rem. Sens. 2: 213–230.
Kawata, Y., Ueno, S. and Kusaka, T. 1988. Radiometric correction for atmospheric and topographic effects on Landsat MSS images. — Int. J. Rem. Sens. 9: 729–748.
Kawata, Y., Ohtani, A. and Kusaka, T. 1991. Analytical correction method for atmospheric and topographic effects on rugged terrain image data. — Trans. Soc. Instr. Contr. Engin. 27: 386–393.
Keil, M., Schardt, M., Schurek, A. and Winter, R. 1990. Forest mapping using satellite imagery. — Photogramm. Rem. Sens. 45: 33–46.
Lillesand, T.M. and Kiefer, R.W. 1987. Remote sensing and image interpretation. 2d ed. — J. Wiley and Sons, New York. 721 pp.
Mather, P.M. 1987. Computer processing of remotely-sensed images. — J. Wiley and Sons, New York. 329 pp.
Miura, M. 1992. Studies on the allometry in deciduous broad-leaved forest. Research on the estimated method of resources in deciduous broad-leaved forest. — Bulletin of the Ministry of Education, Research Report 02660155, Tokyo, pp. 47–54.
Nakane, K., Yamamoto, M. and Tsubota, H. 1984. Cycling of soil carbon in a Japanese red pine forest. 1. Before a clear-felling. — Bot. Mag. Tokyo 97: 39–60.
Nelson, R.F, Latty, R.S. and Mott, G. 1984. Classifying northern forest using Thematic Mapper simulation data. — Photogramm. Engin. Rem. Sens. 50: 607–617.
Nelson, R., Krabill, W. and Tonelli, J. 1988. Estimating forest biomass and volume using airborne laser data. — Rem. Sens. Environ. 24: 247–267.
Peterson, D.L., Spanner, M.A., Running, S.W. and Teuber, K.B. 1987. Relationship of Thematic Mapper simulator data to leaf area index of temperate coniferous forests. — Rem. Sens. Environ. 22: 323–341.
Peterson, D.L., Aber, J.D., Matson, P.A., Card, D.H., Swanberg, N., Wessman, C. and Spanner, M.A. 1988. Remote sensing of forest canopy and leaf biochemical contents. — Rem. Sens. Environ. 24: 85–108.
Rock, B.N., Vogelmann, J.E., Williams, D.L., Vogelmann, A.F. and Hoshizaki, T. 1986. Remote detection of forest damage. — Bioscience 36: 439–445.
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. — Rem. Sens. Environ. 28: 143–156.
Sellers, P.J. 1985. Canopy reflectance, photosynthesis and transpiration. — Int. J. Rem. Sens. 6: 1335–1372.
Sellers, P.J. 1987. Canopy reflectance, photosynthesis and transpiration. 2. The role of biophysics in the linearity of their interdependence. — Rem. Sens. Environ. 21: 143–183.
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. — Rem. Sens. Soc. Japan 3: 55–64.
Sjoberg, R.W. and Horn, B.P. 1983. Atmospheric effects in satellite imaging of mountainous terrain. — Appl. Opt. 22: 1702–1716.
Swain, P.H. and Hauska, H. 1977. The decision tree classifier: Design and potential. — Trans. Geosci. Rem. Sens. 15: 142–147.
Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. — Rem. Sens. Environ. 8: 127–150.
Walsh, S.J. 1987. Variability of Landsat MSS spectral responses of forest in relation to stand and site characteristics. — Int. J. Rem. Sens. 8: 1289–1299.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Lee, N.J., Nakane, K. (1997). Forest Vegetation Classification and Biomass Estimation Based on Landsat TM Data in a Mountainous Region of West Japan. In: Shimoda, H., Gholz, H.L., Nakane, K. (eds) The Use of Remote Sensing in the Modeling of Forest Productivity. Forestry Sciences, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5446-8_7
Download citation
DOI: https://doi.org/10.1007/978-94-011-5446-8_7
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6290-9
Online ISBN: 978-94-011-5446-8
eBook Packages: Springer Book Archive