The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
spectral mixture analysis and fractional abundances.
International Journal of Applied Earth Observation and
Geoinformation, Vol. 7, pp. 11-28.
Haertel, V.F. and Shimabukuro, Y.E. 2005. Spectral linear
mixing model in low spatial resolution image data. IEEE
Transactions on Geoscience and Remote Sensing, Vol. 43, pp.
2555-2562.
Hall, F.G., Shimabukuro, Y.E. and Huemmrich, K.F. 1995.
Remote sensing of forest biophysical structure using mixture
decomposition and geometric reflectance models. Ecological
Applications, Vol. 5, pp. 993-1013.
Hengl, T., Heuvelink, G.B.M. and Rossiter, D.G. 2007. About
regression-kriging: From equations to case studies. Computers
and Geosciences, Vol. 33, pp. 1301-1315.
Huang, Z., Wu, B. and Ao, L. 2006. Environment Issues,
Activities and Monitoring Network for the Three Gorges
Project (in Chinese). Science Press Longmen Books, Beijing,
363 pp.
Isaacs, E.H. and Srivastava, R.M. 1989. An introduction to
applied geostatistics. Oxford University Press, New York, 561
pp.
Kitanidis, P.K. 1993. Generalized covariance functions in
estimation. Mathematical Geology, Vol. 25, pp. 525-540.
Li, X. and Strahler, A.H. 1985. Geometric-optical modeling of a
conifer forest canopy. IEEE Transactions on Geoscience and
Remote Sensing, Vol. 23, pp. 705-721.
Li, X. and Strahler, A.H. 1992. Geometric-optical bidirectional
reflectance modeling of the discrete crown vegetation canopy:
Effect of crown shape and mutual shadowing. IEEE
Transactions on Geoscience and Remote Sensing, Vol. 30, pp.
276-292.
Li, X. and Wang, J. 1995. Vegetation optical remote sensing
models and vegetation structure parameterization (in Chinese).
Science Press, Beijing, 118 pp.
McKnight, T.L. and Hess, D. 2000. Climate zones and types:
Dry humid subtropical climate (Cfa, Cwa). Physical Geography:
A Landscape Appreciation. Prentice Hall, New York, 223-6 pp.
Pebesma, E.J. 1997. Gstat User's Manual. Utrecht University.
(http://www.gstat.org).
Pebesma, E.J. and Wesseling, C.G. 1998. Gstat: A program for
geostatistical modelling, prediction and simulation. Computers
and Geosciences, Vol. 24, pp. 17-31.
Peddle, D.R., Franklin, S.E., Johnson, R.L., Lavigne, M.B. and
Wulder, M.A. 2003. Structural change detection in a disturbed
conifer forest using a geometric optical reflectance model in
multiple-forward mode. IEEE Transactions on Geoscience and
Remote Sensing, Vol. 41, pp. 163-166.
Peddle, D.R., Hall, F.G. and LeDrew, E.F. 1999. Spectral
mixture analysis and geometric-optical reflectance modeling of
boreal rorest biophysical structure. Remote Sensing of
Environment, Vol. 67, pp. 288-297.
Scarth, P. and Phinn, S. 2000. Determining forest structural
attributes using an inverted geometric-optical model in mixed
eucalypt forests, Southeast Queensland, Australia. Remote
Sensing of Environment, Vol. 71, pp. 141-157.
Scarth, P., Phinn, S. and McAlpine, C. 2001. Integrating high
and moderate spatial resolution image data to estimate forest
age structure. Canadian Journal of Remote Sensing, Vol. 27, pp.
129-142.
Schaaf, C.B., Li, X.W. and Strahler, A.H. 1994. Topographic
effects on bidirectional and hemispherical reflectances
calculated with a geometric-optical canopy model. IEEE
Transactions on Geoscience and Remote Sensing, Vol. 32, pp.
1186-1193.
Schaepman, M.E., Kotz, B., Schaepman-Strub, G. and Itten, K.I.
2005. Spectrodirectional remote sensing for the improved
estimation of biophysical and -chemical variables: Two case
studies. International Journal of Applied Earth Observation
and Geoinformation, Vol. 6, pp. 271-282.
Schlerf, M. and Atzberger, C. 2006. Inversion of a forest
reflectance model to estimate structural canopy variables from
hyperspectral remote sensing data. Remote Sensing of
Environment, Vol. 100, pp. 281-294.
Strahler, A.H. and Jupp, D.L.B. 1990. Modeling bidirectional
reflectance of forests and woodlands using Boolean models and
geometric optics. Remote Sensing of Environment, Vol. 34, pp.
153-166.
Ustin, S.L. 2004. Remote sensing for natural resource
management and environmental monitoring. Wiley, New York,
736 pp.
Woodcock, C.E. 1994. Estimation of forest stand structure from
Landsat TM through inversion of the Li-Strahler model. IEEE
International Geoscience and Remote Sensing Symposium
(IGARSS), Vol. 2, pp. 1245-1247.
Woodcock, C.E., Collins, J.B., Gopal, S., Jakabhazy, V.D., Li,
X., Macomber, S., Ryherd, S., Judson Harward, V., Levitan, J.,
Wu, Y. and Warbington, R. 1994. Mapping forest vegetation
using Landsat TM imagery and a canopy reflectance model.
Remote Sensing of Environment, Vol. 50, pp. 240-254.
Woodcock, C.E., Collins, J.B., Jakabhazy, V.D., Li, X.,
Macomber, S.A. and Wu, Y. 1997. Inversion of the Li-Strahler
canopy reflectance model for mapping forest structure. IEEE
Transactions on Geoscience and Remote Sensing, Vol. 35, pp.
405-414.
Zeng, Y., Schaepman, M.E., Wu, B., Clevers, J.G.P.W. and
Bregt, A.K. 2007. Forest structural variables retrieval using EO-
1 Hyperion data in combination with linear spectral unmixing
and an inverted geometric-optical model. Journal of Remote
Sensing (China), Vol. 11, pp. 648-658.
Zeng, Y., Schaepman, M.E., Wu, B., Clevers, J.G.P.W. and
Bregt, A.K. 2008. Quantitative forest canopy structure
assessment using an inverted geometric-optical model and up-
scaling. International Journal of Remote Sensing, in press.
Zhang, L., Dong, L., Wu, B. and Zhou, W. 2007. Land cover
change before and after the construction of Three Gorges
Reservoir within 10 years (in Chinese). Resources and
Environment in the Yangtze Basin, Vol. 16, pp. 107-112.