1. Stand Structure in Terrestrial Ecosystems
Franklin, 1.F.; Strahler, A.H. Invertible canopy reflectance modeling of vegetation structure in semiarid
woodland. IEEE Trans. Geosci. Remote Sens. 26:809825; 1988.
Gong, P.; Pu, R.; Miller, J.R. Coniferous forest leaf area
index estimation along the Oregon transect using
Compact Airborne Spectrographic Imager Data. Photogram. Eng. Remote Sens. 61:1107-1117; 1995.
Gougeon, F.A. A crown following approach to the automatic delineation of individual tree crowns in high
spatial resolution aerial images. Can. 1. Remote Sens.
21(3):274-284; 1995.
Gotfryd, A; Hansell, R.1. The impact of observer bias on
multivariate analysis of vegetation structure. Oikos
45:223-234; 1985.
Graetz, A.R.D. Remote sensing of ecosystem structure:
An ecologist's pragmatic view. In: Hobbs, E.R.J.;
Mooney, H.A., eds. Remote Sensing and Biosphere
Functioning. New York: Springer-Verlag; 1990:5-30.
Hagberg, 1.0.; Ulander, L.M.H.; Askne, J. Repeat-pass
SAR interferometry over forested terrain. IEEE Trans.
Geosci. Remote Sens. 33:331-340; 1995.
Hall, F.G.; Shimabukuro, Y.; Huemmrich, K.F. Remote
sensing of forest biophysical structure using mixture
decomposition and geometric reflectance models.
Ecol. Applic. 5:993-1013; 1995.
Halle, F.R.; Oldeman, A.A.; Tomlinson, P.B. Tropical
trees and forests. Berlin: Springer-Verlag; 1978.
Hallikainen, M., Hyyppa, 1.; Haapanen, 1.; Taresl, 1. A
helicopter-borne 8 channel ranging scatterometer for
remote sensing. IEEE Trans. Geosci. Remote Sens.
31:161-169; 1993.
Harrell, P.A.; Kasischke, E.S.; Bourgeau-Chavez, L.L.;
Haney, E.M.; et al. Evaluation of approaches to estimating aboveground biomass in southern pine forests
using SIR-C data. Remote Sens. Environ. 59(2):223233; 1997.
Heilman, P.E.; Hinckley, T.M.; Roberts, D.A.; Ceulemans, R. Production physiology. In: Stettler R.F.;
Bradshaw, H.W.; Heilman, P.E.; Hinckley, T.M., eds.
Biology of Populus and Its Implications for Management and Conservation. Washington, D.C.: NRC Research Press; 1996:459-490.
Heller, R.C.; Ulliman, J.J. Forest resources assessments.
In: Colwell, R.N., ed. Manual of Remote Sensing.
Falls Church, VA: American Society of Photogrammetry and Remote Sensing; 1983; Ch. 34.
Henderson, F.M.; Lewis, A.J., eds. Principles and Applications of Imaging Radar. Manual of Remote Sensing, 3rd ed. Vol. 2 New York: Wiley; 1998.
Hess, L.L.; Melack, 1.M.; Simonett, D.S. Radar detection
of flooding beneath the forest canopy: A review. Int.
1. Remote Sens. 11:1313-1325; 1990.
Honda, H.; Tomlinson, P.B.; Fisher, J.B. Computer simulation of branch interaction and regulation by unequal
27
flow rates in botanical trees. Am. 1. Bot. 68:569-585;
1981.
Hom, H.S. The Adaptive Geometry of Trees. Princeton,
NJ: Princeton Univ. Pr.; 1971.
Howard, 1.A. Remote Sensing of Forest Resources: Theory and Application. London: Chapman and Hall;
1991.
Husch, B.; Miller, c.1.; Beers, T.W. Forest Mensuration.
3rd ed. New York: Wiley; 1982.
Hutchings, N.J.; Phillips, A.H.; Dobson, R.c. An ultrasonic rangefinder for measuring the undisturbed surface height of continuously grazed grass swards. Grass
Forage Sci. 45:119-128; 1990.
Hyyppa, 1.; Hallikainen, M. Applicability of airborne
profiling radar to forest inventory. Remote Sens. Environ. 57:39-57; 1996.
Imhoff, M.L. A theoretical analysis of the effect of forest
structure on synthetic aperture radar backscatter and
the remote sensing of biomass, IEEE Trans. Geosci.
Remote Sens. 33:341-352; 1995.
Ivanov, N.; Boissard, P.; Chapron, M.; Valery, P. Estimation of the height and angles of orientation of the
upper leaves in the maize canopy using stereovision.
Agronomie 14:183-1194; 1994.
Justice, C.O.; Vermote, E.; Townshend, J.R.G.; Defries,
R.; et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global
change research. IEEE Trans. Geosci. Remote Sens.
36:1228-1249; 1998.
Kasischke, E.S.; Melack, 1.M.; Dobson, M.C. The use of
imaging radars for ecological applications: A review.
Remote Sens. Environ. 59:141-156; 1997.
Kauth, R.J.; Thomas, G.S. The tasselled cap: A graphic
description of the spectral-temporal development of
agricultural crops as seen by LANDSAT. In: Proceedings of the Third Symposium on Machine Processing
of Remotely Sensed Data. West Lafayette, IN: LARS,
Purdue Univ.; 1976:4B-41-4B-51.
King, D. Airborne multispectral digital camera and video
sensors: A critical review of system design and applications, Can. J. Remote Sens. 21:245-256; 1995.
Koike F. Reconstruction of two-dimensional tree and forest canopy profiles using photographs. J. Appl. Ecol.
22:921-929; 1985.
Koike, F.; Syahbuddin. Canopy structure of a tropical
rain forest and the nature of an unstratified layer.
Funct. Ecol. 7:230-235; 1993.
Kruijt, B. Estimating canopy structure of an oak forest at
several scales. Forestry 62:269-284; 1989.
Kuuluvainen, T.; Pukkala, T. Simulation of within-tree
and between-tree shading of direct radiation in a forest
canopy: Effect of crown shape and sun elevation. Ecol.
Model. 49:89-100; 1989.
Lang, A.R.G. An instrument for measuring canopy. Remote Sens. Rev. 5:61-71; 1990.
Franklin, 1.F.; Strahler, A.H. Invertible canopy reflectance modeling of vegetation structure in semiarid
woodland. IEEE Trans. Geosci. Remote Sens. 26:809825; 1988.
Gong, P.; Pu, R.; Miller, J.R. Coniferous forest leaf area
index estimation along the Oregon transect using
Compact Airborne Spectrographic Imager Data. Photogram. Eng. Remote Sens. 61:1107-1117; 1995.
Gougeon, F.A. A crown following approach to the automatic delineation of individual tree crowns in high
spatial resolution aerial images. Can. 1. Remote Sens.
21(3):274-284; 1995.
Gotfryd, A; Hansell, R.1. The impact of observer bias on
multivariate analysis of vegetation structure. Oikos
45:223-234; 1985.
Graetz, A.R.D. Remote sensing of ecosystem structure:
An ecologist's pragmatic view. In: Hobbs, E.R.J.;
Mooney, H.A., eds. Remote Sensing and Biosphere
Functioning. New York: Springer-Verlag; 1990:5-30.
Hagberg, 1.0.; Ulander, L.M.H.; Askne, J. Repeat-pass
SAR interferometry over forested terrain. IEEE Trans.
Geosci. Remote Sens. 33:331-340; 1995.
Hall, F.G.; Shimabukuro, Y.; Huemmrich, K.F. Remote
sensing of forest biophysical structure using mixture
decomposition and geometric reflectance models.
Ecol. Applic. 5:993-1013; 1995.
Halle, F.R.; Oldeman, A.A.; Tomlinson, P.B. Tropical
trees and forests. Berlin: Springer-Verlag; 1978.
Hallikainen, M., Hyyppa, 1.; Haapanen, 1.; Taresl, 1. A
helicopter-borne 8 channel ranging scatterometer for
remote sensing. IEEE Trans. Geosci. Remote Sens.
31:161-169; 1993.
Harrell, P.A.; Kasischke, E.S.; Bourgeau-Chavez, L.L.;
Haney, E.M.; et al. Evaluation of approaches to estimating aboveground biomass in southern pine forests
using SIR-C data. Remote Sens. Environ. 59(2):223233; 1997.
Heilman, P.E.; Hinckley, T.M.; Roberts, D.A.; Ceulemans, R. Production physiology. In: Stettler R.F.;
Bradshaw, H.W.; Heilman, P.E.; Hinckley, T.M., eds.
Biology of Populus and Its Implications for Management and Conservation. Washington, D.C.: NRC Research Press; 1996:459-490.
Heller, R.C.; Ulliman, J.J. Forest resources assessments.
In: Colwell, R.N., ed. Manual of Remote Sensing.
Falls Church, VA: American Society of Photogrammetry and Remote Sensing; 1983; Ch. 34.
Henderson, F.M.; Lewis, A.J., eds. Principles and Applications of Imaging Radar. Manual of Remote Sensing, 3rd ed. Vol. 2 New York: Wiley; 1998.
Hess, L.L.; Melack, 1.M.; Simonett, D.S. Radar detection
of flooding beneath the forest canopy: A review. Int.
1. Remote Sens. 11:1313-1325; 1990.
Honda, H.; Tomlinson, P.B.; Fisher, J.B. Computer simulation of branch interaction and regulation by unequal
27
flow rates in botanical trees. Am. 1. Bot. 68:569-585;
1981.
Hom, H.S. The Adaptive Geometry of Trees. Princeton,
NJ: Princeton Univ. Pr.; 1971.
Howard, 1.A. Remote Sensing of Forest Resources: Theory and Application. London: Chapman and Hall;
1991.
Husch, B.; Miller, c.1.; Beers, T.W. Forest Mensuration.
3rd ed. New York: Wiley; 1982.
Hutchings, N.J.; Phillips, A.H.; Dobson, R.c. An ultrasonic rangefinder for measuring the undisturbed surface height of continuously grazed grass swards. Grass
Forage Sci. 45:119-128; 1990.
Hyyppa, 1.; Hallikainen, M. Applicability of airborne
profiling radar to forest inventory. Remote Sens. Environ. 57:39-57; 1996.
Imhoff, M.L. A theoretical analysis of the effect of forest
structure on synthetic aperture radar backscatter and
the remote sensing of biomass, IEEE Trans. Geosci.
Remote Sens. 33:341-352; 1995.
Ivanov, N.; Boissard, P.; Chapron, M.; Valery, P. Estimation of the height and angles of orientation of the
upper leaves in the maize canopy using stereovision.
Agronomie 14:183-1194; 1994.
Justice, C.O.; Vermote, E.; Townshend, J.R.G.; Defries,
R.; et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): Land remote sensing for global
change research. IEEE Trans. Geosci. Remote Sens.
36:1228-1249; 1998.
Kasischke, E.S.; Melack, 1.M.; Dobson, M.C. The use of
imaging radars for ecological applications: A review.
Remote Sens. Environ. 59:141-156; 1997.
Kauth, R.J.; Thomas, G.S. The tasselled cap: A graphic
description of the spectral-temporal development of
agricultural crops as seen by LANDSAT. In: Proceedings of the Third Symposium on Machine Processing
of Remotely Sensed Data. West Lafayette, IN: LARS,
Purdue Univ.; 1976:4B-41-4B-51.
King, D. Airborne multispectral digital camera and video
sensors: A critical review of system design and applications, Can. J. Remote Sens. 21:245-256; 1995.
Koike F. Reconstruction of two-dimensional tree and forest canopy profiles using photographs. J. Appl. Ecol.
22:921-929; 1985.
Koike, F.; Syahbuddin. Canopy structure of a tropical
rain forest and the nature of an unstratified layer.
Funct. Ecol. 7:230-235; 1993.
Kruijt, B. Estimating canopy structure of an oak forest at
several scales. Forestry 62:269-284; 1989.
Kuuluvainen, T.; Pukkala, T. Simulation of within-tree
and between-tree shading of direct radiation in a forest
canopy: Effect of crown shape and sun elevation. Ecol.
Model. 49:89-100; 1989.
Lang, A.R.G. An instrument for measuring canopy. Remote Sens. Rev. 5:61-71; 1990.