Estimation of subpixel vegetation density of natural regions using satellite multispectral imagery

A procedure is presented for estimating the subpixel fractional canopy density of natural or undisturbed semivegetated regions on a pixel-by-pixel basis using one satellite multispectral image and a physical modeling approach. The method involves applying a model of the bulk, nondimensional plant geometry combined with a simple model of canopy reflectance and transmittance to the red and near-infrared reflectance space of the atmospherically corrected satellite image. Shadow effects are parameterized assuming Poisson-distributed and geometrically similar plant canopies. The method is applied to the estimation of fractional cover and leaf area index, using Landsat thematic mapper imagery, of two physiologically different plant communities. The first is the Landes Forest, a coniferous region in south central France, during the June 1986 HAPEX-Mobilhy Experiment. The second is the semiarid Walnut Gulch basin of southeast Arizona that contains predominantly shrubs and grasses, during the June 1990 MONSOON Experiment. The procedure offers a physically based alternative to empirical vegetation indices for estimating regionally variable canopy densities of natural, homogeneous systems with little or no ground truth.

[1]  A. Huete A soil-adjusted vegetation index (SAVI) , 1988 .

[2]  Wout Verhoef,et al.  A new forest light interaction model in support of forest monitoring , 1992 .

[3]  C. R. Lloyd,et al.  Micrometeorological measurements in Les Landes forest during HAPEX-MOBILHY , 1989 .

[4]  D. M. Gates,et al.  Spectral Properties of Plants , 1965 .

[5]  P. S. Eagleson,et al.  The structure of red-infrared scattergrams of semivegetated landscapes , 1989 .

[6]  Michael F. Jasinski,et al.  Functional relation among subpixel canopy cover, ground shadow, and illuminated ground at large sampling scales , 1990, Defense, Security, and Sensing.

[7]  C. Tucker,et al.  Satellite remote sensing of total dry matter production in the Senegalese Sahel , 1983 .

[8]  P. S. Eagleson,et al.  Estimation of subpixel vegetation cover using red-infrared scattergrams , 1990 .

[9]  Marc B. Parlange,et al.  Neutral humidity profiles in the boundary layer and regional evaporation from sparse pine forest , 1989 .

[10]  R. Myneni,et al.  Estimation of plant-canopy attributes from spectral reflectance measurements , 1989 .

[11]  R. Myneni,et al.  A review on the theory of photon transport in leaf canopies , 1989 .

[12]  Jerry C. Ritchie,et al.  Comparison of laser and field measurements of vegetation height and canopy cover , 1994 .

[13]  William P. Kustas,et al.  Preface [to special section on Monsoon '90 Multidisciplinary Experiment] , 1994 .

[14]  Michael F. Jasinski,et al.  Sensitivity of the normalized difference vegetation index to subpixel canopy cover, soil albedo, and pixel scale , 1990 .

[15]  Brian L. Markham,et al.  Surface reflectance retrieval from satellite and aircraft sensors: Results of sensor and algorithm comparisons during FIFE , 1992 .

[16]  G. Asrar,et al.  Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .

[17]  R. Jackson,et al.  Spectral response of a plant canopy with different soil backgrounds , 1985 .

[18]  Hui Qing Liu,et al.  An error and sensitivity analysis of the atmospheric- and soil-correcting variants of the NDVI for the MODIS-EOS , 1994, IEEE Trans. Geosci. Remote. Sens..

[19]  T. Carlson,et al.  A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover , 1994 .

[20]  C. Elvidge Visible and near infrared reflectance characteristics of dry plant materials , 1990 .

[21]  A. Strahler,et al.  Geometric-Optical Modeling of a Conifer Forest Canopy , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[22]  J. Noilhan,et al.  Some aspects of the HAPEX-MOBILHY programme: The data base and the modelling strategy , 1991 .

[23]  C. Perry,et al.  Functional equivalence of spectral vegetation indices , 1984 .

[24]  Alan H. Strahler,et al.  Invertible canopy reflectance modeling of vegetation structure in semiarid woodland , 1988 .

[25]  H. Olsson Changes in satellite-measured reflectances caused by thinning cuttings in Boreal forest , 1994 .