@article {829,
	title = {Inclusion of a simple multiple scattering model into a microwave canopy backscatter model},
	journal = {Remote Sensing of Environment},
	volume = {63},
	year = {1998},
	note = {JOURNAL ARTICLE; RESEARCH ARTICLE},
	month = {1998},
	pages = {101-111},
	abstract = {A simple multiple scattering model has been incorporated into a microwave canopy backscatter model for forest stands with continuous or discontinuous tree canopies. The multiple scattering model was empirically derived using available calculated multiple scattering values and Monte Carlo simulation. All orders of scattering within canopies beyond single scattering were assumed to be isotropic. Multiple scattering was divided evenly among HH, HV, VH, and VV polarizations. The corresponding single scattering term was polarization-sensitive. The effect of the multiple scattering term on modeled canopy backscatter was less at long wavelengths than at short wavelengths. At a given wavelength, the multiple scattering term affected copolarized scattering less than cross-polarized scattering. These predictions were consistent with calibrated SAR observations and with our understanding of microwave scattering in forested environment. Including multiple scattering effects improved the agreement between modeled and measured canopy backscatter particularly for cross-polarized backscatter at short wavelengths.},
	keywords = {(Aerospace and Underwater Biological Effects--General, (Biophysics--Biocybernetics (1972- )), (Ecology, (Mathematical Biology and Statistical Methods), (Radiation--Radiation and Isotope Techniques), Environmental Biology--Plant), Forest Stand, Methods), Microwave Canopy Backscatter Model, Models and Simulations, remote sensing, Research Article, Simple Multiple Scattering Model},
	author = {Wang, Y. and Paris, J. F. and Davis, F. W.}
}
@article {774,
	title = {Map-guided classification of regional land-cover with multi-temporal AVHRR data},
	journal = {Photogrammetric Engineering and Remote Sensing},
	volume = {64},
	year = {1998},
	month = {1998},
	pages = {831-838},
	abstract = {Cartographers often need to use information in existing land-cover maps when compiling regional or global maps, but there are no standardized techniques for using such data effectively. An iterative, map-guided classification approach was developed to compile a spatially and thematically consistent, seamless land-cover map of the entire Intermountain Semi-Desert ecoregion from a set of semi-independent subregional maps derived by various methods. A multi-temporal dataset derived from AVHRR data was classified using the subregional maps as training data. The resulting regional map attempted to meet the guidelines of the proposed National Vegetation Classification Standards for classification at the alliance level. The approach generally improved the spatial properties of the regional mapping, while maintaining the thematic detail of the source maps. The methods described may be useful in many situations where mapped information exists but is incomplete, compiled by different methods, or is based on inconsistent classification systems.},
	keywords = {accuracy assessment, AVHRR, gap analysis, Intermountain Semidesert ecoregion, map-guided classification, National Vegetation Classification Standards, NVCS, remote sensing},
	url = {<Go to ISI>://000075109200012},
	author = {Stoms, D. M. and Bueno, M. J. and Davis, F. W. and Cassidy, K. M. and Driese, K. L. and Kagan, J. S.}
}
@article {376,
	title = {Modeling vegetation pattern using digital terrain data},
	journal = {Landscape Ecology},
	volume = {4},
	year = {1990},
	pages = {69-80},
	keywords = {California, coast live oak forest, DEM, geology, GIS, Lompoc, remote sensing, solar radiation},
	author = {Davis, F. W. and Goetz, S.}
}
