Peer Reviewed Articles
161-167 GIS Modeling of Elk Calving Habitat in a Prairie
Environment with Statistics
Ling Bian and Eric West
Abstract
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In 1981, elk were first introduced to the prairie environment of the Cimarron
National Grassland in Kansas. The lack of information regarding critical
elk habitat in the prairie and the demand for integrated land use necessitated
elk habitat studies in the grassland. A logistic regression model was developed
to assess the relationship between observed calving sites and a set of biophysical
and anthropogenic habitat variables. A GIS was used to solicit spatial information
and implement the logistic model to predict the spatial distribution of calving
probabilities in the grassland. Seep pits, the man-made water supply facilities
along the river corridor, and cottonwood and salt cedar in the riparian areas
were found statistically significant in explaining elk calving habitat; in
contrast, highways and improved gravel roads appear to affect calving habitat
in a negative fashion. The results also suggested possible adaptation of
elk to human disturbance.
171-178 Predicting Soil Drainage Class Using Remotely
Sensed and Digital Elevation Data
A.T. Cialella, R. Dubayah, W. Lawrence, and E. Levine
Abstract
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Presents a technique to use a remotely sensed optical image and digital elevation
data to predict soil drainage class at a 6- by 4 km research site in a mixed
conifer forest in Howland, Maine. Elevation, detrended elevation, aspect,
and flow accumulation were determined from a 10 m resolution digital elevation
model (DEM) of the site. Normalized Difference Vegetation Index (NDVI) data
derived from the Advanced Visible and Infrared Imaging Spectrometer (AVIRIS)
were used to represent differences in vegetation cover. Classification tree
analysis predicted soil drainage class with an average of 78% accuracy.
179-181 Integrating Eucalypt Forest Inventory and
GIS in Western Australia
R.D. Spencer, M.A. Green, and P.H. Biggs
Abstract
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A method for integrating forest inventory data with geographic information
systems to provide flexible and responsive information for forest management
is described. The method has been applied successfully to a recent resource-level
inventory of jarrah (Eucalyptus marginata) in Western Australia.
183-191 Landform Characterization with Geographic
Information Systems
Jacek S. Blaszczynski
Abstract
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Because of the complexity of taxonomic schema for landforms which include their
provenance, composition, and function, features are difficult to map and
quantify using automated methods. The author suggests geographic information
systems (GIS) based methods for mapping and classification of the landscape
surface into what can be understood as fourth-order- of-relief features and
include convex areas and their crests, concave areas and their troughs, open
concavities and enclosed basins, and horizontal and sloping flats. The features
can then be analyzed statistically, aggregated into higher-order- of-relief
forms, and correlated with other aspects of the environment to aid fuller
classification of landforms.
193-203 Qualitative Aspects of Chromo-Stereoscopy
for Depth Perception
Thierry Toutin
Abstract
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The display of three-dimensional (3D) quantitative data sets is a basic topic
of research in cartography, image processing, and applications related to
spatial information. A new application for data visualization and analysis,
which combines color vision and depth perception, has been devleoped using
the efect known as chromo-stereoscopy based on Einthoven's theory. It enables
the generation of flat color composite images from multisource data in which
depth information is coded into colors. When viewed with double prism refraction
ChromaDepth glasses, a 'dramatic' 3D effect is produced. Following a description
of the method, the geometric and radiometric processing parameters are qualitatively
analyzed to assess their impact on the quality of the chromo- stereoscopic
images and depth perception.