PE&RS August 1998

Cover Image

This shaded terrain model (shown here with a digital ortho image) was surveyed and processed by Optech Incorporated of Toronto, Ontario for Hauts-Monts, Beauport, Quebec. Using Optech's Airborne Laser Terrain Mapper (ALTM), this 925 m x 765 m area was surveyed in under 30 seconds with a data capture rate of 5,000 elevation points/second.

Shown in this picture is Quebec City's downtown area (top) and the Citadel (bottom right). Surveyed in October 1997, using Hauts-Monts' Cessna 414, this data has a 15-cm elevation accuracy and represents 136,877 points. The data are displayed here on a 2.9-m grid.  Hauts-Monts produced the digital ortho image from a 1:5,000-scale photo taken with a Leica RC-20 camera.  Image generated using Vertical Mapper from Northwood Geoscience, Nepean, Ontario. For additional information, please call Optech at 416-661-5904.

Peer-Reviewed Articles (Click the linked titles to see the full abstract)

797 Window Size for Image Classification? A Cognitive Perspective
Michael E. Hodgson

Classification accuracy from visual analysis increased in a monotonic form with increasing window size for the urban land-use classes investigated. 

809 Teaching the Physical Principles of Vegetation Canopy Reflectance Using the SAIL Model
F.M. Danson

A student-friendly implementation of a radiative transfer model of vegetation canopy reflectance is used as a resource for teaching the physical principles of remote sensing. 

813 Investigation of the Integration of AVIRIS and IFSAR for Urban Analysis
George F. Hepner, Bijan Houshmand, Igor Kulikov, and Nevin Bryant

Recent advances in the use of interferometric radar allow the definition of high resolution, three-dimensional geometry of surface features, topography, and impervious surfaces in urban areas. 

821 North American Landscape Characterization Dataset Development and Data Fusion Issues
Ross S. Lunetta, John G. Lyon, Bert Guindon, and Christopher D. Elvidge

A data fusion approach using a post-classification technique is presented as a cost-effective method for delineating land cover at appropriate thematic and spatial resolutions to support a quantitative inventory of forest carbon stocks. 

831 Map-Guided Classification of Regional Land Cover with Multi-Temporal AVHRR Data
David M. Stoms, Michael J. Bueno, Frank W. Davis, Kelly M. Cassidy, Kenneth L. Driese, and James S. Kagan

A “map-guided” classification approach was developed to use the information in existing subregional land-cover maps of varying detail to produce a seamless, regional map with consistent spatial and thematic properties.

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773 ASPRS: New Phone Extensions
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