PE&RS November 1997

VOLUME 63, NUMBER 11
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

PE&RS November 1997Cover Image

Digital color infrared orthophotography of Block Island, Rhode Island, as well as collateral data of soil and terrain information, were used to model vegetation distributions on the island (see paper by Duhaime et al., pp. 1295-1302). The photography was recorded on Kodak 2443 Aerochrome film at a scale of 1:40,000 from an altitude of approximately 6.1 km. Two overlapping stereo photos were scanned at a density of 315 lines/centimeter, and the digital representation was processed to create a seamless orthophotograph of the island. Aerial photography and creation of the digital orthophotography was performed by Photo Science, Inc. of Gaithersburg, Maryland.

 


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

1275 Two-Dimensional Template-Based Encoding for Linear Quadtree Representation
Henry Ker-Chang Chang, Shing-Hua Liu, and Cheng-Kuan Tso

The 2DTE technique combines the concept of template mapping and the Morton sequence to encode regional data on an image. 

1285 An Evaluation of the Potential for Fuzzy Classification of Multispectral Data Using Artificial Neural Networks
Timothy A. Warner and Michael Shank

How the separation between class means, the covariance matrix of each class, and the relative location of the class means limit the fuzzy representation of mixtures is evaluated. 

1295 Automated Vegetation Mapping Using Digital Orthophotography
Roland J. Duhaime, Peter V. August, and William R. Wright

Color infrared orthophotography and other collateral data are used to model the distribution of vegetation communities on Block Island, Rhode Island.

1303 A Comparison of Nighttime Satellite Imagery and Population Density for the Continental United States
Paul Sutton, Dar Roberts, Chris Elvidge, and Henk Meij

The imagery showed strong correlations at aggregate scales, and analysis of the saturated areas of the images showed strong correlations between the areas of saturated clusters and the populations those areas covered.