PE&RS January 1999

Cover Image

The cover photo shows Berdeen Lake (elevation 1500 meters). Berdeen Lake is located in the North Cascades National Park in Washington State. In an ongoing effort to reduce costs and redundancy, Washington DNR has established a cooperative approach to aerial photography acquisition with the National Park Service.

The image was shot on AGFA H100 Natural Color Negative film, processed in AGFA AP-70 chemistry. Scale: 1:12000. Altitude: 4880 meters asl. Camera: Wild RC-10, 305mm Focal Length. Project: NC-C-98. Flown by WAC Corp. for the Washington Department of Natural Resources.

WAC Corp., based in Eugene, Oregon (Photo Sales 800-845-8088), has been a full service aerial flying and photo lab since 1955. Housing the largest private collection of in-stock photography of Oregon, Washington, and California, WAC Corp. provides a valuable resource for all aerial photography users.

For information on AGFA H100 color film contact AGFA @ 1-800-540-2432 ext. 4686.

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

40 Introduction to this Special Issue on Geostatistics and Scaling of Remote Sensing and Spatial Data
Dale A. Quattrochi and Peter M. Atkinson

41 Geostatistical Estimation of Resolution-Dependent Variance in Remotely Sensed Images
John B. Collins and Curtis E. Woodcock

The algorithm can be used to evaluate the utility of different sensors for particular applications, when the relationship between spatial resolution and image imformation content is important.

51 Multi-Scale Fractal Analysis of Image Texture and Patterns
Charles W. Emerson, Nina Siu-Ngan Lam, and Dale A. Quattrochi

ICAMS, the Image Characterization and Modeling System, is used to examine how fractal dimensions of images with homogeneous land covers and multi-date images change with scale.

63 Fractal Characterization of Hyperspectral Imagery
Hong-lie Qiu, Nina Siu-Ngan Lam, Dale A. Quattrochi, and John A. Gamon

Fractal analysis using the Image Characterization and Modeling System (ICAMS) has been employed to examine the variability in spatial complexity for hyperspectral AVIRIS data collected over the Los Angeles metropolitan area.

73 Comparing Effects of Aggregation Methods on Statistical and Spatial Properties of Simulated Spatial Data
Ling Bian and Rachael Butler

The interaction between spatial autocorrelation and three aggregation methods — averaging, central-pixel resampling, and median — reveals significant differences in statistical, spatial, and error characteristics for simulated images through a series of aggregation levels.

85 A Cartographic Modeling Approach for Surface Orientation-Related Applications
Michael E. Hodgson and Gary L. Gaile

Representation of directional observations, such as surface orientation or solar rays, in a unit vector matrix form allows for their implementation using linear algebra in cartographic modeling constructs.

97 Scale-Dependent Relationships between Population and Environment in Northeastern Thailand
Stephen J. Walsh, Tom. P. Evans, William F. Welsh, Barbara Entwisle, and Ronald R. Rindfuss

Statistical analysis employed multiple regression to estimate population density in relation to social and biophysical variables, and canonical analysis to relate population variables to environmental variables across a range of spatial scales extending from 30 to 1050 m.

Announcements
61 ASPRS Certification Seals & Stamps
96 1999 ASPRS Annual Conference

Columns & Updates
7 Photogrammetry
11 Remote Sensing
33 Industry News

Departments
34 New Members
36 Who’s Who in ASPRS
37 Index to Advertisers
38 Sustaining Members
62 Instructions to Authors
72 Forthcoming Articles
106 Classifieds
108 Calendar
109 Professional Directory
113 Membership Application

Special Insert
17 1999 ASPRS Publications Catalog