PE&RS May 2004

Cover Image
The cover image, provided by Airborne 1 Corporation, is a lidar DEM of the Kilauea crater in Maui, Hawaii. The DEM was created from data collected by an Optech ALTM 2025 in December 2003 as part of an in-depth deformation study of areas around the Volcano National Park by the University of Hawaii. The project was flown with a spot spacing of 1.0 m and at an altitude above ground level of 1200 m to achieve vertical accuracies of 15 cm at a 90% confidence level. Data were processed using Optech’s REALM software and points were classified in Terrasolid’s TerraScan software. A vertical accuracy of 12 cm at a 95% confidence level was obtained across the whole site using kinematic profiles over open areas of flat or constant slope. Brilliantly compiled by Ali Wright, our resident Scot. For more information on Airborne 1’s products and services, please visit us on the web at www.airborne1.com or call us at (310) 414-7400.

Highlight Article

545 Lidar: Strap in Tight, and Prepare to Go Vertical (Adobe PDF 550Kb)
Todd A. Stennett

Columns & Updates

553 Grids & Datums — Republic of Botswana
555 In Memoriam — Kenneth J. Osborn
559 Industry News

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

573 Potential for Calibrating Airborne Video Imagery Using Preflight Calibration Coefficients
A. Edirisinghe, J.P. Louis, and G.E. Chapman

The problem of in-flight radiometric calibration for an airborne video imaging system in the absence of onboard calibration equipment is addressed, and a mechanism to improve operational calibration efficiency through effective utilization of preflight calibration data is provided.

581 Assessment of Bidirectional Effects over Aquatic Macrophyte Vegetation in CIR Aerial Photographs
Kirsi Valta-Hulkkonen, Petri Pellikka, and Jouni Peltoniemi

It is shown statistically that the relationship between measured upwelling radiation and the sun-target-sensor geometry is weak for an aquatic macropyte species but strong for birch and mixed birch-spruce forest.

589 Seeing the Trees in the Forest: Using Lidar and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height
Sorin C. Popescu and Randolph H. Wynne

The main study objective was to develop robust processing and analysis techniques to facilitate the use of small-footprint lidar data for estimating plot-level tree height by measuring individual trees identifiable on the three-dimensional lidar surface.

605 A Complete High-Resolution Coastline of Antarctica Extracted from Orthorectified Radarsat SAR Imagery
Hongxing Liu and Kenneth C. Jezek

The radar-image-derived coastline gives an accurate description of geometric shape and glaciological characteristics of the Antarctic coasts and also provides a precise benchmark for future change-detection studies.

617 An Integrated Approach for Landslide Susceptibility Mapping Using RemoteSensing and GIS
S. Sarkar and D.P. Kanungo

IRS satellite data, topographic maps, field data, and other informative maps were used as inputs to the study.

627 Thematic Map Comparison: Evaluating the Statistical Significance of Differences in Classification Accuracy
Giles M. Foody

Methods for the statistical comparison of classifications using related and independent samples are discussed.

635 A Raster Image Re-Projection Web Service Prototype
Nadine Alameh

The goal is to identify the complexities of interoperable service design and the feasibility of service chaining in a GIS Web Services architecture.

Announcements
564 ASPRS 2005 Annual Conference— Geospatial Goes Global: From Your Neighborhood to the Whole Planet
569 ASPRS Specialty Conference — Images to Decisions: Remote Sensing Foundations for GIS Applications
625 Call for Papers — PE&RS Special Issue on Mapping Mars

Departments
566 New Member List
567 Region of the Month
568 Who’s Who in ASPRS
569 New Sustaining Member
570 Sustaining Members
572 Advertiser Index
588 Instructions to Authors
626 Forthcoming Articles
634 Calendar
643 Classifieds
644 Bookstore
648 Professional Directory
651 Membership Application

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