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Current PE&RS Cover

PE&RS May 2007

This month’s cover image depicts a Distributed Production Management System (DPMS)
based on GeoCue Corporation’s core project management system and GeoCue Web Server. This new system, developed in cooperation with URS Corporation’s Geospatial Technologies Team of Gaithersburg, Maryland. The backdrop graphic depicts a simulated Master Project view over the Tampa Bay area of Florida. The tiles represent project components such as LIDAR or Orthophoto work units. The fill color, corresponding to the checklist depicted in the lower left of the cover, depict the status of various project tiles being worked by a number of geographically dispersed contractors. Superimposed over the Master Project is an Internet Explorer view through the Master Project Web Portal of the project, allowing project status viewing from any location in the world with a simple web browser. For additional information contact Bob Ryan (bob.ryan@urscorp.com) of URS Corporation or Lewis Graham (lgraham@geocue.com) of GeoCue Corporation. The backdrop NaturalVue™ images were provided courtesy of MDA Federal (formerly EarthSat) of Rockville, Maryland (contact Jon Dykstra, jon.dykstra@mdafederal.com).

Highlight Article

487 Distributed Production Management System (Adobe PDF 227Kb)
Lewis Graham and Bob Ryan

Columns & Updates
493 Grids and Datums — Republic of Cameroon (Adobe PDF 121Kb)
497 Mapping Matters
500 Book Review — Mastering ArcGIS, 2nd Edition (Adobe PDF 113Kb)
501 Photogrammetry & Mapping Sciences Exam (Adobe PDF 92Kb)
504 A Look Back— Albrecht Meydenbaur (Adobe PDF 182Kb)
507 Industry News
511 Headquarters News

Announcements
511 New Sustaining Member — Wilson & Associates, Inc.
562 Peer Reviewers (Adobe PDF 74Kb)
576 Object-based Image Analysis Symposium
584 Call for Papers — Spatial Change Analysis

Departments
499 New Member List
509 Region of the Month
496 Certification List
512 Who’s Who in ASPRS
513 Sustaining Members
515 Instructions to Authors
536 Forthcoming Articles
554 Calendar
576 ASPRS Member Champions (Adobe PDF 69Kb)
584 Classifieds
594 Professional Directory
595 Advertiser Index
596 Membership Application

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

517 Detection and Vectorization of Roads from Lidar Data
Simon Clode, Franz Rottensteiner, Peter Kootsookos, and Emanuel Zelniker

An automatic detection and vectorization method for roads from lidar data that extracts roads from a lidar point cloud using a hierarchical classification method.

537 A Survey on the Need for Airborne Lidar Training
Chris Hopkinson, Sorin Popescu, Martin Flood, and Robert Maher

An evaluation of the training needs of the service providers and the end user lidar community are presented and evaluated.

547 A Filtering Strategy for Interest Point Detecting to Improve Repeatability and Information Content
Qing Zhu, Bo Wu, and Neng Wan

Making use of a filtering strategy reduces the number on interest points with poor repreatability and information content.

555 Comparison of Lithologic Mapping with ASTER, Hyperion, and ETM Data in the Southeastern Chocolate Mountains, USA
Xianfeng Zhang and Micha Pazner

An empirical comparison of three sensor data sets to examine the relative utility for gold-associated lithologic mapping.

563 Use of Landsat ETM and Topographic Data to Characterize Evergreen Understory Communities in Appalachian Deciduous Forests
Robert A. Chastain, Jr. and Philip A. Townsend

Classification of understory communities dominated by rosebay rhododendron and mountain laurel in two forested study areas.

577 An Object-oriented Approach to Urban Forest Mapping in Phoenix
Jason S. Walker and John M. Briggs

A methodological technique was created and assessed using an object-oriented approach in order to allow for regular monitoring of structural vegetation detection using high-resolution, color imagery.

585 Imagery Integration Methods for Precise Geological Mapping of Rugged Terrain, Alberta, Canada
Daniel Lebel, Guillaume Kenny, Donna Kirkwood, Jacynthe Pouliot, Jean-Sébastien Marcil, Christine Deblonde, and Patricia Molard

A new geological mapping technique utilizing web-accessible terrain rendering techniques and a photographic database for image rectification and geologic mapping applications.