PE&RS July 2003

Cover Image

Leica Geoystems GIS & Mapping (www.gis.leicageosystems.com) provided this month’s cover image of Monterrey, California. Using Stereo Analyst® for ArcGIS, features were extracted from this IKONOS image provided by Space Imaging. Stereo Analyst for ArcGIS is the first stereo feature collection product built on a GIS, for a GIS, to feed a GIS, therefore reducing the time traditional photogrammetric techniques take to transform an image to GIS data. Stereo Analyst for ArcGIS provides a direct ‘image to GIS’ approach to obtain reliable feature data from imagery. These ‘GIS ready” or oriented images now serve as the basis for collecting and revising feature data in GIS. The satellite images provided by companies like Space Imaging are oriented images which can be used directly with Stereo Analyst for ArcGIS This allows GIS professionals to directly create and maintain feature data in a GIS using oriented imagery.

For more information, visit www.gis.leica-geosystems.com

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

755 A Spatial Filter for the Removal of Striping Artifacts in Digital Elevation Models
Marco Albani and Brian Klinkenberg

A filtering algorithm that takes advantage of the structure of British Columbia TRIM elevation point files is effective in mitigating the impacts of striping like artifacts in the calculation of local DEM parameters.

767 A Fast Algorithm for Approximate Viewshed Computation
David Izraelevitz

The cost of generating arbitrarily close approximations to the viewshed is reduced by an order of magnitude by careful reuse of previous computations.

775 Urban Subsidence Monitoring Using Radar Interferometry: Algorithms and Validation
Michele Crosetto, Manuel Castillo, and Roman Arbiol

The procedure involves a least-squares calibration of the DInSAR, the reduction of atmospheric effects, and the data fusion procedure for multiple observations of the same subsidence.

785 Impact of Topographic Normalization on Land-Cover Classification Accuracy
Stephen R. Hale and Barrett N. Rock

Classification accuracies derived from various topographic normalization treatments were compared to determine the most effective method.

793 Land-Cover Change Monitoring with Classification Trees Using Landsat TM and Ancillary Data
John Rogan, Jennifer Miller, Doug Stow, Janet Franklin, Lisa Levien, and Chris Fischer

Overall accuracies of the land-cover change maps ranged between 72 percent and 92 percent, with ancillary variables playing an important discriminatory role in the most detailed level of land-cover change.

805 Settlement Design, Forest Fragmentation, and Landscape Change in Rondônia, Amazônia
Mateus Batistella, Scott Robeson, and Emilio F. Moran,

Using spatial metrics, the impacts of two neighboring settlement designs on landscape change and forest fragmentation in Rondônia are examined and the debate about colonization strategies in Amazônia is discussed. fragmentation in Rondônia are examined and the debate about colonization strategies in Amazônia is discussed.

Announcements
765 ISPRS— International Workshop on Radiometric and Geometric Calibration
791 Call for Papers — Modeling Uncertainty in Geo-Spatial Data and Analysis

Columns & Updates
733 Grids & Datums — Republic of Bénin
739 Headquarters News
744 Industry News

Departments
751 Who’s Who in ASPRS
752 Sustaining Members
754 Advertiser Index
766 Calendar
784 Forthcoming Articles
792 Instructions to Authors
813 Classifieds
814 Bookstore
819 Professional Directory
822 New Member List
823 Membership Application

Top

Home