PE&RS July 2006
VOLUME 72, NUMBER 7
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
This month’s cover, provided by BAE Systems, shows how geospatial data supports
national security AND the national pastime. The image shows the site of the Little League World Series
to be held in Williamsport, PA this August. Event security planners will make use of one-foot and six-inch
color orthophotos, generated by BAE Systems as part of the Pennsylvania PAMAP program. PAMAP consists
of orthophoto and lidar data covering the entire
Pennsylvania Commonwealth. One third of the state
is fl own and processed each year. The orthophotos
are color, one-foot pixel resolution and the lidar is
capable of supporting two-foot contours.
BAE Systems uses SOCET SET® photogrammetric
software to georeference, orthorectify, and mosaic
the aerial imagery data. These images of the Little
League World Series site are particularly exciting,
since this is the League’s 60th anniversary for holding
this event, and will be very useful in ensuring a safe
and secure competition. Play Ball!
Highlight Article

725 Fighting Crop Insurance
Fraud with Landsat (Adobe PDF 844Kb)
Laura Rocchio
Columns & Updates
729 Grids and Datums — Republic of
Maldives (Adobe PDF113Kb)
731 Book Review — Manual of Remote
Sensing, Third Edition, Volume 5:
Remote Sensing of Human Settlements (Adobe PDF 190Kb)
735 Headquarters News — ASPRS 2006
Annual Conference – A Great
Event!, ASPRS Announces 2006
SAIC/Estes, Memorial Teaching
Award Winner, Osborn and Wolf
Memorial Scholarship Winners
Announced by ASPRS, and Kodak International Educational Literature
(KIELA) 2006 Award Recipient Named by ASPRS (Adobe PDF 449Kb)
739 Industry News
Announcements
798 ASPRS 2007 Annual Conference
812 Call for Papers — Remote Sensing Data Fusion; Web and Wireless GIS
834 ASPRS/MAPPS Specialty Conference
Departments
738 Certification List
733 New Member List
736 Region of the Month
742 ASPRS Member Champions (Adobe PDF 55Kb)
766 Who’s Who in ASPRS
767 Sustaining Member List
769 Instructions to Authors
780 Forthcoming Articles
812 Calendar
845 Classifieds
846 Professional Directory
847 Advertiser Index
848 Membership Application
Yearbook
743 Board of Directors (Adobe PDF 201Kb)
744 Installation of Officers (Adobe PDF 244Kb)
745 ASPRS: The Imaging and
Geospatial Information Society (Adobe PDF 57Kb)
746 ASPRS Strength Through
Diversity — President’s Address (Adobe PDF 230Kb)
748 2005-2006 Executive
Director Report (Adobe PDF 161Kb)
752 Awards Recipients (Adobe PDF 2.1Mb)
763 Memorial Address — David
Stanley Simonett (Adobe PDF 304Kb)
Click HERE for a .pdf version of the whole yearbook (file size 2.97Mb)
Peer-Reviewed Articles (Click the linked titles to see the
full abstract)
771 A Comparative Study of Australian Cartometric and
Photogrammetric Digital Elevation Model Accuracy
Jeffrey P. Walker and Garry R. Willgoose
The accuracy of digital elevation models derived from digitizing
contours on topographic maps and from autocorrelation
of stereo photographs is investigated throught comparison
with elevation data from a ground survey.
781 Evaluating Ecoregions for Sampling and Mapping
Land-cover Patterns
Kurt H. Riitters, James D. Wickham, and Timothy G. Wade
Anaylsis of land-cover maps from Satellite imagery shows
that composition is regional, but pattern is local.
789 Evaluation of Eelgrass Beds Mapping Using a
High-Resolution Airborne Multispectral Scanner
Haiping Su, Duane Karna, Eric Fraim, Michael Fitzgerald, Rose
Dominguez, Jeffrey S. Myers, Bruce Coffl and, Lawrence R.
Handley, and Thomas Mace
A demonstration of the capability of a high-resolution airborne
multispectural scanner to map eelgrass beds.
799 Object-based Detailed Vegetation Classification with
Airborne High Spatial Resolution Remote Sensing
Imagery
Qian Yu, Peng Gong, Nick Clinton, Greg Biging, Maggi Kelly,
and Dave Schirokauer
Object-based classification applied in vegetation mapping at
alliance level with 1-meter resolution airborne imagery compared
with conventional pixel-based classification.
813 Urban Land-use Classification Using Variogram-based
Analysis with an Aerial Photograph
Shuo-sheng Wu, Bing Xu, and Le Wang
A variogram-based texture analysis was tested for classifying
detailed urban land-use classes, such as mobile home, singlefamily
house, multi-family house, industrial, and commercial,
from a digital color infrared aerial photograph.
823 An Agreement Coefficient for Image Comparison
Lei Ji and Kevin Gallo
A non-dimensional measure of agreement was developed to
evaluate the agreement between two different images. As a supplemental material, a SAS program including the SAS output for calculating the agreement coefficient is provided for download in zip format here
835 Automated Techniques for Environmental Monitoring
and Change Analyses for Ultra High-resolution Remote
Sensing Data
Manfred Ehlers, Monika Gaehler, and Ronald Janowsky
The development of automated classification methods for
vegetation and biotope type mapping from the new generation
of ultra high-resolution remote sensing data.
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