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Current PE&RS Cover

PE&RS February 2006

Leica Geosystems Geospatial Imaging provided this month’s cover image,
demonstrating the capabilities of the Leica ADS40 Airborne Digital Sensor. 3001, Inc. captured this image of Fort Pierce, FL, USA, during the 2004 flying season. It has a pixel resolution of six inches. Image courtesy of 3001, Inc.

The Leica ADS40 delivers all digital, 12-bit data with the swath width and coverage area of a traditional film camera. The spatial resolution of the ADS40 enables users to achieve higher accuracy in large-scale mapping applications, extract more detailed information, and digitally equal black and white film resolution. The sensor’s innovative construction allows for the simultaneous acquisition of seven bands of information, including three panchromatic CCD lines that capture information in views forward, nadir and backward from the aircraft.

For more information, contact Leica Geosystems Geospatial Imaging, LLC. Phone: +1 770.776.3400, e-mail: info@gi.leica-geosystems.com, Web: gi.leica-geosystems.com.

Highlight Article

90 Introduction to GPS/IMU Integration (Adobe PDF 759Kb)
Huangqi Sun

Feature Article
95 ASPRS Panel Report to the U.S. Geological Survey on Digital Orthoimagery
(Adobe PDF 1.29Mb)

Columns & Updates
89 Letter to the Editor (Adobe PDF 76Kb)
109 Grids and Datums — Republic of Côte d’Ivoire (Adobe PDF 127Kb)
111 Book Review — Exploring Geovisualization (Adobe PDF 119Kb)
113 Headquarters News (Adobe PDF 83Kb)
119 Industry News

Announcements
92 PE&RS Special Issue Call for Papers — Remote Sensing Data Fusion
94 PE&RS Special Issue Call for Papers — Web and Wireless GIS
112 ASPRS 2006 Annual Conference — Prospecting for Geospatial Information Integration

Departments
93 Certification List
112 New Member List
113 Region of the Month
114 ASPRS Member Champions (Adobe PDF 98Kb)
121 Calendar
123 Who’s Who in ASPRS
124 Sustaining Member Listing
126 New Sustaining Members
127 Instructions to Authors
158 Forthcoming Articles
197 Classifieds
198 Professional Directory
199 Advertiser Index
200 Membership Application

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

129 Incorporating Remote Sensing Information in Modeling House Values: A Regression Tree Approach
Danlin Yu and Changshan Wu

Using a regression tree approach to calibrate a house hedonic model with integrated remote sensing yielding promising modeling results and housing marketing analysis.

139 An Integrated Approach to Wildland Fire Mapping of California, USA Using NOAA/AVHRR Data
Peng Gong, Ruiliang Pu, Zhanqing Li, James Scarborough, Nicolas Clinton, and Lisa M. Levien

An integrated approach consisting of active fire detection and burnt area mapping applied to wildland fire mapping in California
during the 1999 fire season.

151 Control Patches for Automatic Single Photo Orientation
Jen-Jer Jaw and Yi-Shen Wu

An automatic matching approach for single photo orientation implemented using matching control patches.

159 Comparison of Automated Watershed Delineations: Effects on Land Cover Areas, Percentages, and Relationships to Nutrient Discharge
Matthew E. Baker, Donald E. Weller, and Thomas E. Jordan

A comparison of manual and automated watershed delineation procedures and their effects on a multi-regional analysis of land-cover and stream nutrient concentration.

169 Mapping Prairie Pothole Communities with Multitemporal Ikonos Satellite Imagery
Rick Lawrence, Rebecca Hurst, T. Weaver, and Richard Aspinall

Multi-date Ikonos imagery classified with classification tree analysis successfully distinguished major vegetation types in the prairie region of the Missouri Coteau.

175 Assessing Accuracy of Net Change Derived from Land Cover Maps
Stephen V. Stehman and James D. Wickham

An accuracy assessment strategy and a protocol for evaluating sampling design options.

187 Population Density and Image Texture: A Comparison Study
XiaoHang Liu, Keith Clarke, and Martin Herold

The correlation between population density and Ikonos image texture measured by gray-level co-occurrence Matrix (GLCM), semi-variance, and spatial metrics is compared.