PE&RS September 2007

Landsat fusion image of Hong Kong on 11th November and 20th December 2006.
Although Hong Kong has a population of 7 million people and growing, and is one of the busiest trans-shipment ports in the world, only about 20% of the land area is available for urban development due to the steep and rugged terrain. The pressures placed on the developable land makes Earth Observation a significant and necessary planning tool for balanced and sustainable development. Landsat-7 fusion image processed by Geocarto International
Centre (http://www.geocarto.com).

Highlight Article

973 Earth Observation for Urban Planning and Management — State of the Art and Recommendations for Application of Earth Observation in Urban Planning (Adobe PDF 509Kb)
Janet Nichol, Bruce King, Dale Quattrochi, Ian Dowman, Manfred Ehlers, and Xiaoli Ding

Columns & Updates
981 Grids and Datums — Republic of Seychelles (Adobe PDF 379Kb)

985 Book Review

985 Remote Sensing of the Marine Environment: Manual of Remote Sensing, 3rd Edition, Volume 6 (Adobe PDF 528Kb)
987 Multispectral Image Analysis Using the Object-Oriented Paradigm (Adobe PDF 167Kb)

991 Headquarters News (Adobe PDF 484Kb)

991 LAS 2.0 Lidar Data Exchange Standard Proposed for Approval
991 ASPRS Proposed Bylaws Changes
992 State of ASPRS Membership Report
997 Two New Members Named to ASPRS Foundation Board of Trustees
997 ASPRS Foundation Receives First Transfer of Scholoarship Funds from Region

Announcements
989 New and Renewed Certified Photogrammetrists, Mapping Scientists and Technologists, December 6th 2006- June 14th 2007
1066 Call for Papers — ILMF 2008
1066 Call for Papers — Spatial Change Analysis

Departments
977 Certification List
988 New Member List
994 ASPRS Member Champions (Adobe PDF 214Kb)
1000 Who’s Who in ASPRS
1001 Sustaining Members
1003 Instructions to Authors
1016 Forthcoming Articles
1028 Calendar
1076 Classifieds
1078 Professional Directory
1079 Advertiser Index
1080 Membership Application

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

1005 Detection of Yellow Starthistle through Band Selection and Feature Extraction from Hyperspectral Imagery
Xin Miao, Peng Gong, Sarah Swope, Ruiliang Pu, Raymond Carruthers, and Gerald L. Anderson

A comparison and evaluation of the effectiveness of hyperspectral (CASI) image visualization techniques based on band selection and feature extraction with the goal of detecting an invasive weed, yellow starthistle, in an annual grassland in California.

1017 Improving Pixel-based VHR Land-cover Classifications of Urban Areas with Post-classification Techniques
Tim Van de Voorde, William De Genst, and Frank Canters

Three post-classification techniques were applied to improve the accuracy and the structural coherence of an urban land-cover map derived from a soft pixel-based classification.

1029 Spectral Matching Techniques to Determine Historical Land-use/Land-cover and Irrigated Areas using Time-series 0.1 degree AVHRR Pathfinder Datasets
P.S. Thenkabail, P. GangadharaRao, T.W. Biggs, M. Krishna, and H. Turral

A study which clearly implies the strengths of the spectral matching technique in identifying and labeling land-use/land-cover and irrigrated area classes with little or no ground truth.

1041 Adaptive Correlation Analysis With Non-Overlapping Imagery Indication
Frank Crosby

A method is presented to autonomously register small overlap imagery with the added benefit that the method provides an indication of when the images have no common area.

1049 Automatic Extraction of Main Road Centerlines from High Resolution Satellite Imagery Using Hierarchical Grouping
Xiangyou Hu and Vincent Tao

To efficiently and reliably extract the main road network from high-resolution satellite imagery, a hierarchical grouping approach is proposed to generate long collinear main road centerlines from fragmented road segments.

1057 Forest and Land Cover Mapping in a Tropical Highland Region
Christian Tottrup

Tropical forest and land-cover classes within a topographically complex area are mapped from a terrain corrected SPOT HRVIR image and using linear mixture modeling in combination with a decision tree classifier.

1067 Integration of Ikonos and QuickBird Imagery for Geopositioning Accuracy Analysis
Rongxing Li, Feng Zhou, Xutong Niu, and Kaichang Di

The integration of Ikonos and QuickBird imagery is feasible and can improve 3D geopositioning accuracy using proper combinations of images.