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Current PE&RS Cover

PE&RS July 2009

The cover image shows biomass data over a forested region in South America. Produced using Fugro EarthData’s dual-band GeoSAR radar mapping system, areas of low biomass appear in shades of blue and green, while areas of high biomass are shown in orange and pink tones. Spatially derived biomass maps like the one shown here are of increasing importance as governments around the world work to implement carbon trading programs aimed at curbing CO2 emissions. Tropical forests, which hold large percentages of the world’s total vegetation-based carbon stocks, are in special need of high accuracy biomass data. Fugro EarthData is currently working with existing clients and university partners to validate the use of GeoSAR data in this regard. The basis for the GeoSAR research is documented in this month’s highlight article (page 738), entitled “GeoSAR and DBInSAR: Combining “X” With “P” for Tropical Forest “C””. GeoSAR is the world’s only dual-band, single-pass airborne interferometric SAR mapping system. Penetrating clouds and foliage, GeoSAR simultaneously maps surface features (using X-band) and near bare-earth elevation (using P-band), making it particularly well suited for equatorial mapping. For more information on GeoSAR and its use for wide-area carbon mapping, contact mlwilliams@fugroearthdata.com or visit our website at www.fugroearthdata.com.

Highlight Articles
738 GeoSAR and DBInSAR: Combining “X” With “P” for Tropical Forest “C” (Adobe PDF 827Kb)
Mark L. Williams and L.G. Jenkins

Feature Article
747 The Changing Geospatial Landscape: A Report of the National Geospatial Advisory Committee (Adobe PDF 298Kb)

Columns & Updates
753 Grids and Datums — Islamic Republic of Pakistan (Adobe PDF 627Kb)
756 Book Review — The 3-D Global Spatial Data Model: Foundation of the Spatial Data Infrastructure (Adobe PDF 162Kb)
758 Headquarters News — Manual of Geographic Information Systems Published by ASPRS (Adobe PDF 715Kb)
759 Reflection of the Past (Adobe PDF 222Kb)
760 Industry News

Announcement
881 ASPRS Publications Catalog

Departments
744 New Members
744 Certification List
758 Region of the Month
762 ASPRS Member Champions (Adobe PDF 150Kb)
783 Who’s Who in ASPRS
784 Sustaining Members
786 Calendar
787 Instructions for Authors
870 Forthcoming Articles
898 Classifieds
898 Advertiser Index
899 Professional Directory
900 Membership Application

Yearbook
Download entire yearbook (Adobe PDF 1.0Mb)
763 Board of Directors (Adobe PDF 159Kb)
764 Installation of Officers (Adobe PDF 151Kb)
765 ASPRS: The Imaging and Geospatial Information Society (Adobe PDF 121Kb)
766 Presidential Address (Adobe PDF 430Kb)
769 2009-2010 Executive Director Report (Adobe PDF 247Kb)
774 Award Recipients (Adobe PDF 318Kb)
780 Memorial Address — Rupert Barron Southard, Jr. (Adobe PDF 200Kb)

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

789 An Accuracy Index with Positional and Thematic Fuzzy Bounds for Land-use / Land-cover Maps
Stéphane Couturier, Jean-François Mas, Gabriela Cuevas, Jorge Benítez, Álvaro Vega-Guzmán, and Valdemar Coria-Tapia

A framework for assessing taxonomically detailed landcover/land-use maps at regional scale is proposed and illustrated on the Mexican National Forest Inventory map of a subtropical densely forested area.

807 GIS Analysis of Global Impacts from Sea Level Rise
Xingong Li, Rex J. Rowley, John C. Kostelnick, David Braaten, Joshua Meisel, and Kalonie Hulbutta

GIS analyses to estimate and visualize the location, extent, and impacts of potential inundation resulting from sea level rise projections at a global scale.

819 Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues
Minho Kim, Marguerite Madden, and Timothy A. Warner

The effect of scale and associated segmentation quality on classification results of forest types in a National Park, U.S. was investigated with spectral and spatial information of multispectral Ikonos imagery.

831 Developing Collaborative Classifiers using an Expert-based Model
Giorgos Mountrakis, Raymond Watts, Lori Luo, and Jida Wang

A novel framework for integrating classifi ers of variable complexity as applied to specific portions of the input space.

845 Automated Urban Delineation from Landsat Imagery Based on Spatial Information Processing
Bert Guindon and Ying Zhang

Proposed methods to automatically delineate urban areas on Landsat imagery based on extracted line information.

859 Traffic Monitoring using Very High Resolution Satellite Imagery
Siri Øyen Larsen, Hans Koren, and Rune Solberg

An object based vehicle detection algorithm using Quick-Bird imagery for generation of data that are to be used in estimates of Annual Average Day Traffic.

871 Object-based Detection and Classification of Vehicles from High-resolution Aerial Photography
Ashley C. Holt, Edmund Y.W. Seto, Tom Rivard, and Peng Gong

An object-based classification technique to extract vehicle volumes and vehicle type distributions from aerial photos sampled throughout a large metropolitan area.