Current PE&RS Cover
PE&RS November 2008
VOLUME 74, NUMBER 11PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING
A dramatic view of Hurricane Gustav is shown in the Coastal Online Assessment and Synthesis Tool (COAST) geobrowser being
developed at NASA’s Applied Sciences Program at
Stennis Space Center. COAST is being used to integrate
previously disparate coastal datasets from NASA and other
sources into a common desktop tool that provides new
data visualization and analysis capabilities for the coastal
researcher. Built upon the popular NASA opensource
World Wind geobrowser from NASA Ames Research
Center, COAST allows direct data import and overlay
of accessible online geo-image and vector datasets,
temporal image overlay animation, and transparency
control over the data layers. The image depicted on the
cover is a COAST view of Hurricane Gustav as it bears
down upon the oil and gas infrastructure laden coasts
of Louisiana and Texas on August 31, 2008. NASA
Moderate Resolution Imaging Spectroradiometer
(MODIS) 500-meter resolution Blue Marble imagery
with bathymetry from NASA’s Jet Propulsion Laboratory
forms the background image with a NASA Aqua
MODIS visible truecolor image of Gustav superimposed
(image courtesy of MODIS Rapid Response Project at NASA Goddard Space Flight Center).
Overlaid vector data includes oil industry infrastructure from the National Oceanic and Atmospheric
Administration and the 2007 population density by county from the U.S. Census Bureau.
Highlight Article
1286 Guidelines for Procurement of Professional Aerial Imagery, Photogrammetry, Lidar and Related Remote Sensor-based Geospatial Mapping Services (Adobe PDF 674Kb)
1297 ASPRS Ten-Year Remote Sensing
Industry Forecast — Phase V (Adobe PDF 1340Kb)
Charles Mondello, George Hepner,
and Richard Medina
Columns & Updates
1307 Grids and Datums — Arab
Republic of Egypt (Adobe PDF 694Kb)
1312 Book Review — Understanding
Forest Disturbance and Spatial
Pattern: Remote Sensing and
GIS Approaches (Adobe PDF 694Kb)
1311 Mapping Matters
1315 Headquarters News (Adobe PDF 834Kb)
1317 Industry News
Announcements
1314 Call for Papers — 22nd Biennial
Workshop on Aerial Photography,
Videography, and High
Resolution Digital Imagery for
Resource Assessment
1439 ASPRS 2009 Annual Conference — Reflection of the Past, Vision
for the Future
1424 Call for Papers — MultiTemp
2009 — Fifth International
Workshop on the Analysis of
Multitemporal Remote Sensing
Images
Departments
1308 Certification List
1309 New Member List
1315 Region of the Month
1316 ASPRS Member Champions (Adobe PDF 517Kb)
1320 Who’s Who in ASPRS
1321 Sustaining Members
1323 Instructions for Authors
1342 Forthcoming Articles
1412 Calendar
1441 Classifieds
1442 Professional Directory
1443 Advertiser Index
1444 Membership Application
Peer-Reviewed Articles (Click the linked titles to see the full abstract)
1325 Habitat Mapping in Rugged Terrain Using Multispectral
Ikonos Images
Janet Nichol and Man Sing Wong
A multi-level object-oriented and decision-tree classifier for detailed habitat mapping in rugged terrain.
1335 Estimation of Forest Stand Characteristics Using Spectral
Histograms Derived from an Ikonos Satellite Image
Jussi Peuhkurinen, Matti Maltamo, Lauri Vesa, and Petteri Packalén
The potential of Ikonos satellite images for estimating forest stand characteristics studied in boreal conditions.
1343 Pixel-based Minnaert Correction Method for Reducing
Topographic Effects on a Landsat-7 ETM+ Image
Dengsheng Lu, Hongli Ge, Shizhen He, Aijun Xu, Guomo
Zhou, and Huaqiang Du
A pixel-based Minnaert correction approach is developed for reducing the topographic effects on a Landsat ETM+ image.
1351 Orthogonal Transformation of Segmented SPOT5 Images:
Seasonal and Geographical Dependence of the
Tasselled Cap Parameters
Eva Ivits, Alistair Lamb, Filip Langar, Scott Hemphill, and
Barbara Koch
Tasselled Cap parameters were derived for the SPOT5 sensor from different seasons and geographical locations; differences were observed in the Greenness and Wetness parameters while the Brightness was proven relatively stable.
1365 A Polygonal Approach for Automation in Extraction of
Serial Modular Roofs
Yair Avrahami, Yuri Raizman, and Yerach Doytsher
A novel approach for automation in roof extraction from aerial images based on the assumption that roofs are composed of several spatial polygons, and automation in extracting these polygons can lead to automation in roof extraction.
1379 Conterminous U.S. and Alaska Forest Type Mapping
Using Forest Inventory and Analysis Data
B. Ruefenacht, M.V. Finco, M.D. Nelson, R. Czaplewski, E.H.
Helmer, J.A. Blackard, G.R. Holden, A.J. Lister, D. Salajanu, D.
Weyermann, and K. Winterberger
Classification-trees were used to map forest types and forest type groups for the conterminous United States and Alaska using Forest Inventory and Analysis data.
1389 Leaf Area Index (LAI) Change Detection Analysis on
Loblolly Pine (Pinus taeda) Following Complete Understory
Removal
J.S. Iiames, R.G. Congalton, A.N. Pilant, and T.E. Lewis
Investigation of the confounding effect of understory contributions to satellite-derived estimates of LAI on two loblolly pine (Pinus taeda) plantations (ages 19 and 23 years) located in Virginia and North Carolina, USA.
1401 An Initial Study on Vehicle Information Extraction from
Single Pass QuickBird Satellite Imagery
Zhen Xiong and Yun Zhang
A direct location algorithm to calculate vehicle’s ground position from its image position based on a Digital Elevation Model.
1413 A Comparison of Coincident Landsat-5 TM and Resourcesat-1 AWiFS Imagery for Classifying Croplands
David M. Johnson
Testing the suitability of AWiFS imagery with TM as a benchmark for deriving row crop focused cover type maps over highly cultivated regions of the central U.S.
1425 Using a Binary Space Partitioning Tree for Reconstructing
Polyhedral Building Models from Airborne Lidar Data
Gunho Sohn, Xianfeng Huang, and Vincent Tao
A complex building model, which includes a mixture of fl at and sloped planes, is simultaneously reconstructed using a coarse to fine approach accomplished by recursively partitioning an initial building region with data-driven linear features into a set of convex planar polygons having maximal co-planarity.
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