The Landsat 5 cover images demonstrate extensive coverage provided
by the Landsat series of earth observing satellites and,
especially, the record coverage provided by Landsat 5.
Launched in 1984 and designed to last 3 years, Landsat
5 begins its 25th year of operation on March 1, 2008 and
the 600,000 scenes acquired to date allow scientists,
resource managers, urban planners, and educators to
monitor changes to the Earth’s land surface. The cover
examples illustrate urban growth, depicting the region
near Dulles Airport in Northern Virginia. In 1984 the
area near the airport was marked by development close
to the Dulles toll road.Land north of the airport was in
agricultural use, with some development along Highway
7, running generally parallel to the Potomac River.
By 2007, the region is dominated by commercial development around the airport and along Highway 28, which runs north to south east of the airport. The Dulles toll road has expanded north and west and residential and commercial development has expanded into the agricultural region. Shopping Centers, golf courses, and commercial and residential developments are also evident along the Highway 7 corridor.
Cover images courtesy of the USGS’ Land Remote Sensing Program.
Columns & Updates
273 Grids and Datums — People’s
Republic of Bangladesh (Adobe PDF 87Kb)
275 Mapping Matters
277 Book Review — Introduction to
Remote Sensing, 4th Edition (Adobe PDF 61Kb)
278 In Memoriam — Chor-Pang
(C.P.) Lo
279 Headquarters News— Roger M. Hoffer Selected as
ASPRS Honorary Member
280 Industry News
Announcements
270 ASPRS 2008 Annual Conference — Bridging the Horizons: New
Frontiers in Geospatial
Collaboration
278 Call for Papers — Spatial Change
Analysis
283 Pecora 17 — The Future of Land
Imaging...Going Operational
375 2008 Spring Book Sale (Adobe PDF 72Kb)
Departments
279 Region of the Month
281 New Member List
282 Certification List
284 Who’s Who in ASPRS
285 Sustaining Members
287 Instructions for Authors
302 Forthcoming Articles
310 Calendar
377 Classifieds
378 Professional Directory
379 ASPRS Member Champions (Adobe PDF 37Kb)
379 Advertiser Index
380 Membership Application
Peer-Reviewed Articles (Click the linked titles to see the full abstract)
289 Validation of the ASTER Instrument Level 1A Scene
Geometry
Hugh H. Kieffer, Kevin F. Mullins, and David J. MacKinnon
An independent assessment of the Advanced Spaceborne Thermal Emission and Refl ection Radiometer (ASTER) instrument geometry.
303 A Generic Model for Along Track Stereo Sensors Using
Rigorous Orbit Mechanics
Pantelis Michalis and Ian Dowman
A generic, rigorous sensor model for high-resolution optical satellite sensors with along track stereoscopic capabilities.
311 A Comparative Study of Landsat TM and SPOT HRG
Images for Vegetation Classification in the Brazilian
Amazon
Dengsheng Lu, Mateus Batistella, Emilio Moran, and Evaristo
E. de Miranda
Vegetation classification in the Brazilian Amazon through combinative use of Landsat TM and SPOT HRG data.
323 Texture Feature Fusion with Neighborhood-Oscillating
Tabu Search for High Resolution Image Classification
Liangpei Zhang, Yindi Zhao, Bo Huang, and Pingxiang Li
Neighborhood-Oscillating tabu search integrates different types of texture features to improve classifi cation performance of high-resolution imagery.
333 Land-cover Classification Using ASTER Multi-band
Combinations Based on Wavelet Fusion and SOM
Neural Network
Hasi Bagan, Qinxue Wang, Masataka Watanabe, Satoshi
Kameyama, and Yuhai Bao
A land-cover classification methodology using ASTER VNIR, SWIR, and TIR band combinations based on wavelet fusion and SOM neural network methods, and classification accuracy of different band combinations.
343 Parametric Investigation of the Performance of Lidar
Filters Using Different Surface Contexts
Suyoung Seo and Charles G. O’Hara
Comparison of the performance of surface models for filtering lidar data which are derived from morphological operations, triangulation, and linear prediction to filter lidar data.
363 Analysis of Turbid Water Quality Using Airborne
Spectrometer Data with a Numerical Weather
Prediction Model-aided Atmospheric Correction
Jenni Attila , Timo Pyhälahti , Tuula Hannonen, Kari Kallio,
Jouni Pulliainen, Sampsa Koponen, Pekka Härmä, and Karri
Eloheimo
Numerical weather prediction model calculations used as input parameters for atmospheric correction of turbid waters and analysis of its effect on water quality estimation.