Current PE&RS Cover
PE&RS January 2004
VOLUME 70, NUMBER 1PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING
Cover Image
The cover image was provided by Sanborn and shows a shaded relief view of a
60-squaremile area near Austin, Texas. The area shows part of Lake Travis
and the lower Colorado River, including the Mansfield Dam. The underlying
elevation model was developed by Sanborn as part of an update mapping project
for the Capital Area Planning Council (CAPCO). Lidar data, photogrammetrically
derived break-lines, and land cover information were used as the basis for
the elevation model. Sanborn employed a surface estimation technique rather
than lidar filtering to fit an elevation model surface to the lidar points
and break-lines, which were weighted according to their accuracy. Tree, building,
and hydrology land cover classes were then used to tune the estimation process.
The resulting elevation model meets ASPRS Class I standards for two-foot
contours and is free from the ground clutter artifacts and noise typical
in elevation models derived directly from lidar.
For more information, visit www.sanborn.com. Contact information: Anthony Thorpe, director of technology, 719-593-0093, athorpe@sanborn.com.
Special Section
5 10-Year Industry Forecast (Executive Summary in Adobe Acrobat format 5.2Mb)
Peer-Reviewed Articles (Click the linked titles to see the full abstract)
77 Rover Localization and Landing-Site Mapping
Technology for the 2003 Mars Exploration Rover Mission
Rongxing Li, Kaichang Di, Larry H. Matthies, Raymond E. Arvidson, William M.
Folkner, and Brent A. Archinal
A relative localization accuracy of one percent of the traversing distance from the landing center is expected to be achieved, and high precision landing site topographic mapping products, including seamless panoramic image mosaics, DTMs, and orthophotos, will be produced.
91 Landsat TM Satellite Image Restoration Using
Kalman Filters
D. Arbel, E. Cohen, M. Citroen, D.G. Blumberg, and N.S. Kopeika
The implementation of atmospheric filters based on atmospheric MTF for satellite image restoration is described.
101 Spatio-Temporal Analysis Using a Multiscale
Hierarchical Ecoregionalization
Rebecca N. Handcock and Ferenc Csillag
Net primary production (NPP) at monthly temporal resolution for 16 years (1981-1996) at an 8-km spatial resolution for the approximately 106 km2 area of Ontario, Canada is predicted.
111 Automated Subpixel Photobathymetry and Water
Quality Mapping
Robert L. Huguenin, Mo Hwa Wang, Robert Biehl, Scott Stoodley, and Jef frey
N. Rogers
New photobathymetry and water quality software is described that utilizes subpixel analysis software with an autonomous image calibration procedure and analytic retrieval algorithm to simultaneously retrieve and report bottom depth and concentrations of suspended chlorophyll, suspended sediments, and colored dissolved organic carbon on a per-pixel basis from four-band multispectral image data.
125 AVIRIS Measurements of Chlorophyll, Suspended
Minerals, Dissolved Organic Carbon, and Turbidity in the Neuse River, North
Carolina
Mark A. Karaska, Robert L. Huguenin, Jef f L. Beacham, Mo-Hwa Wang, John R.
Jensen, and Ronald S. Kaufmann
Thematic maps of each water quality parameter were generated from the imagery; the maps of chlorophyll showed spatial patterns consistent with field data and circulation of the river, and indicated potential point and non-point sources of algae blooms.
135 Exploitation of Very High Resolution Satellite
Data for Tree Species Identification
A. Carleer and E. Wolff
The potential of very high resolution multispectral satellite images for vegetation mapping, primarily deciduous tree species in “monoculture stands,” with conventional hard classification processes is presented.
141 Predicting Missing Field Boundaries to Increase
Per-Field Classification Accuracy
Paul Aplin and Peter M. Atkinson
Missing field boundaries were predicted by comparing the within-field modal land-cover proportion and local variance to increase the accuracy of per-field classification.
Announcements
110 Call for Papers — PE&RS
Special Issue on Mapping Mars
140 Call for Papers — PE&RS
Special Issue on Mobile Mapping Systems
Columns & Updates
61 Direct Georeferencing Activities in Italy
63 Grids & Datums — Islamic
State of Afghanistan
66 Headquarters News
69 Industry News
Departments
67 New Member List
72 Calendar
73 Who’s Who in ASPRS
74 Sustaining Members
76 New Sustaining Members
76 Advertiser Index
124 Instructions
to Authors
134 Forthcoming Articles
151 Classifieds
152 Bookstore
156 Professional Directory
159 Membership Application
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