PE&RS July 1998

Cover Image

This image shows the completed portion of the 30-meter resolution land-cover data set being produced as a cooperative project between the U.S. Environmental Protection (EPA) and U.S. Geological Survey (USGS), one of the Multi-Resolution Land Characteristics (MRLC) Consortium activities. The small-scale image represents Federal Regions 1, 2, 3, and 4. The inset shows the Washington, DC area and illustrates the detail of the land-cover data. The primary data source is Landsat thematic mapper (TM) imagery supplemented by other spatial data. The procedures are described in “Regional Characterization of Land Cover Using Multiple Sources of Data” (January 1998 PE&RS). The approach produces regional land-cover information suitable for a variety of applications, including landscape analyses, policy development, and modeling of nutrient and pesticide runoff. The conterminous U.S. dataset will be completed in December 1999 using teams from both the government and private sector.

Established in 1993, the MRLC Consortium is a partnership of federal agencies that produce or use land-cover data. Partners include the USGS (National Mapping, Biological Resources, and Water Resources Divisions), EPA, the U.S. Forest Service, and the National Oceanic and Atmospheric Administration.

For more information, contact the USGS EROS Data Center at 605-594-6114 or mrlc@edcmail.cr.usgs.gov.

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

709 Automatic Reconstruction of Road Centerlines from Mobile Mapping Image Sequences
Chuang Tao, Rongxing Li, and Michael A. Chapman

The road centerline reconstruction is treated as an inverse problem and solved by global optimization techniques. 

717 Improving Landsat Scene Selection Systems
Kenneth McGwire

Ancillary environmental information can be integrated into the scene selection to ensure the most phenologically consistent image acquisitions. 

723 Algorithms for the Detection of Sub-Pixel Targets in Multispectral Imagery
Edward A. Ashton and Alan Schaum

The algorithm integrates a linear mixing model with the powerful RX anomaly detector of Reed and Yu. 

733 Resource Management of Forested Wetlands: Hurricane Impact and Recovery Mapped by Combining Landsat TM and NOAA AVHRR Data
Elijah W. Ramsey III, Dal K. Chappell, Dennis Jacobs, Sijan K. Sapkota, and Dan G. Baldwin

Higher recoveries tended to be related to higher percentages of hardwoods, while lower recoveries tended to be related to forests with nearly equal percentages of hardwoods and cypress-tupelo 

739 Identifying the Effects of the Gulf War on the Geomorphic Features of Kuwait by Remote Sensing and GIS
Magaly Koch and Farouk El-Baz

Postwar satellite images were correlated with prewar maps within a GIS to identify changed surface features in Kuwait’s desert.

Yearbook
667 1998 Board of Directors
668 Region Map
669 American Society for Photogrammetry & Remote Sensing
670 Installation of Officers
671 Inaugural Address
681 Award Recipients
687 Memorial Address: Charles H. Andregg
696 Who’s Who in ASPRS
704 Building Fund

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707 ASPRS BUCK$
722 Call for Presentations: ERIM Geologic Conference
731 Call for Papers: 17th Biennial Workshop on Color Photography & Videography in Resource Assessment
748 Call for Abstracts: 1999 ASPRS Annual Conference
749 Alamo Rent-A-Car
750 GIS/LIS ‘98

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661 GPS

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705 Sustaining Members
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732 Instructions to Authors
747 Forthcoming Articles
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