PE&RS June 2001


PE&RS June 2001Cover Image
This month’s cover shows the completed National Land Cover data set (NLCD), which is based on 1992 Landsat-5 Thematic Mapper data supplemented with other data sources. This 30-meter resolution data set was produced through a cooperative project between the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (EPA) as part of the Multi-Resolution Land Characteristics (MRLC) Consortium activities. The background and procedures are described in the Highlight article in this issue. The regional land cover information contained in this data set is in use in a variety of applications, including landscape analyses, land management, and modeling of surface processes. The data set was completed in September 2000, using government and private sector mapping teams. An accuracy assessment is underway, and has been completed for the eastern United States [see the Highlight Article on page 650.] The data set is available in state files from an ftp site.

Established in 1993, the MRLC Consortium is a partnership of federal agencies that produce or use land cover data. Partners include the USGS, 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@USGS.GOV

Highlight Article

650 Completion of the 1990s National Land Cover Data Set for the Conterminous United States from Landsat Thematic Mapper Data and Ancillary Data Sources
James E. Vogelmann, Stephen M. Howard, Limin Yang, Charles R. Larson, Bruce K. Wylie, and   Nick Van Driel

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

685 Using a Cartographic Modeling Language to Manipulate Spectral Satellite Imagery
David Pullar and Samantha Sun

Through a special purpose scripting language and operators, support for generic image processing and image classification is provided. 

693 Mapping Continuous Distributions of Land Cover: A Comparison of Maximum-Likelihood Estimation and Artificial Neural Networks
Brian G. Frizzelle and Aaron Moody

Output vectors from maximum likelihood and artificial neural networks permit the development of spatially distributed fields of classification certainty. 

707 An Assessment of Reference Data Variability Using a “Virtual Field Reference Database”
Ross S. Lunetta, John Iiames, Joseph Knight, Russell G. Congalton, and Thomas H. Mace

The Virtual Field Reference Database, developed using field measurement and digital imagery data, was designed to support detailed assessments of remote-sensor-derived land-cover/land-use products. 

717 Boundary Uncertainty Assessment from a Single Forest-Type Map
Tom De Groeve and Kim Lowell

The possibility and advantages of assessing boundary uncertainty from a single forest-type map using statistical models relating boundary existence and location to neighboring forest attributes is examined. 

727 Statistical Rigor and Practical Utility in  Thematic Map Accuracy Assessment
Stephen V. Stehman

Criteria for defining statistical rigor and practical utility are proposed, and the practical implications of these criteria on map accuracy assessment are described. 

735 Datum Conversion Issues with LIDAR Spot Elevation Data
Richard C. Daniels

Three techniques are described for ground truthing, identifying systematic offsets, and adjusting LIDAR spot elevation data to maximize compatibility with local geodetic vertical control networks. 

741 Enhancement of Image Resolution in Digital Photogrammetry
John Fryer and Kerry McIntosh

A new technique for rigorously combining multiple low-resolution digital images into a higher resolution composite is developed and applied to photogrammetric DEM generation.  

677 Integrating Remote Sensing at the Global, Regional and Local Scale
678 Remote Sensing and GIS Accuracy Assessment Symposium — Call for Papers
750 ASPRS-ACSM 2002 Conference — Call for Papers  

Columns & Updates
663 Grids & Datums — Macau Special Administrative Region
667 Obituary — Merton Davies
668 Headquarters News - Dr. James W. Merchant named Associate Editor of PE&RS during ASPRS Annual Conference in April.
672 Industry News
680 New Sustaining Members  

671 New Members
679 Who’s Who in ASPRS
682 Sustaining Members
684 Index to Advertisers
691 Instructions to Authors
692 Forthcoming Articles
716 Calendar
752 Classifieds
755 Bookstore
759 Professional Directory
763 Membership Application
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