PE&RS January 1998

Cover Image

The three images on the cover were acquired by the OrbView-2 SeaWiFS imaging satellite.  OrbView-2's SeaWiFS sensor has six bands in the visible region of the electromagnetic spectrum and two bands in the  infrared region.  The two Southern California images were taken with  the SeaWiFS sensor on September 22, 1997.  The image to the left is a  natural color RGB composite (bands 2, 5 and 6). The image to the right  indicates vegetation using the Atmospherically Resistant Vegetation Index (ARVI) over the land and a chlorophyll concentration algorithm  over the water.  The global OrbView-2 SeaWiFS image was acquired from September 4 to November 20, and indicates vegetative biomass over land and chlorophyll concentration over water and was provided by NASA's  SeaWiFS Project office, Goddard Space Flight Center).

The OrbView-2 satellite was launched August 1, 1997.  ORBIMAGE owns and operates the OrbView-2 SeaWiFS satellite from its headquarters in  Dulles, Virginia.  For more information, contact ORBIMAGE at (703) 406-5800; info@orbimage.com; www.orbimage.com.

Highlight Article

7 Active Response GIS: For Resource Management Spatial Decision Support Systems (Adobe PDF 1.03Mb)
Brenda G. Faber, William W. Wallace, and Gary E. Johnson

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

29 Digitizing Satellite Imagery:Quality and Cost Considerations
Jon Leachtenauer, Kenneth Daniel, and Thomas Vogl

A recently completed study designed to determine the impact of digitizing resolution on the information content of the resultant digitized products is described. 

35 Height Determination of Extended Objects Using Shadows in SPOT Images
V.K. Shettigara and G.M. Sumerling

The accuracy achieved is better than three metres, or one-third the pixel size of the SPOT panchromatic image. 

45 Regional Characterization of Land Cover Using Multiple Sources of Data
J.E. Vogelmann, T. Sohl, and S.M. Howard

Landsat Thematic Mapper data were analyzed in conjunction with multiple sources of ancillary spatial data to develop a large area land-cover data product for U.S. Federal Region III. 

59 The Accuracy of Vegetation Stand Boundaries Derived from Image Segmentation in a Desert Environment
Andrès M. Abeyta and Janet Franklin

Polygon boundaries from region-growing image segmentation showed less than 10 percent omission error but about 50 percent commission error when compared with the true locations of vegetation stand boundaries  

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