PE&RS December 1997

Cover Image

IRS-1D First Images From Space.  This 23-meter multispectral image, acquired by the Indian Remote Sensing IRS-1D satellite’s LISS-3 sensor shortly after the satellite’s launch on September 29, shows Southern Iran. Geological features can be seen in the northern part of the image and fine drainage patterns are visible in the central portion of the image. The red areas represent vegetation. The IRS-1D satellite was launched aboard India’s Polar Satellite Launch Vehicle (PSLV) from Sriharikota, India. Launched by the Indian Space Research Organization (ISRO), the IRS-1D is an identical twin to the IRS-1C, which was launched in December 1995. In addition to collecting 5.8-meter panchromatic and 23-meter multispectral imagery, IRS-1D collects 188-meter wide-field multispectral imagery. The availability of these three sensors makes imagery collected by these satellites useful for applications as diverse as natural resource planning, agricultural monitoring, urban and transportation development, natural disaster assessment, wide-area environmental assessments, media use and much more. The dual use of the IRS-1C and -1D satellites enables Space Imaging EOSAT, the exclusive provider of IRS imagery to global markets, to offer imagery with varied resolutions to the company’s customers twice as often as is currently possible with just the IRS-1C. The imagery and derivative information products are available through Space Imaging EOSAT’s CARTERRA™ product line.

Image Courtesy Space Imaging EOSAT, 12076 Grant Street, Thornton, Colorado 80241.
301-552-0537 or 800-232-9037; info@spaceimaging.com; http://www.spaceimaging.com.

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

1345 Choosing an Appropriate Spatial Resolution for Remote Sensing Investigations
Peter M. Atkinson and Paul J. Curran

The local variance in the image has been used to help choose an appropriate spatial resolution. 

1353 Spectral Analysis for Articulating Scenic Color Changes in a Coniferous Landscape
Gary R. Clay and Stuart E. Marsh

An integrated approach for discriminating color changes in large-scale forest canopies, using sample data obtained from ground-acquired photography and a geographic information system to reference these data with other environmental variables, is presented. 

1363 Detection of Vegetation Changes Associated with Extensive Flooding in a Forested Ecosystem
William K. Michener and Paula F. Houhoulis

Image differencing of Normalized Difference Vegetation Index data derived from multitemporal SPOT HRV images was the most effective of several techniques evaluated. 

1375 Emperical Relationships between Structural and Spectral Factors of Yellowstone Lodgepole Pine Forests
Mark E. Jakubauskas and Kevin P. Price

Biotic factors relating to the physical structure of the canopy are predicted best using a combination of visible and middle-infrared Landsat TM bands.

Columns & Updates
1331 Observer
1333 Grids & Datums
1335 Remote Sensing
1337 Society

Departments
1339 New Members
1343 Index to Advertisers
1344 Forthcoming Articles
1352 Instructions to Authors
1398 Classifieds
1400 Calendar
1401 Professional Directory

Announcements
1338 PE&RS Covers
1339 Membership Reminder
1344 Letter to the Editor
1374 ASPRS Bookstore
1381 Special Issue: Call for Papers
1397 December Publications Sale!
1399 ASPRS Executive Director Search

1997 PE&RS Indices
1382 Subject Index
1392 Author Index