PE&RS February 1996

Cover Image

Flooding at the confluence of the Spoon and Illinois Rivers near Havana, Illinois, June 71, 1995. ERS-1 SAR and U.S. Geological Survey DEM data were merged using an in-verse JHS transformation. Color represents elevation; brightness corresponds to radar backscatter return. U.S. Geological Survey DLG hydrography and transformation vectors are overlaid.

Image created by Emily S. Bryant, Dartmouth Flood Observatory Project, Departments of Geography and Earth Sciences, Dartmouth College. Research supported by NASA Oceans, Solid Earth, and Natural Hazards Branch, and the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory, Remote Sensing/GJS Center.

SAR data copyright European Space Agency, 1995.

Highlight Article

143 RADARSAT: First Images (Adobe PDF 1Mb)
Dennis Nazarenko, Gordon Staples, and Gory Aspden

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

147 Total Ground-Cover Estimates from Corrected Scene Brightness Measurements
Eric M. San den, Carlton M. Britten, and James H. Everitt

The best correlation between brightness measurements and total ground cover was obtained when vegetation was near peak greenness and the soil was saturated.

151 Landsat TM-Based Forest Damage Assessment: Correction for Topographic Effects
Sam Ekstrand

With a model accounting for terrain and canopy inhomogeneity effects using digitized stand data and digital elevation models, healthy to slightly defoliated spruce forest could be separated from moderately defoliated forest.  

163 Comparison of Three Methods for Mapping Tundra with Landsat Digital Data
Peter E. Joria and Janet C. Jorgenson

Supervised, unsupervised, and modeling approaches were compared; the model used ancillary layers representing elevation, slope, solar illumination, riparian zones, and terrain type in a post-classification sorting of the unsupervised spectral classes.  

171 Application of Remote Sensing and GIS Technologies with Physiological Crop Models
Gregory J. Carbone, Sunil Narumalani, and Michelle King

Remote sensing provided a means of classifying land cover and for identifying agricultural regions within the county, while the GIS allowed the spatial organization of soil and weather data inputs to the model.  

181 Combining Spectral and Texture Data in the Segmentation of Remotely Sensed Images
Soren Ryherd and Curtis Woodcock

The contribution of texture in improving accuracy in a pair-wise multi-pass image segmentation using a variety of spectral bands, resolutions, and landscape features was tested.  

195 Remote Measurement of Algal Chlorophyll in Surface Waters: The Case for the First Derivative of Reflectance Near 690 nm.
Donald C. Rundquist, Luoheng Han, John F. Schalles, and Jeffrey S. Peake

The principal finding was that the commonly used near-infrared/red ratio is best for estimating pigment amounts when the concentration of chlorophyll is relatively low, and the first derivative of reflectance around 690 nm is best when the concentration is relatively high.  

ASPRS 1996 Annual Meeting
201 General Information
202 Keynote Address
203 Exhibit Descriptions
205 Memorial Lecture
206 Workshop Descriptions
209Technical Session Descriptions
213 Registration Form
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Announcements
118 Position Description: PE&RS Editor Search
128 Meeting: ASPRS 1996 Annual Meeting, Baltimore
140 Meeting: XVIII ISPRS Congress, Vienna
180 Call for Papers: GIS/LIS 1996

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