Cover Image
The cover image is a true color compositeof a hyperspectral image collected
over Crater Lake, Oregon by the Hymap sensorowned by HyVista Corporation.
Hymapchannel 14 (0.6439 mm) is loaded to the red color gun, channel 8 (0.5557
mm) to the green color gun, and channel 2 (0.4665mm) to the blue color gun.
The scene shows the western edge of Crater Lake, includingWizard Island.
Crater Lake partially fills a caldera that was formed by the collapse of
3,700 m of Mount Mazama during an explosive eruption approximately 7,700
years ago. The aldera wall displays the geologic layering of lava flows through
time. Following the climactic eruption, it took perhaps 250 years of rain
and snow accumulation for the caldera to fill to its present-day lake level.
Wizard Island is a cinder cone built up by repeated explosive eruptions long
after the initial explosion. Recent estimates date the last activity of the
Wizard Island cone at about 800 years ago. Theinset images show the Hymap
image draped over a USGS 10 m DEM, and pixel spectra of various materials
from the scene, illustrating the high spectral resolution of the Hymap sensor.
All images and plots were generated in the ENVI image processing software,
by RSI.The highlight article (pg.377-380) provides information about the
benefits of working with hyperspectral imagery. For more information contact http://www.hyvista.com.
Highlight Article
377 Why Use Hyperspectral Imagery? (Adobe PDF
250kb)
Peg Shippert
Peer Reviewed Articles (Click the linked titles to see the full abstract)
397 An Accurate and Automated Approach to Georectification
of HDF-EOS Swath Data
Wenli Yang and Liping Di
An accurate and fully automated georectification algorithm, which is especially suitable for wide viewing angle Earth observing satellite data in NASA’s standard data format, is described and implemented.
405 Assessing the Accuracy of National Land Cover
Dataset Area Estimates at Multiple Spatial Extents
Jeffrey W. Hollister, M. Liliana Gonzalez, John F. Paul,Peter V. August, and
Jane L. Copeland
Accuracy of area estimates for different land-use/land-cover classes is shown to vary with the spatial extent of the sampling unit upon which the area measurement is determined, and relatively poor accuracy is found more often in smaller sampling units.
415 Combining Non-Parametric Models for Multisource
Predictive Forest Mapping
Zhi Huang and Brian G. Lees
A new strategy that combines several models based on different principles not only provides estimates of confidence, but also improves the mapping accuracy.
427 An Initial Study on Automatic Reconstruction
of Ground DEMs from Airborne IfSAR DSMs
Yun Zhang, C. Vincent Tao, and J. Bryan Mercer
An automatic IfSAR DEM reconstruction approach with algorithm implementation and testing results is described.
439 The Characteristics and Interpretability
of Land Surface Change and Implications for Project Design
Terry L. Sohl, Alisa L. Gallant, and Thomas R. Loveland
Mixtures of algorithm-based detection and manual interpretation may often prove to be the most feasible and appropriate design for change-detection applications.
451 Validation and Calibration of Canada-WideCoarse-Resolution
Satellite Burned-AreaMaps
R.H. Fraser, R.J. Hall, R. Landry, T. Lynham, D. Raymond, B. Lee, and Z. Li
Continental-scale burned-area maps derived from SPOT VGT and NOAA/AVHRR satellite imagery were validated and calibrated using a large sample of Landsat TM scenes.
461 Satellite Observations of the Seasonal Vegetation
Growth in Central Asia: 1982-1990
Fangfang Yu, Kevin P. Price, James Ellis, and Dietrich Kastens
The date of onset of vegetation green-up was found to be most consistent for the forest ecosystem, while the desert steppe was characterized by high year-to-year variations in onset date.
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