ASPRS

PE&RS March 2001

VOLUME 67, NUMBER 3
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

PE&RS March 2001Cover Image
This month’s cover was provided by ERDAS, Inc. (Atlanta, Georgia).  The change simulation, created using IMAGINE VirtualGIS, shows the development of a re-forestation project over several years' time. Textures courtesy of Imagetects. ERDAS is a registered trademark and IMAGINE VirtualGIS is a trademark of ERDAS, Inc. All other product names are the properties of their respective owners.

For more information about ERDAS’ geographic imaging solutions, please visit www.erdas.com, call toll-free 1-877-GO ERDAS, or dial +1 404-248-9000 (if outside the US).

 

 

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

273 Deployment and Calibration of Reference Reflectance Tarps for Use with Airborne Imaging Sensors
M. Susan Moran, Ross B. Bryant, Thomas R. Clarke, and Jiaguo Qi

Chemically treated canvas tarps of large dimension were evaluated for use as stable ground references for images obtained with airborne digital sensors. 

287 Fuzzy Image Classification for Continental-Scale Multitemporal NDVI Series Images Using Invariant Pixels and an Image Stratification Method
Jeong Chang Seong and E. Lynn Usery

Invariant pixels and stratified images allow land-cover classification with NDVI time series images covering a large area by providing sufficient ground-truth data for every year and reducing spatial variation of vegetation phenology. 

295 Mapping Vegetation across Large Geographic Areas: Integration of Remote Sensing and GIS to Classify Multisource Data
Zhenkui Ma, Melissa M. Hart, and Roland L. Redmond

Large areas can be mapped using a two-stage classification procedure: (1) delineating raster polygons that simulate manually digitized boundaries of land-cover patterns from a color composite of a remotely sensed image, and (2) collecting attributes for each raster polygon in a GIS and conducting a supervised classification of land-cover type and other features. 

309 Mapping of Salmon Habitat Parameters Using Airborne Imagery and Digital Ancillary Data
T.M. Puestow, É.L. Simms, A. Simms, and K. Butler

CASI imagery and digital map data were integrated based on decision tree analysis for the mapping of bottom substrate and channel pattern as important freshwater habitat parameters for Atlantic salmon. 

319 Monitoring Forest Transitions Using Scanned Ground Photographs as a Primary Data Source
Gary R. Clay and Stuart E. Marsh

A range of pre-processing and image sampling procedures is presented that could potentially provide new, cost-effective analytical tools for forest managers.  

Announcements
248 Measuring the Earth — Digital Elevation Technologies and Applications
261 ASPRS Annual Conference —  Gateway to the New Millennium
264 Call For Posters — Third International Conference: Geospatial Information in Agriculture and Forestry
294 Call for Papers — PE&RS Special Issue on Geospatial Information Technology in Korea 

Columns & Updates
245 Software Review
249 In Memoriam - David Roy Hocking
251 Letter to the Editor
253 Grids & Datums — Republic of Angola
259 Headquarters News
263 Industry News  

Departments
260 New Members
271 Who’s Who in ASPRS
272 Index to Advertisers
308 Instructions to Authors
318 Forthcoming Articles
331 Calendar
394 Classifieds
399 Bookstore
403 Professional Directory
407 Membership Application

Resource 2001
332 ASPRS Code of Ethics
334 Introduction
335 Sustaining Members
337 Corporate Descriptions
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