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Current PE&RS Cover

PE&RS January 2006

Cover Image

The image of this month’s journal cover is an orthorectified ASAR image fused with a DEM. The image covers the Orange County area in California. It was corrected using a SRTM 3 arc-sec DEM without ground control. Unique among radar satellites, the ENVISAT satellite which carries the ASAR sensor, has the DORIS microwave tracking system to generate precise orbital information. The precise orbital information can be used to orthorectify the ASAR data accurately without ground control. This issue’s Highlight Article will prove that it is possible to orthorectify the ASAR data with an accuracy within one resolution (30m), using only SRTM 3 arc-sec DEM and no ground control.

For more information on the orthorectification of ASAR data visit http://www.pcigeomatics.com/products/orthorectification.html and to read this issue’s Highlight Article “High-accuracy, Low Cost SAR Data Correction: Geometric Correction Of ASAR Data Without Ground Control Points” on page 6.

Highlight Article

6 High-accuracy, Low-cost SAR Data Correction – Geometric Correction of ASAR Data without Ground Control Points (Adobe PDF 298Kb)
Philip Cheng

Columns & Updates
5 Letter to the Editor (Adobe PDF 58Kb)
9 Georeferencing of the UltraCam D Images – Boresight Calibration Results (Adobe PDF 93Kb)
10 Grids and Datums — Republic of Singapore (Adobe PDF 103Kb)
13 Headquarters News — ASPRS Vice Presidential Candidates for 2006 (Adobe PDF 84Kb)
15 Industry News
18 ASPRS Member Champions (Adobe PDF 77Kb)

Announcements
5 PE&RS Special Issue Call for Papers — Remote Sensing Data Fusion
17 ASPRS 2006 Annual Conference — Prospecting for Geospatial Information Integration

Departments
12 Certification List
13 Region of the Month
14 New Member List
19 Who’s Who in ASPRS
20 Sustaining Member Listing
22 New Sustaining Members
22 Calendar
23 Instructions to Authors
46 Forthcoming Articles
81 Classifieds
82 Professional Directory
83 Advertiser Index
84 Membership Application

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

25 Effect of Alternative Splitting Rules on Image Processing Using Classification Tree Analysis
Michael Zambon, Rick Lawrence, Andrew Bunn, and Scott Powell

Alternative splitting rules for classification tree analysis had only minor effects on overall accuracy results of classified imagery, although, individual class accuracies varied widely.

31 Advanced Exploratory Data Analysis for Mapping Regional Canopy Cover
Yaguang Xu, John W. Prather, Haydee M. Hampton, Ethan N. Aumack, Brett G. Dickson, and Thomas D. Sisk

Regional canopy cover maps were derived from DOQ mosaics by means of advanced exploratory data analysis based on a multifractal model.

39 Photogrammetric Techniques in Civil Engineering Material Testing and Structure Monitoring
Hans-Gerd Maas and Uwe Hampel

The potential of photogrammetric deformation measurement techniques is presented with high precision using off-the-shelf software.

47 Mapping Sagebrush Distribution Using Fusion of Hyperspectral and Lidar Classifications
Jacob T. Mundt, David R. Streutker, and Nancy F. Glenn

Standard hyperspectral analysis is augmented by lidar-derived variables increasing classification accuracies and providing detailed stand structure information for semi-arid shrubs.

55 Estimation of Inter-annual Crop Area Variation by the Application of Spectral Angle Mapping to Low Resolution Multitemporal NDVI Images
Felix Rembold and Fabio Maselli

A methodology to estimate area changes of winter crops from low-resolution NDVI profiles.

63 Improving Building Footprints in InSAR Data by Comparison with a Lidar DSM
Paolo Gamba, Fabio Dell’Acqua, Gianni Lisini, and Francesco Cisotta

The combination of three-dimensional laser and radar data for improved building extraction.

71 Mapping Structural Parameters and Species Composition of Riparian Vegetation Using IKONOS and Landsat ETM+ Data in Australian Tropical Savannahs
Kasper Johansen and Stuart Phinn

Evaluation of the capabilities of high and moderate spatial resolution imagery for mapping properties of riparian vegetation.