PE&RS October 2004

Cover Image

The series of images on the cover demonstrate a segmentation-based approach to filling gaps in Landsat Enhanced Thematic Mapper Plus (ETM+) Scan Line Corrector (SLC)-off imagery. The top image is a Landsat 5 image of an agricultural area in South Dakota acquired on August 9, 2000. This image was used to generate the segment boundaries shown in yellow. The second image is a Landsat ETM+ SLCon image of the same area acquired on August 4, 2001, with gaps simulated and segment boundaries generated from the Landsat 5 image overlaid. The third image is the simulated Landsat ETM+ SLC-off image with gaps filled using coincident spectral data contained within the segment boundaries. This is one of the methods currently being evaluated by U.S. Geological Survey EROS Data Center scientists to fill the gaps in SLC-off imagery. This month’s Highlight article describes this segmentation-based method in detail. For additional information on Landsat ETM+, please visit http://landsat7.usgs.gov.

Highlight Article

1109 Filling Landsat ETM+ SLC-off Gaps Using a Segmentation Model Approach [(Adobe .pdf 432kb) (Higher resolution version - better images Adobe .pdf 3.1Mb)]
Susan Maxwell

1001 Geospatial Informatics for Management of a New Forest Disease: Sudden Oak Death
Maggi Kelly, Karin Tuxen, and Faith Kearns

Columns & Updates
1113 Grids & Datums — Republic of Zambia
1115 Headquarters News — ASPRS Releases Guidelines on Vertical Accuracy Reporting Requirements for Lidar-Derived Elevation Data
1118 Industry News

Foreword

1129 Special Issue on InSAR Application
Hui Lin and Mingsheng Liao

Peer-Reviewed Articles

1131 A Quantitative Measure for the Quality of InSAR Interferogram Based on Phase Differences
Zhilin Li, Weibao Zou, Xiaoli Ding, Yongqi Chen, and Guoxiang Liu

A focused approach for a robust quantitative measure for the quality of interferograms using the “sum of phase differences”.

1139 Automatic Registration of InSAR Data Based on Least-Square Matching and Multi-Step Strategy
Mingsheng Liao, Hui Lin, and Zuxun Zhang

An automatic approach based on multi-step matching to improve the registration of SLC images, strategy in reliability, accuracy, and computation cost.

1145 Application of SAR Interferometry on DEM Generation of the Grove Mountains
Dongchen E., Chunxia1 Zhou, and Mingsheng Liao

An application to derive DEM from InSAR data in east Antarctica and comparing the InSAR DEM with the field survey data.

1151 Ground Subsidence Monitoring in Hong Kong with Satellite SAR Interferometry
X.L. Ding, G.X. Liu, Z.W. Li, Z.L. Li, and Y.Q. Chen

Application studies including an assessment of the performance of InSAR in the environment of Hong Kong, especially the temporal decorrelations of SAR images and the potential atmospheric effects on InSAR measurements.

1157 Applying SAR Interferometry for Ground Deformation Detection in China
Chao Wang, Hong Zhang, Xinjian Shan, Jin Ma, Zhi Liu, Suozhonh Cheng, Guonian Lu, Yixian Tang, and Ziqi Guo

Applications for detecting ground deformation with SAR Interferometry in two cases: the 1998 Zhangbei-Shangyi Earthquake in Northern China, and the urban subsidence in Suzhou City from 1993 to 2000.

1167 Landslide Monitoring in the Three Gorges Area Using D-INSAR and Corner Reflectors
Y. Xia, H. Kaufmann, and X.F. Guo

Stable artificial corner reflectors were used for DInSAR applications with large geometric baselines and long temporal baseline demonstrating successful result for the Three Gorges area of China.

1173 GPS and GIS Assisted Radar Interferometry
Linlin Ge, Xiaojing Li, Chris Rizos, and Makoto Omura

GPS and GIS can assist interpreting the subsidence data from Radar interferometry, improving the accuracy of geocoding of SLC images, and delimiting the disturbance of atmospheric heterogeneity.

1179 Detection of Rapid Erosion in SE SPAIN: A GIS Approach Based on ERS SAR Coherence Imagery
Jian Guo Liu, Philippa Mason, Fiona Hilton and Hoonyol Lee

Multi-temporal interferometric SAR (InSAR) coherence imagery can be used to detect rapid erosion in semiarid regions, but the detection is not exclusive; a GIS based, multi-data approach has produced more definite results.

Announcements
1128 ASPRS 2005 Annual Conference — Geospatial Goes Global: From Your Neighborhood to the Whole Planet
1138 Call for Papers — The 20th Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery for Resource Assessment

Departments
1115 Region of the Month
1116 New Member List
1124 Who’s Who in ASPRS
1125 Sustaining Members
1127 New Sustaining Member
1127 Advertiser Index
1150 Instructions to Authors
1166 Forthcoming Articles
1178 Calendar
1186 Classifieds
1188 Bookstore
1192 Professional Directory
1195 Membership Application

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