PE&RS September 2008

This month’s cover shows the wealth of information that can be extracted from a single light detection and ranging (lidar) collection. This image, created by using only lidar data over downtown Sioux Falls, South Dakota, is a multi-band combination of bare earth elevation, height above bare earth, laser return intensity and non-bare earth slope. Using these combinations of derivatives from the raw data we can create pseudo-imagery that can be used to extract information such as bare earth topography, vegetation and structural information. It is this wealth of information that can be achieved by using lidar technology that is prompting the USGS to work with many partners in the development and hopeful creation of a future National Lidar Dataset. This month’s Highlight article discusses the need for a National Lidar Dataset, and how the USGS is beginning to take the lead in the creation of such a valuable remote sensing product. For more information on this image or the National Lidar Dataset, contact Jason Stoker, Physical Scientist, U.S. Geological Survey, jstoker@usgs.gov, or visit our USGS Center for Lidar Information Coordination and Knowledge page (http://lidar.cr.usgs.gov).

Highlight Article
1066 The Need for a National Lidar Dataset (Adobe PDF 783Kb)
Jason Stoker, David Harding, and Jay Parrish

Columns & Updates
1069 Grids and Datums — Sakhalin Island (Adobe PDF 722Kb)
1075 Mapping Matters
1077 Book Review — Image Processing for Remote Sensing (Adobe PDF 563Kb)
1082 Headquarters News (Adobe PDF583Kb)
1083 Student News (Adobe PDF 599Kb)
1084 Industry News

Announcements
1078 Pecora 17 Conference

Departments
1072 New Member List
1076 Certification List
1080 ASPRS Member Champions (Adobe PDF 823Kb)
1081 Reflection of the Past (Adobe PDF 346Kb)
1082 Region of the Month
1088 Who’s Who in ASPRS
1089 Sustaining Members
1091 Instructions for Authors
1128 Forthcoming Articles
1158 Calendar
1069 Classifieds
1170 Professional Directory
1171 Advertiser Index
1172 Membership Application

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

1093 High Resolution Elevation Data Derived from Stereoscopic CORONA Imagery with Minimal Ground Control: An Approach Using Ikonos and SRTM Data
Nikolaos Galiatsatos, Daniel N. M. Donoghue, and Graham Philip

A methodology to create a high quality DEM from CORONA imagery using horizontal ground control derived from Ikonos space imagery and vertical ground control from map-based contour lines.

1107 Optimizing the High-Pass Filter Addition Technique for Image Fusion
Ute G. Gangkofner, Pushkar S. Pradhan, and Derrold W. Holcomb

An upgraded methodology for High-Pass adding-based image fusion and comparison of results with wavelet-based image fusion results using spectral and spatial metrics.

1119 Photogrammetric Modeling of Linear Features with Generalized Point Photogrammetry
Zuxun Zhang, Jianqing Zhang, Yongjun Zhang, and Hongwei Zhang

Modeling of space linear features without knowing the exact conjugacy between Image features and/or the correspondence between space and image features.

1129 A Photogrammetric Correction Procedure for Light Refraction Effects at a Two-Medium Boundary
Toshimi Murase, Miho Tanaka, Tomomi Tani, Yuko Miyashita, Naoto Ohkawa, Satoshi Ishiguro, Yasuhiro Suzuki, Hajime Kayanne, and Hiroya Yamano

A correction procedure for light refraction effects at a two medium boundary based on the stereo view of underwater objects to estimate underwater topography using photogrammetry.

1137 Significance of Altitude and Posting Density on Lidar derived Elevation Accuracy on Hazardous Waste Sites
María J. García-Quijano, John. R. Jensen, Michael E. Hodgson, Brian C. Hadley, John B. Gladden, and Lewis A. Lapine

Evaluation of the vertical accuracy of two lidar-derived elevation datasets acquired from different altitudes.

1147 Shaping Polyhedral Buildings by the Fusion of Vector Maps and Lidar Point Clouds
Liang-Chien Chen, Tee-Ann Teo, Chih-Yi Kuo, and Jiann-Yeou Rau

A scheme for the shaping of polyhedral buildings by the fusion of vector maps and lidar point clouds.

1159 Object-based Classifi cation of High Resolution SAR Images for Within Field Homogeneous Zone Delineation
Jiangui Liu, Elizabeth Pattey, and Michel C. Nolin

An object-based fuzzy k-means classifi cation approach for homogeneous zone delineation within agricultural fields using high spatial resolution SAR data.