PE&RS September 2006

Applanix provided this month’s cover image, demonstrating the capabilities of the DSS 322 Digital Sensor System. The orthomosaic of the University of Kentucky Campus in Lexington, KY, USA was generated at a ground sampling distance of 18cm using Inpho Ortho Box with USGS 1/3” National Elevation Dataset DEM. Navigation data was post processed using Applanix Airborne POSPac software. The imagery was captured by Photo Science Inc. on January 12th, 2006, using a 60mm lens.

The DSS Digital Sensor System is a ready-to-use, directly georeferenced, medium-format, airborne digital camera system and has proven to be the digital imaging answer for airborne remote sensing applications that require a rapid, easy to use and cost-effective solution. The DSS 322 is comprised of an integrated POSTrack Flight Management and Direct Georeferencing System, a medium format True Color and CIR Digital Imager with Yaw stabilized Azimuth mount, a ruggedized data logger and pressurized drive, and a complete suite of post-processing software for image development and direct geoerferencing. A mapping-quality alternative to large-format digital cameras, the DSS is designed to generate high-quality color and CIR directly georeferenced digital imagery that produces an accurate and radiometrically consistent product with 0.05m to 1m GSD.

For more information, contact Applanix at 1-905- 709-4600, info@applanix.com, or www.applanix. com.

Highlight Article
977 Emergency Response— Remote Sensing Evolves in the Wake of Experience (Adobe PDF 3.42Mb)
Joe Hutton and Anthony Melihen

Special Section
985 10-Year Remote Sensing Industry Forecast (Adobe PDF 4.25Mb)

Columns & Updates
1001 Grids and Datums— Elevations in South Louisiana (Adobe PDF 1.48Mb)
1005 Book Review — Learning to Think Spatially (Adobe PDF 819Kb)
1007 In Memoriam — Jay W. Feuquay
1009 Headquarters News— Certification Application Fee Increase (Adobe PDF 104Kb)
1011 Industry News

Announcements
981 Call for Papers — Remote Sensing Data Fusion
982 ASPRS/MAPPS Specialty Conference
984 Call for Papers — Web and Wireless GIS
1091 ASPRS 2007 Annual Conference

Departments
1006 New Member List
1008 ASPRS Member Champions (Adobe PDF 65Kb)
1009 Region of the Month - Mid South Region (Adobe PDF 104Kb)
1009 New Sustaining Member— Pixxures, Inc. (Adobe PDF 104Kb)
1010 Certification List
1012 Who’s Who in ASPRS
1013 Sustaining Member List
1015 Instructions to Authors
1036 Forthcoming Articles
1060 Calendar
1093 Classifieds
1094 Professional Directory
1095 Advertiser Index
1096 Membership Application

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

1017 Zoom-Dependent Camera Calibration in Digital Close-Range Photogrammetry
C.S. Fraser and S. Al-Ajlouni

A photogrammetric calibration process for consumer-grade digital cameras is proposed whereby a single image coordinate correction function is determined for the full zoom/focus range of the camera.

1027 A 16-year Time Series of 1 km AVHRR Satellite Data of the Conterminous United States and Alaska
Jeff Eidenshink

Monitoring vegetation condition with AVHRR data during a 16-year time series with consistent methodologies.

1037 Benthic Habitat Mapping in Tropical Marine Environments Using QuickBird Multispectral Data
Deepak Mishra, Sunil Narumalani, Donald Rundquist, and Merlin Lawson

The utility of Quickbird multispectral data for identifying and classifying tropical-marine benthic habitats

1049 Automatic Registration of Airborne Images with Complex Local Distortion
Desheng Liu, Peng Gong, Maggi Kelly, and Qinghua Guo

Automatic registration of airborne images with complex local distortion is approached by combining area-based methods with local transformation models.

1061 Orientation of Ground-level Motion Imagery Using Building Facades
Anthony Stefanidis, Charalampos Georgiadis, and Peggy Agouris

An innovative approach to dependent orientation allowing for propagating orientation information within sequences of ground-level imagery.

1073 A User-customized Web-based Delivery System of Hypertemporal Remote Sensing Datasets for Australasia
Michael Schmidt, Edward A. King, and Tim R. McVicar

Benefits from recent advances in information technologies are combined to create a new interactive and dynamic satellite data processing service.

1081 Quantifying DEM Uncertainty and Its Effect on Topographic Parameters
Suzanne P. Wechsler and Charles N. Kroll

A methodology to quantify uncertainty in digital elevation data and derived parameters: slope, upslope, contributing area, and topographic index.