PE&RS December 2005

The cover of this issue presents Advanced Spaceborne Thermal Emission

and Reflection Radiometer (ASTER) imagery of New Orleans, Louisiana before and after Hurricane Katrina passed near the city on August 29, 2005. The upper image is a mosaic of data acquired in April and September 2000. The lower image was collected on September 13, 2005, after the hurricane caused breaches in levees, with resultant extensive flooding in the low-lying municipality. Bands 1, 2, and 3 covering the visible and near-infrared portion of the spectrum were used to create this simulated natural color representation. Portions of the city subjected to flooding appear dark blue-grey in the September 13 image within distinct boundaries reflecting the topography and location of canals. Further information regarding this image and the ASTER Science Team’s involvement with the United States Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS) Emergency Response coordinators in hazards applications is provided in the Highlight article on page 1346 of this issue.

Highlight Article
1346 ASTER and USGS EROS Disaster Response: Emergency Imaging After Hurricane Katrina
(Adobe PDF 744Kb)
Kenneth A. Duda and Michael Abrams

Columns & Updates
1352 Grids and Datums — Dominican Republic (Adobe PDF 113Kb)
1354 Headquarters News (Adobe PDF 248Kb)
1357 Industry News
1398 Member Champions

Announcements
1350 PE&RS Special Issue Call for Papers— “Cloud-prone and Rainy areas Remote Sensing (CARRS)”
1353 ASPRS 2006 Annual Conference— Prospecting for Geospatial Information Integration

2005 Annual Index
1433 Subject Index (Adobe PDF 151Kb)
1451 Author Index (Adobe PDF 91Kb)

Departments
1351 New Member List
1354 Region of the Month
1362 Sustaining Member Listing
1364 Certification List
1374 Instructions to Authors
1386 Forthcoming Articles
1416 CalendarCalendar
1422 Who’s Who in ASPRS
1460 Classifieds
1461 Professional Directory
1463 Advertiser Index
1464 Membership Application

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

1365 Probing the Relationship Between Classification Error and Class Similarity
Ola Ahlqvist and Mark Gahegan

A method that predicts land-cover classification errors by using semantic similarity metrics derived from land-cover taxonomy definitions.

1375 Automatic Camera Placement in Vision Metrology Based On A Fuzzy Inference System
Mohammad Saadatseresht, Farhad Samadzadegan, and Ali Azizi

Implementing a fuzzy-based camera placement approach in vision metrology for improving network accuracy by adding additional exposures where the 3D simulated CAD models of an object are not available.

1387 An Evaluation of Remote Sensing-derived Landscape Ecology Metrics for Reservoir Shoreline Environmental Monitoring
Mark W. Jackson and John R. Jensen

The ability of common landscape metrics to indicate general shoreline health is examined by comparing varous methods of metric combination to expert opinion.

1399 Automatic Segmentation of High-resolution Satellite Imagery by Integrating Texture, Intensity, and Color Features
Xiangyun Hu, C. Vincent Tao, and Björn Prenzel

High-resolution satellite imagery can be automatically segmented into different regions requiring no a priori knowledge of the image content.

1407 Acquisition of Through-water Aerial Survey Images: Surface Effects and the Prediction of Sun Glitter and Subsurface Illumination
Richard Mount

Simple methods are presented to assist mission planners to forecast sun glitter and subsurface illumination when capturing imagery for shallow water habitat mapping.

1417 Derivative Analysis of AVIRIS Data for Crop Stress Detection
Lee Estep and Gregory A. Carter

Spectral derivatives and band ratios based on AVIRIS images data was used to identify nitrogen deficiency stress ina Nebraska cornfield.

1423 A Methodology for Spatial Uncertainty Analysis Of Remote Sensing and GIS Products
Guangxing Wang, George Z. Gertner, Shoufan Fang, and Alan B. Anderson

Methods for spatially identifying the sources of uncertainty in remote sensing and GIS products, modelling uncertainty accumulation and propogation to maps.