PE&RS November 2004

Cover Image

The image of this month’s Journal cover represents the stages of lidar processing using Merrick’s Advanced Remote Sensing (MARS™) software of a heavily forested area in Leon County, Florida. The first image at the top is the initial raw lidar collection followed by the auto filtered data using MARS™ and lastly the final data after photogrammetric editing and adding the appropriate break lines. The process of developing the topographic data set with lidar and the use of MARS™ showed meandering stream channels, oxbow lakes, and sink holes. This data was obscured in past conventional photogrammetric projects and was not available for the end user. The main goal of Merrick developing the MARS™ software was to overcome file size limitations, improve the efficiency of automated data classification and address when, where and how break lines should be generated for lidar-derived data. The Highlight article provides additional information and benefits of working with lidar-collected data and using the auto filtering routines available with the MARS™ software.

To learn more about this software, please visit http://www.merrick.com/servicelines/gis/mars.aspx or by contacting Gary Outlaw at gary.outlaw@merrick.com.

Highlight Article

1201 Innovation in Lidar Processing Technology
Mark E. Romano

Columns & Updates
1207 Direct Georeferencing — Calibration in Direct Georeferencing: Theoretical Considerations and Practical Results
1211 Grids & Datums — Saint Lucia
1213 Book Review — GIS Fundamentals: A First Text on Geographic Information Systems
1215 Division Activity — Towards a Standard: A Process for Standards in Mapping and the Spatial Sciences
1219 In Memoriam — J. Alfred Stringham
1221 Headquarters News — New Landsat Data Continuity Strategy Announced by the Executive Office of the President
1222 Industry News

Peer-Reviewed Articles

1229 A Comparison of Standard and Hybrid Classifier Methods for Mapping Mortality in Areas Affected by “Sudden Oak Death”
Maggi Kelly, David Shaari, Qinghua Guo, and Desheng Liu

A hybrid classifier performed better than ISODATA and maximum likelihood classifiers in discriminating dead tree crowns from the surrounding healthy forest mosaic in an area with extensive tree disease.

1241 Knowledge-Based Approaches to Accurate Mapping of Mangroves from Satellite Data
Jay Gao, Huifen Chen, Ying Zhang, and Yong Zha

Incorporation of spatial knowledge about mangrove distribution into parametric image classification improves the accuracy of mapping mangroves considerably in a temperate zone.

1249 Exurban Change Detection in Fire-Prone Areas with Nighttime Satellite Imagery
Thomas J. Cova, Paul C. Sutton, and David M. Theobald

Nighttime satellite imagery is explored as a means for monitoring exurban growth in fire-prone areas, and a case study is presented for Colorado.

1259 Integrating JERS-1 Imaging Radar and Elevation Models for Mapping Tropical Vegetation Communities in Far North Queensland, Australia
Catherine Ticehurst, Alex Held, and Stuart Phinn

A new vegetation mapping method based on imaging radar incorporating topographical corrections and repeatability. The study area illustrates a regional scale, all-weather mapping technique.

1267 Filtering Airborne Laser Scanner Data: A Wavelet-Based Clustering Method
T.Thuy Vu and Mitsuharu Tokunaga

A new filtering method based on wavelet analysis of airborne laser scanner point clouds is described and successfully tested in urban areas.

1275 Evaluation of Impervious Surface Estimates in a Rapidly Urbanizing Watershed
Mark Dougherty, Randel L. Dymond, Scott J. Goetz, Claire A. Jantz, and Normand Goulet

Conventional photo-interpreted and satellite-derived estimates of impervious surface are compared with directly measured planimetric reference data in a rapidly urbaning 127 km2 watershed in northern Virginia.

1285 Snail Density Prediction for Schistosomiasis Control Using Ikonos and ASTER Images
Bing Xu, Peng Gong, Greg Biging, Song Liang, Edmond Seto, and Robert Spear

Snail Density, a crutial parameter for the control of schistosomiasis, is predicted from satellite images at various spatial resoltions based on field survey observations.

1295 A Modeling Approach for Estimating Watershed Impervious Surface Area from National Land Cover Data 92
David B. Jennings, S. Taylor Jarnagin, and Donald W. Ebert

A GIS raster approach and planimetric vector data were utilized to derive estimates of watershed impervious surface area from National Lane Cover 92 (NLCD92).

Announcements
1206 Pecora 16 — Global Priorities in Land Remote Sensing
1212 ASPRS 2005 Annual Conference— Geospatial Goes Global: From Your Neighborhood to the Whole Planet

Departments
1220 New Member List
1221 Region of the Month
1225 Who’s Who in ASPRS
1226 Sustaining Members
1228 Advertiser Index
1240 Instructions to Authors
1258 Forthcoming Articles
1308 Calendar
1309 Classifieds
1311 Bookstore
1316 Professional Directory
1319 Membership Application

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