PE&RS February 2007
VOLUME 73, NUMBER 2
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
This month’s cover image, a digital elevation model (DEM) covering part of
the Angelo Costal Range Reserve in California, is provided
by Qi Chen from the Center for the Assessment and Monitoring
of Forest Resources at UC, Berkeley. The DEM was
produced from airborne lidar data using a software called
Tiffs (Toolbox for LiDAR Data Filtering and Forest Studies).
The raw lidar data have a total size of 2 Gigabytes and the
pulse density is about 5 points per m2. The site covers an
area of 35 square kilometers.
In an hour, Tiffs accomplished these tasks: 1) filtering the
point clouds and separating ground returns and canopy
returns, 2) generating digital elevation model (DEM), digital
surface model (DSM), and canopy height model (CHM), 3)
isolating tree crowns and extracting individual tree height,
crown area, and trunk height. The output models (DEM,
DSM, and CHM) have a cell size of 2m by 2m. The software
was run without tuning individual parameters and the images
shown were produced without any manual editing
of the point cloud.
The lidar data was courtesy of NCALM at UC, Berkeley.
Highlight Article
109 Airborne Lidar Data Processing
and Information Extraction (Adobe PDF 708Kb)
Qi Chen
Columns & Updates
113 In My Opinion...(Adobe PDF 111Kb)
115 Grids and Datums— Tunisian Republic (Adobe PDF 127Kb)
117 Mapping Matters
127 Industry News
Announcements
209 Call for Papers — Artificial
Intelligence in Remote Sensing
Departments
118 New Member List
118 Region of the Month
119 Certification List
120 APPLANIX – DIRECT GEOREFERENCING SOLUTIONS (Adobe PDF 501Kb)
122 NOVATEL’S PRECISE THINKING MAKES IT POSSIBLE (Adobe PDF 343Kb)
124 ASPRS Member Champions (Adobe PDF 106Kb)
125 INDUSTRY-WIDE LIDAR DATA WAREHOUSE ANNOUNCEMENT (Adobe PDF 325Kb)
128 Who’s Who in ASPRS
129 Sustaining Member List
131 Instructions to Authors
164 Forthcoming Articles
174 Calendar
209 Classifieds
210 Professional Directory
211 Advertiser Index
212 Membership Application
Peer-Reviewed Articles (Click the linked titles to see the
full abstract)
133 Geometric Correction and Digital Elevation Extraction
Using Multiple MTI Datasets
Jeffrey A. Mercier, Robert A. Schowengerdt, James C. Storey,
and Jody L. Smith
Concepts from Photogrammetric stereo pair elevation extraction
have been extended to utilize three or more imagery
collects and to provide geometric correction information for a
pushbroom sensor.
143 An Experiment Using a Circular Neighborhood to
Calculate Slope Gradient from a DEM
Xun Shi, A-Xing Zhu, James Burt, Wes Choi, Rongxun Wang,
Tao Pei, Baolin Li, and Chengzhi Qin
Research comparing the slope gradient values calculated
using a circular neighborhood with the results from the traditional
square neighborhood used in a focal operation on a
raster layer.
155 Comparison of Atmospheric Correction Methods in
Mapping Timber Volume with Multitemporal Landsat
Images in Kainuu, Finland
I. Norjamäki and T. Tokola
The estimation of forest characteristics from an atmospherically
corrected Landsat EMT+ mosaic.
165 Estimation of Fuzzy Error Matrix Accuracy Measures
Under Stratified Random Sampling
Stephen V. Stehman, Manoj K. Arora, Teerasit Kasetkasem,
and Pramod K. Varshney
The formulas for estimating accuracy measures derived from a
fuzzy error matrix when stratified random sampling is implemented
to obtain the reference data.
175 Filtering Airborne Laser Scanning Data with Morphological
Methods
Qi Chen, Peng Gong, Dennis Baldocchi, and Gengxin Xie
A new method for filtering laser scanning data based on morphological
methods without slope restrictions, and a method to
fill in missing data voids.
187 A Rigorous Model for Spaceborne Linear Array Sensors
Daniela Poli
A rigorous sensor model for the orientation of pushbroom
sensors with along-track stereo viewing and the results obtained
in various applications.
197 Combining Decision Trees with Hierarchical Objectoriented
Image Analysis for Mapping Arid Rangelands
Andrea S. Laliberte, Ed L. Fredrickson, and Albert Rango
Multi-resolution image segmentation was combined with classification
trees for mapping shrubs and grasses with QuickBird
imagery.
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