VOLUME 71, NUMBER 8
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
Cover Image
Featured on the cover are color
composite images of an experiment
forest near Howland,
Maine from Jet Propulsion
Laboratory’s Airborne Multi-
Angle Imaging Spectrometer
(AirMISR) (top) and NASA
Goddard’s Laser Vegetation Imaging
Sensor (LVIS) (bottom).
AirMISR is a four channel digital
camera that flies on an ER-2 aircraft
at 20 km altitude. AirMISR’s
single camera is swiveled to successive
look angles to complete
a desired set of multi-angle images with 27.5m pixel resolution. The false
color image used near-infrared, red, and green channels from the 45.6o
forward looking camera displayed as red, green, and blue, respectively. LVIS
is an airborne laser altimeter system that acquires closely spaced 20 m
footprint waveform information. The heights of waveform energy deciles of
100%, 50% and 25% were displayed as red, green and blue, respectively.
The area shown has mature forest stands, different aged clear cuts and other
forest harvesting treatment. Dark green areas on the AirMISR image are
mature conifer forest, red areas are deciduous forest or grassy areas, light
green or blue areas are non vegetated areas. The LVIS image shows no or
short vegetation as black, taller mature forest stands as white and intermediate
tones indicate forest structure differences. On August 31, 2003, LVIS
obtained data at the same region. Images were acquired in August 2003.
For more information, contact Jon Ranson, NASA GSFC, +1 301-614-6650
A new method is presented to dynamically generate multi-resolution TIN models
quickly with higher accuracy.
927
Examining Lacunarity Approaches in Comparison with Fractal and
Spatial Autocorrelation Techniques for Urban Mapping Soe W. Myint and Nina Lam
An evaluation and comparison of two lacunarity
methods, fractal triangular prism and spatial
autocorrelation, and original spectral band approaches
in classifying urban images.
A monthly data set of the fractional green vegetation
cover for the conterminous United States was evaluated
by land cover type for regional and seasonal
variation.
A review of existing algorithms to compare spatial
patterns and development of a new approach based
on the expanding window approach.
Announcements
897 PE&RS Special Issue Call for Papers— Forestry Lidar Applications
946 PE&RS Special Issue Call for Papers —“
Cloud-prone and Rainy areas
Remote Sensing (CARRS)”
946 PE&RS Special Issue Call for Papers — “Web
and Wireless GIS”