VOLUME 75, NUMBER 2
PHOTOGRAMMETRIC ENGINEERING & REMOTE
SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY
AND REMOTE SENSING
A stereo image pair acquired by the Mars Reconnaissance Orbiter’s High-
Resolution Imaging Science Experiment, or HiRISE,
was used to create this spectacular anaglyph revealing
layers exposed within Candor Chasma, a large canyon
in Valles Marineris. The sedimentary layers, made from
sand to dust-sized particles that were transported by
air or water, were subsequently eroded, most likely
by the wind. One of the most eye-catching aspects
of this scene is the intricate swirls formed by these
layers, which have been folded into the 3-dimensional
patterns that we see today, possibly due to gravitational
slumping. The stereo imaging is required to
recognize the structural folding given the complex
erosional surface. This anaglyph is one of 362 recently
released by the HiRISE team available through their
web site, http://hirise.lpl.arizona.edu. The archive of
HiRISE image products are accessed through the IAS
Viewer, developed by ITT-Visual Information Solutions
in Boulder, CO. The IAS Viewer, taking advantage of the
JPEG2000 image streaming technology (JPIP), enables
fast and effi cient Internet access to the HiRISE images
that can be as large as 20,000 x 126,000 pixels. This
anaglyph, created from observations PSP_001984_1735
and PSP_001918_1735, is best viewed with 3D anaglyph glasses. If you need a pair, visit http://www.nasa.gov/mission_pages/stereo/sun/3D_Glasses.html.
The use of last pulse instead of first pulse laser scanner data
can improve the results of automatic building detection especially
by decreasing the number of classification errors in
the surroundings of the buildings and the number of false
detections.
A multivariate texture measure by the multivariate variogram
for the multispectral imagery which characterizes the multivariate
spatial autocorrelation (spatial variability) between all
the bands for image classification.
A Remote Sensing and GIS-assisted Spatial Decision Support
System for Hazardous Waste Site Monitoring developed to
improve hazardous waste site management.
Research toward detecting the pre-visible symptoms of grub
feeding in turfgrass using spectrometer data and multispectral
aerial imagery to facilitate site-specific management of
these pests.