Lunar Surface Topographical
and Illumination Analyses Performed at GRC
Supporting the Design and Operational Planning of Power, Communications,
and Thermal Subsystems in Lunar Surface-Based Landers, Rovers
and Bases
Tools have been developed at NASA’s Glenn Research Center
(GRC) to analyze lunar digital elevation models (DEMs) to enable
the characterization of lunar polar illumination for power and
thermal system design. These tools have been modified to
assess communications antenna visibilities of Earth stations and
have been used in human activity operations planning.
The lunar poles are considered highly attractive sites for unmanned
and manned space activity. Apart from scientific research
and anticipated in situ material resources, a critical reason
for deployment at the lunar poles is the favorable thermal and
solar energy conditions at specific highly illuminated locations. Usually,
spacecraft deployed to lunar sites require power provided by solar
power generation and energy storage, using either batteries or
fuel cell type systems. Most unobstructed locations on the Moon’s
surface have about 15 days of illumination followed by 15 days
of darkness. However, near the poles, it is possible to
have greater than 15 days of illumination with a subdivided illumination-darkness
period due to the combination of shadowing caused by high terrain
and the Sun being very close to the horizon over extended time
periods. A higher number of subdivisions reduces the maximum
shadow time – the worse case design point. This results
in lower deployed power system mass, especially for the usually
heavy energy storage. Typical lunar polar illumination-darkness
cycling appears somewhat random throughout the year, with illumination
being nearly continuous during a number of months and highly variable
for the remaining months. This is quite different from the
92-minute orbit period of the International Space Station or Space
Shuttle, which have a gradually changing, non-subdivided period
of darkness lasting from 0 to 36 minutes.
Representative of the analyses performed so far at GRC are those
documented for the Lunar South Pole region (Ref.
1). Image 1 shows a composite overlay of all available
Clementine spacecraft images of a region near the Lunar South
Pole for a month close to the worse case illumination period. The
large crater in the center is Crater Shackleton on whose rim candidate
lunar base sites have been proposed (Sites A1-A3).
 |
Image
1: Lunar South Pole Sites |
This
animation (size
is 14.5 MB) is the sequential depiction of these overlaid Clementine
images. There are about 12 hours between images. Most
images are from the first month of Clementine spacecraft's imaging
while a few missing images were replaced with analogous ones from
the following month. These second month images were replaced
to enhance the continuity of the animation and are indicated by
the image revolution number appearing out of sequence. Some
dark animation frames are due to complete shadowing of the area
by the horizon terrain. The arrow shows the direction of the
Sun's rays. In order to create the overlays, a complex, individualized
series of image adjustments/alignments had to be performed. The
overlays and animation were performed to support validation of the
illumination analysis tools as well as the digital elevation models.
Elsewhere on the Internet, animations are presented that show images
from the second month of operation (
http://www.psrd.hawaii.edu/WebImg/shadowmovie1.gif ). However,
because there is more illumination during that month and lower resolution
due to the increased spacecraft distance, it is of less interest
than the time period closest to the worse case illumination (the
month prior to the first month of the spacecraft polar imaging operation). Currently,
Clementine has the only publicly available image database. The
SMART-1 image database of images taken from 2005 to 2006 has not
been released yet.
The GRC illumination paper (
Ref.
1) contains technical illumination assessments directly suitable
for use by power, thermal, and communication system designers for
various sites near the Lunar South Pole. These analyses were
performed using digital elevation models. These models (Ref.
2, 3) were created using Earth-based radar which reflected radar
beams off the lunar surface to measure the heights of terrain. Other
more recent and higher resolution, Earth-based radar data has been
collected by JPL, but DEMs are still being developed. The
lunar orbiting spacecraft, Clementine, has obtained laser profiles
of the lunar surface, except near the poles. Other spacecraft,
which will have the potential to provide enhanced lunar terrain
profile data, include Japan's Selene, the United States’ Lunar
Reconnaissance Orbiter (LRO), and India’s Chandrayaan-1. Selene,
which was launched this year, is equipped with a laser ranger and
a stereo camera. The LRO uses a laser altimeter while Chandrayaan-1
uses a terrain mapping radar. Both are scheduled to launch
in 2008. When data becomes available from any of these spacecraft,
it can be utilized with the GRC illumination/topographical software
for enhanced analysis and predictions.
To support mission planners and designers, animators of the lunar
polar area have made generalizations of the lunar horizon and terrain. By
using DEMs, it is possible to get a better impression of how the
terrain appears. The lunar surface, as viewed from a prospective
Shackleton Crater Rim lunar base site (Site A1 in the above image),
was
animated (size
is 7.65 MB) using the radar DEM. The animation was generated
using the ray-traced shadow casting feature of the 3ds Max® modeling
software with 3.5 million polygons, 10 million vertexes, and 2.7
GB memory.
The view has one-hour time steps and covers the entire lunar day
(i.e. one Earth month). The dots are the Sun's position for
the worse month and the best month, based on the Moon’s axis
tilt relative to it’s solar orbital plane. Illuminations/shadows
are based on the best case sun position since the lower Sun position
would result in mostly dark images. The animation begins pointing
at the 0 degrees longitude direction which is toward Malapert Mountain
(and toward Earth). The camera is level with the horizon as
it rotates around tracking the Sun's azimuth and the camera site
location was 50 meters above the Site A1 DEM surface.
The terrain was purposely not smoothed to show the need for higher
resolution data for nearby terrain, which is currently limited to
an average height over 600 meter by 600 meter surfaces. Interpolations
between height points, while aesthetically more pleasing, are not
valid since almost any shape may exist within each surface element. The
value of this dataset and animation is that it shows fairly well-defined,
distant horizon terrain, even at the relatively low resolution of
the DEM. Better height resolution or smaller pixel sizes would not
be significantly beneficial for distant terrain. However,
nearby height surfaces can play a critical role in shadowing/illumination
since small variations in height of very close terrain can easily
block the sunlight or conversely may raise the site out of the shadow. Also,
decreasing the area of height surfaces for nearby shadowing terrain
can reduce the duration of shadows into smaller intervals, rather
than be forced to assume that an entire area is one average height
blocking sunlight for a longer duration.
Analysis of the radar DEM (as shown in
Ref.
1) has shown some erroneous height surfaces, which were not
removed from the animation because it was desired to show the DEM
data in its original state. The erroneous points were identified
by comparing the overlay images with the detailed illumination analysis
results. When a potential site appeared illuminated using DEM analysis,
but the overlay Clementine imagery did not show such illumination,
the DEM data point was considered erroneous. In the animation,
these points appear as extremely steep, oddly jagged terrain points
in relation to adjacent terrain. The raw higher resolution
DEM dataset was averaged by its author (Ref. 2, 3) to remove these
kinds of erroneous points (due to data processing), which apparently
was not entirely successful. Also, inherent DEM height data errors
of +-50 m were not included in the animation since it was desired
to show the DEM data in its original state. These types of
errors are based on the instrument design which broadcasted and
received the radar data and assumes perfectly flat surfaces at a
lunar distance. Finally, note that some regions of the Lunar
South Pole are not visible from Earth (i.e. behind lunar mountains,
in deep craters) and since they are missing in the DEM, it is assumed
they are very low terrain in the animation and, thus, appear as
completely black regions.
Future Work
Future lunar illumination activities will include the following:
1) Acquire/utilize higher resolution radar DEMs
2) Acquire/analyze SMART-1 imagery of the lunar polar regions
for the entire year, especially for the worse case lunar day
3) Acquire/analyze/utilize any relevant polar imagery/topographical
data from future missions
4) Merge Earth-based radar DEMs with stereo-imagery derived
DEMs to address missing height data regions
5) Analyze the northern lunar polar regions
6) Perform a more detailed validation assessment of DEMs using
imagery to eliminate critical erroneous height points
7) Utilize topographical and illumination data for power beaming
using reflected light
8) Assess illumination implications for high latitude rover
paths through valleys
9) Generate worse case average illumination and energy storage
maps for each lunar pole
Conclusions
This webpage has summarized some of the work being done at NASA
GRC in the lunar topographical and illumination area in support
of Constellation activities. The GRC technical paper and animations
documented here are a unique resource for lunar mission planners
and designers to assist in understanding the lunar environment as
well as to obtain detailed data to help better quantify proposed
designs/operations.
References
1) Fincannon,
J, “Lunar South Pole Illumination: Review, Reassessment,
and Power System Implications”, 5th International Energy
Conversion Engineering Conference and Exhibit,
Jun. 2007, AIAA 2007-4700.
2) Margot, J. L., Campbell, D. B., and Slade, M. A., “Digital
Elevation Models of the Moon From Earth-Based Radar Interferometry”,
IEEE Transactions on Geoscience and Remote Sensing, Vol. 38,
No. 2, Mar. 2000, pp. 1122-1133.
3) Margot, J. L., Campbell, D. B., Jurgens, R. F., and Slade,
M. A., “Topography of the Lunar Poles from Radar Interferometry:
A Survey of Cold Trap Locations”, Science, Vol. 284, Issue
5420, Jun. 1999, pp. 1658-1660.