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.