Fig. 2: Perspective view from the South of the lunar Humboldtianum basin showing a section of the terrain model from Fig.1.
The inner and outer basin rings have diameters of approximately 270 and 500 km, respectively. True heights vary by as much
as 6 km and are exaggerated in this view. Axes have arbitrary units.
Heights vary from -4500 m to +2000 m. The Humboldtianum
basin displays a clear double-ring structure difficult to see in
image data alone (Fig. 2). The basin has a depth of 6000 m
below the lunar reference sphere (1737.4 km) and thus
represents one of the most pronounced regional depressions on
the Moon. In contrast, Mare Crisium exhibits voluminous
basalt fillings. The terrain model indicates that the basin is
slightly elliptical in shape, indicating, possibly, that the basin
was formed by an oblique impact. Several large (>100 km-
diameter) craters are visible in the terrain model.
The Clementine terrain model of Mare Orientale extends from
20°S-10°N to 88°W-90°W. It has a grid spacing of 200 m and
a height resolution of better than 50m (Figs. 3, 4). Preliminary
analysis of the terrain show a variety of surface features:
depressions associated with lava ponds, isolated volcanic
constructs, and steep slopes towards the center of Orientale up
to 1500 m per 5000 m. Furthermore, a number of impact
craters are included in the terrain model that show much
morphologic detail for studies of depth, diameter, rim height
and impact ejecta patterns.
5. COMPARISON WITH LASER ALTIMETER DATA
The Clementine laser altimeter obtained measurements of the
slant range between the spacecraft and the lunar surface from
spacecraft altitudes of 640 km or less (Nozette et al., 1994;
Zuber et al., 1994). Laser pulses were emitted once every 0.6
second. 19% of the shot returns were detected and resulted in a
total of 114,000 altitude measurements.
Altitude profiles along orbits are available, as well as an
interpolated 2?x2? global raster terrain model. However, due to
high spacecraft altitude, there is no data for lunar latitudes
higher than 75?N or 75?S. For this study, the global data set
was reprojected to match the stereo terrain model in terms of
618
map projection parameters and scale (Fig. 5). It is obvious that
the resolution of the laser altimeter dataset is inferior to that
of the terrain model from the stereo images. Furthermore, gaps
in the dataset exist. Also, the laser altimeter data appears noisy
in rugged terrain due to the difficulties in detecting reflected
laser signals when these are scattered. In contrast, it is obvious
that the stereo model is constrained by illumination and
viewing conditions and becomes noisy near the lunar limb and
the terminator.
6. SUMMARY AND DISCUSSION
The availability of digital image data and digital
photogrammetric techniques has greatly improved our means to
recover topographic information from spacecraft stereo image
data. These datasets represent new and powerful tools for
geologic studies of the large lunar impact basins.
The study emphasizes that imaging sequences have to be
planned carefully in terms of viewing geometry and lighting
conditions if photogrammetric analyses are to be carried out.
Orbit, camera pointing and imaging sequences have to be
planned with the goal of achieving good image base-to-height
ratios. However, lighting conditions are also important.
Unlike Earth, albedo varies very little on the lunar surface, and
there is little texture in images that were obtained at high Sun
angles, therefore. Hence, this suggests that imagery should be
obtained at low Sun angles, so long as cast shadows are
avoided. Cast shadows pose a particular problem on lunar
imagery because of the lack of an atmosphere and little
scattering of light. In addition, we experienced that it is
important for possible stereo partner images to be obtained
under similar lighting conditions, as otherwise the automatic
matching will fail. In addition, either good control point-,
good spacecraft trajectory and camera pointing data, or both
are needed for photogrammetric analysis.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B4. Vienna 1996