Cl PA 2003 XIX th International Symposium, 30 September - 04 October, 2003, Antalya, Turkey
As we said above the use of these filters is not limited to
photograms used in this work and connected with this site. We
must mention the work done by J. Del Olmo, who took oblique
photographs of the site at Clunia. These photograms are not
only easier and cheaper to obtain but can be done repeatedly
during the year to highlight seasonal differences.
2. MICRO-RELIEFS DETECTION
From an observation of the photogrammetric model, it is clear
that some terrain elevations are not of natural origin. Photo
interpretation allows us to correlate these elevations with buried
ruins, which in some case are quite visible in the photograms
because of small colour variations. Because of the probability
of finding hidden ruins where natural morphology has been
changing, it is worthwhile creating a photogrammetric DTM.
2.1 Automatic DTM by autocorrelation
The Clunia plateau presents only small altitude variations, due
to:
• natural orography, which has origin from the
geological process of sedimentation and erosion;
• agriculture that require the formation of pits and
furrows, boundary and field delimitations,
accumulation of stones, terrain levelling, etc.;
• rubble piles.
These altitude variations are small, and it is not always possible
to establish with certainty their origin without on-site checks.
However, the analysis of the photogrammetric model can give
information and measures that are difficult to acquire with the
traditional topographic systems. The main advantages of the
photogrammetry for archaeologists are:
• In a stereoscopic view the observer can quickly
estimate the altimetry; this allows the photo
interpreter to read not only an image, but a three-
dimensional model.
• The measurement (automatic or not) of a great
number of points in the photogrammetric model is
quick, fast and cheap. The products are profiles of the
terrain and in some case digital terrain models
(DTM).
Automatic DTMs can be computed using auto-correlation
techniques (Kraus, 1993). The case of Clunia plateau is optimal
to perform automatic DTM estimation by image correlation,
because of the absence of trees, buildings and shadows.
We have computed three DTMs of Clunia hill:
• a global DTM of the hill, by using traditional
photogrammetric techniques with Galileo Siscam
Stereobit20 analytical stereoplotter; the photograms
were taken at relative altitude of 2800 m with 158
mm focal length;
• an automatic DTM of the central area of the plateau,
with 2 m resolution, by GeoSoft GCarto digital
stereoplotter; the photograms were taken at relative
altitude of 600 m with 158 mm focal length;
• an automatic DTM of the area between Casa de
Taracena and Termas de Los Arcos, with 1 m
resolution.
Better results can be achieved only using airborne laser
scanning technique, and we hope that this will be possible in the
future.
Figure 1. The DTM of Clunia hill made with traditional
photogrammetric techniques.
Figure 2. The DTM computed by autocorrelation on the central
area of the plateau. Some undulations (or micro
reliefs) are clearly non-natural. The white zones
represent lack of data; this is due to the
photogrammetric software used for DTM estimation.
DTM validation is in this case is performed only as internal
reliability, observing the RMS of the estimated DTM points
provided by the software GCarto.
The image in fig. 3 represents these RMS values. The biggest
errors are in the east zone, and are produced by GCarto for
unknown motives. Thus the DTM is not useful in this zone.