A OPEN PIT MINING AÇIK OCAK MADENCİLİĞİ

Table 2. Final results of data processing
Ortomosaic and DEM
Number of Orthomosaic and DEM: 3
Coverage area: 9.361 m2
GSDs:0.02-0.06 m/pix
DEM Resolution: 0.06-0.10 m/pix
Point density: 2.651 points m2
RMSE 0.278682 pix
Some mesh editing has been required after
automated processing to fill some “holes”
and remove boundary errors.
Finally, for each pixel have been assigned
the spatial coordinates (x, y, z) and the truecolor
information (RGB) in order to generate
a fully textured 3D model. (Fig. 5) shows a
complete reconstruction of the quarry
investigated. The use of very dense clouds
requires the decimation of the data points, in
order to create valid DSMs. This technique
works at is best with landforms with a high
surface asperity and with a low vegetation
cover.
5 CONCLUSION
This work was aimed at the optimization
of a method for low altitude photogrammetry
with an UAV multirotor platform, for the
creation of models DSM at consistent
resolution. The proposed method results
reliable, quick, accurate and safe.
This is particularly indicated for
abandoned mine sites, or wherever the
access is limited by safety problems. During
the data post-elaboration process a lot of
information and measures have been carried
out from the calculated geometrical shapes
and landforms models.
The results of this work constitute the
basis for a future development, into a GIS
environment, of a detailed terrain
degradation analysis. The development of
our research will provide the survey to the
other quarries to realize a complete model of
the M.te Porceddu mining area. The data
analyses carried out by the application of
this method constitute the required
background for the elaboration of risk maps
for the planning of a reclamation and
restoration project.
Figure 5. Orthomosaic and DEM of the test area (georeferenced in Gauss-Boaga) with
contour map and over flow vectors.
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