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STL's Clutter Data has been
developed for the Radio Frequency (RF) Propagation
environment to help engineers refine their signal loss
prediction models according to the characteristics of
the underlying terrain and ground cover. STL uses recent
high resolution satellite imageries that is the best
source source available in the market. For rural areas,
STL employs supervised classification techniques. For
all rural areas, STL employs manual photo
interpretation. This is the only reliable method
consistently distinguishing urban zones according to
their morphology and building density.
In today's
competitive market, the wireless telecommunication
industry has been driven by the need to provide better
service coverage while reducing infrastructure costs.
The solution lies in
determining the optimum location of mast.
The resolution of our clutter data is contingent on the request
of our clients and this in turn depends on the resolution
of the source imagery.
Resolution refers to the cell size or inter-cell
spacing in raster grids or the pixel size or inter-pixel
spacing of an image as in a satellite image. However,
with the launch of Nigeria's NigeriaSAT1 remote sensing
satellite, we now have access to 32m resolution
source imageries that can be purchased right here in
Nigeria with our own local currency
“NAIRA” . |
