Spatial Technologies – Nigeria’s Leading Geographical Information Systems Company Continues To Innovate

Spatial Technologies – Nigeria’s Leading Geographical Information Systems Company  Continues To Innovate

Hello people, this is very sweet and we have to update this post.

 

One of our contributors asked a question if STL used Google or Yahoo maps

 

Their map doesn’t seam to be based on google maps. is it?

 

The team of STL responded:

No, the map is not based on Google map. Spatial Technologies Ltd (STL) (www.spatialtechnologiesltd.com) -Nigeria’s foremost GIS solution provider and supplier of accurate digital maps supplied the entire map data used to develop LagosLocation.com. STL specializes in developing maps and geospatial solutions for the Nigerian market

 

This means they did it and this is a cool IP. Catch up the conversation here. We think this makes the whole thing interesting as Nigerian government can license the technology from STL which has full control of the codes than use ‘take it or leave it’ model from Google or Yahoo or even Bing. This company needs to push this message because they are seating on something  really important.

 

Now, the old post before the update

 

Spatial Technologies Ltd (STL) is Nigeria’s foremost GIS (geographical information systems) solution provider and supplier of accurate digital maps and GIS data.  They specialize in developing geospatial databases about Nigeria for the Nigerian market. Today, with offices in Lagos and UK, they stand on the threshold of solid expansion and opportunity in the industries they serve. And they are investing the resources that will help enable that growth.

 


STL is a company of thinkers, innovators, and dreamers. We are developers, strategists and researchers. We are leaders. Talk to any of us, and you’ll find we are not only passionate about digital maps, we are also excited about where GIS solutions and spatial technologies can take us in Nigeria. That passion has established STL as a leader in this dynamic arena in Nigeria.

 

Check out what they did on clutter and land use

Clutter data is classified as the man-made and natural features that may impair radio frequency propagation by reflection, diffraction, absorption, or scattering of the transmission waves. Our Clutter data production is derived from the latest satellite imagery, not from paper maps. Our remote sensing specialists employ extensive ancillary ground truth data to ensure the highest reliability of our clutter classifications.

 

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”

Clutter and Land Use
Clutter data is classified as the man-made and natural features that may impair radio frequency propagation by reflection, diffraction, absorption, or scattering of the transmission waves. Our Clutter data production is derived from the latest satellite imagery, not from paper maps. Our remote sensing specialists employ extensive ancillary ground truth data to ensure the highest reliability of our clutter classifications.
 

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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”

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