CloudRF has three types of clutter data to improve the accuracy of your planning.
You can enable global ‘Land Cover’ data, use LIDAR high resolution city data or if all else fails, upload your own obstacles as a Google Earth KML.
To enhance the terrain data with man made obstacles such as buildings and wind turbines there are two clutter layer options available. You can either choose to simulate random clutter at a set height eg. 8m for houses in a suburban area, or upload your own defined ‘precision’ clutter as a KML layer (Polygon,Polyline,Points all ok). Once loaded you can use the precise clutter by selecting ‘Own clutter’ in the interface.
Land Cover data
The system’s global land cover clutter has 17 bands representing different obstacle densities and nominal heights (Trees, Vegetation). These can be enabled to enhance accuracy in forests for example. dB/m attenuation values are based upon ITU-R P.833-7.
|LIDAR terrain, no Land Cover|
|LIDAR terrain enhanced with Land Cover|
LIDAR data is the highest accuracy data available and is enabled as an option for expert users. Models for cities and rural areas alike are uploaded to the system on request as tiles and allow a clutter accuracy of up to 2m.