De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk

Terug naar zoekresultatenDeel deze publicatie

Open access

Rechten:Alle rechten voorbehouden

Open access

Rechten:Alle rechten voorbehouden

Samenvatting

Telecommunication services have become essential to modern society. However, with the usage of more high frequency signals, it encounters more interference from objects on the terrain. This interference can be calculated with clutter data, a thematic raster which incorporates certain aspects of objects on the terrain, but it is not accurate for the newest radio frequencies. For this purpose, the clutter data needs to be enhanced with more detailed object data, especially vegetation.

With the help of remote sensing imagery, it is attempted to extract vegetation types and height, which is then classified and incorporated into clutter data. A methodology has been developed to serve that purpose.

It is found that extracting vegetation heights and types is possible with the means available to GeoTerraImage and South Africa, however, more research is necessary in order to acquire a more accurate result. Recommendations have been made based on the research performed, and have been incorporated in this report.

Toon meer
OrganisatieHogeschool Utrecht
OpleidingGeodesie
AfdelingGebouwde Omgeving
Datum2010-06
TypeBachelor
TaalEngels

Op de HBO Kennisbank vind je publicaties van 26 hogescholen

De grootste kennisbank van het HBO

Inspiratie op jouw vakgebied

Vrij toegankelijk