Forest inventory using airborne and terrestrial laser data

Dnr:

SNIC 2016/3-53

Type:

SNAC Small

Principal Investigator:

Kenneth Olofsson

Affiliation:

Sveriges lantbruksuniversitet

Start Date:

2016-10-01

End Date:

2017-10-01

Primary Classification:

20703: FjÀrranalysteknik

Webpage:

Allocation

Abstract

In remote sensing of forests, airborne and terrestrial laser scanning data is now available. The amount of data is increasing and high performance computing is therefore necessary. This project aims at testing the use of high performance computing on remote sensing data on forests.