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Contribution of web analytic tools to improve online business of companies
Filip Aldić, 2018, magistrsko delo

Opis: The goal of this master’s thesis was to explore online analytical tools and how they can contribute towards creating successful campaigns that will improve the online business of companies that use the online world as part of their operation. In the case study, the most important aspect of the campaign was using an innovative approach and new platforms and channels to target loyal, existing, new and potential guests of the resort. Smoothly introducing the new content created on the basis of the friendly and hospitable lasting relationships. The most important elements were surely content production, as well as segmented and well targeted campaigns. This combination helped to reach the defined goals.
Ključne besede: Google Analytics, Google AdWords, Google Tag Manager, campaign, marketing
Objavljeno v DKUM: 29.11.2018; Ogledov: 751; Prenosov: 152
.pdf Celotno besedilo (6,30 MB)

Simulating various terrestrial and UAV LiDAR scanning configurations for understory forest structure modelling
Marina Hämmerle, Niko Lukač, K.-C. Chen, Zsófia Koma, C.-K. Wang, K. Anders, B. Höfle, 2017, objavljeni znanstveni prispevek na konferenci

Opis: Information about the 3D structure of understory vegetation is of high relevance in forestry research and management (e.g., for complete biomass estimations). However, it has been hardly investigated systematically with state-of-the-art methods such as static terrestrial laser scanning (TLS) or laser scanning from unmanned aerial vehicle platforms (ULS). A prominent challenge for scanning forests is posed by occlusion, calling for proper TLS scan position or ULS flight line configurations in order to achieve an accurate representation of understory vegetation. The aim of our study is to examine the effect of TLS or ULS scanning strategies on (1) the height of individual understory trees and (2) understory canopy height raster models. We simulate full-waveform TLS and ULS point clouds of a virtual forest plot captured from various combinations of max. 12 TLS scan positions or 3 ULS flight lines. The accuracy of the respective datasets is evaluated with reference values given by the virtually scanned 3D triangle mesh tree models. TLS tree height underestimations range up to 1.84 m (15.30 % of tree height) for single TLS scan positions, but combining three scan positions reduces the underestimation to maximum 0.31 m (2.41 %). Combining ULS flight lines also results in improved tree height representation, with a maximum underestimation of 0.24 m (2.15 %). The presented simulation approach offers a complementary source of information for efficient planning of field campaigns aiming at understory vegetation modelling.
Ključne besede: forest structure, understory, laser scanning simulation, full waveform, 3D point cloud analysis, field campaign planning
Objavljeno v DKUM: 09.10.2017; Ogledov: 1658; Prenosov: 374
.pdf Celotno besedilo (3,71 MB)
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