Journal of Digital Landscape Architecture

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UAV Photogrammetry, Lidar or WebGL? A Comparison of Spatial Data Sources for Landscape Architecture

This article deals with a comparison of spatial data from different sources for the needs of landscape architecture. These include data acquired from public providers, the government (geoportals) and commercial map servers utilising WebGL (Mapy.cz, Google), and data obtained using UAV (drone) photogrammetry. The motivation for this is that the development of UAVs has allowed us to get new data very quickly and cheaply. However, in order to clearly justify the need for their use in landscape architecture projects, we need to compare them to other commonly available and used data sources. Emphasising the possibilities and appropriateness of using UAV data is important, but it is equally important to know when other data sources are more appropriate.

Autor / Author: Klepárník, Radim; Sedláček, Jozef
Institution / Institution: Mendel University in Brno/Czech Republic; Mendel University in Brno/Czech Republic
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: JoDLA − Journal of Digital Landscape Architecture, 6-2021
Tagung / Conference: Digital Landscape Architecture 2021 – Resilient Landscape Architecture and Global Change
Veranstaltungsort, -datum / Venue, Date: Anhalt University, Dessau, Köthen and Bernburg, Germany 26-05-21 - 28-05-21
Schlüsselwörter (de):
Keywords (en): UAV photogrammetry, WebGL, spatial data
Paper review type: Full Paper Review
DOI: doi:10.14627/537705019
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