The significance of using raw data: a case study with canopy height models of shrubs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A79467" target="_blank" >RIV/60460709:41330/19:79467 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5593/sgem2019/2.1" target="_blank" >http://dx.doi.org/10.5593/sgem2019/2.1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5593/sgem2019/2.1" target="_blank" >10.5593/sgem2019/2.1</a>
Alternative languages
Result language
angličtina
Original language name
The significance of using raw data: a case study with canopy height models of shrubs
Original language description
The quality of spatial data plays a crucial role in environmental modelling and management, especially in local scale studies needing a detail mapping of vegetation elements in a mosaic, near-natural landscape. One of the sources of spatial data for such modelling is airborne LiDAR. Although LiDAR-based vegetation and terrain models are often considered accurate, their quality is dependent on the density of the original raw point clouds and the computation algorithm. The aim of this study was to answer a question of how the method of LiDAR raw data processing affects the accuracy of the resulting canopy height models of shrubs in the mosaic landscape consisting of herbaceous plants and shrub formations. We hypothesize that using raw LiDAR data in conjunction with a suitable algorithm, we can obtain a more accurate shrub model than that acquired from the same raw LiDAR data through a general all-purpose processing used for computation of nationwide digital surface models. The comparison o
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
19th International Multidisciplinary Scientific GeoConference SGEM 2019
ISBN
978-619-7408-79-9
ISSN
—
e-ISSN
—
Number of pages
10
Pages from-to
1089-1098
Publisher name
SGEM world science
Place of publication
Sofia, Bulgaria
Event location
Albena, Bulgaria
Event date
Jun 30, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—