The significance of using raw data: a case study with canopy height models of shrubs

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

The significance of using raw data: a case study with canopy height models of shrubs

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

The significance of using raw data: a case study with canopy height models of shrubs

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

19th International Multidisciplinary Scientific GeoConference SGEM 2019

ISBN

978-619-7408-79-9

ISSN

—

e-ISSN

—

Počet stran výsledku

10

Strana od-do

1089-1098

Název nakladatele

SGEM world science

Místo vydání

Sofia, Bulgaria

Místo konání akce

Albena, Bulgaria

Datum konání akce

30. 6. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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