Identification of Micro-Scale Landforms of Landslides Using Precise Digital Elevation Models

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F19%3A81260" target="_blank" >RIV/60460709:41320/19:81260 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.mdpi.com/2076-3263/9/3/117/htm" target="_blank" >https://www.mdpi.com/2076-3263/9/3/117/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/geosciences9030117" target="_blank" >10.3390/geosciences9030117</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Identification of Micro-Scale Landforms of Landslides Using Precise Digital Elevation Models

Popis výsledku v původním jazyce

An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have a lack of data connectivity, and optical parameters of scanning cameras lead to different densities of point clouds. Data noise or systematic errors (missing data) make the automatic identification of landforms under tree canopy problematic or impossible. We processed, analyzed, and interpreted data from a large-scale landslide survey, which were acquired by the light detection and ranging (LiDAR) technology, remotely piloted aircraft system (RPAS), and close-range photogrammetry (CRP) using the Structure-from-Motion (SfM) method. LAStools is a highly efficient Geographic Information System (GIS) tool for point clouds pre-processing and creating precise digital elevation models (DEMs). The main landslide body and its landforms indicating the landslide activity were detected and delineated in DEM-derivatives. Identification of micro-scale landforms in precise

Název v anglickém jazyce

Identification of Micro-Scale Landforms of Landslides Using Precise Digital Elevation Models

Popis výsledku anglicky

An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have a lack of data connectivity, and optical parameters of scanning cameras lead to different densities of point clouds. Data noise or systematic errors (missing data) make the automatic identification of landforms under tree canopy problematic or impossible. We processed, analyzed, and interpreted data from a large-scale landslide survey, which were acquired by the light detection and ranging (LiDAR) technology, remotely piloted aircraft system (RPAS), and close-range photogrammetry (CRP) using the Structure-from-Motion (SfM) method. LAStools is a highly efficient Geographic Information System (GIS) tool for point clouds pre-processing and creating precise digital elevation models (DEMs). The main landslide body and its landforms indicating the landslide activity were detected and delineated in DEM-derivatives. Identification of micro-scale landforms in precise

Druh

J_SC - Článek v periodiku v databázi SCOPUS

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 periodika

Geosciences (Schwitzerland)

ISSN

2076-3263

e-ISSN

—

Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

19

Strana od-do

1-19

Kód UT WoS článku

000464455400002

EID výsledku v databázi Scopus

2-s2.0-85065247438