UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F17%3A00481682" target="_blank" >RIV/67985891:_____/17:00481682 - isvavai.cz</a>

Alternative codes found

RIV/00216208:11310/17:10337398 RIV/61989592:15310/17:73585072

Result on the web

<a href="http://dx.doi.org/10.3390/rs9030240" target="_blank" >http://dx.doi.org/10.3390/rs9030240</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/rs9030240" target="_blank" >10.3390/rs9030240</a>

Result language

angličtina

Original language name

UAV-Based Optical Granulometry as Tool for Detecting Changes in Structure of Flood Depositions

Original language description

This paper presents a new non-invasive technique of granulometric analysis based on the fusion of two imaging techniques, Unmanned Aerial Vehicles (UAV)-based photogrammetry and optical digital granulometry. This newly proposed technique produces seamless coverage of a study site in order to analyze the granulometric properties of alluvium and observe its spatiotemporal changes. This proposed technique is tested by observing changes along the point bar of a mid-latitude mountain stream. UAV photogrammetry acquired at a low-level flight altitude (at a height of 8 m) is used to acquire ultra-high resolution orthoimages to build high-precision digital terrain models (DTMs). These orthoimages are covered by a regular virtual grid, and the granulometric properties of the grid fields are analyzed using the digital optical granulometric tool BaseGrain. This tested framework demonstrates the applicability of the proposed method for granulometric analysis, which yields accuracy comparable to that of traditional field optical granulometry. The seamless nature of this method further enables researchers to study the spatial distribution of granulometric properties across multiple study sites, as well as to analyze multitemporal changes using repeated imaging.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10508 - Physical geography

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

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

Name of the periodical

Remote Sensing

ISSN

2072-4292

e-ISSN

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Volume of the periodical

9

Issue of the periodical within the volume

3

Country of publishing house

CH - SWITZERLAND

Number of pages

21

Pages from-to

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UT code for WoS article

000398720100054

EID of the result in the Scopus database

2-s2.0-85019352405