Evaluation of the Spatial Structure of Windbreaks from Digital Photography
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152305" target="_blank" >RIV/00216305:26220/24:PU152305 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.jeeng.net/pdf-192473-113350?filename=Evaluation%20of%20the%20Spatial.pdf" target="_blank" >https://www.jeeng.net/pdf-192473-113350?filename=Evaluation%20of%20the%20Spatial.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.12911/22998993/192473" target="_blank" >10.12911/22998993/192473</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluation of the Spatial Structure of Windbreaks from Digital Photography
Popis výsledku v původním jazyce
The loss of fertile soil due to wind erosion has major impacts on the landscape and the environment. Its intensity and extent depend on many factors, where vegetation cover, soil moisture and wind intensity play key roles. Climatic conditions are constantly developing towards a higher extremity. Episodes of drought associated with a higher risk of wind erosion are longer and more frequent. For farmers, this results in higher demands for management in order to increase resistance against the negative effects of wind erosion. Windbreaks effectively protect the soil by reducing wind speed. This paper describes the automation of the current procedure for the evaluation of the spatial structure of windbreaks by means of advanced image signal analysis (2D) and the subsequent use of machine learning for further classification of spatial structure parameters (optical porosity). Software called Windbreak which enables the evaluation of optical porosity, including the assessment of canopy height, has been developed. The program allows working with digital photographs at the original resolution. The output from the Windbreak software can be also used as input values for determining the effectiveness of windbreaks.
Název v anglickém jazyce
Evaluation of the Spatial Structure of Windbreaks from Digital Photography
Popis výsledku anglicky
The loss of fertile soil due to wind erosion has major impacts on the landscape and the environment. Its intensity and extent depend on many factors, where vegetation cover, soil moisture and wind intensity play key roles. Climatic conditions are constantly developing towards a higher extremity. Episodes of drought associated with a higher risk of wind erosion are longer and more frequent. For farmers, this results in higher demands for management in order to increase resistance against the negative effects of wind erosion. Windbreaks effectively protect the soil by reducing wind speed. This paper describes the automation of the current procedure for the evaluation of the spatial structure of windbreaks by means of advanced image signal analysis (2D) and the subsequent use of machine learning for further classification of spatial structure parameters (optical porosity). Software called Windbreak which enables the evaluation of optical porosity, including the assessment of canopy height, has been developed. The program allows working with digital photographs at the original resolution. The output from the Windbreak software can be also used as input values for determining the effectiveness of windbreaks.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20701 - Environmental and geological engineering, geotechnics
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Ecological Engineering
ISSN
2081-139X
e-ISSN
2299-8993
Svazek periodika
25
Číslo periodika v rámci svazku
10
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
11
Strana od-do
381-391
Kód UT WoS článku
001301115100021
EID výsledku v databázi Scopus
2-s2.0-85204112639