Application of UAV orthophoto and thermal imaging for municipal solid waste landfills monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00642370" target="_blank" >RIV/86652079:_____/25:00642370 - isvavai.cz</a>

Výsledek na webu

<a href="https://isprs-annals.copernicus.org/articles/X-2-W2-2025/1/2025/" target="_blank" >https://isprs-annals.copernicus.org/articles/X-2-W2-2025/1/2025/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprs-annals-X-2-W2-2025-1-2025" target="_blank" >10.5194/isprs-annals-X-2-W2-2025-1-2025</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of UAV orthophoto and thermal imaging for municipal solid waste landfills monitoring

Popis výsledku v původním jazyce

Monitoring municipal solid waste (MSW) landfills is essential for understanding surface dynamics, vegetation changes, andntemperature anomalies that may indicate environmental risks. Traditional ground-based methods are often labor-intensive andnspatially limited, making unmanned aerial vehicle (UAV) remote sensing an efficient alternative. This study employs UAV-basednRGB and thermal infrared (TIR) imaging to assess landfill conditions in two Czech MSW sites. The first objective is to map thendistribution of the invasive plant cotton thistle (Onopordum acanthium L.) using UAV RGB imagery data and a convolutional neural network classifier. The second objective is to analyse apparent temperature variations across landfill zones using repetitive UAV TIR imagery. Results demonstrate that UAV RGB imagery effectively detects vegetation patterns, while UAV TIR imaging identifies temperature anomalies that may be associated with landfill processes. Zones with mixed waste and soil remain the warmest over time, suggesting potential hotspots for gas emissions. UAV-based monitoring offers a multi-dimensional approach to landfill assessment with the early detection of environmental concerns. Future work should focus on mapping other landfill plant species, refining temperature corrections, and integrating additional ground-truthing for emissivity adjustments for precise thermal measurements.

Název v anglickém jazyce

Application of UAV orthophoto and thermal imaging for municipal solid waste landfills monitoring

Popis výsledku anglicky

Monitoring municipal solid waste (MSW) landfills is essential for understanding surface dynamics, vegetation changes, andntemperature anomalies that may indicate environmental risks. Traditional ground-based methods are often labor-intensive andnspatially limited, making unmanned aerial vehicle (UAV) remote sensing an efficient alternative. This study employs UAV-basednRGB and thermal infrared (TIR) imaging to assess landfill conditions in two Czech MSW sites. The first objective is to map thendistribution of the invasive plant cotton thistle (Onopordum acanthium L.) using UAV RGB imagery data and a convolutional neural network classifier. The second objective is to analyse apparent temperature variations across landfill zones using repetitive UAV TIR imagery. Results demonstrate that UAV RGB imagery effectively detects vegetation patterns, while UAV TIR imaging identifies temperature anomalies that may be associated with landfill processes. Zones with mixed waste and soil remain the warmest over time, suggesting potential hotspots for gas emissions. UAV-based monitoring offers a multi-dimensional approach to landfill assessment with the early detection of environmental concerns. Future work should focus on mapping other landfill plant species, refining temperature corrections, and integrating additional ground-truthing for emissivity adjustments for precise thermal measurements.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20705 - Remote sensing

Projekt

<a href="/cs/project/SS06020164" target="_blank" >SS06020164: Nové metody hodnocení objemu a povrchu aktivních a rekultivovaných skládek</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISSN

2194-9042

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

5

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-105022703520