Application of UAV orthophoto and thermal imaging for municipal solid waste landfills monitoring
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Application of UAV orthophoto and thermal imaging for municipal solid waste landfills monitoring
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/SS06020164" target="_blank" >SS06020164: New methods of evaluating the volume and surface of active and reclaimed landfills</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISSN
2194-9042
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
2
Country of publishing house
DE - GERMANY
Number of pages
5
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-105022703520