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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • 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

  • 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

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-105022703520