IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p4971-d857665.html
   My bibliography  Save this article

Integration of Thermal and RGB Data Obtained by Means of a Drone for Interdisciplinary Inventory

Author

Listed:
  • Joanna Paziewska

    (WIDEBRAND Patryk Paziewski, Tarnowska 36/8, 43-300 Bielsko-Biala, Poland)

  • Antoni Rzonca

    (Department of Photogrammetry, Remote Sensing, and Spatial Engineering/Faculty of Geo-Data Science, Geodesy and Environmental Engineering, AGH University of Science and Technology, al. A. Mickiewicza 30, 30-059 Krakow, Poland)

Abstract

Thermal infrared imagery is very much gaining in importance in the diagnosis of energy losses in cultural heritage through non-destructive measurement methods. Hence, owing to the fact that it is a very innovative and, above all, safe solution, it is possible to determine the condition of the building, locate places exposed to thermal escape, and plan actions to improve the condition of the facility. The presented work is devoted to the technology of creating a dense point cloud and a 3D model, based on data obtained from UAV. It has been shown that it is possible to build a 3D point model based on thermograms with the specified accuracy by using thermal measurement marks and the dense matching method. The results achieved in this way were compared and, as the result of this work, the model obtained from color photos was integrated with the point cloud created on the basis of the thermal images. The discussed approach exploits measurement data obtained with three independent devices (tools/appliances): a Matrice 300 RTK drone (courtesy of NaviGate); a Phantom 4 PRO drone; and a KT-165 thermal imaging camera. A stone church located in the southern part of Poland was chosen as the measuring object.

Suggested Citation

  • Joanna Paziewska & Antoni Rzonca, 2022. "Integration of Thermal and RGB Data Obtained by Means of a Drone for Interdisciplinary Inventory," Energies, MDPI, vol. 15(14), pages 1-18, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:4971-:d:857665
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/4971/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/14/4971/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alessandro Matese & Salvatore Filippo Di Gennaro, 2018. "Practical Applications of a Multisensor UAV Platform Based on Multispectral, Thermal and RGB High Resolution Images in Precision Viticulture," Agriculture, MDPI, vol. 8(7), pages 1-13, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mohammad Fatin Fatihur Rahman & Shurui Fan & Yan Zhang & Lei Chen, 2021. "A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture," Agriculture, MDPI, vol. 11(1), pages 1-26, January.
    2. Rigas Giovos & Dimitrios Tassopoulos & Dionissios Kalivas & Nestor Lougkos & Anastasia Priovolou, 2021. "Remote Sensing Vegetation Indices in Viticulture: A Critical Review," Agriculture, MDPI, vol. 11(5), pages 1-20, May.
    3. Marco Ammoniaci & Simon-Paolo Kartsiotis & Rita Perria & Paolo Storchi, 2021. "State of the Art of Monitoring Technologies and Data Processing for Precision Viticulture," Agriculture, MDPI, vol. 11(3), pages 1-20, February.
    4. Bhoomin Tanut & Rattapoom Waranusast & Panomkhawn Riyamongkol, 2021. "High Accuracy Pre-Harvest Sugarcane Yield Forecasting Model Utilizing Drone Image Analysis, Data Mining, and Reverse Design Method," Agriculture, MDPI, vol. 11(7), pages 1-21, July.
    5. Alessia Cogato & Franco Meggio & Massimiliano De Antoni Migliorati & Francesco Marinello, 2019. "Extreme Weather Events in Agriculture: A Systematic Review," Sustainability, MDPI, vol. 11(9), pages 1-18, May.
    6. Ezenne, G.I. & Jupp, Louise & Mantel, S.K. & Tanner, J.L., 2019. "Current and potential capabilities of UAS for crop water productivity in precision agriculture," Agricultural Water Management, Elsevier, vol. 218(C), pages 158-164.
    7. Yorghos Voutos & Phivos Mylonas & John Katheniotis & Anastasia Sofou, 2019. "A Survey on Intelligent Agricultural Information Handling Methodologies," Sustainability, MDPI, vol. 11(12), pages 1-23, June.
    8. Anzhen Qin & Dongfeng Ning & Zhandong Liu & Sen Li & Ben Zhao & Aiwang Duan, 2021. "Determining Threshold Values for a Crop Water Stress Index-Based Center Pivot Irrigation with Optimum Grain Yield," Agriculture, MDPI, vol. 11(10), pages 1-16, October.
    9. Ivana Rendulić Jelušić & Branka Šakić Bobić & Zoran Grgić & Saša Žiković & Mirela Osrečak & Ivana Puhelek & Marina Anić & Marko Karoglan, 2022. "Grape Quality Zoning and Selective Harvesting in Small Vineyards—To Adopt or Not to Adopt," Agriculture, MDPI, vol. 12(6), pages 1-22, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:4971-:d:857665. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.