IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i4p555-d1379893.html
   My bibliography  Save this article

Validation of Remotely Sensed Land Surface Temperature at Lake Baikal’s Surroundings Using In Situ Observations

Author

Listed:
  • Egor Dyukarev

    (Institute of Monitoring of Climatic and Ecological System, Siberian Branch Russian Academy of Sciences, Tomsk 634055, Russia
    Laboratory of Ecosystem-Atmosphere Interactions in Forest-Bog Complexes, Yugra State University, Khanty-Mansiysk 628012, Russia)

  • Nadezhda Voropay

    (Institute of Monitoring of Climatic and Ecological System, Siberian Branch Russian Academy of Sciences, Tomsk 634055, Russia
    V. B. Sochava Institute of Geography, Siberian Branch Russian Academy of Sciences, Irkutsk 664033, Russia)

  • Oksana Vasilenko

    (V. B. Sochava Institute of Geography, Siberian Branch Russian Academy of Sciences, Irkutsk 664033, Russia)

  • Elena Rasputina

    (V. B. Sochava Institute of Geography, Siberian Branch Russian Academy of Sciences, Irkutsk 664033, Russia)

Abstract

The accuracy of Land Surface Temperature (LST) products retrieved from satellite data in mountainous-coastal areas is not well understood. This study presents an analysis of the spatial and temporal variability of the differences between the LST and in situ observed air and surface temperatures (ISTs) for the southeastern slope of Lake Baikal’s surroundings. The IST was measured at 12 ground observation sites located on the southeastern macro-slope of the Primorskiy Ridge (Baikal, Russia) within an elevation range of 460–1656 m above sea level from 2009 to 2021. LST was estimated using 617 Landsat (7 and 8) images from 2009–2021, taking into account brightness temperature, surface emissivity and vegetation cover fraction. The comparison of the LST from satellite data and the IST from ground observation showed relatively high differences, which varied depending on the season and site type. A neural network was suggested and calibrated to improve the LST data. The corrected remote-sensed temperature was found to reproduce the IST very well, with mean differences of about 0.03 °C and linear correlation coefficients of 0.98 and 0.95 for the air and surface IST.

Suggested Citation

  • Egor Dyukarev & Nadezhda Voropay & Oksana Vasilenko & Elena Rasputina, 2024. "Validation of Remotely Sensed Land Surface Temperature at Lake Baikal’s Surroundings Using In Situ Observations," Land, MDPI, vol. 13(4), pages 1-19, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:555-:d:1379893
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/4/555/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/4/555/
    Download Restriction: no
    ---><---

    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:jlands:v:13:y:2024:i:4:p:555-:d:1379893. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.