Assessment and validation of Land Surface Temperature retrieval
algorithms using Landsat 8 TIRS data in Antarctic ice-free
areas

J 2024

Assessment and validation of Land Surface Temperature retrieval algorithms using Landsat 8 TIRS data in Antarctic ice-free areas

KIRNER, David; Kamil LÁSKA a Zdeněk STACHOŇ

Základní údaje

Originální název

Assessment and validation of Land Surface Temperature retrieval algorithms using Landsat 8 TIRS data in Antarctic ice-free areas

Autoři

KIRNER, David; Kamil LÁSKA a Zdeněk STACHOŇ

Vydání

Polar Science, Elsevier, 2024, 1873-9652

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10500 1.5. Earth and related environmental sciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.000

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/24:00138440

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

Land surface temperature; Remote sensing; Landsat 8 TIRS; Antarctic Peninsula; Land surface emissivity

Štítky

14315030, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 1. 2025 11:56, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

This study evaluates the effectiveness of different Land Surface Temperature (LST) retrieval algorithms applied to Landsat 8 Thermal Infrared Sensor (TIRS) data in the ice-free regions of the Antarctic Peninsula. The primary objective is to determine the most accurate algorithm for LST estimation in these environments. Three algorithms, namely radiative transfer equation (RTE), single channel (SC), and mono window (MW), were utilised and compared to in-situ measurements at two locations in the northern part of James Ross Island (JRI), Antarctic Peninsula. The study considered various factors influencing LST accuracy, including land surface emissivity, atmospheric conditions, and sun elevation angles. The findings reveal that all three algorithms demonstrate significant sensitivity to emissivity. The MW algorithm emerged as the most suitable, showing the lowest root mean square error (RMSE) of 3.06 degrees C, followed by the SC and RTE algorithms with RMSE values of 3.68 and 3.98 degrees C, respectively. The study also underscores a strong positive correlation between LST retrieval accuracy and sun elevation angle, with more accurate results obtained from satellite images acquired in February, characterised by lower sun elevation angles. No significant relationship with water vapour content in the atmosphere was identified during the investigated period.

Návaznosti

GA20-20240S, projekt VaV

Název: Dopady klimatické změny na tání sněhu a ledu v oblasti Antarktického poloostrova

Investor: Grantová agentura ČR, Dopady klimatické změny na tání sněhu a ledu v oblasti Antarktického poloostrova

MUNI/A/1469/2023, interní kód MU

Název: Geografický výzkum společenských a přírodních procesů v období změn

Investor: Masarykova univerzita, Geografický výzkum společenských a přírodních procesů v období změn

VAN 2023, interní kód MU

Název: Český antarktický výzkumný program 2023

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Český antarktický výzkumný program 2023, Výzkum v oblasti Antarktidy

Citovat

KIRNER, David; Kamil LÁSKA a Zdeněk STACHOŇ. Assessment and validation of Land Surface Temperature retrieval algorithms using Landsat 8 TIRS data in Antarctic ice-free areas. Polar Science. Elsevier, 2024, roč. 42, December, s. 1-13. ISSN 1873-9652. Dostupné z: https://doi.org/10.1016/j.polar.2024.101127.

@article{2467557,
   author = {Kirner, David and Láska, Kamil and Stachoň, Zdeněk},
   article_number = {December},
   doi = {https://doi.org/10.1016/j.polar.2024.101127},
   keywords = {Land surface temperature; Remote sensing; Landsat 8 TIRS; Antarctic Peninsula; Land surface emissivity},
   language = {eng},
   issn = {1873-9652},
   journal = {Polar Science},
   title = {Assessment and validation of Land Surface Temperature retrieval algorithms using Landsat 8 TIRS data in Antarctic ice-free areas},
   url = {https://www.sciencedirect.com/science/article/pii/S1873965224001208},
   volume = {42},
   year = {2024}
}

TY  - JOUR
ID  - 2467557
AU  - Kirner, David - Láska, Kamil - Stachoň, Zdeněk
PY  - 2024
TI  - Assessment and validation of Land Surface Temperature retrieval algorithms using Landsat 8 TIRS data in Antarctic ice-free areas
JF  - Polar Science
VL  - 42
IS  - December
SP  - 1-13
EP  - 1-13
PB  - Elsevier
SN  - 18739652
KW  - Land surface temperature
KW  - Remote sensing
KW  - Landsat 8 TIRS
KW  - Antarctic Peninsula
KW  - Land surface emissivity
UR  - https://www.sciencedirect.com/science/article/pii/S1873965224001208
N2  - This study evaluates the effectiveness of different Land Surface Temperature (LST) retrieval algorithms applied to Landsat 8 Thermal Infrared Sensor (TIRS) data in the ice-free regions of the Antarctic Peninsula. The primary objective is to determine the most accurate algorithm for LST estimation in these environments. Three algorithms, namely radiative transfer equation (RTE), single channel (SC), and mono window (MW), were utilised and compared to in-situ measurements at two locations in the northern part of James Ross Island (JRI), Antarctic Peninsula. The study considered various factors influencing LST accuracy, including land surface emissivity, atmospheric conditions, and sun elevation angles. The findings reveal that all three algorithms demonstrate significant sensitivity to emissivity. The MW algorithm emerged as the most suitable, showing the lowest root mean square error (RMSE) of 3.06 degrees C, followed by the SC and RTE algorithms with RMSE values of 3.68 and 3.98 degrees C, respectively. The study also underscores a strong positive correlation between LST retrieval accuracy and sun elevation angle, with more accurate results obtained from satellite images acquired in February, characterised by lower sun elevation angles. No significant relationship with water vapour content in the atmosphere was identified during the investigated period.
ER  -

KIRNER, David; Kamil LÁSKA a Zdeněk STACHOŇ. Assessment and validation of Land Surface Temperature retrieval algorithms using Landsat 8 TIRS data in Antarctic ice-free areas. \textit{Polar Science}. Elsevier, 2024, roč.~42, December, s.~1-13. ISSN~1873-9652. Dostupné z: https://doi.org/10.1016/j.polar.2024.101127.

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