Nugraha, A Sediyo Adi and Kamal, Muhammad and Heru Murti, Sigit and Widyatmanti, Wirastuti (2024) Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods. Geomatics, Natural Hazards and Risk, 15 (1). ISSN 19475705
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Accuracy assessment of land surface temperature retrievals from remote sensing imagery pixel-based single and multi-channel methods.pdf - Published Version
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Abstract
Land Surface Temperature (LST) measurements using remote sensing data are conducted using various methods, including the Single Channel Method (SCM) and the Multi-Channel Method (MCM). Emissivity, which significantly affects LST, is determined using methods such as the Correction-Based Emissivity Method (CBEM) and the Non-Linear Based Emissivity Method (NBEM). Given these factors, validating LST measurements is crucial for assessing the accuracy of data processing results. This study aims to compare LST data retrieved using SCM and MCM with various emissivity calculation methods and assess their accuracy compared to single measurements with an infrared thermometer, measurements using a grid plot, and measurements using a thermal camera with the assistance of an Unmanned Aerial Vehicle (UAV). The results show that SCMJM&S and SCMAC did not produce optimal accuracy (>2.5K) when using the emissivity estimates from CBEM and NBEM. In contrast, MCM that adopted MCMSko, MCMQin, and MCMMao generally produced high-accuracy LST with an average difference of <1 K from actual temperatures, specifically in shrub pixels. MCM with the NDVI threshold method (NDVITHM) showed excellent results in distinguishing between vegetation and non-vegetation objects. In conclusion, MCM provides more accurate LST than SCM. Nevertheless, selecting the appropriate method should consider heterogeneity, homogeneity, and regional physiography. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Item Type: | Article |
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Additional Information: | Cited by: 3; All Open Access, Gold Open Access |
Uncontrolled Keywords: | Antennas; Atmospheric temperature; Data handling; Electromagnetic wave emission; Land surface temperature; Pixels; Remote sensing; Surface measurement; Surface properties; Unmanned aerial vehicles (UAV); Vegetation; Accuracy assessment; Emissivity; Land surface temperature; Land surface temperature retrievals; LANDSAT; Multi channel; Multi-channel method; Non linear; Single channel methods; Surface temperature measurement; Landsat |
Subjects: | G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography |
Divisions: | Faculty of Geography > Departemen Sains Informasi Geografi |
Depositing User: | Sri Purwaningsih Purwaningsih |
Date Deposited: | 07 Jul 2025 01:30 |
Last Modified: | 07 Jul 2025 01:30 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/19410 |