Accuracy assessment of land surface temperature retrievals from remote sensing imagery: pixel-based, single and multi-channel methods
| Autor: | A Sediyo Adi Nugraha, Muhammad Kamal, Sigit Heru Murti, Wirastuti Widyatmanti |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024) |
| Druh dokumentu: | article |
| ISSN: | 19475705 1947-5713 1947-5705 |
| DOI: | 10.1080/19475705.2024.2324975 |
| Popis: | AbstractLand 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 |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|