Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1109/ACCESS.2024.3380023 |
A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions | |
Aliabad, Fahime Arabi; Ghaderpour, Ebrahim; Zare, Mohammad; Malamiri, Hamidreza Ghafarian | |
通讯作者 | Ghaderpour, E |
来源期刊 | IEEE ACCESS
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ISSN | 2169-3536 |
出版年 | 2024 |
卷号 | 12页码:44858-44872 |
英文摘要 | Thermal monitoring of different regions is usually limited to meteorological data in ground stations. Meteorological networks are limited in arid and semi-arid areas, where monitoring climatic conditions is not possible. The aim of this study is to estimate the land surface temperature (LST) hourly for Yazd-Ardakan plain by modeling the diurnal temperature cycle (DTC) using LST imagery of moderate resolution imaging spectroradiometer (MODIS). First, MODIS imagery are reconstructed using the multi-channel singular spectrum analysis, and the complete time series without missing values are created. Then, six DTC models are compared. The accuracy of DTC models is examined by ground LST measurements, air temperature, humidity, and wind speed. In addition, the results of examining the root mean square error (RMSE) images obtained from cross-validation based on MODIS LST imagery show that DTC2 has the highest error, where 73% of the area has RMSE greater than 3degree celsius . In DTC1 and DTC2, 64% and 5.8% of the study region has RMSE less than 2degree celsius. In general, DTC1, DTC6, DTC5, DTC4, DTC3, and DTC2 models have shown the highest to lowest accuracy in modeling the LST diurnal cycle. In addition, the difference between LST in mountain and plain lands is greater at the time of maximum temperature than at other hours of the day and night. The findings of this research are crucial in studies concerning climate change and land environmental monitoring in arid/semi-arid regions. |
英文关键词 | Climate change Land surface temperature MODIS Thermal analysis Remote sensing Temperature measurement Atmospheric modeling Wind speed Time series analysis Surface reconstruction Spectral analysis Root mean square Land surface Arid land diurnal temperature cycle land surface temperature thermal remote sensing |
类型 | Article |
语种 | 英语 |
开放获取类型 | Green Submitted, gold |
收录类别 | SCI-E |
WOS记录号 | WOS:001193966800001 |
WOS关键词 | IN-SITU ; SATELLITE DATA ; LST ; VALIDATION ; VARIABILITY ; GENERATION ; EMISSIVITY ; PREDICTION ; RETRIEVAL ; ALGORITHM |
WOS类目 | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications |
WOS研究方向 | Computer Science ; Engineering ; Telecommunications |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/404133 |
推荐引用方式 GB/T 7714 | Aliabad, Fahime Arabi,Ghaderpour, Ebrahim,Zare, Mohammad,et al. A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions[J],2024,12:44858-44872. |
APA | Aliabad, Fahime Arabi,Ghaderpour, Ebrahim,Zare, Mohammad,&Malamiri, Hamidreza Ghafarian.(2024).A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions.IEEE ACCESS,12,44858-44872. |
MLA | Aliabad, Fahime Arabi,et al."A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions".IEEE ACCESS 12(2024):44858-44872. |
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