干旱区生态环境知识资源中心(Arid): Improving the Accuracy of Landsat 8 Land Surface Temperature in Arid Regions by MODIS Water Vapor Imagery

Arid

DOI	10.3390/atmos14101589
	Improving the Accuracy of Landsat 8 Land Surface Temperature in Arid Regions by MODIS Water Vapor Imagery
	Arabi Aliabad, Fahime; Zare, Mohammad; Ghafarian Malamiri, Hamidreza; Ghaderpour, Ebrahim
通讯作者	Ghaderpour, E
来源期刊	ATMOSPHERE
EISSN	2073-4433
出版年	2023
卷号	14 期号:10
英文摘要	Land surface temperature (LST) is a significant environmental factor in many studies. LST estimation methods require various parameters, such as emissivity, temperature, atmospheric transmittance and water vapor. Uncertainty in these parameters can cause error in LST estimation. The present study shows how the moderate resolution imaging spectroradiometer (MODIS) water vapor imagery can improve the accuracy of Landsat 8 LST in different land covers of arid regions of Yazd province in Iran. For this purpose, water vapor variation is analyzed for different land covers within different seasons. Validation is performed using T-based and cross-validation methods. The image of atmospheric water vapor is estimated using the MODIS sensor, and its changes are investigated in different land covers. The bare lands and sparse vegetation show the highest and lowest accuracy levels for T-based validation, respectively. The root mean square error (RMSE) is also calculated as 0.57 degrees C and 1.41 degrees C for the improved and general split-window (SW) algorithms, respectively. The cross-validation results show that the use of the MODIS water vapor imagery in the SW algorithm leads to a reduction of about 2.2% in the area where the RMSE group is above 5 degrees C.
英文关键词	cross-validation Landsat Land surface temperature MODIS Sentinel-2 split-window algorithm water vapor retrieval Yazd
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:001090001600001
WOS关键词	SPLIT-WINDOW ALGORITHM ; AVHRR DATA ; RETRIEVAL ; VALIDATION ; IMPROVEMENTS ; VARIABILITY ; PRODUCT ; COVER
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/395484
推荐引用方式 GB/T 7714	Arabi Aliabad, Fahime,Zare, Mohammad,Ghafarian Malamiri, Hamidreza,et al. Improving the Accuracy of Landsat 8 Land Surface Temperature in Arid Regions by MODIS Water Vapor Imagery[J],2023,14(10).
APA	Arabi Aliabad, Fahime,Zare, Mohammad,Ghafarian Malamiri, Hamidreza,&Ghaderpour, Ebrahim.(2023).Improving the Accuracy of Landsat 8 Land Surface Temperature in Arid Regions by MODIS Water Vapor Imagery.ATMOSPHERE,14(10).
MLA	Arabi Aliabad, Fahime,et al."Improving the Accuracy of Landsat 8 Land Surface Temperature in Arid Regions by MODIS Water Vapor Imagery".ATMOSPHERE 14.10(2023).