干旱区生态环境知识资源中心(Arid): Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images

Arid

DOI	10.3389/fenvs.2021.791336
	Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images
	Liu, Yi; Ortega-Farias, Samuel; Tian, Fei; Wang, Sufen; Li, Sien
通讯作者	Wang, SF (corresponding author)，China Agr Univ, Ctr Agr Water Res China, Beijing, Peoples R China.
来源期刊	FRONTIERS IN ENVIRONMENTAL SCIENCE
EISSN	2296-665X
出版年	2021
卷号	9
英文摘要	Near-surface air (Ta) and land surface (Ts) temperatures are essential parameters for research in the fields of agriculture, hydrology, and ecological changes, which require accurate datasets with different temporal and spatial resolutions. However, the sparse spatial distribution of meteorological stations in Northwest China may not effectively provide high-precision Ta data. And it is not clear whether it is necessary to improve the accuracy of Ts which has the most influence on Ta. In response to this situation, the main objective of this study is to estimate Ta for Northwest China using multiple linear regression models (MLR) and random forest (RF) algorithms, based on Landsat 8 images and auxiliary data collected from 2014 to 2019. Ts, NDVI (Normalized Difference Vegetation Index), surface albedo, elevation, wind speed, and Julian day were variables to be selected, then used to estimate the daily average Ta after analysis and adjustment. Also, the Radiative Transfer Equation (RTE) method for calculating Ts would be corrected by NDVI (RTE-NDVI). The results show that: 1) The accuracy of the surface temperature (Ts) was improved by using RTE-NDVI; 2) Both MLR and RF models are suitable for estimating Ta in areas with few meteorological stations; 3) Analyzing the temporal and spatial distribution of errors, it is found that the MLR model performs well in spring and summer, and is lower in autumn, and the accuracy is higher in plain areas away from mountains than in mountainous areas and nearby areas. This study shows that through appropriate selection and combination of variables, the accuracy of estimating the pixel-scale Ta from satellite remote sensing data can be improved in the area that has less meteorological data.
英文关键词	average air temperature land surface temperature remote sensing Landsat 8 statistical models
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000741956300001
WOS关键词	DAILY MAXIMUM ; VAPOR-PRESSURE ; NEURAL-NETWORK ; RANDOM FORESTS ; HOT SUMMER ; MODIS DATA ; URBAN ; RETRIEVAL ; MODEL ; FIELD
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375684
作者单位	[Liu, Yi; Tian, Fei; Wang, Sufen; Li, Sien] China Agr Univ, Ctr Agr Water Res China, Beijing, Peoples R China; [Ortega-Farias, Samuel] Univ Talca, Res & Extens Ctr Irrigat & Agroclimatol CITRA, Fac Agr Sci, Talca, Chile; [Ortega-Farias, Samuel] Univ Talca, Res Program Adaptat Agr Climate Change A2C2, Fac Agr Sci, Talca, Chile
推荐引用方式 GB/T 7714	Liu, Yi,Ortega-Farias, Samuel,Tian, Fei,et al. Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images[J],2021,9.
APA	Liu, Yi,Ortega-Farias, Samuel,Tian, Fei,Wang, Sufen,&Li, Sien.(2021).Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images.FRONTIERS IN ENVIRONMENTAL SCIENCE,9.
MLA	Liu, Yi,et al."Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images".FRONTIERS IN ENVIRONMENTAL SCIENCE 9(2021).