Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.scitotenv.2018.09.027 |
Normalizing land surface temperature for environmental parameters in mountainous and urban areas of a cold semi-arid climate | |
Weng, Qihao1,2,3; Firozjaei, Mohammad Karimi4; Kiavarz, Majid4; Alavipanah, Seyed Kazem4; Hamzeh, Saeid4 | |
通讯作者 | Kiavarz, Majid |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
出版年 | 2019 |
卷号 | 650页码:515-529 |
英文摘要 | Normalization of land surface temperature (LST) relative to environmental factors is of great importance in many scientific studies and applications. The purpose of this study was to develop physical models based on energy balance equations for normalization of satellite derived LST relative to environmental parameters. For this purpose, a set of remote sensing imagery, meteorological and climatic data recorded in synoptic stations, and soil temperatures measured by data loggers were used. For modeling and normalization of LST, a dual-source energy balance model (dual-EB), taking into account two fractions of vegetation and soil, and a triple-source energy balance model (triple-EB), taking into account three fractions of vegetation, soil and built-up land, were proposed with either regional or local optimization strategies. To evaluate and compare the accuracy of different modeling results, correlation coefficients and root mean square difference (RMSE) were computed between modeled LST and LST obtained from satellite imagery, as well as between modeled LST and soil temperature measured by data loggers. Further, the variance of normalized LST values was calculated and analyzed. The results suggested that the use of local optimization strategy increased the accuracy of the normalization of LST, compared to the regional optimization strategy. In addition, no matter the regional or local optimization strategy was employed, the triple-EB model out-performed consistently the dual-EB model for LST normalization. The results show the efficiency of the local triple-EB model to normalize LST relative to environmental parameters. The correlation coefficients were close to zero between all of the environmental parameters and the normalized LST. In other words, normalized LST was completely independent of the environmental parameters considered by this research. (C) 2013 Elsevier B.V. All rights reserved. |
英文关键词 | Land surface temperature Normalization Environmental parameters Surface energy balance Local and regional optimization Mountain-urban areas |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; USA ; Iran |
收录类别 | SCI-E |
WOS记录号 | WOS:000447092700053 |
WOS关键词 | SPECTRAL MIXTURE ANALYSIS ; SOIL-MOISTURE ; ENERGY FLUXES ; GREAT-PLAINS ; MODEL ; RETRIEVAL ; EVAPOTRANSPIRATION ; ANOMALIES ; WATER ; DISAGGREGATION |
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/2XILL650/218600 |
作者单位 | 1.South China Normal Univ, Sch Geog, Guangzhou 510631, Guangdong, Peoples R China; 2.Xiamen Univ, Coll Environm & Ecol, South Xiangan Rd, Xiamen 361102, Fujian, Peoples R China; 3.Indiana State Univ, Ctr Urban & Environm Change, Dept Earth & Environm Syst, Terre Haute, IN 47809 USA; 4.Univ Tehran, Dept Remote Sensing & GIS, Tehran, Iran |
推荐引用方式 GB/T 7714 | Weng, Qihao,Firozjaei, Mohammad Karimi,Kiavarz, Majid,et al. Normalizing land surface temperature for environmental parameters in mountainous and urban areas of a cold semi-arid climate[J],2019,650:515-529. |
APA | Weng, Qihao,Firozjaei, Mohammad Karimi,Kiavarz, Majid,Alavipanah, Seyed Kazem,&Hamzeh, Saeid.(2019).Normalizing land surface temperature for environmental parameters in mountainous and urban areas of a cold semi-arid climate.SCIENCE OF THE TOTAL ENVIRONMENT,650,515-529. |
MLA | Weng, Qihao,et al."Normalizing land surface temperature for environmental parameters in mountainous and urban areas of a cold semi-arid climate".SCIENCE OF THE TOTAL ENVIRONMENT 650(2019):515-529. |
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