中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the effects of urban green landscape on urban thermal environment dynamic in a semiarid city by integrated use of airborne data, satellite imagery and land surface model

文献类型:期刊论文

作者Liu, Kai2,3; Li, Xueke1; Wang, Shudong2; Gao, Xiaojie4
刊名INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
出版日期2022-03-01
卷号107页码:15
关键词Urban thermal environment Green space Landscape pattern Land surface temperature Heat flux
ISSN号1569-8432
DOI10.1016/j.jag.2021.102674
通讯作者Wang, Shudong(wangsd@aircas.ac.cn)
英文摘要The response of the urban thermal environment to green space landscapes has been studied previously, while its detailed pattern is insufficiently explored owing to the constraints of spatial and temporal resolution of available datasets. This study uses integrated Thermal Airborne Spectrographic Imager (TASI) data, Landsat TM/ETM and MODIS satellite imagery, and Noah land surface model output to investigate the effects of landscape pattern on the urban thermal environment across Shijiazhuang, China. The present study not merely proposes a generalized framework for the spatiotemporal analysis of urban thermal environment, but also affords several insights into the cooling effects related to urban green space landscapes in semiarid cities. Firstly, trees and lawns show a noticeable disparity in land surface temperature (LST) response to urban green landscape metrics, primarily due to the difference in cooling efficiency via evapotranspiration. This disparity can be explained further by the radiation-shading effect of trees. Secondly, analysis confirms that the composition of urban green space has a substantial impact on LST throughout summer. This pattern is largely stable for trees owing to the constant Bowen ratio, but they are altered for lawns. Conversely, the configurations of urban green space exhibit less impact on LST. These effects vary temporally in magnitude and can be enhanced notably in humid conditions. The lower correlation between the configuration metrics of urban green and LST has to do with the surface resistance alterations and additional cooling effects. Finally, consistent patterns of the impact of urban green space landscape metrics on LST are illustrated at different spatial scales and region sizes but greater effects are revealed for smaller analytical units, further confirming the impacts of urban green landscape on urban thermal environment.
WOS关键词ANTHROPOGENIC HEAT DISCHARGE ; EMISSIVITY SEPARATION ; SPATIAL CONFIGURATION ; ENERGY-BALANCE ; ISLAND ; TEMPERATURE ; PATTERN ; IMPACTS ; TREES ; ASTER
资助项目National Natural Science Foundation of China[42141007] ; National Natural Science Foundation of China[41671362]
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:000748644800002
出版者ELSEVIER
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/170146]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Shudong
作者单位1.Brown Univ, Inst Brown Environm & Soc, Providence, RI 02912 USA
2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
4.North Carolina State Univ, Ctr Geospatial Analyt, Raleigh, NC 27695 USA
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Liu, Kai,Li, Xueke,Wang, Shudong,et al. Assessing the effects of urban green landscape on urban thermal environment dynamic in a semiarid city by integrated use of airborne data, satellite imagery and land surface model[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2022,107:15.
APA Liu, Kai,Li, Xueke,Wang, Shudong,&Gao, Xiaojie.(2022).Assessing the effects of urban green landscape on urban thermal environment dynamic in a semiarid city by integrated use of airborne data, satellite imagery and land surface model.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,107,15.
MLA Liu, Kai,et al."Assessing the effects of urban green landscape on urban thermal environment dynamic in a semiarid city by integrated use of airborne data, satellite imagery and land surface model".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 107(2022):15.

入库方式: OAI收割

来源:地理科学与资源研究所

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