干旱区生态环境知识资源中心(Arid): EFFECTS OF CLOUD ON LAND SURFACE TEMPERATURE (LST) CHANGE IN THERMAL INFRARED REMOTE SENSING IMAGES: A CASE STUDY OF LANDSAT 8 DATA

Arid

DOI	10.1109/IGARSS39084.2020.9324415
	EFFECTS OF CLOUD ON LAND SURFACE TEMPERATURE (LST) CHANGE IN THERMAL INFRARED REMOTE SENSING IMAGES: A CASE STUDY OF LANDSAT 8 DATA
	Abbasi, Bilawal; Qin, Zhihao; Du, Wenhui; Li, Shifeng; Fan, Jinlong; Zhao, Shuhe
通讯作者	Qin, ZH (corresponding author), Chinese Acad Agr Sci, Inst Agroresources & Reg Planning, MOA Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China.
会议名称	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	SEP 26-OCT 02, 2020
会议地点	ELECTR NETWORK
英文摘要	Clouds exert a great influence on land surface temperature (LST). It remains unclear how clouds affect the LST change in satellite images. The focus of the study is to examine the effects of cloud on LST change in Landsat 8 images over various ground surface types, cloud sizes and seasonal scales. The difference between solar and satellite geometry over the images provides the possible way to identify the impact of cloud in Landsat 8 images. The shadow of cloud represents the true effects of cloud on LST change. Using the available mono-window algorithm, we were able to retrieve the L ST of the shadow for the analysis of the cloud effects. Four typical ground surfaces were selected for the analysis: desert/bare surface, vegetation, urban and water covered area. The L ST difference between the shadow and its nearby clear-sky region represents the effects of cloud on L ST change in the corresponding ground surface. The results indicated that the, highest L ST difference was observed over dessert/barren land in the magnitude of 8.28 degrees C. Moreover, when the cloud size relatively smaller or larger the effect on LST slightly varies. The summer season has the most remarkable effect of cloud on LST change. The water surface has the lowest LST difference in overall cloud analysis. These change of LST under cloud in various conditions can be helpful for the studies which are focus on LST estimation during cloudy conditions.
英文关键词	Land surface temperature Cloud Landsat 8 data mono-window algorithm
来源出版物	IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
出版年	2020
页码	5430-5433
ISBN	978-1-7281-6374-1
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000664335305047
WOS关键词	MONO-WINDOW ALGORITHM ; RADIATION ; MODIS
WOS类目	Computer Science, Artificial Intelligence ; Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Optics
WOS研究方向	Computer Science ; Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Optics
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365597
作者单位	[Abbasi, Bilawal; Qin, Zhihao; Du, Wenhui; Li, Shifeng] Chinese Acad Agr Sci, Inst Agroresources & Reg Planning, MOA Key Lab Agr Remote Sensing, Beijing 100081, Peoples R China; [Fan, Jinlong] Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China; [Zhao, Shuhe] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Abbasi, Bilawal,Qin, Zhihao,Du, Wenhui,et al. EFFECTS OF CLOUD ON LAND SURFACE TEMPERATURE (LST) CHANGE IN THERMAL INFRARED REMOTE SENSING IMAGES: A CASE STUDY OF LANDSAT 8 DATA[C]:IEEE,2020:5430-5433.