DocumentCode
2320964
Title
The precise monitoring of Beijing thermal behaviour
Author
Liu-sheng, Han ; Lin, Sun ; Yao-ting, Wang
Author_Institution
Dept. of Remote Sensing Sci. & Technol., Shandong Univ. of Sci. & Technol., Qingdao, China
fYear
2009
fDate
20-22 May 2009
Firstpage
1
Lastpage
5
Abstract
This paper uses the temperature product of Modis by the Terra satellite. Isograms, anomaly value and indirect method are applied to analyze the daily variation, seasonal variation and annual variation of Beijing heat field. The results show that isograms are tidier in the evening compared with the day. And the temperature gradient is diminishing from the city center to the edge of urban areas. The heat island effect is the strongest during the day in the summer of all seasons during the day and night. The heat island in the evening of the four seasons is as obvious as the day in the spring and fall. The increasing temperature, the enhancing intensity and the expanding area of the heat island are the current situation of Beijing which are the result of the multiplying of the population. Because of the limited data, further studies are needed to study the seasonal variation and annual variation of Beijing.
Keywords
atmospheric radiation; atmospheric temperature; remote sensing; sunlight; Beijing; China; Isograms; MODIS satellite; Terra satellite; annual temperature variation; anomaly value; heat island effect; indirect method; seasonal temperature variation; solar radiation; temperature gradient; thermal behaviour monitoring; urban areas; Cities and towns; Educational institutions; Infrared heating; MODIS; Meteorology; Remote monitoring; Satellites; Sun; Temperature distribution; Thermal pollution; MODIS temperature product; annual variation; anomaly value; daily variation; isograms; seasonal variation; thermal field intensity spatial distribution; urban heat island;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event, 2009 Joint
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3460-2
Electronic_ISBN
978-1-4244-3461-9
Type
conf
DOI
10.1109/URS.2009.5137617
Filename
5137617
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