DocumentCode :
2323065
Title :
Research on atmosphere parameter model of heat island effect in city based on CORS
Author :
Zhou Li ; Jiang Tingchen ; Lu Xia
Author_Institution :
Sch. of Geodesy & Geomatics Eng., Huaihai Inst. of Technol., Lianyungang
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
6
Abstract :
EOS ASTER data to retrieve land surface temperature (LST) is to be discussed and an optimal Mono-window algorithm is to be presented by eliminating the influence of atmosphere radiation. Due to inaccuracy of the present inversion algorithm to retrieve parameters such as average temperature influenced by atmosphere and transmission ratio of atmosphere according to LST, a new atmosphere parameter model to increase the accuracy of LST is to be put forward. Atmosphere water vapor is retrieved from GPS data of Continuous Operational Reference System (CORS). And a relation model between CORS and atmosphere water vapor is to be established to obtain atmosphere parameters for thermal infrared bands so as to improve the inversion precision for LST. The study is based on the tomography principle of grid to obtain accurate atmosphere water vapor content in tropospheic path. This parameter model has been validated to be of superiority by applying to retrieving atmosphere parameters form LST of Lianyungang City as well as by means of atmospheric simulation emendation method.
Keywords :
Global Positioning System; atmospheric boundary layer; atmospheric humidity; atmospheric radiation; atmospheric temperature; remote sensing; CORS; Continuous Operational Reference System; EOS ASTER data; Lianyungang City; atmosphere parameter model; atmosphere radiation; atmosphere water vapor; heat island effect; land surface temperature; optimal mono-window algorithm; thermal infrared bands; tomography principle; Atmosphere; Atmospheric modeling; Cities and towns; Earth Observing System; Global Positioning System; Information retrieval; Land surface; Land surface temperature; Thermal pollution; Tomography;
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.2009.5137731
Filename :
5137731
Link To Document :
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