閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2009, Vol. 24 鈥衡�� Issue (1): 27-31.DOI: 10.11873/j.issn.1004-0323.2009.1.27

鈥� 鐮旂┒涓庡簲鐢� 鈥� 涓婁竴绡�    涓嬩竴绡�

鍩轰簬澶氭簮鏋佽建姘旇薄鍗槦鐑孩澶栨暟鎹殑杩戝湴琛ㄦ皵娓╁弽婕旂爺绌额��

绁濆杽鍙嬵��1,寮犳娆n��1,灏圭悆顎�2,鍖″畾娉㈩��3   

  1. (1.鍗椾含淇℃伅宸ョ▼澶у閬ユ劅瀛﹂櫌,姹熻嫃 鍗椾含銆�210044;2.涓浗绉戝闄㈤仴鎰熷簲鐢ㄧ爺绌舵墍,鍖椾含銆�100101;3.涓浗绉戝闄笂娴锋妧鏈墿鐞嗙爺绌舵墍,涓婃捣銆�200083)
  • 鍑虹増鏃ユ湡:2009-02-20 鍙戝竷鏃ユ湡:2009-07-29
  • 浣滆�呯畝浠�:绁濆杽鍙�(1977-),鐢�,璁插笀,鍗氬+,鐮旂┒鏂瑰悜涓虹儹绾㈠閬ユ劅鐨勫熀纭�鐞嗚涓庡簲鐢ㄣ�侲-mail锛歾syzgx@163.com銆�
  • 鍩洪噾璧勫姪:

    鍗椾含淇℃伅宸ョ▼澶у鏍$鐮斿熀閲戦」鐩�(S8107357001)璧勫姪銆�

The Study on the Retrieval of the Air Temperature Based on顎僊ulti-sources Polar Orbit Meteorological Satellite Data

ZHU Shan-you顎�1,ZHANG Gui-xin顎�1,YIN Qiu顎�2,KUANG Ding-bo顎�3   

  1.  (1.School of Remote Sensing,Nanjing University of Information Science &|Technology,Nanjing |210044,China;2.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;顎�3.Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China)
  • Online:2009-02-20 Published:2009-07-29

鎽樿锛�

浠ヤ笂娴蜂綔涓虹爺绌跺尯,閲囩敤澶氭簮鏋佽建姘旇薄鍗槦鐑孩澶栨尝娈垫暟鎹�,鍦ㄨ繘琛屾暟鎹澶勭悊鐨勫熀纭�涓婇�夋嫨264涓椂鐩�,涓�52涓皵璞$珯鐐圭殑鍚屾姘旀俯鏁版嵁杩涜鑰﹀悎,寤虹珛浜嗗垎瀛e害銆佸垎鏃舵鐨勪袱绉嶆皵娓╅仴鎰熷弽婕旀ā鍨嬨�傜粨鏋滆〃鏄�,鍩轰簬澶氭簮閬ユ劅鏁版嵁鐨勫ぇ閲忔牱鏈彲鐢ㄤ簬寤虹珛绋冲畾鐨勬皵娓╁弽婕旀ā鍨�,鑰屼笖閫氳繃瀹炴祴鐨勫崟涓珯鐐规暟鎹繘琛屾ā鍨嬩慨姝h兘澶熸彁楂樻皵娓╂按骞冲垎甯冪殑鍙嶆紨绮惧害銆�

鍏抽敭璇�: 澶氭簮, 鏋佽建姘旇薄鍗槦, 鐑孩澶�, 姘旀俯

Abstract:

Taking Shanghai region as the study areas,by using thermal infrared data of multi-sources polar orbit meteorological satellite,the research selected 264 preprocessed images to couple with the synchronous air temperature data gathered from 52 weather stations and then built two kinds of air temperature retrieval models changed with seasons and times.Results showed that the stable models for retrieving the air temperature could be constructed based on large numbers of samples from multi-sources remote sensed data,and furthermore the retrieval precision could be improved by using a field-measured data to modified the model.

Key words: Multi-sources, Polar orbit meteorological satellite, Thermal infrared, Air temperature

涓浘鍒嗙被鍙�: