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Liu Baoyin,Wang Yanfeng. 1999. Remote sensing composite information's trend surface analysis of Nansha Islands coral islets and reefs'top. Acta Oceanologica Sinica, (1):87-96
Remote sensing composite information's trend surface analysis of Nansha Islands coral islets and reefs'top
Remote sensing composite information's trend surface analysis of Nansha Islands coral islets and reefs'top
Received:September 21, 1997  Revised:January 08, 1998
DOI:
Key words:Nansha Islands  coral reefs  remote sensing  geomorphology  trend surface  mathematical model
中文关键词:  Nansha Islands  coral reefs  remote sensing  geomorphology  trend surface  mathematical model
基金项目:This research was supported by the National Natural Science Foundation of China under contract No. 49571054.
Author NameAffiliation
Liu Baoyin First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
Wang Yanfeng First Institute of Oceanography, State Oceanic Administration, Qingdao 266003, China 
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Abstract:
      Based on the remote,ensing information feature of Nansha coral inlet, and reef, that controlled by the Nansha Islands local area's geological structure and growth law, by means of mathematical model and PC, the Nansha Islands coral islets and reefs' top geological data' spatial distribution and local change trend are simulated by using the trend surface system on the remote sensing composite information, and an scientific interpretation and local comparison of Nansha coral islands and islets' spatial distribution feature are made.
中文摘要:
      Based on the remote,ensing information feature of Nansha coral inlet, and reef, that controlled by the Nansha Islands local area's geological structure and growth law, by means of mathematical model and PC, the Nansha Islands coral islets and reefs' top geological data' spatial distribution and local change trend are simulated by using the trend surface system on the remote sensing composite information, and an scientific interpretation and local comparison of Nansha coral islands and islets' spatial distribution feature are made.
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