| Du Yunyan,Zhou Chenghu,Su Fenzhen,Liu Baoyin,Shao Quanqin. 2003. Extracting spatial patterns of ocean fishery using GIS and RS——Taking the East China Sea as an example. Acta Oceanologica Sinica, (1):25－34 |
| Extracting spatial patterns of ocean fishery using GIS and RS——Taking the East China Sea as an example |
| Extracting spatial patterns of ocean fishery using GIS and RS——Taking the East China Sea as an example |
| Received:August 26, 2002 Revised:December 28, 2002 |
| DOI： |
| Key words:GIS remote sensing ocean fishery spatial cluster |
| 中文关键词: GIS remote sensing ocean fishery spatial cluster |
| 基金项目:This research was partially supported by the National Hi-technology Program of China under contract No.2001AA633010,No.2001AA639080 and No.2002AA639460. |
| Author Name | Affiliation | | Du Yunyan | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China | | Zhou Chenghu | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China | | Su Fenzhen | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China | | Liu Baoyin | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | Shao Quanqin | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China |
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| Abstract: |
| The ocean fishery and the corresponding environment are highly interrelated according tothe production experiences of ocean fishing population.The spatial cluster patterns are constructed using the remote sensed data and long-time series fishery production data under the uniform coordinate based on GIS techniques.Thus,the hidden information of distribution regularities between ocean-hydrologic factors and central fishing ground can be extracted from these patterns.It is important to forecast the ocean fishery production. |
| 中文摘要: |
| The ocean fishery and the corresponding environment are highly interrelated according tothe production experiences of ocean fishing population.The spatial cluster patterns are constructed using the remote sensed data and long-time series fishery production data under the uniform coordinate based on GIS techniques.Thus,the hidden information of distribution regularities between ocean-hydrologic factors and central fishing ground can be extracted from these patterns.It is important to forecast the ocean fishery production. |
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