| 姜庆五,林丹丹,刘建翔,陈红根,林涛,韦建国,赵根明,张绍基.应用卫星图像对江西省蚌湖钉螺孳生草洲植被的分类研究[J].Chinese journal of Epidemiology,2001,22(2):114-115 |
| 应用卫星图像对江西省蚌湖钉螺孳生草洲植被的分类研究 |
| Cluster analysis study on the marshland of Schistosoma Japonicum using satellite TM image data in Peng Lake, Jiangxi province |
| Received:October 30, 2000 |
| DOI： |
| KeyWord: 遥感分析 血吸虫病 流行病学 |
| English Key Word: Analysis of the remote sensing Schistosomiasis Epidemiology |
| FundProject:国家自然科学基金资助项目( 39970657) |
| Author Name | Affiliation | | JIANG Qingwu | Department of Epidemiology School of Public Health, Fudan University, Shanghai 200032, China | | LIN Dandan | 江西省血吸虫病防治研究所流行病学研究室 | | LIU Jianxiang | Department of Epidemiology School of Public Health, Fudan University, Shanghai 200032, China | | CHEN Genhong | 江西省血吸虫病防治研究所流行病学研究室 | | LIN Tao | Department of Epidemiology School of Public Health, Fudan University, Shanghai 200032, China | | WEI Jinguo | Department of Epidemiology School of Public Health, Fudan University, Shanghai 200032, China | | ZHAO Genming | Department of Epidemiology School of Public Health, Fudan University, Shanghai 200032, China | | ZHANG ShaojI | 江西省血吸虫病防治研究所流行病学研究室 |
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| Abstract: |
| 目的利用陆地卫星(Landsat)专题制图仪(ThematicMapper,TM)遥感图像对血吸虫病中间宿主钉螺孳生的洲滩植被进行分类。方法在遥感图像处理软件ERDASIMAGINE支持下，通过卫星TM图像的合成和聚类分析，对江西省鄱阳湖的蚌湖周围的草洲植被进行分类。然后通过现场调查确定不同类别的地物属性，并将分类结果合并、整理。结果蚌湖草洲被划分为8个地表类别，其中第2类苔草带为钉螺主要的孳生地。结论聚类分析能将钉螺孳生地的植被种类分辨出来。此方法有助于对与生态有关的疾病的环境进行分类，为血吸虫病流行病学的研究提供了新的工具。 |
| English Abstract: |
| Objective To create a category land cover map of the marshland region of Schistosoma Japonicum using satellite TM data.Methods TM satellite images from Peng Lake of Jiangxi province were applied to the Cluster analysis.Then the resulting clusters were identified and reclassified by undertaking site visits.Results Eight land cover classes were generated, including Carexspp Zone that was the snail habitat place.Conclusion Cluster analysis, which is a technique for the interpretation of remotely sensed imagery, could contribute to the study on the distribution of snail habitats and become a new tool for the epidemiological ecology study. |
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