中国寄生虫学与寄生虫病杂志 ›› 2002, Vol. 20 ›› Issue (4): 4-208.

• 论著 • 上一篇    下一篇

遥感用于鄱阳湖区钉螺孳生地的监测(英文)

伍卫平;George Davis;刘红云;Edmund Seto;吕尚标;张晶;华政辉;郭家钢;林丹丹;陈红根;Peng Gong;冯正
  

  1. 中国疾病预防控制中心寄生虫病预防控制所;Department of Microbiology and Tropical Medicine;江西寄生虫病研究所;School of Public Health;江西寄生虫病研究所;江西寄生虫病研究所;中国疾病预防控制中心寄生虫病预防控制所;中国疾病预防控制中心寄生虫病预防控制所;江西寄生虫病研究所;江西寄生虫病研究所;Center for Assessment and Monitoring of Forest and Environm ental Re-sources;中国疾病预防控制中心寄生虫病预防控制所 世界卫生组织疟疾、血吸虫病和丝虫病合作中心;上海200025;GeorgeWashingtonUniversityMedicalCenter;WashingtonD.C.20037;USA;南昌330046;University of California;Berkeley;California94720;USA;南昌330046;南昌330046;世界卫生组织疟疾、血吸虫病和丝虫病合作中心;上海200025;世界卫生组织疟疾、血吸虫病和丝虫病合作中心;上海200025;南昌330046;南昌330046;University of California;Berkeley;California94720;USA;世界卫生组织疟疾、血吸虫病和丝虫病合作中心;上海200025
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2002-08-30 发布日期:2002-08-30

Application of Remote Sensing for Surveillance of Snail Habitats in Poyang Lake, China

WU Wei-ping1;George Davis2;LIU Hong-yun3;Edmund Seto4;LU Shang-biao3;ZHANG Jing3;HUA Zheng-hui1;GUO Jia-gang1;LIN Dan-dan3;CHEN Hong-gen3;Peng Gong5;FENG Zheng11.   

  1. Institute of Parasitic Diseases;Chinese Center for Disease Control and Prevention;WHO Collaborating Centre for Malaria;Schistosomiasis and Filariasis;Shanghai 200025; . 2. Department of Microbiology and Tropical Medicine;George Washington University Medical Center;Washington D.C. 20037;USA; . 3. Jiangxi Provincial Institute of Parasitic Diseases;Nanchang 330046; . 4. School of Public Health;University of California;Berkeley;California 94720;USA; . 5. Center for Assessment and Monitoring of Forest and Environmental Resources;University of California;Berkeley;California 94720;USA
  • Received:1900-01-01 Revised:1900-01-01 Online:2002-08-30 Published:2002-08-30

摘要:   目的 结合遥感技术和地面生态学调查数据区分钉螺孳生地并监测其变化。 方法 从鄱阳湖共选择10 0个调查点 ,75个为从鄱阳湖 5 74块草洲中随机抽取。根据历史调查 (1982~ 1984 ) ,其中 5 0个有螺 ,2 5个无螺 ,另2 5个为非钉螺孳生地调查点。将每个调查点 (面积 10 0 0 0 m2 )分成 10 0格 ,从中随机抽取 2 0格 ,在每格的中央置钉螺调查框 (4m2 ) ,收集框内所有钉螺。收集与地面调查同期的 TM卫片。采用非监督分类法对卫片进行分类并结合地面调查结果区分钉螺孳生地。 结果 分类的敏感性和特异性分别为 90 .0 %~ 95 .6 %和 6 1.1%~ 6 8.6 %。 1999~ 2 0 0 0年 ,鄱阳湖区估算的钉螺孳生地面积变幅为 6 2 3.4~ 76 2 .8km2。 结论 钉螺孳生地与植被覆盖的区域有关 ,卫片分类能用于区分钉螺孳生地确定其范围并监测其随关键因素的波动而造成的变化。

关键词: 钉螺孳生地, 遥感, 鄱阳湖

Abstract:  Objective To identify snail habitats and monitor the changes by combining remote sensing technique with the ground-based ecological data. . Methods. Of 100 survey sites selected throughout Poyang Lake, 75 were randomly identified from 574 land mass units: 50 were from snail habitats and 25 were from non-snail habitats based on a historical survey (1982-1984); 25 sites with habitats that did not have snails were also selected. Each site, covering .{10 000.} m2, was divided into a grid of 100 cells from which 20 cells were randomly selected. Snails, when present, were collected from a 4 m2 frame placed in the center of the selected cell. Satellite Landsat TM images were obtained for the same period as the ground survey data collected. Unsupervised classification was used to classify the images. Identified land-cover types were correlated with snail habitat. . Results . The sensitivity and specificity of classified snail habitat were 90.0%-95.6% and 61.1%-68.6%, respectively. Based on the classification, estimated snail habitat areas in Poyang Lake increased from 623.4 km2 in 1999 to 762.8 km2 in 2000. . Conclusion . Snail habitats are associated with grassland-covered areas. Classified images can be used to identify snail habitats, determine their areas, and monitor snail habitat changes caused by annual fluctuations of key environmental factors.

Key words: snail habitat, remote sensing, Poyang Lake