中国寄生虫学与寄生虫病杂志
中國寄生蟲學與寄生蟲病雜誌
중국기생충학여기생충병잡지
CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES
2002年
4期
205-208
,共4页
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
伍衛平%George Davis%劉紅雲%Edmund Seto%呂尚標%張晶%華政輝%郭傢鋼%林丹丹%陳紅根%Peng Gong%馮正
오위평%George Davis%류홍운%Edmund Seto%려상표%장정%화정휘%곽가강%림단단%진홍근%Peng Gong%풍정
钉螺孳生地%遥感%鄱阳湖
釘螺孳生地%遙感%鄱暘湖
정라자생지%요감%파양호
snail habitat%remote sensing%Poyang Lake
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100个调查点,75个为从鄱阳湖574块草洲中随机抽取.根据历史调查(1982～1984),其中50个有螺,25个无螺,另25个为非钉螺孳生地调查点.将每个调查点(面积10 000 m2)分成100格,从中随机抽取20格,在每格的中央置钉螺调查框(4 m2),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61.1%～68.6%.1 999～2000年,鄱阳湖区估算的钉螺孳生地面积变幅为623.4～762.8 km2.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.
目的結閤遙感技術和地麵生態學調查數據區分釘螺孳生地併鑑測其變化.方法從鄱暘湖共選擇100箇調查點,75箇為從鄱暘湖574塊草洲中隨機抽取.根據歷史調查(1982～1984),其中50箇有螺,25箇無螺,另25箇為非釘螺孳生地調查點.將每箇調查點(麵積10 000 m2)分成100格,從中隨機抽取20格,在每格的中央置釘螺調查框(4 m2),收集框內所有釘螺.收集與地麵調查同期的TM衛片.採用非鑑督分類法對衛片進行分類併結閤地麵調查結果區分釘螺孳生地.結果分類的敏感性和特異性分彆為90.0%～95.6%和61.1%～68.6%.1 999～2000年,鄱暘湖區估算的釘螺孳生地麵積變幅為623.4～762.8 km2.結論釘螺孳生地與植被覆蓋的區域有關,衛片分類能用于區分釘螺孳生地確定其範圍併鑑測其隨關鍵因素的波動而造成的變化.
목적결합요감기술화지면생태학조사수거구분정라자생지병감측기변화.방법종파양호공선택100개조사점,75개위종파양호574괴초주중수궤추취.근거역사조사(1982～1984),기중50개유라,25개무라,령25개위비정라자생지조사점.장매개조사점(면적10 000 m2)분성100격,종중수궤추취20격,재매격적중앙치정라조사광(4 m2),수집광내소유정라.수집여지면조사동기적TM위편.채용비감독분류법대위편진행분류병결합지면조사결과구분정라자생지.결과분류적민감성화특이성분별위90.0%～95.6%화61.1%～68.6%.1 999～2000년,파양호구고산적정라자생지면적변폭위623.4～762.8 km2.결론정라자생지여식피복개적구역유관,위편분류능용우구분정라자생지학정기범위병감측기수관건인소적파동이조성적변화.
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 historicalsurvey (1982-1984); 25 sites with habitats that did not have snails were also selected. Each site, covering 10 000 m2 , wasdivided into a grid of 100 cells from which 20 cells were randomly selected. Snails, when present, were collected from a 4m2 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.
