期刊文献+

应用ETM^+遥感图像监测山区钉螺分布 被引量:4

APPLICATION OF LANDSAT7-ETM^+ IMAGE IN SURVEILLANCE OF SNAIL DISTRIBUTION IN MOUNTAIN AREAS
下载PDF
导出
摘要 目的 分析ETM+ 遥感卫星图像中植被指数与山区钉螺分布之间的关系 ,为进一步建立钉螺分布的遥感预测模型提供理论依据。 方法 现场测量江宁县 2 0 0 0年各钉螺孳生地经纬度 ,在ERDAS 8.5软件支持下将ETM+ 卫星图像中的 3、4波段合成为江宁县植被指数图层 ,利用ArcView8.0软件制作钉螺分布Vector图层 ,提取各钉螺孳生地植被指数 ;用相关性分析法和多元逐步回归分析法研究图层中植被指数与钉螺分布间的关系。 结果 山区各钉螺孳生地活螺框出现率与该钉螺孳生地缓冲区内最小NDVI值及平均NDVI值呈正相关 (r分别为 0 .3 5 6、0 .3 44,P <0 .0 5 ) ;钉螺密度与各钉螺孳生地缓冲区内最大、最小及平均NDVI值呈正相关 (r分别为 0 .418、0 .43 3、0 .44 8,P <0 .0 1)。回归分析结果显示 ,山区各钉螺孳生地活螺框出现率与平均NDVI(Nmean)有关 [Y1=160 .62Nmean(R2 =0 .67,P <0 .0 1) ] ;山区钉螺密度与平均NDVI值有关 [Y2 =9.65Nmean(R2 =0 .5 3 ,P <0 .0 1) ]。 结论 ETM + 遥感卫星图像可以监测山区钉螺的分布。 Objective To analyze the relationship between NDVI of Landsat7-ETM + image and the snail distribution in mountain areas,to provide the theoretic foundation for establishing the remote sensing forecast model for snail habitats distribution. Methods The NDVI was extracted from ETM + image by vector chart of the snail distribution using ArcView8.1 and ERDAS 8.5 software: The relationship between NDVI and the snail distribution was investigated using bivariate correlations and stepwise linear regression. Results The incidence of pixel with the alive snail on mountain correlated positively with the minimum NDVI,mean NDVI ( r= 0.356 ,0.344,P <0.05).Otherwise the snail density on mountain correlated positively with the minimum NDVI,mean NDVI,maximum NDVI( r=0.418,0.433,0.448,P <0.01). Regression results showed that the incidence of pixel with the alive snail on mountain correlated with the mean NDVI \[Y 1 =160.62Nmean( R 2 =0.67,P <0.01)\];the snail density on mountain correlated with the mean NDVI\[Y 2 =9.65 Nmean( R 2 =0.53,P <0.01)\]. Conclusion The ETM + satellite images can be used to survey the distribution of snail on mountain.
出处 《中国寄生虫病防治杂志》 CSCD 2004年第3期143-145,F003,共4页 Chinese Journal of Parasitic Disease Control
基金 全军"十五"指令性课题 (No .0 1L0 78) 第四军医大学"创新工程"课题 (No.CX99F0 0 9)
关键词 钉螺 ETM^+遥感图像 植被指数 Snail ETM + remote sensing image the normalized difference vegetation index(NDVI)
  • 相关文献

参考文献16

  • 1周晓农,洪青标,孙乐平,胡晓抒,孙宁生,M.Fuetes,J.B.Malone.地理信息系统应用于血吸虫病的监测 Ⅰ.应用预测模型的可能性[J].中国血吸虫病防治杂志,1998,10(6):321-324. 被引量:58
  • 2周晓农,胡晓抒,孙宁生,洪青标,孙乐平,闾国年,M.Fuentes,J.B.Malone.地理信息系统应用于血吸虫病的监测──Ⅱ.流行程度的预测[J].中国血吸虫病防治杂志,1999,11(2):66-70. 被引量:77
  • 3田庆久,闵祥军.植被指数研究进展[J].地球科学进展,1998,13(4):327-333. 被引量:570
  • 4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].中华流行病学杂志,2001,22(2):114-115. 被引量:28
  • 5Hassan AN, Dister S, Beck LR, et al. Spatial analysis of lymphatic filariasis distribution in the Nile Delta in relation to some environmental variables using geographic information system technology[J]. J Egypt Soc Parasitol,1998,28(1):119-131.
  • 6Chai GJ, Yang XW, Zheng FL, et al. Shistosomiasis infection in anti-flood military in the summer of 1998[J]. Chin Pub Heal, 1999,15(suppl):93-94.
  • 7Zhou XN , Yang GJ , Sun LP, et al. Application of geographic information systems on schistomoiasis[J].Chin J Schistosomiasis Control,1999,11:39-42.
  • 8Malone JB, Yilma JM, Hlbahy MM, et al. Geomorphic information system and the distribution of Schistosoma mansoni in Nile delata [J]. Parasitology Today,1997,13:112-119.
  • 9Malone JB, Gommes R, Hansen J, et al. The geomorphic information system of snail borne disease in endemic areas using satellite surveillance[J].Mem Inst Oswaldo Crus,1995,90(2):205-209.
  • 10Malone JB, Huh OK. Temperature data from satellite imagery and the distribution of schistosomiasis in Egypty[J]. Am J Trop Med Hyg,1994,50(6):714-722.

二级参考文献19

  • 1肖荣炜,孙庆祺,陈云庭.南水北调是否会引起釘螺北移的研究[J].地理研究,1982,1(4):73-79. 被引量:28
  • 2郑江 邱宗林 等.我国血吸虫病传播与一些环境因素关系.国际血吸虫病学术讨论会论文集[M].北京,1992.50.
  • 3邵葆若 许学积.钉螺人工感染血吸虫的研究[J].中华医学杂志,1956,42:357-357.
  • 4Qi J,Remote Sens Environ,1993年,44卷,89页
  • 5朱中亮.我国钉螺地理分布与第四系地层分布的关系.国际血吸虫病学术讨论会论文集,1 992.120.
  • 6Openshao S. Geographic information systems and tropical diseases. Trans. Roy. Soci.Trop. Med. Hyg. 1996,90:337-339.
  • 7FAO. FAOCLIM 1.2 A CD-ROM with world-wide agroclimatic data. User's Manual. Agrometerorology working paper series No.11,FAO, Rome, ltaly, +ICD-ROM,68pp.
  • 8Pesigan T. P. , Halrston N. G. ,Jauregui J.J. , et al. Studies on Schistosoma japonicum infection in the Philipines 2. The molluscan host. Bull. Wld. Hlth. Org. 1958,18 :481.
  • 9Malone J, B. , Yilma J. M. , Hlbahy M.M. , et al. Geographic Information System sand snail born disease in Africa, Proceedings of ‘Workshop on Medical Malacolgy in Africa ’, Harare, Zimbabwe, September1997,22-26.
  • 10Cross E. R., Sheffield C. Prediction of areas endemic for schistosomiasis using weather variables and Landsat data base. Military Med. 1984,149(10): 542.

共引文献705

同被引文献62

引证文献4

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部