| 李源培,李林瀚,何明祯,赵飞,何忠,万卫,李君祥,姜杰,周艺彪,姜庆五.基于CBERS-02B卫星CCD影像的东洞庭湖区洲滩钉螺孳生地探测[J].中华流行病学杂志,2011,32(6):583-586 |
| 基于CBERS-02B卫星CCD影像的东洞庭湖区洲滩钉螺孳生地探测 |
| Snail habitats detection in the marshland of Eastern Dongting Lake Area, based on China-Brazil Earth Resources Satellite-02B CCD data |
| 收稿日期:2010-11-12 出版日期:2014-09-10 |
| DOI： |
| 中文关键词: 钉螺孳生地 中巴地球资源卫星02B 湖沼地区 植被指数 水体差异指数 |
| 英文关键词: Snail habitats China-Brazil Earth Resources Satellite-02B Lake area Normalized difference vegetation index Normalized difference water index |
| 基金项目:国家科技重大专项(2008ZX10004-011);国家高技术研究发展计划(863计划)(2006AA02Z402);上海市重点学科建设项目(B118) |
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| 中文摘要: |
| 目的 利用中巴地球资源卫星02B(CBERS-02B)卫星CCD影像,结合遥感(RS)与地理信息系统(GIS)相关技术,快速确定东洞庭湖区洲滩的可能钉螺孳生地.方法 结合湖区洲滩钉螺适宜孳生地的两个典型特征:"冬陆夏水"的季节性淹水和"无草不见螺",利用遥感影像处理技术,分别计算出"冬陆夏水"区域和有植被覆盖区域,再将两区域叠加确定钉螺孳生地.最后与钉螺洲滩资料进行空间叠加对比验证.结果 在东洞庭湖区,以水体差异指数(NDWI)>0.01确定"冬陆夏水"区域,以植被指数(NDVI)>0.36确定有植被覆盖区域,两区域叠加即为可能的钉螺孳生地区域.该区域与钉螺点空问资料的叠加对比验证显示符合率高达93.55%,提示预测结果良好.结论 CBERS-02B卫星影像可以发现钉螺区域的分布特征和变化趋势,钉螺指数法(判别式1和2)适合用于湖沼地区洲滩钉螺孳生地的探测. |
| 英文摘要: |
| Objective To detect the snail habitats from the marshland of Eastern Dongting Lake Area, using the Remote Sensing (RS) and Geographic Information System (GIS) technology based on the China-Brazil Earth Resources Satellite-02B (CBERS-02B) CCD images. Methods According to the two typical traits of snail habitats in marshland including "water in summer and land in winter" and "no grass, no snails", the "water in summer and land in winter" region and the vegetation coverage region were calculated by RS image processing respectively. The two regions mentioned above were then overlapped to confirm the snail habitats through comparing with the data from field survey under spatial overlapping of Arcgis as the last step. Results In Eastern Dongting Lake area, the "water in summer and land in winter" region and vegetation coverage region were predicted based on the formula normalized difference water index (NDWI) >0.01 and normalized difference vegetation index (NDVI) >0.36, respectively. The snail habitat was determined by theme overlay of the two regions said above.The agreement rate between the prediction and the geospatial data of field survey was 93.55%, which demonstrated the final results were credible and reliable. Conclusion CBERS-02B image could be used to detect the snail habitats and to monitor the changes of them, so as to find out the characteristics of distribution and the trends of diffusion. The snail index (discriminant 1 and 2) seemed to be suitable for the detection of snail habitats in the marshland of Lake area and used for the programs of snail control. |
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