首页 >  2002, Vol. 6, Issue (5) : 387-392

摘要

全文摘要次数: 3633 全文下载次数: 21
引用本文:

DOI:

10.11834/jrs.20020512

收稿日期:

2001-06-25

修改日期:

2001-11-23

PDF Free   HTML   EndNote   BibTeX
GIS辅助下的环青海湖地区草地蝗虫生境分类研究
1.南京大学国际地球系统科学研究所,江苏南京210008;2.南京师范大学地理科学学院,江苏南京210097
摘要:

草地蝗虫是危害中国广大草原地区的主要昆虫之一,针对草地蝗虫的生态特征,实现草地蝗虫生境类型的划分,是草地蝗灾管理迫切需要解决的课题之一.以环青海湖地区为例,使用TM影像数据和DEM,草地类型图等地理辅助数据,以及GPS定位的野外调查资料,从遥感图像处理/地理数据/专家知识一体化的角度出发,应用基于知识的方法进行环青海湖地区草地蝗虫生境类型的分类研究,其分类总精度为84.23%.研究表明,克氏针茅草原,芨芨草草原,紫花针茅草源是草地蝗虫多发的生境类型.占整个研究区总面积的29.09%,这为进一步加强环青海湖地区草地蝗虫的管理提供科学依据.

Knowledge Based Grasshopper Habitat Classification Approach Supported by GIS in Qinghai Lake Region
Abstract:

Grasshopper is a kind of primary pests damaged to a wide rangeland region in the west of China. According to its ecological features, classifying habitat types of grasshopper using remotely sensed is an important research project. The result is very important for rangeland management. For Qinghai Lake region, we applied the Landsat TM images, auxiliary geographical data including DEM, the specific map of rangeland types ect, and GPS Located field data. From the monolithic view point of image processing, geographical data and specialist knowledge, the grasshopper habitat was classitied by applying the methods based on knowledge. The classification accuracy is 84.23%. And three kinds of rengelard: Stipa krylovii, Achnatherum splendens, Stipa purpurea belong to frequently occurred site of grasshopper which take up 29.09% of whole research area. This result provides a basis for scientific management of rangeland pests.

本文暂时没有被引用!

欢迎关注学报微信

遥感学报交流群