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

JIANG Jian  jun; NI Shao  xiang; WEI Yu  chun

doi:10.11834/jrs.20020512

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Knowledge Based Grasshopper Habitat Classification Approach Supported by GIS in Qinghai Lake Region
Issue 5, Pages: 387-392(2002)
Published：2002
DOI： 10.11834/jrs.20020512
稿件说明：

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[1]蒋建军,倪绍祥,韦玉春.GIS辅助下的环青海湖地区草地蝗虫生境分类研究[J].遥感学报,2002(05):387-392. DOI： 10.11834/jrs.20020512.

JIANG Jian jun, NI Shao xiang, WEI Yu chun. Knowledge Based Grasshopper Habitat Classification Approach Supported by GIS in Qinghai Lake Region[J]. Journal of Remote Sensing, 2002, (5): 387-392. DOI： 10.11834/jrs.20020512.

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 .2 3%。研究表明

克氏针茅草原、芨芨草草原、紫花针茅草原是草地蝗虫多发的生境类型

占整个研究区总面积的2 9.0 9%。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。

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.