干旱区生态环境知识资源中心(Arid): 基于高光谱遥感的荒漠草原鼠洞识别方法研究

Arid

	基于高光谱遥感的荒漠草原鼠洞识别方法研究
其他题名	Study on the Identification Method of Rat Holes in Desert Grasslands Based on Hyperspectral Images
	朱相兵; 毕玉革; 刘浩; 皮伟强; 张锡鹏; 邵宇龙
来源期刊	土壤通报
ISSN	0564-3945
出版年	2020
卷号	51 期号:2 页码:263-268
中文摘要	鼠害是造成草原退化、载畜量下降和牲畜流行病的主要根源之一。无植被覆盖的鼠洞亦是加剧草原退化进程中极为重要的因素。我国草原鼠害监测标准与危害分级均以草原鼠洞洞口数为主要依据,然而多年来鼠洞洞口数的获取一直使用着人工调查方法,难以满足大面积草原鼠害监测要求。本文使用高光谱遥感技术通过采集自然光下草原鼠洞的高光谱数据,首次提出了基于高光谱荒漠草原的微斑块指数阈值法(Micro-Plaque Index Threshold,MPI-T)进行草原鼠洞识别。研究结果表明,采用MPI-T法可使草原鼠洞的总体分类精度达到92.7%,kappa系数达到0.855,满足草原鼠洞的高光谱识别要求,克服了草原鼠洞识别精度低的难题。本研究提出的MPI-T法为利用遥感技术进行草原鼠洞的识别及草原鼠害的等级评价提供了新方法。
英文摘要	Rat damage is one of the main causes for grassland degradation,decline in grazing capacity,and livestock epidemics.Rat holes without vegetation cover are also extremely important factors in acceleration of grassland degradation.The Chinese standard for monitoring of rat damage in grassland and hazard rating are based on the number of rat holes in grassland.However,manual survey methods have been used to obtain the number of rat holes in grassland for many years and it is difficult to meet the requirements for monitoring of large-scale rat damage in grassland.For the first time,this paper put forward a Micro-Plaque Index Threshold(MPI-T)method based on hyperspectral desert steppe for identification of rat holes in grassland by means of hyperspectral remote sensing technology through collection of hyperspectral data of rat holes in grassland under natural light.The study results show that using the MPI-T method,the overall classification accuracy of rat holes in grassland reached 92.7%,kappa coefficient was up to 0.855,the hyperspectral identification requirements of rat holes in grassland were satisfied and the problem with low identification accuracy of rat holes in grassland was better overcome.The MPI-T method proposed in this study provides a new method for the identification of rat holes in grassland and the rating evaluation of grassland rat damage.
中文关键词	高光谱遥感 ; MPI-T法 ; 鼠洞 ; 识别研究
英文关键词	Hyperspectral remote sensing MPI-T method Rat holes Identification research
类型	Article
语种	中文
收录类别	CSCD
WOS研究方向	Agriculture
CSCD记录号	CSCD:6765105
来源机构	内蒙古农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/336694
作者单位	朱相兵, 内蒙古农业大学机电工程学院, 呼和浩特, 内蒙古 010018, 中国.; 毕玉革, 内蒙古农业大学机电工程学院, 呼和浩特, 内蒙古 010018, 中国.; 刘浩, 内蒙古农业大学机电工程学院, 呼和浩特, 内蒙古 010018, 中国.; 皮伟强, 内蒙古农业大学机电工程学院, 呼和浩特, 内蒙古 010018, 中国.; 张锡鹏, 内蒙古农业大学机电工程学院, 呼和浩特, 内蒙古 010018, 中国.; 邵宇龙, 内蒙古农业大学机电工程学院, 呼和浩特, 内蒙古 010018, 中国.
推荐引用方式 GB/T 7714	朱相兵,毕玉革,刘浩,等. 基于高光谱遥感的荒漠草原鼠洞识别方法研究[J]. 内蒙古农业大学,2020,51(2):263-268.
APA	朱相兵,毕玉革,刘浩,皮伟强,张锡鹏,&邵宇龙.(2020).基于高光谱遥感的荒漠草原鼠洞识别方法研究.土壤通报,51(2),263-268.
MLA	朱相兵,et al."基于高光谱遥感的荒漠草原鼠洞识别方法研究".土壤通报 51.2(2020):263-268.