干旱区生态环境知识资源中心(Arid): 基于决策树的戈壁信息提取研究

Arid

	基于决策树的戈壁信息提取研究
其他题名	Gobi information extraction based on decision tree classification method
	冯益明; 智长贵; 姚爱冬
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2013
卷号	36 期号:1 页码:125-130
中文摘要	戈壁是我国西北干旱地区的一种主要地表景观类型。由于戈壁所处地带自然条件恶劣,人烟稀少不便于实地调查研究的开展,所以目前关于戈壁的研究资料非常少。本文以戈壁典型分布区内蒙古自治区额济纳旗为例,以Landsat TM遥感影像以及30 m DEM作为基本数据源,首先借助DEM数据,在GIS中,提取出非戈壁分布区,然后,在分析不同典型地物光谱特征基础上,建立基于知识的决策树信息提取模型,利用该模型实现了侵蚀型戈壁与堆积型戈壁信息的自动提取,戈壁信息提取总体精度达到91.57%,研究为使用遥感影像快速获取戈壁信息提供了技术支持。
英文摘要	Gobi is one of the main landscape types of earth’ s surface in the arid region of northwestern parts of China, with the total area of 458 000-757 000 km~2, accounting for the 4.8%-7.9% of China’s total land area. The gobi holds abundant natural resources such as minerals, wind energy and solar power. Meanwhile, many modern cities and towns and some important traffic routes were also constructed on the gobi region. The gobi region plays an important role in the construction of western economy. Therefore, it is important to launch the gobi research under current social and economic conditions, and accurately revealing the distribution and area of gobi is the base and premise of launching the gobi research. At present, it is difficult to do fieldwork due to the execrable natural conditions and the sparse dweller in the gobi region, which leads to the scarcity of research documents on the situation, distribution, type classification, transformation and utilization of gobi. The studied region of this paper is a typical gobi distribution region, locating in Ejina County in Inner Mongolia, China, and its climatic characteristics include lack of rain, more evaporation, full sunshine, large temperature difference and frequent windy sand weather. Using Remote Sensing imageries Landsat TM5 and TM7 of plant growth season of 2005-2010, the DEM with 30 m spatial resolution, administrative map, present land use map, field investigation data and related documents as the basic data resource. Firstly, the non-gobi distribution regions were extracted in GIS software by analyzing DEM. Then, based on the analysis of spectral characteristics of difference typical ground objects, the information extraction model of Decision Tree based on knowledge was constructed to classify the remote sensing imageries, and eroded gobi and cumulated gobi were relatively accurately separated. The general accuracy of the extracted gobi information reached 91.57%. There were few materials in China on using remote sensing date to study the extraction of gobi information. This study relatively accurately realized the automatous extraction of eroded gobi and cumulated gobi based on the remote sending data, and these results would provide the technical support for obtaining the gobi information quickly from remote sensing images.
中文关键词	戈壁 ; 决策树 ; 信息提取 ; 遥感技术
英文关键词	Gobi Decision Tree information extraction remote sensing
类型	Article
语种	中文
国家	中国
收录类别	CSCD
WOS类目	Remote Sensing
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:4781406
来源机构	中国林业科学研究院荒漠化研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/229500
作者单位	冯益明, 中国林业科学研究院荒漠化研究所, 北京 100091, 中国.; 姚爱冬, 中国林业科学研究院荒漠化研究所, 北京 100091, 中国.; 智长贵, 国家林业局调查规划设计院, 北京 100714, 中国.
推荐引用方式 GB/T 7714	冯益明,智长贵,姚爱冬. 基于决策树的戈壁信息提取研究[J]. 中国林业科学研究院荒漠化研究所,2013,36(1):125-130.
APA	冯益明,智长贵,&姚爱冬.(2013).基于决策树的戈壁信息提取研究.干旱区地理,36(1),125-130.
MLA	冯益明,et al."基于决策树的戈壁信息提取研究".干旱区地理 36.1(2013):125-130.