干旱区生态环境知识资源中心(Arid): 土壤光谱特征分析及盐渍化信息提取以新疆渭干河/库车河绿洲为例

Arid

	土壤光谱特征分析及盐渍化信息提取以新疆渭干河/库车河绿洲为例
其他题名	Soil spectrum characteristics and information extraction of salinization: a case study in Weigan-Kuqa Oasis in Xinjiang
	赵振亮; 塔西甫拉提·特依拜; 孙倩; 雷磊; 张飞
来源期刊	地理科学进展
ISSN	1007-6301
出版年	2014
卷号	33 期号:2 页码:280-288
中文摘要	土壤盐渍化严重制约土地生产力,实时监测土壤盐渍化有利于农业正常生产。选择新疆渭干河库车河绿洲的光谱反射率数据,研究不同程度盐渍化土壤的光谱特征;并对绿洲所在的库车县的环境与灾害监测预报小卫星的高光谱数据进行盐渍化信息提取。提取步骤为:首先对土壤光谱反射率数据进行14种形式的变换,再与土壤含盐量进行相关分析、逐步回归分析,建立估算不同盐渍化程度的土壤含盐量方程,用均方根误差验证方程的精度;其次,建立植被和土壤波谱库;最后,在波谱库的数据基础上,使用波谱角分类法(SAM)对环境与灾害监测预报小卫星的高光谱数据进行分类。用同步实测数据对分类效果进行精度评价,效果较好,这一结果为今后该区域的高光谱应用奠定了基础,对区域农民耕作方式提出了警示,为区域可持续发展实践提供了参考。
英文摘要	Soil salinization is a process of global land degradation, which hazards the environment. It is caused by inefficient irrigation and the excessive use of water. It reduces the productivity of land. Xinjiang is the typical area of arid and semi-arid region. The monitoring of soil salinization timely and effectively is not only beneficial to the production of agriculture, but also in favor of sustainable development of agricultural land. The purpose of this study is how to improve the classification accuracy. In this paper, the author uses Spectral Angle Mapper method extracting the information of soil salinaztion. In order to improve the accuracy of classification, the author determines the appropriate soil and vegetation spectral library. The appropriate soil and vegetation spectral library decide the accuracy. The use of field measurements of soil spectral reflectance is used to study the soil spectral characteristics. It is combined with hyperspectral data of the Chinese environmental and disaster monitoring and forecasting of small satellites and classified soil salinization based on hyperspectral image. In the first part of this paper, according to the definition of degree of soil salinaztion, four classed of soil are classified, namely non-salined soil, slight-salined soil, moderate-salined soil and heavy-salined soil. The data from four classes of soil can be converted to fourteen transforms of soil spectral reflectance. There are fifteen transforms of soil spectral reflectance. They are the original and the converted fourteen transforms of soil spectral reflectance. According to the findings of the correlation analysis of fifteen transforms of soil spectral reflectance with soil salt content, regression analysis are done. The equations are chosen to estimate soil salt content. And root mean square error (RMSE) is employed to verify the accuracy of the equations. The best equations of estimating soil salt content are decided. In the second part of this paper, the author decides the soil spectral library according to the result of spectral characteristics. The vegetation spectral library is based on field measurements and actual survey. In the final part of this paper, the author uses the SAM method to classify the hyperspectral image based on the soil spectral library and vegetation spectral library. Such a classification is proved good, laying the foundation for the region’s hyperspectral applications, giving warning to regional farmers for appropriate farming methods, provided the data for the region’s sustainable development. This article identifies the soil and vegetation spectral library of the study area. This helps to further study on spectral characteristics in this region. Environmental and disaster monitoring and forecasting of small satellite is designed and developed by our country. China centre for resources satellite data and application provided for our researchers free. HSI hyperspectral data is also China’s the only hyperspectral remote sensing images. This study attempts to contribute to our development of hyperspectral remote sensing images. To speed up the satellite for the applications of environmental monitoring. It is better for the country’s environmental monitoring services. The development of hyperspectral remote sensing images will bring a new opportunity and challenge to remote sensing technology. Our researchers should strive for the development of hyperspectral remote sensing technology. The development of hyperspectral remote sensing will promise a better future.
中文关键词	光谱特征 ; 盐渍化 ; 高光谱数据 ; 渭干河/库车河绿洲 ; 新疆
英文关键词	spectral characteristics soil salinization hyperspectral data Weigan-Kuqa Oasis Xinjiang
语种	中文
国家	中国
收录类别	CSCD
WOS类目	AGRICULTURE MULTIDISCIPLINARY
WOS研究方向	Agriculture
CSCD记录号	CSCD:5062859
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/230914
作者单位	新疆大学资源与环境科学学院, 绿洲生态教育部重点实验室, 乌鲁木齐, 新疆 830046, 中国
推荐引用方式 GB/T 7714	赵振亮,塔西甫拉提·特依拜,孙倩,等. 土壤光谱特征分析及盐渍化信息提取以新疆渭干河/库车河绿洲为例[J]. 新疆大学,2014,33(2):280-288.
APA	赵振亮,塔西甫拉提·特依拜,孙倩,雷磊,&张飞.(2014).土壤光谱特征分析及盐渍化信息提取以新疆渭干河/库车河绿洲为例.地理科学进展,33(2),280-288.
MLA	赵振亮,et al."土壤光谱特征分析及盐渍化信息提取以新疆渭干河/库车河绿洲为例".地理科学进展 33.2(2014):280-288.