干旱区生态环境知识资源中心(Arid): 基于热红外光谱的干旱区土壤盐分监测研究

Arid

	基于热红外光谱的干旱区土壤盐分监测研究
其他题名	Salt content monitoring on thermal infrared emissivity in arid area
	买买提·沙吾提 1; 吐尔逊·艾山 2; 塔西甫拉提·特依拜 1; 如则麦麦提·米吉提 1; 麦尔耶姆·亚森 1; 依力亚斯江·努尔麦麦提 1
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2017
卷号	40 期号:1 页码:181-187
中文摘要	土壤盐渍化是新疆最常见的土地退化过程,已经严重威胁到了当地的农业生产、生态稳定和经济发展。通过对渭库绿洲土壤含盐量和土壤热红外光谱分析,探讨了土壤含盐量与热红外发射率之间的定量关系。结果表明:(1)盐渍化土壤的发射率随着含盐量的变化而发生变化,当土壤盐分增加时,发射率也随之增大。(2)土壤含盐量与热红外发射率光谱数据相关性在8.5~9.5 mum波段范围内表现尤为显著,相关系数超过0.8,最高为0.90,对应波段范围9.259~9.271 mum。(3)运用回归模型一阶导数变换形式下建模效果和预测精度都是最优的,R~2达到了0.899,RMSE最小为1.734。热红外光谱技术可以反演土壤含盐量,为利用热红外遥感识别土壤盐分信息提供技术支撑。
英文摘要	Soil salinity is a critical problem in many arid and irrigated agricultural areas. It reduces soil quality and limits the growing of crops. Monitoring soil salinity is important for controlling this problem. During the last decades,many researches aim to develop methods for assessing,mapping,and monitoring salt-affected soils using remote sensing data in combination with field measurements. The methods were classified as visual interpretation of satellite imagery, digital analysis of multispectral remote sensing data, quantitative analysis of hyperspectral imagery and integrated modeling. The main objective of this study is to assess the usefulness of the thermal infrared (TIR) emissivity for predicting salt content. For this purpose, soil samples were collected from the field for laboratory determination in this study. And spectral data was acquired from Fourier Transform spectrometer (102F),predicting model was developed using a Regression Model. The spectral results show that different salt contents in soil exhibited different emissivity. The emissivity were extremely sensitive to salt content in the8.5-9.5 mum region, with a high correlation value (0.8 in the 9.259-9.271 mum region),holding a great promise for prediction of salt content; the Stepwise Multiple Regression Mode performed well (R~2=0.899, RMSE=1.734) based on the first derivative spectral pre-treatment. The results of this study indicate that infrared thermal data provide a useful tool for predicting salt content in soil that commonly occurs in aid region.
中文关键词	土壤含盐量 ; 热红外遥感 ; 发射率光谱 ; 数据变换 ; 多元回归
英文关键词	salt content Thermal Infrared Remote Sensing Soil emissivity spectra Stepwise multiple regression (SMR)
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:5907561
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/2XILL650/235917
作者单位	1.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; 2.新疆大学资源与环境科学学院, 乌鲁木齐, 新疆 830046, 中国
推荐引用方式 GB/T 7714	买买提·沙吾提,吐尔逊·艾山,塔西甫拉提·特依拜,等. 基于热红外光谱的干旱区土壤盐分监测研究[J]. 新疆大学,2017,40(1):181-187.
APA	买买提·沙吾提,吐尔逊·艾山,塔西甫拉提·特依拜,如则麦麦提·米吉提,麦尔耶姆·亚森,&依力亚斯江·努尔麦麦提.(2017).基于热红外光谱的干旱区土壤盐分监测研究.干旱区地理,40(1),181-187.
MLA	买买提·沙吾提,et al."基于热红外光谱的干旱区土壤盐分监测研究".干旱区地理 40.1(2017):181-187.