干旱区生态环境知识资源中心(Arid): 荒漠土壤全磷含量热红外发射率光谱估算研究

Arid

	荒漠土壤全磷含量热红外发射率光谱估算研究
其他题名	Study on Estimation of Deserts Soil Total Phosphorus Content from Thermal-Infrared Emissivity
	侯艳军; 塔西甫拉提·特依拜; 张飞; 买买提·沙吾提; 依力亚斯江·努尔麦麦提
来源期刊	光谱学与光谱分析
ISSN	1000-0593
出版年	2015
卷号	35 期号:2 页码:350-354
中文摘要	土壤磷素为植物提供营养元素,是评价土壤质量的重要参数之一。传统的土壤全磷含量的测定方法不能实现对荒漠土壤养分有效监测,而运用遥感手段能够弥补传统手段的不足。有学者开展了通过近红外光谱来估算土壤全磷含量的研究,但由于土壤磷素近红外吸收系数小、吸收峰不明显等原因,使得土壤磷素估算的模型精度欠佳。为解决荒漠土壤全磷含量近红外光谱估算存在的不足,提高荒漠土壤全磷含量估算的精度,对准噶尔盆地东部荒漠土壤进行采样、化验分析和发射率光谱测量、处理,分析土壤热红外发射率特征,建立多种荒漠土壤全磷含量热红外发射率估算模型。结果表明:在土壤全磷含量高于0.200 g ?kg~(-1)的条件下,在8.00~13mum波长范围内,热红外发射率随全磷含量的增加而增加,9.00~9.60 mum波段范围内土壤热红外发射率对全磷含量最敏感;多元逐步回归建立的估算模型的估算效果差,不能用于荒漠土壤全磷含量热红外发射率的估算,经过偏最小二乘回归建立的估算模型效果优于多元逐步回归建立的模型;偏最小二乘回归建立的连续去除一阶导数模型最优,校正和验证的R~2分别达到了0. 97和0.82,校正和验证的RMSE仅有0.010 6和0.015 7,RPD为2.62,模型能够极好的对土壤全磷含量进行估算。该研究的成果为荒漠土壤全磷含量定量遥感估算提供有效支撑,通过有效监测荒漠土壤全磷含量的时空动态变化,为区域生态环境的修复提供依据。
英文摘要	Soil phosphorus provides nutrient elements for plants, is one of important parameters for evaluating soil quality. The traditional method for soil total phosphorus content (STPC) measurement is not effective and time-consuming. However, remote sensing (RS) enables us to determine STPC in a fast and efficient way. Studies on the estimation of STPC in near-infrared spectroscopy have been developed by scholars, but model accuracy is still poor due to the low absorption coefficient and unclear absorption peak of soil phosphorus in near-infrared. In order to solve the deficiency which thermal-infrared emissivity estimate desert soil total phosphorus content, and could improve precision of estimation deserts soil total phosphorus. In this paper, characteristics of soil thermal-infrared emissivity are analyzed on the basis of laboratory processing and spectral measurement of deserts soil samples from the eastern Junggar Basin. Furthermore, thermal-infrared emissivity based RS models for STPC estimation are established and accuracy assessed. Results show that: when STPC is higher than 0.200 g ? kg-1, the thermal-infrared emissivity increases with the increase of STPC on the wavelength between 8. 00 mum and 13 mum, and the emissivity is more sensitive to STPC on the wavelength between 9. 00 and 9. 6 mum; the estimate mode based on multiple stepwise regression was could not to estimate deserts soil total phosphorus content from thermal-infrared emissivity because the estimation effects of them were poor. The estimation accuracy of model based on partial least squares regression is higher than the model based on multiple stepwise regression. However, the accuracy of second-order differential estimation model based on partial least square regression is higher than based on multiple stepwise regression; The first differential of continuous remove estimation model based on partial least squares regression is the best model with R~2 of correction and verification are up to 0. 97 and 0. 82 respectively, and RMSE of correction and verification are only 0. 010 6 and 0. 015 7 respectively, RPD is 2. 62. Research results provide optimized models for remotely sensed analysis on deserts soil total phosphorus content and could realize timeliness and effective monitoring on the space-time dynamic of deserts soil total phosphorus content for future regional ecological restoration.
中文关键词	荒漠土壤 ; 全磷含量 ; 热红外发射率 ; 估算模型
英文关键词	Deserts soil Total phosphorus content Thermal-infrared emissivity Estimation model
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:5349097
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/2XILL650/232858
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	侯艳军,塔西甫拉提·特依拜,张飞,等. 荒漠土壤全磷含量热红外发射率光谱估算研究[J]. 新疆大学,2015,35(2):350-354.
APA	侯艳军,塔西甫拉提·特依拜,张飞,买买提·沙吾提,&依力亚斯江·努尔麦麦提.(2015).荒漠土壤全磷含量热红外发射率光谱估算研究.光谱学与光谱分析,35(2),350-354.
MLA	侯艳军,et al."荒漠土壤全磷含量热红外发射率光谱估算研究".光谱学与光谱分析 35.2(2015):350-354.