Arid
DOI10.1117/12.2063700
Quantitative Retrieval for Soil Organic Matter in Sandy Land Based on BJ-1 Multispectral Image
Wu Junjun; Gao Zhihai; Li Zengyuan; Wang Bengyu; Bai Lina; Wang Hongyan; Sun Bin; Li Changlong
通讯作者Wu Junjun
会议名称18th China National Symposium on Remote Sensing - Remote Sensing of the Environment
会议日期OCT 20-23, 2012
会议地点Wuhan, PEOPLES R CHINA
英文摘要

In order to research the indicator for sandy information, this paper conducts a study on soil organic matter (SOM) in sandy land. Taking the Otindag Sandy Land and its surrounding area as a test site, in Xilingol League, Inner Mongolia, the BJ-1 multispectral image as main data, the soil information parameters were analyzed firstly, and their difference between the sandy land and other land was distinguished. Secondly, the correlation between SOM and each band of multispectral image was analyzed, and the best inversion band was determined. Meanwhile, the quantitative retrieval model for SOM was established and validated. Finally, the soil organic matter was inversed quantitatively, and the whole distribution of SOM was obtained in Otindag Sandy Land. As the results showed that, with the development of land desertification, the content of soil organic matter declined obviously. The correlation between three bands of BJ-1 image and SOM was relatively good, correlation coefficient (r) was as high as 0.7. But the predicted accuracy of multiple regression retrieval model for SOM was higher, and it was more stable than the single band linear regression model. The reason is that three bands contain more effective information than a single band, it can reflected the difference of divergent soil types. The model was validated using independent samples, the standard error RMSE was 0.6445 and model accuracy was 62.65%.


英文关键词Desertification Soil organic matter Quantitative retrieval Model evaluation
来源出版物REMOTE SENSING OF THE ENVIRONMENT: 18TH NATIONAL SYMPOSIUM ON REMOTE SENSING OF CHINA
ISSN0277-786X
出版年2014
卷号9158
EISBN978-1-62841-176-8
出版者SPIE-INT SOC OPTICAL ENGINEERING
类型Proceedings Paper
语种英语
国家Peoples R China
收录类别CPCI-S
WOS记录号WOS:000338580600023
WOS类目Engineering, Electrical & Electronic ; Remote Sensing ; Optics
WOS研究方向Engineering ; Remote Sensing ; Optics
资源类型会议论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/302450
作者单位Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China
推荐引用方式
GB/T 7714
Wu Junjun,Gao Zhihai,Li Zengyuan,et al. Quantitative Retrieval for Soil Organic Matter in Sandy Land Based on BJ-1 Multispectral Image[C]:SPIE-INT SOC OPTICAL ENGINEERING,2014.
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