Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.2063700 |
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 |
ISSN | 0277-786X |
出版年 | 2014 |
卷号 | 9158 |
EISBN | 978-1-62841-176-8 |
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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