Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1155/2022/1116781 |
Correlation between Vegetation Coverage and Thickness of Chestnut Soil Layer in Typical Grassland Based on Multisource Satellite Remote Sensing | |
Kesi, Tang; Tuya, Wulan; Zifeng, Wu; Dash, Doljin; Bat-Erdene, Tsedev | |
通讯作者 | Tuya, W |
来源期刊 | MOBILE INFORMATION SYSTEMS
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ISSN | 1574-017X |
EISSN | 1875-905X |
出版年 | 2022 |
卷号 | 2022 |
英文摘要 | In order to study the correlation between the vegetation coverage of typical grassland and the thickness of chestnut calcium soil layer, three typical geomorphic types of Wuzhumuqin typical grassland in Inner Mongolia were selected as experimental plots. It uses 3S technology and the methods of landscape ecology and geostatistics to test the image data and field quadrat in the past three years. It closely combines vegetation ecology with soil environment, the relationship between soil characteristics and vegetation landscape, and makes a correlation analysis on the synergistic evolution of chestnut soil thickness. The relationship between chestnut soil thickness, soil water content, and vegetation coverage under three different geomorphic conditions was obtained. Based on the quantitative analysis of the temporal and spatial differences between the vegetation coverage of typical grassland and the thickness of chestnut soil, the spatial distribution patterns of different soil types are revealed. Based on Landsat 8 TM image data, this paper makes statistics of vegetation index (NDVI) at three test sites. The spatial overlap method and the actual observation data are abandoned for spatial interpolation, and the similarity conclusion is obtained. The study shows that among the three sample plots in 2021, except for the original wavy high flat sample plot whose natural environment has been greatly damaged, the correlation coefficient between chestnut calcium soil layer thickness and vegetation coverage in the other two sample plots is also significant in the significance of 0.01 or 0.05 (two-sided test). It shows that there is a very significant positive correlation between the thickness of chestnut calcium soil layer and the thickness of chestnut calcium soil layer. The purpose of this paper is to use hyperspectral images to classify different kinds of plants, so as to realize the monitoring of chestnut soil. It will provide rapid and dynamic technical support for desertification control in the future. |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000838028800001 |
WOS关键词 | COEVOLUTION |
WOS类目 | Computer Science, Information Systems ; Telecommunications |
WOS研究方向 | Computer Science ; Telecommunications |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/393810 |
推荐引用方式 GB/T 7714 | Kesi, Tang,Tuya, Wulan,Zifeng, Wu,et al. Correlation between Vegetation Coverage and Thickness of Chestnut Soil Layer in Typical Grassland Based on Multisource Satellite Remote Sensing[J],2022,2022. |
APA | Kesi, Tang,Tuya, Wulan,Zifeng, Wu,Dash, Doljin,&Bat-Erdene, Tsedev.(2022).Correlation between Vegetation Coverage and Thickness of Chestnut Soil Layer in Typical Grassland Based on Multisource Satellite Remote Sensing.MOBILE INFORMATION SYSTEMS,2022. |
MLA | Kesi, Tang,et al."Correlation between Vegetation Coverage and Thickness of Chestnut Soil Layer in Typical Grassland Based on Multisource Satellite Remote Sensing".MOBILE INFORMATION SYSTEMS 2022(2022). |
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