Soil Texture and Its Relationship with Environmental Factors on the Qinghai-Tibet Plateau | |
Liu, Yadong1,2; Wu, Xiaodong1,2; Wu, Tonghua1,3; Zhao, Lin1,4; Li, Ren1,2; Li, Wangping5; Hu, Guojie1; Zou, Defu1; Ni, Jie6; Du, Yizhen6 | |
2022-08 | |
发表期刊 | REMOTE SENSING |
卷号 | 14期号:15 |
摘要 | Soil texture data are the basic input parameters for many Earth System Models. As the largest middle-low altitude permafrost regions on the planet, the land surface processes on the Qinghai-Tibet Plateau can affect regional and even global water and energy cycles. However, the spatial distribution of soil texture data on the plateau is largely unavailable due to the difficulty of obtaining field data. Based on collection data from field surveys and environmental factors, we predicted the spatial distribution of clay, silt, and sand contents at a 1 km resolution, from 0-5, 5-15, 15-30, 30-60, 60-100, and 100-200 cm soil depth layers. The random forest models were constructed to predict the soil texture according to the relationships between environmental factors and soil texture data. The results showed that the soil particles of the QTP are dominated by sand, which accounts for more than 70% of the total particles. As for the spatial distribution, silt and clay contents are high in the southeast plateau, and low values of silt and clay mainly appeared in the northwest plateau. Climate and NDVI values are the most important factors that affect the spatial distribution of soil texture on the QTP. The results of this study provide the soil texture data at different depths for the whole plateau at a spatial resolution of 1 km, and the dataset can be used as an input parameter for many Earth System Models. |
关键词 | digital soil mapping machine learning soil particle size random forest soil pits |
DOI | 10.3390/rs14153797 |
收录类别 | SCIE ; EI |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS记录号 | WOS:000839693200001 |
出版者 | MDPI |
EI入藏号 | 20223612686819 |
EI主题词 | Machine learning |
EI分类号 | 405.3 Surveying ; 723.4 Artificial Intelligence ; 723.4.2 Machine Learning ; 902.1 Engineering Graphics ; 913.5 Maintenance ; 921 Mathematics ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory ; 961 Systems Science |
来源库 | WOS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/159861 |
专题 | 土木工程学院 |
通讯作者 | Wu, Xiaodong |
作者单位 | 1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resource, State Key Lab Cryospher Sci, Cryosphere Res Stn Qinghai Tibet Plateau, Lanzhou 730000, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 3.Southern Marine Sci & Engn Guangdong Lab, Guangzhou 511458, Peoples R China; 4.Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210000, Peoples R China; 5.Lanzhou Univ Technol, Sch Civil Engn, Lanzhou 730050, Peoples R China; 6.Zaozhuang Univ, Coll Tourism Resources & Environm, Zaozhuang 277160, Peoples R China; 7.Jiangxi Univ Engn, Sch Civil Engn, Xinyu 338000, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Yadong,Wu, Xiaodong,Wu, Tonghua,et al. Soil Texture and Its Relationship with Environmental Factors on the Qinghai-Tibet Plateau[J]. REMOTE SENSING,2022,14(15). |
APA | Liu, Yadong.,Wu, Xiaodong.,Wu, Tonghua.,Zhao, Lin.,Li, Ren.,...&Yan, Xuchun.(2022).Soil Texture and Its Relationship with Environmental Factors on the Qinghai-Tibet Plateau.REMOTE SENSING,14(15). |
MLA | Liu, Yadong,et al."Soil Texture and Its Relationship with Environmental Factors on the Qinghai-Tibet Plateau".REMOTE SENSING 14.15(2022). |
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