| Cite this article: | 赵泽艺,高阳,李朝阳,等.南疆盐碱土水氮盐光谱特征及其反演模型[J].灌溉排水学报,2023,():-. |
| Zhao Zeyi,Gao Yang,Li Zhaoyang,et al.南疆盐碱土水氮盐光谱特征及其反演模型[J].灌溉排水学报,2023,():-. |
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| Spectral Characteristics of Water Nitrogen and Salt in Saline Soils of South Xinjiang and its Inversion Model |
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Zhao Zeyi1, Gao Yang2, Li Zhaoyang3, Wang Hongbo3, Zhang Nan3, Li Guohui3, Tang Maosong3, Wang Xingpeng3
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1.College of water Resource and Architecture Engineering,Tarim University;2.Farmland lrrigation Research lnstitute,Chinese Academy of Agricultural Sciences;3.Traim University
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| Abstract: |
| 【Objective】 The main discussion is the spectral characteristics of saline soils in South Xinjiang under different water, nitrogen and salt contents, and the construction of a water, nitrogen and salt content inversion model suitable for South Xinjiang sandy soils, which provides a scientific basis for rapid detection of water, nitrogen and salt contents in its soils. 【Method】 Selecting saline sandy soil in South Xinjiang as the research object, and setting up different soil moisture, salt and nitrogen contents in order to obtain and analyze the soil spectral characteristics of different treatments. Meanwhile, soil water, nitrogen and salt inversion models were established by using partial least squares regression (PLSR), support vector regression (SVR) and BP neural network (BPNN) 【Results】 The characteristic bands of soil water are around 1400 and 1900 nm, the characteristic bands of soil nitrogen are between 1448-1515 and 1841-2500 nm, and the characteristic bands of soil salts are between 1878-1881 and 1908-1940 nm. The PLSR model has the best inversion for water, nitrogen and salt, BPNN the second and SVR the worst. 【Conclusion】 The characteristic band common to water, nitrogen and salt is around 1900 nm. The optimal inversion method for water, nitrogen, and salt of saline soils in South Xinjiang was smoothed by Savitzky-Golay method, using principal component analysis for dimensionality reduction and partial least squares regression to develop the inverse model. |
| Key words: soil spectral characteristics; saline soils; inversion model; soil salinity; soil nitrogen content; soil moisture |
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