| 博斯腾湖湖滨绿洲土壤表层含盐量高光谱估算模型 |
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| 引用本文： | 江远东,李新国,杨涵,赵慧.博斯腾湖湖滨绿洲土壤表层含盐量高光谱估算模型[J].中国土壤与肥料,2022(1):1-8. |
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| 作者姓名： | 江远东 李新国 杨涵 赵慧 |
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| 作者单位： | 新疆师范大学地理科学与旅游学院;新疆干旱区湖泊环境与资源实验室 |
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| 基金项目： | 国家自然科学基金(41661047,4206100);自治区研究生创新项目(XJ2021G256)。 |
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| 摘 要： | 以博斯腾湖湖滨绿洲为研究区,对土壤高光谱反射率R进行数学光谱变换,并计算其差值型、比值型、归一化型3种盐分指数,通过显著性检验优选特征波段,结合土壤表层盐分实验数据,构建基于地理加权回归模型的土壤表层盐分含量估算模型。研究结果表明:1)土壤表层盐分含量平均值为7.535 g·kg-1,其光谱变换建模选取的特征波段集中在466~482、1669~1728、1979~2371 nm,其中对数倒数的一阶微分(1/lg R)′相关性较好,相关系数绝对值为0.672;2)构建3种盐分指数优选的特征波段集中在1700~1728、1992~2014、2375~2405 nm,建立的模型决定系数均大于0.870,光谱反射率R的决定系数仅为0.621;3)差值型盐分指数优选特征波段建立的地理加权回归模型为最优模型,建模集与检验集的决定系数R2分别为0.934和0.915,RMSE分别为1.186和0.917。
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| 关 键 词： | 土壤盐分 高光谱数据 盐分指数 地理加权回归模型 湖滨绿洲 |
| 收稿时间： | 2020/8/31 0:00:00 |
Model of hyperspectral estimation of surface soil salinity in the Bosten Lake lakeside oasis in Xinjiang,China |
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| JIANG Yuan-dong,LI Xin-guo,YANG Han,ZHAO Hui.Model of hyperspectral estimation of surface soil salinity in the Bosten Lake lakeside oasis in Xinjiang,China[J].Soil and Fertilizer Sciences in China,2022(1):1-8. |
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| Authors: | JIANG Yuan-dong LI Xin-guo YANG Han ZHAO Hui |
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| Institution: | (College of Geographic Science and Tourism,Xinjiang Normal University,Urumqi Xinjiang 830054;Xinjiang Key Laboratory of Lake Environment and Resource in Arid Zone,Urumqi Xinjiang 830054) |
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| Abstract: | Talking Bosten Lake lakeside oasis in Xinjiang,China as the study area,spectral transforms and construction of differential salinity index,ratio salinity index,and normalized salinity index were performed on the hyperspectral reflectance of soil samples,and the characteristic bands were selected preferentially by significance test to construct a geographically weighted regression-based soil salinity content estimation model based on the measured surface salinity data.The results showed that:1)Soil surface salt content averaged 7.535 g·kg-1,and the feature bands selected for spectral transformation modeling were concentrated in 466~482,1669~1728 and 1979~2371 nm,where the logarithmic reciprocal first-order differential (1/lg R)′correlation was good and the absolute value of the correlation coefficient was 0.672;2)The characteristic bands for the construction of the three salt indices were concentrated in 1700~1728,1992~2014and 2375~2405 nm,and the determination coefficients of the established models were all greater than 0.870,while the determination coefficient of the spectral reflectance R was only 0.621;3)The model of the differential salt index which preferred eigenband was the best model,with the R;of 0.934 and 0.915 for the modeling set and the test set,respectively,and the RMSE of 1.186 and 0.917,respectively. |
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| Keywords: | soil salinity hyperspectral data salinity index geographically weighted regression model lakeside oasis |
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