| Inversion models of soil water content using hyperspectral measurements in fields of the arid region farmland |
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| DOI：10.7606/j.issn.1000-7601.2013.02.43 |
| Key Words: hyperspectral meadow soil water content model |
| Author Name | Affiliation | | PENG Jie | College of Plant Science, Tarim University, Alar, Xinjiang 843300, China | | XIANG Hongying | College of Plant Science, Tarim University, Alar, Xinjiang 843300, China | | WANG Jiaqiang | College of Plant Science, Tarim University, Alar, Xinjiang 843300, China | | LIU Weiyang | College of Plant Science, Tarim University, Alar, Xinjiang 843300, China | | CHI Chunming | College of Plant Science, Tarim University, Alar, Xinjiang 843300, China | | NIU Jianlong | College of Plant Science, Tarim University, Alar, Xinjiang 843300, China |
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| Abstract: |
| The quantitative relationships between soil water contents and hyperspectral reflectances in the southern Xinjiang farmland were studied based on hyperspectral measurements in fields in march of 2011. Prediction equations of soil water content were established using simple linear regression and stepwise multiple regression methods. Soil water contents were negatively related with spectral reflectances (SC) and its various transformations such as reciprocal of SC(1/SC), logSC, first order differential of SC. Correlation coefficients of prediction equations based on 50 soil samples were significant at p<0.01. An independent validation set of 37 soils showed that the stepwise multiple regression equation in which reciprocal of SC at 698nm,702nm,703nm,746nm and 747nm were defined as independent factors is the best model for fitting to the data of soil water content suggesting that the regression developed can accurately assess soil water content using hyperspectral measurements in fields. |
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