| Inversion of soil moisture content in the oasis of arid areas using hyperspectral and electromagnetic induction instruments |
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| DOI：10.7606/j.issn.1000-7601.2018.03.38 |
| Key Words: soil moisture content hyperspectral electromagnetic induction instrument estimation model oases of arid area |
| Author Name | Affiliation | | NING Juan | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | DING Jian-li | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | YANG Ai-xia | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | SU Wen | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | LI Huan | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | CAO Lei | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | MIAO Chen | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China | | Dilixiati·Aimurela | College of Resources and Environment Sciences, Xinjiang University,Urumqi, Xinjiang 830046,China
Key Laboratory of Oasis Ecosystem of Education Ministry ,Xinjiang University,Urumqi, Xinjiang 830046,China |
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| Abstract: |
| In order to realize rapid and accurate monitoring soil moisture content in the oasis arid areas, 84 soil samples from top soil (0~10cm) were collected from Weigan-Kuche oasis. Based on sensitive feature spectrum parameters selected by the spectral correlation with soil moisture content that measured by visible-near-infrared (VNIR) spectroscopy. The interpretation data by using the electromagnetic conduction (EM38) replaced the soil moisture content and the spectral reflectance of hyper spectral bands fit by simulation Landsat8 satellite remote sensing spectral reflectance as soil spectral reflectance. Models were established and the soil moisture content in the oasis arid areas of Weigan and Kuqa Rivers was estimated by using partial least squares (PLSR) analysis. The results showed following. (1) Soil apparent conductivity of EM38 level pattern had high correlation with soil moisture content and ECH could be used as a surrogate for moisture content. (2) The optimal estimation model was variety of spectral characteristic index. The determination coefficient R2 in dry and wet seasons were greater than 0.7, the root mean square error (RMSE) was less than 0.5% and RPD was greater than 2,this model can be used as effective method to estimate soil water moisture of oasis in arid areas. (3) The correlation with soil moisture content of remote sensing inversion and laboratory measured was high, their determination coefficients R2 were greater than 0.6, the root mean square error (RMSE) was less than 0.6%. It would be a precise and efficient method to monitor the soil moisture content in the oasis arid areas by combining with electromagnetic induction technology and hyperspectral. |
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