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Ding, Jianli
- Estimating Soil Salt Content in the Keriya Oasis Using Hyperspectral Slope Index
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Authors
Affiliations
1 College of Resources and Environmental Science/Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, CN
1 College of Resources and Environmental Science/Key Laboratory of Oasis Ecology of Ministry of Education, Xinjiang University, Urumqi 830046, CN
Source
Nature Environment and Pollution Technology, Vol 16, No 1 (2017), Pagination: 141-146Abstract
Hyperspectral data provide valuable information for salt content estimation. In this paper, soil samples were collected from the Keriya Oasis, Southern Xinjiang, China. Samples were bagged, brought to the laboratory, air-dried, ground, and sieved using 2 mm size sieve. Soil salt contents were measured and the reflectance spectra were collected using FieldSpec3 in laboratory condition. The continuum removal (CR) reflectance was obtained after smoothing and averaged spectral data conversion of 10 nm interval. A total of 8 spectral slopes at the wavelength between 365-375 nm, 1435-1465 nm, 1855- 1865 nm, 1915-1925 nm, 2085-2095 nm, 2295-2315 nm, 2365-2395 nm and 2465-2475 nm were calculated based on the correlation analysis between soil salt content and its spectrum. Thirty of 40 samples were used for establishing hyperspectral model for estimating soil salt content and the other 10 samples were for the model verification. The multiple linear regression (MLR) and partial least squares regression (PLSR) were used to model and estimate soil salt content. The results showed that, when soil salt content is higher than 2.10 g·kg-1, spectral slope values increase with the increase of salt content. The estimation accuracy of the model based on MLR was higher than the model based on PLSR. The R2 for calibration and validation of the optimum multiple linear regression model were up to 0.834 and 0.664, respectively, and its RMSE values of calibration and validation were 2.9707 and 3.2691, and the RPD value was 2.09, respectively. This spectral slope based model was a supplementary modelling for hyperspectral soil salinity estimation, and can be a basis for future satellite-based hyperspectral monitoring and evaluation of soil salinity.Keywords
Soil Salt Content, Spectral Slope, Hyperspectral Reflectance, Keriya Oasis.Full Text
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