title: [Bare Soil Moisture Inversion Model Based on Visible-Shortwave Infrared Reflectance].
abstract: Soil is the loose solum of land surface that can support plants. It consists of minerals, organics, atmosphere, moisture, microbes, et al. Among its complex compositions, soil moisture varies greatly. Therefore, the fast and accurate inversion of soil moisture by using remote sensing is very crucial. In order to reduce the influence of soil type on the retrieval of soil moisture, this paper proposed a normalized spectral slope and absorption index named NSSAI to estimate soil moisture. The modeling of the new index contains several key steps: Firstly, soil samples with different moisture level were artificially prepared, and soil reflectance spectra was consequently measured using spectroradiometer produced by ASD Company. Secondly, the moisture absorption spectral feature located at shortwave wavelengths and the spectral slope of visible wavelengths were calculated after analyzing the regular spectral feature change patterns of different soil at different moisture conditions. Then advantages of the two features at reducing soil types' effects was synthesized to build the NSSAI. Thirdly, a linear relationship between NSSAI and soil moisture was established. The result showed that NSSAI worked better (correlation coefficient is 0.93) than most of other traditional methods in soil moisture extraction. It can weaken the influences caused by soil types at different moisture levels and improve the bare soil moisture inversion accuracy.
authors.forename: Xiao-po
authors.initials: XP
authors.lastname: Zheng
authors.forename: Yue-jun
authors.initials: YJ
authors.lastname: Sun
authors.forename: Qi-ming
authors.initials: QM
authors.lastname: Qin
authors.forename: Hua-zhong
authors.initials: HZ
authors.lastname: Ren
authors.forename: Zhong-ling
authors.initials: ZL
authors.lastname: Gao
authors.forename: Ling
authors.initials: L
authors.lastname: Wu
authors.forename: Qing-ye
authors.initials: QY
authors.lastname: Meng
authors.forename: Jin-liang
authors.initials: JL
authors.lastname: Wang
authors.forename: Jian-hua
authors.initials: JH
authors.lastname: Wang