获奖项目： 数字生态种养关键技术与应用，江苏省农学会科技奖一等奖，排名14 主要论文 [1] Liu Ya, et al. Prediction of multiple soil fertility parameters using VisNIR spectroscopy and PXRF spectrometry. Soil Science Society of America Journal, 2021, doi.org/10.1002/saj2.20223. [2] Liu Ya, et al. Evaluating the characteristics of soil vis-NIR spectra after the removal of moisture effect using external parameter orthogonalization. Geoderma, 2020, 376:114568. [3] Liu Ya, et al. Estimating the soil salinity over partially vegetated surfaces from multispectral remote sensing image using non-negative matrix factorization. Geoderma, 2019, 354: 113887. [4] Liu Ya, et al. Removing the effects of iron oxides from vis-NIR spectra for the prediction of soil organic matter. Soil Science Society of America Journal, 2018,82 (1):87. [5] Liu Ya, et al. Can subsurface soil salinity be predicted from surface spectral information? – From the perspective of structural equation modelling. Biosystems Engineering, 2016, 152, 138-147. [6] Liu Ya, et al. Predicting soil salt content over partially vegetated surfaces using non-negative matrix factorization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8, 5305-5316. [7] Liu Ya, et al. Predicting soil salinity with vis-NIR spectra after removing the effects of soil moisture using external parameter orthogonalization. PLoS One, 2015, 10, e0140688. [8] Liu Ya, et al. Predicting soil salinity based on spectral symmetry under wet soil condition. Spectroscopy and Spectral Analysis, 2013, 33(10): 2771-2776. [9] 刘娅, 等. 基于盲源分离的稀疏植被区土壤含盐量反演.土壤学报, 2016, 322-331. [10] 刘娅, 等. 基于差异化光谱指数的盐渍土水分含量预测——以滨海盐土为例. 土壤, 2016, 381-388. [11] 刘娅, 等. 基于可见-近红外光谱的滨海盐土土壤盐分预测方法. 土壤学报, 2012, 824-829. 已授权的发明专利 [1] 刘娅，潘贤章，王昌昆。一种基于局域相近像元的混合像元分解方法，2020年12月18日，中国，ZL201910058470.6. [2] 刘娅。一种基于光谱角的土壤含水量预测方法，2020年12月29日，中国，ZL202010338245.0. |
