王昌昆,男,博士,副研究员,硕士生导师。2008年毕业于山东农业大学,获地图学与地理信息系统学位;2013年毕业于中国科学院南京土壤研究所,获农学博士学位。2013年7月进入中国科学院南京土壤研究所工作。
主要从事土壤近地传感、土壤遥感反演与制图相关研究,重点关注土壤遥感光谱机理、土壤高光谱反演、天空地一体化土壤遥感监测、土壤遥感大数据分析与制图。主持国家重点研发计划子课题、课题,国家自然科学基金,中科院战略先导科技专项子课题,自然资源卫星遥感技术体系建设与应用示范委托课题等科研项目;发表Geoderma等SCI论文20余篇,获得国家发明专利2项。
招生专业与方向:资源环境与遥感信息/地图学与地理信息系统/土壤学;
联系方式:Tel:025-86881306;E-mail:ckwang@issas.ac.cn。
代表论著:
[1]Zhang F.F, Wang C.K., Pan K., Guo Z.Y., Liu J., Xu A.A., Ma H.Y., Pan X.Z. The simultaneous prediction of soil properties and vegetation coverage from Vis-NIR hyperspectral data with a one-dimensional convolutional neural network: a laboratory simulation study. Remote Sensing, 2022, 14 (2): 397.
[2]Liu Y., Wang C.K., Xiao C.C, Shang K., Zhang Y., Pan X.Z. Prediction of multiple soil fertility parameters using VisNIR spectroscopy and PXRF spectrometry. Soil Science Society of America Journal, 2021.
[3]Wu S.W., Wang C.K., Liu Y., Li Y.L., Liu J., Xu A.A., Pan K, Li Y.C., Pan X.Z. Mapping the salt content in soil profiles using Vis-NIR hyperspectral imaging. Soil Science Society of America Journal, 2018, 82(5): 1259-1269.
[4]Li Y.L., Liu Y., Wu S.W., Wang C.K., Xu A.A., Pan X.Z. Hyper-spectral estimation of wheat biomass after alleviating of soil effects on spectra by non-negative matrix factorization. European Journal of Agronomy, 2017, 84: 58-66.
[5]Wang C.K., Zhang T.L, Pan X.Z. Potential of visible and near-infrared reflectance spectroscopy for the determination of rare earth elements in soil. Geoderma, 2017, 306: 120-126.
[6]Wang C.K., Li Z.T., Pan X.Z. Estimating crop residue cover using SPOT 5 data. Journal of Soil and Water Conservation, 2017, 72 (4): 343–350.
[7]Wang C.K., Pan X.Z. Estimation of clay and soil organic carbon using visible and near-infrared spectroscopy and unground samples. Soil Science Society of America Journal, 2016, 80 (5): 1393–1402.
[8]Wang C.K., Pan X.Z. Improving the prediction of soil organic matter using visible and near infrared spectroscopy on moist samples. Journal of Near Infrared Spectroscopy, 2016, 24 (3): 231-241.