李硕 Shuo Li

副教授 · 硕士研究生导师

华中师范大学 · 城市与环境科学学院

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李硕的照片

副教授，硕士研究生导师，第三次全国土壤普查剖面土壤调查与采样技术领队，湖北省第三次土壤普查省级技术专家。擅长土壤近地遥感、数据挖掘及数字土壤制图。获华中农业大学学士、硕士和博士学位，浙江大学博士后。获中国博士后科学基金会“博士后国际交流计划派出项目”赴澳大利亚CSIRO土水所进行合作研究。主持国家自然科学基金青年科学基金、中国博士后基金面上项目、第三次全国土壤普查项目等。在《Environmental Science & Technology》、《Soil & Tillage Research》、《Geoderma》、《Ecological Indicators》等期刊发表论文40余篇，已授权国家发明专利 1 项。现主要从事土壤遥感与信息技术应用研究。

研究方向 Research interests

发表论文 Publications

* 通讯作者；姓名加粗为本人。

  1. Li M., Viscarra Rossel R., Shi Z., Fang L., Hu B., Chen S., Li S.* Global patterns and future dynamics of belowground net primary productivity. Ecological Indicators, 2026, 19, 115436.
  2. Li S., Zhou Y., Mouazen A., Chen S., Viscarra Rossel R., Biswas A., Ji W., Shi Z., Wang S.* Integrating soil spectral libraries with laboratory hyperspectral imaging for profile organic carbon prediction in paddy soils. Soil & Tillage Research, 2026, 258, 107028.
  3. Zhou Y., Biswas A., Hong Y., Chen S., Hu B., Shi Z., Guo Y., Li S.* Enhancing soil profile analysis with soil spectral libraries and laboratory hyperspectral imaging. Geoderma, 2024, 450, 117036.
  4. Li S., Viscarra Rossel R.*, Webster R. The cost‐effectiveness of reflectance spectroscopy for estimating soil organic carbon. European Journal of Soil Science, 2022, 73, e13202.
  5. Li S., Shi Z.*, Chen S., Ji W., Zhou L., Yu W., Webster R. In situ measurements of organic carbon in soil profiles using vis-NIR spectroscopy on the Qinghai–Tibet Plateau. Environmental Science & Technology, 2015, 49, 4980–4987.
其他论文（40 篇）
  1. Shuai Q., Jin D., Arrouays D., Chen Z., Dai L., Du Y., Hong Y., Hu B., Huang Y., Ji W., Li S., Liang Z., Ma Y., Richer-de-Forges A., Schillaci C., Shi Z., Su Y., Teng H., Wang N., Wang X., Wang Y., Wang Z., Wang Z., Xu D., Xue J., Ye S., Zhang X., Zhou Y., Zhu P., Chen S.* GSOCS-LULCC: A Global dataset of Soil Organic Carbon Stock dynamics following Land Use and Land Cover Change. Scientific Data, 2026, 13(1), 1220.
  2. Li S., Shen X., Shen X.*, Cheng J., Xu D., Makar R., Guo Y., Hu B., Chen S., Hong Y., Peng J., Shi Z. Improving the accuracy of soil classification by using vis–NIR, MIR, and their spectra fusion. Remote Sensing, 2025, 17, 1524.
  3. Yang P., Wang Y., Hu B., Li S., Chen S., Luo D., Peng J.* Predicting soil organic carbon content using simulated insitu spectra and moisture correction algorithms in southern Xinjiang, China. Geoderma Regional, 2024, 37, e00783.
  4. Hong Y., Sanderman J., Hengl T., Chen S., Wang N., Xue J., Zhuo Z., Peng J., Li S., Chen Y., Liu Y., Mouazen A., Shi Z.* Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation. Catena, 2024, 235, 107628.
  5. Makar R*, Li S., Shahin S. Evaluating the Climate Change Trends and Spatiotemporal Variations of Evapotranspiration: A Case Study in El-Beheira Governorate, Egypt. Asian Research Journal of Agriculture, 2024, 17(2), 76–88.
  6. Shen J., Chen S., Hong Y., Li S.* Novel local calibration optimization from soil mid-infrared spectral library. Journal of Infrared and Millimeter Waves, 2023, 42(6), 815–823.
  7. Yang M., Chen S.*, Xu D., Hong Y., Li S., Peng J., Ji W., Guo X., Zhao X., Shi Z. Strategies for predicting soil organic matter in the field using the Chinese Vis–NIR soil spectral library. Geoderma, 2023, 433, 116461.
  8. Zhou Y., Chen S.*, Hu B., Ji W., Li S., Hong Y., Xu H., Wang N., Xue J., Zhang X., Xiao Y., Shi Z. Global soil salinity prediction by open soil vis–NIR spectral library. Remote Sensing, 2022, 14, 5627.
  9. Peng J., Li S.*, Makar R., Li H., Feng C., Luo D., Shen J., Wang Y., Jiang Q., Fang L. Proximal soil sensing of low salinity in Southern Xinjiang, China. Remote Sensing, 2022, 14, 4448.
  10. Hu B., Xie M., Li H.*, Zhao W., Hu J., Jiang Y., Ji W., Li S., Hong Y., Yang M., Optiz T., Shi Z. Stoichiometry of soil carbon, nitrogen, and phosphorus in farmland soils in southern China: Spatial pattern and related dominates. Catena, 2022, 217, 106468.
  11. Li S.*, Shen J., Bishop T., Viscarra Rossel R. Assessment of the effect of soil sample preparation, water content and excitation time on proximal X-ray fluorescence sensing. Sensors, 2022, 22, 4572.
  12. Viscarra Rossel R.A.*, Yang Y., Bissett A., Behrens T., Dixon K., Nevil P., Li S. Environmental controls of soil fungal abundance and diversity in Australia's diverse ecosystems. Soil Biology and Biochemistry, 2022, 170, 108694.
  13. Peng Q., Chen S., Zhou M., Li S.* Developing of local model from soil spectral library with spectral dissimilarity. Spectroscopy and Spectral Analysis, 2022, 42, 1614–1619.
  14. Chen S., Xu H., Xu D., Ji W., Li S., Yang M., Hu B., Zhou Y., Wang N., Arrouays D., Shi Z.* Evaluating validation strategies on the performance of soil property prediction from regional to continental spectral data. Geoderma, 2021, 400, 115159.
  15. Li S., Li C., Chen S., Xu D., Shi Z.* Removing the effects of water from visible–near infrared spectra in soil profiles for the estimation of organic carbon. Spectroscopy and Spectral Analysis, 2021, 41, 1234–1239.
  16. Wang H.*, Zhong H., Lu J., Yan Q., Li S., Zhou Y. Understanding the river-lake relationship after the operation of TGR based on SWAT model. Journal of Coastal Research, 2020, 104, 593–600.
  17. Chen S., Xu D., Li S., Ji W., Yang M., Zhou Y., Hu B., Xu H., Shi Z.* Monitoring soil organic carbon in alpine soils using in situ vis‐NIR spectroscopy and a multilayer perceptron. Land Degradation & Development, 2020, 31(8), 1026–1038.
  18. Hu B., Zhou Y., Jiang Y., Ji W., Fu Z., Shao S., Li S., Huang M., Zhou L., Shi Z.* Spatio-temporal variation and source changes of potentially toxic elements in soil on a typical plain of the Yangtze River Delta, China (2002-2012). Journal of Environmental Management, 2020, 271, 110943.
  19. Yang Y., Viscarra Rossel R.*, Li S., Bissett A., Lee J., Shi Z., Behrens T., Court L. Soil bacterial abundance and diversity better explained and predicted with spectro-transfer functions. Soil Biology and Biochemistry, 2019, 129, 29–38.
  20. Xu D., Chen S., Viscarra Rossel R., Biswas A., Li S., Zhou Y., Shi Z*. X-ray fluorescence and visible near infrared sensor fusion for predicting soil chromium content. Geoderma, 2019, 352, 61–69.
  21. Chen S., Li S., Ma W., Xu D., Shi Z.*, Zhang G. Rapid determination of soil classes in soil profiles using vis–NIR spectroscopy and Multiple Objectives Mixed Support Vector Classification. European Journal of Soil Science, 2019, 70, 42–53.
  22. Xu D., Zhao R., Li S., Chen S., Jiang Q., Zhou L.*, Shi Z. Multi-sensor fusion for the determination of several soil properties in the Yangtze River Delta, China. European Journal of Soil Science, 2019, 70, 162–173.
  23. Liu Y., Shi Z., Zhang G., Chen Y.*, Li S., Hong Y., Shi T., Wang J., Liu Y. Application of spectrally derived soil type as ancillary data to improve the estimation of soil organic carbon by using the Chinese soil vis-NIR spectral library. Remote Sensing, 2018, 10, 1747.
  24. Ji W., Li S., Chen S., Shi Z.*, Viscarra Rossel, R., Mouazen, A. Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions. Soil & Tillage Research, 2016, 155, 492–500.
  25. Peng J., Ji W., Ma Z., Li S., Chen S., Zhou L.*, Shi Z. Predicting total dissolved salts and soluble ion concentrations in agricultural soils using portable visible near-infrared and mid-infrared spectrometers. Biosystems Engineering, 2016, 152, 94–103.
  26. Li S., Ji W., Chen S., Peng J., Zhou Y., Shi Z.* Potential of VIS-NIR-SWIR spectroscopy from the Chinese soil spectral library for assessment of nitrogen fertilization rates in the paddy-rice region, China. Remote Sensing, 2015, 7, 7029–7043.
  27. Ji W., Shi Z.*, Huang J., Li S. In situ measurement of some soil properties in paddy soil using visible and near-infrared spectroscopy. PLoS ONE, 2014, 9, e105708.
  28. 李萌晗, 于雷, 胡碧峰, 周明华, 李硕*. 库布齐沙漠沙丘由新月过渡抛物线的风控过程. 沙漠与绿洲气象, 2026, 20, 8–17.
  29. 张锡喆, 周银, 王玲, 龚杰, 蒋磊, 滕洪芬, 胡琼, 李硕*. 气候情景模拟下江汉平原土壤有机碳百年尺度预测. 中国农业资源与区划, 2025 (网络首发), https://link.cnki.net/urlid/11.3513.S.20250805.1523.002 [文献链接]
  30. 于雷, 周雪妍, 易军, 刘目兴, 梁嘉怡, 李硕*. 数字土壤制图技术：从传统到智能化的演进. 华中师范大学学报(自然科学版), 2025, 59, 509–519.
  31. 李硕, 王雅晋, 覃卫林, 莫晓明, 胡碧峰, 郭燕*. 基于近地传感光谱协同的土壤重金属含量空间分布预测方法. 农业机械学报, 2025, 56, 451–457.
  32. 沈佳丽, 陈颂超, 胡碧峰, 李硕*. 基于机器学习的江汉平原土壤有机碳预测及制图. 农业资源与环境学报, 2023, 40, 644–650.
  33. 王聪, 王莹, 陈云坪, 胡琼, 吴飞, 曹隽隽, 李硕*. 2000–2020年湖北省耕地利用集约化和规模化耦合协调特征. 农业工程学报, 2023, 39, 219–226.
  34. 孟鑫鑫, 于雷, 周勇, 李硕*. 基于可见近红外和中红外近地面光谱数据融合的土壤有机碳含量反演. 土壤通报, 2022, 53, 301–307.
  35. 李硕, 汪善勤*, 史舟. 基于成像光谱技术预测氮素在土壤剖面中的垂直分布. 土壤学报, 2015, 52, 1014–1023.
  36. 陈颂超, 冯来磊, 李硕, 纪文君, 史舟*. 基于局部加权回归的土壤全氮含量可见-近红外光谱反演. 土壤学报, 2015, 52, 312–320.
  37. 王乾龙, 李硕, 卢艳丽, 彭杰, 史舟, 周炼清*. 基于大样本土壤光谱数据库的氮含量反演. 光学学报, 2014, 34, 308–314.
  38. 李硕, 汪善勤*, 张美琴. 基于可见-近红外光谱比较主成分回归、偏最小二乘回归和反向传播神经网络对土壤氮的预测研究. 光学学报, 2012, 32, 289–293.
  39. 张冬强, 唐子立, 杨勇, 李硕, 胡春根*. 用于监测柑橘叶片冻害的叶绿素含量光谱反射模型研究. 农业环境科学学报, 2012, 31, 1891–1896.
  40. 杨勇, 张冬强, 李硕, 胡春根*. 基于光谱反射特征的柑橘叶片含水率模型. 中国农学通报, 2011, 27, 180–184.

科研项目 Research projects

其他项目（12 项）
  • 钟祥市第三次⼟壤普查成果编制与汇总项⽬. 钟祥市农业农村局委托项目, 2024–2026. (参与)
  • 浙江大学委托项目, 2023–2024.（主持）
  • 农业农村部黄淮海智慧农业技术重点实验室开放基金, 202305, 2023–2024.（主持）
  • 中国农业科学院委托项目, 2022–2024.（主持）
  • 农业农村部光谱检测重点实验室开放基金, 2022ZJUGP003, 2022–2023.（主持）
  • 中央高校基本科研业务费专项资金项目, CCNU22JC022, 2022–2024.（参与）
  • 国家自然科学基金面上项目, 42171061, 2022–2025.（参与）
  • 科技基础资源调查专项, 2021FY100505, 2021–2025.（参与）
  • 中央高校基本科研业务费专项资金项目, CCNU19TD002, 2019–2021.（参与）
  • 国家自然科学基金面上项目, 41571339, 2016–2019.（参与）
  • 国家自然科学基金面上项目, 40971269, 2010–2012.（参与）
  • 国家自然科学基金青年科学基金项目, 40801082, 2009–2011.（参与）

教育与研究经历 Education & experience

社会兼职 Professional service

专利 Patents