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人才团队

陈颂超博士

研究员
单位：“土壤污染控制与修复”创新工坊
电话：
职务：PI
地址：浙江大学杭州国际科创中心9160
邮箱：chensongchao@zju.edu.cn
研究方向：计量土壤学，土壤遥感与信息

个人简介 科研成果 专利成果


主要研究兴趣：



荣誉及奖励：


1. Chen, Z., Shuai, Q., Shi, Z., Arrouays, D., Richer-de-Forges, A.C., Chen, S.*, 2023. National-scale mapping of soil organic carbon stock in France: new insights and lessons learned by direct and indirect approaches. Soil & Environmental Health, 1(4), 100049. （Soil & Environmental Health 2023年度优秀论文奖）

  

  

  

2. Chen, S.*, Xue, J., Shi, Z. (2023). Spectral-guided ensemble modelling for soil spectroscopic prediction. Geoderma, 437, 116594.

3. Chen, S.*, Saby, N., Martin, M., Barthès, B., Gomez, C., Shi, Z., Arrouays, D. (2023). Integrating spectroscopically inferred soil data improves the accuracy of digital soil mapping. Geoderma, 433, 116467.

4. Yang, M., Chen, S.*, Xu, D., Hong, Y., Li, S., Peng, J., Ji, W., Guo, X., Zhao, X., Shi, Z. (2023). Strategies for predicting soil organic matter in the field using the Chinese soil spectral library. Geoderma, 433, 116467.

5.Zhang, X., Xue, J., Xiao, Y., Shi, Z., Chen, S.* (2023). Towards optimal variable selection methods for soil quality prediction using a regional soil Vis-NIR spectral library. Remote Sensing, 15(2), 465.

6. Xiao, Y., Xue, J., Zhang, X., Wang, N., Hong, Y., Jiang, Y., Zhou, Y., Teng, H., Hu. B., Lugato, E., Richer-de-Forges, A.C., Arrouays, D., Shi, Z., Chen, S.*. (2023). Improving pedotransfer functions for predicting soil mineral associated organic carbon by ensemble machine learning. Geoderma, 116208.

7. Zhou, Y., Chen, S.*, Hu, B., Ji, W., Li, S., Hong, Y., Xu, H., Wang, N., Xue, J., Zhang, X., Xiao, Y., Shi, Z. (2022). Global soil salinity prediction by open soil Vis-NIR spectral library. Remote Sensing, 14, 5627.

8. Chen, S.*, Arrouays, D., Mulder, V.L., Poggio, L., Minasny, B., Roudier, P., Libohova, Z., Lagacherie, P., Shi, Z., Hannam, J., Meersmans, J., Walter, C. (2022). Digital mapping of soil properties at a broad scale: A review. Geoderma, 409, 115567.

9. Chen, S., Xu, H., Xu, D., Ji, W., Li, S., Yang, M., Hu, B., Zhou, Y., Wang, N., Shi, Z.* (2021). Evaluating validation strategies on the performance of soil property prediction from regional to continental spectral data. Geoderma, 400, 115159.

10. Chen, S.*, Richer-de-Forges, A. C., Mulder, V.L., Martelet, G., Loiseau, T., Lehmann, S., Arrouays, D. (2021). Digital mapping of the soil thickness of loess deposits over a calcareous bedrock in central France. Catena, 198, 105062.

11. Chen, S.*, Mulder, V.L., Heuvelink, G.B.M., Poggio, L., Caubet, M., Román Dobarco, M., Walter, C., Arrouays, D. (2020) Model averaging for mapping topsoil organic carbon in France. Geoderma, 366, 114237.

12. Chen, S., Xu, D., Li, S., Ji, W., Yang, M., Zhou, Y., Hu, B., Xu, H., Shi, Z.* (2020). Monitoring soil organic carbon in alpine soils using in situ vis-NIR spectroscopy and a multilayer perceptron. Land Degradation & Development, 31, 1026–1038.

13. Chen, S.*, Mulder, V.L., Martin, M.P., Walter, C., Lacoste, M., Richer-de-Forges, A.C., Saby, N.P.A., Loiseau, T., Hu, B., & Arrouays, D. (2019). Probability mapping of soil thickness by random survival forest at a national scale. Geoderma, 344, 184-194.

14. Chen, S.*, Arrouays, D., Angers, D. A., Chenu, C., Barré, P., Martin, M. P., Saby, N.P.A., & Walter, C. (2019). National estimation of soil organic carbon storage potential for arable soils: a data-driven approach coupled with carbon-landscape zones. Science of The Total Environment, 666, 355-367. 

15. Chen, S., Liang, Z., Webster, R., Zhang, G., Zhou, Y., Teng, H., Hu, B., Arrouays, D., & Shi, Z.* (2019). A high-resolution map of soil pH in China made by hybrid modelling of sparse soil data and environmental covariates and its implications for pollution. Science of The Total Environment, 655, 273-283. 

16. Chen, S., Arrouays, D.*, Angers, D. A., Martin, M. P., & Walter, C. (2019). Soil carbon stocks under different land uses and the applicability of the soil carbon saturation concept. Soil and Tillage Research, 188, 53-58.

17. Chen, S., Li, S., Ma, W., Ji, W., Xu, D., Shi, Z.*, & Zhang, G. (2019). Rapid determination of soil classes in soil profiles using vis–NIR spectroscopy and multiple objectives mixed support vector classification. European Journal of Soil Science, 70, 42-53.

18. Chen, S.*, Martin, M. P., Saby, N. P., Walter, C., Angers, D. A., & Arrouays, D. (2018). Fine resolution map of top-and subsoil carbon sequestration potential in France. Science of the Total Environment, 630, 389-400.

19. Chen, S.*, Richer-de-Forges, A. C., Saby, N. P., Martin, M. P., Walter, C., & Arrouays, D. (2018). Building a pedotransfer function for soil bulk density on regional dataset and testing its validity over a larger area. Geoderma, 312, 52-63.

20. 陈颂超,彭杰,纪文君,周银,何积秀,史舟. 水稻土可见-近红外-中红外光谱特性与有机质预测研究. 光谱学与光谱分析，2016,36(6),1712-1716

21. 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(2),64-72. 【2019年度F5000论文】


  

发表论文(共同作者)部分

  1. Richer-de-Forges, A.*, Arrouays, D., Chen, S., Román Dobarco, M., Libohova, Z., Roudier, P., Minasny, B., Bourennane, H. (2022). Hand-feel soil texture and particle-size distribution in Central France. Relationships and implications. Catena, 213, 106155.

  2. Teng, H., Chen, S., Luo, Z., Shi, Z.*, Zhou, Y., Wan, D., Yao, H. (2022). Drivers of erosion-induced lateral soil carbon movement on the Tibetan Plateau. Catena, 211, 105970.

  3. Zhuo, Z., Chen, Q., Zhang, X., Chen, S., Gou, Y., Sun, Z., Huang, Y., Shi, Z.* (2022). Soil organic carbon storage, distribution, and influencing factors at different depths in the dryland farming regions of Northeast and North China. Catena, 210, 105934.

  4. Hong, Y., Munnaf, M.A., Guerrero, A., Chen, S., Liu, Y., Shi, Z., Mouazen, A.M.* (2022). Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon. Soil & Tillage Research, 217, 105284.

  5. Teng, H., Luo, Z., Chang, J., Shi, Z.*, Chen, S., Zhou, Y., Ciais, P., Tian, H. (2021). Climate change-induced greening on the Tibetan Plateau modulated by mountainous characteristics. Environmental Research Letters, 16, 064064.

  6. Jiang, Y., Wang, H., Lei, M., Hou, D., Chen, S., Hu, B., Huang, M., Song, W., Shi, Z.* (2021). An integrated assessment methodology for management of potentially contaminated sites based on public data. Science of the Total Environment, 783, 146913.

  7. Ma, W., Zhan, Y., Chen, S., Ren, Z., Chen, X., Qin, F., Lu, R., Lv, X., Deng, X.* (2021). Organic carbon storage potential of cropland topsoils in East China: Indispensable roles of cropping systems and soil managements. Soil & Tillage Research, 211, 105052.

  8. Zhou, Y., Chen, S., Zhu, A.*, Hu, B., Shi, Z., Li, Y. (2021). Revealing the scale- and location-specific controlling factors of soil organic carbon in Tibet. Geoderma, 382, 114713.

  9. Yang, M., Chen, S., Li, H., Shi, Z.* (2021). Effectiveness of different approaches for in situ measurements of organic carbon using VNIR in Poyang basin. Land Degradation & Development, 32, 1301-1311.

  10. Guenet, B.*, Gabrielle, B., Chenu, C., Arrouays, D., Balesdent, J., Bernoux, M., Bruni, E., Caliman, J.P., Cardinael, R., Chen, S.,Ciais, P., Desbois, D., Fouche, J., Frank, S., Henault, C., Lugato, E., Naipal, V., Nesme, T., Obersteiner, M., Pellerin, S., Powlson, D.S., Rasse, D.P., Rees, F., Soussana, J.-F., Su, Y., Tian, H.,Valin, H., Zhou, F. (2021). Can N2O emissions offset the benefits from soil organic carbon storage? Global Change Biology, 27, 237-256.

  11. Hu, B., Shao, S., Hao, N., Fu, T., Fu, Z., Hu, L., Zhou, Y., Min, X., She, S., Chen, S., Huang, M., Zhou, L., Li, Y., Shi, Z.* (2020). Current status, spatial features, health risks, and potential driving factors of soil heavy metal pollution in China at province level. Environmental Pollution, 266, 114961.

  12. Jiang, Y., Chen, S., Hu, B., Zhou, Y., Liang, Z., Jia, X., Huang, M., Wei, J., Shi, Z.* (2020). A comprehensive framework for assessing the impact of potential agricultural pollution on grain security and human health in economically developed areas. Environmental Pollution, 263, 114653.

  13. Xu, D., Chen, S., Xu, H., Wang, N., Zhou, Y., Shi, Z.* (2020). Data fusion for the measurement of soil heavy metal contents using portable spectrometers. Environmental Pollution, 263, 114649.

  14. Hu, B., Xue, J., Zhou, Y., Shao, S., Fu, Z., Li, Y., Chen, S., Qi, L., Shi, Z.* (2020). Modelling Bioaccumulation of Heavy Metals in Soil-Crop Ecosystems and Identifying its Controlling Factors using Machine Learning. Environmental Pollution, 262, 114308.

  15. Hong, Y., Shen, R., Cheng, H., Chen, S., Chen, Y.*, Guo, L., He, J., Liu, Y., Yu, L., & Liu, Y.* (2019). Cadmium concentration estimation in peri-urban agricultural soils: using reflectance spectroscopy, soil auxiliary information, or a combination of both? Geoderma, 354, 113875.

  16. Loiseau, T., Chen, S., Mulder, V.L., Román Dobarco, M., Richer-de-Forges, A., Lehmann, S., Bourennane, H., Saby, N.P.A., Martin, M.P., Vaudour, E., Gomez, C., Lagacherie, P., & Arrouays, D.* (2019). Satellite data integration for soil clay content modelling at a national scale. International Journal of Applied Earth Observation and Geoinformation, 82, 101905.

  17. Liang, Z., Chen, S., Yang, Y., Zhou, Y., & Shi, Z.* (2019). High-resolution three-dimensional mapping of soil organic carbon in China: effects of SoilGrids products on national modeling. Science of the Total Environment, 685, 480-489.

  18. Xu, D., Chen, S., Viscarra Rossel, R.A., Biswas, A., Li, S., Zhou, Y., & Shi, Z.* (2019). XRF and vis‒NIR sensor fusion for predicting soil Chromium content. Geoderma, 352, 61-69.

  19. Liu, S., Shen, H., Chen, S., Zhao, X., Biswas, A., Jia, X., Shi, Z., & Fang, J.* (2019). Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment. Geoderma, 348, 37-44.

  20. Ji, W., Adamchuk, V. I., Chen, S., Su, A. S. M., Ismail, A., Gan, Q., Shi, Z., & Biswas, A.* (2019). Simultaneous measurement of multiple soil properties through proximal sensor data fusion: A case study. Geoderma, 341, 111-128.

  21. Liang, Z., Chen, S., Yang, Y., Zhao, R., Shi, Z.*, & Rossel, R. A. V. (2019). Baseline map of soil organic matter in China and its associated uncertainty. Geoderma, 335, 47-56. 

  22. Xu, D., Zhao, R., Li, S., Chen, S., Jiang, Q., Zhou, L., & Shi, Z.* (2019). Multi‐sensor fusion for the determination of several soil properties in the Yangtze River Delta, China. European Journal of Soil Science, 70, 162-173.

  23. Teng, H., Liang, Z., Chen, S., Liu, Y., Viscarra Rossel, R. A., Chappell, A., Yu, W., & Shi, Z.* (2018). Current and future assessments of soil erosion by water on the Tibetan Plateau based on RUSLE and CMIP5 climate models. Science of the Total Environment, 635, 673-686. 

  24. Jia, X., Chen, S., Yang, Y., Zhou, L., Yu, W., & Shi, Z.* (2017). Organic carbon prediction in soil cores using VNIR and MIR techniques in an alpine landscape. Scientific Reports, 7(1), 2144.

  25. Hu, B., Chen, S., Hu, J., Xia, F., Xu, J., Li, Y., & Shi, Z.* (2017). Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution. PLoS One, 12(2), e0172438.

  26. Li, S., Shi, Z.*, Chen, S., Ji, W., Zhou, L., Yu, W., & Webster, R. (2015). In situ measurements of organic carbon in soil profiles using vis-NIR spectroscopy on the Qinghai–Tibet plateau. Environmental Science & Technology, 49(8), 4980-4987.