洪永胜，mk体育副研究员。研究方向：土壤遥感信息技术与土壤生态学制图。以第一作者在国内外期刊发表论文20余篇，其中SCI论文17篇（中国科学院2区以上15篇），H-index为28，论文被引用2200多次，成果入选ESI高被引、“中国百篇最具影响国内学术论文”和“F5000中国精品科技期刊顶尖学术论文”。主持国家自然科学青年基金项目、国家重点研发计划子课题、中国博士后科学基金面上项目、中国科学院南京土壤研究所和mk体育人才引进项目。入选2019年mk体育第13届研究生“十大学术之星”、2024年江苏省青年科技人才托举工程、2024年全球前2%顶尖科学家榜单，获中国土壤学会土壤遥感与信息专业委员会2018年联合学术研讨会“优秀报告奖”、2024年长江科学技术奖“科技进步二等奖”等奖励。担任中国土壤学会土壤遥感与信息专业委员会委员，FAO全球土壤光谱工作组GLOSOLAN-Spec成员，全球90米土壤碳制图北亚区负责人，《Remote Sensing》、《土壤学报》和《农业环境科学学报》等期刊青年编委，多本SCI期刊的专刊Guest Editor。讲授《土壤地理学》课程。
【工作经历】
2025/01—至今 mk体育 副研究员
2023/11—2024/12 中国科学院南京土壤研究所 助理研究员
2021/09—2023/11 浙江大学 博士后
【代表论著】
[1] Hong, Y.S., Sanderman, J., Hengl, T., Chen, S., Wang, N., Xue, J., Zhuo, Z., Peng, J., Li, S., Chen, Y., Liu, Y., Mouazen, A.M., Shi, Z. 2024. Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation[J]. CATENA 235, 107628.
[2] Hong, Y.S., Chen, S., Hu, B., Wang, N., Xue, J., Zhuo, Z., Yang, Y., Chen, Y., Peng, J., Liu, Y., Mouazen, A.M., Shi, Z. 2023a. Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network[J]. Geoderma 437, 116584.
[3] Hong, Y.S., Chen, Y., Chen, S., Shen, R., Guo, L., Liu, Y., Mouazen, A.M., Shi, Z. 2023b. Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification[J]. Geoderma 430, 116284.
[4] Hong, Y.S., Chen, Y., Chen, S., Shen, R., Hu, B., Peng, J., Wang, N., Guo, L., Zhuo, Z., Yang, Y., Liu, Y., Mouazen, A.M., Shi, Z. 2022a. Data mining of urban soil spectral library for estimating organic carbon[J]. Geoderma 426, 116102.
[5] Hong, Y.S., Munnaf, M.A., Guerrero, A., Chen, S., Liu, Y., Shi, Z., Mouazen, A.M. 2022b. Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon[J]. Soil and Tillage Research 217, 105284.
[6] Hong, Y.S., Chen, S., Chen, Y., Linderman, M., Mouazen, A.M., Liu, Y., Guo, L., Yu, L., Liu, Y., Cheng, H., Liu, Y. 2020a. Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest[J]. Soil and Tillage Research 199, 104589.
[7] Hong, Y.S., Guo, L., Chen, S., Linderman, M., Mouazen, A.M., Yu, L., Chen, Y., Liu, Y., Liu, Y., Cheng, H., Liu, Y. 2020b. Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm[J]. Geoderma 365, 114228.
[8] Hong, Y.S., Chen, S., Liu, Y., Zhang, Y., Yu, L., Chen, Y., Liu, Y., Cheng, H., Liu, Y. 2019a. Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared spectroscopy[J]. CATENA 174, 104-116.
[9] Hong, Y.S., Liu, Y., Chen, Y., Liu, Y., Yu, L., Liu, Y., Cheng, H. 2019b. Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy[J]. Geoderma 337, 758-769.
[10] Hong, Y.S., Shen, R., Cheng, H., Chen, S., Chen, Y., Guo, L., He, J., Liu, Y., Yu, L., Liu, Y. 2019c. Cadmium concentration estimation in peri-urban agricultural soils: Using reflectance spectroscopy, soil auxiliary information, or a combination of both?[J]. Geoderma 354, 113875.
详细论文发表情况：
https://scholar.google.com/citations?hl=zh-CN&user=uhKLfP8AAAAJ&view_op=list_works&sortby=pubdate
【招生培养】
自2026年起每年招收硕士研究生，欢迎地理科学、遥感科学与技术、地理信息系统、土壤学等相关学科员工报考。欢迎高年级本科生加入研究组。请将个人简历发送至邮箱（hys@whu.edu.cn）。
