洪永胜，武汉大学资源与环境科学学院副研究员。研究方向：土壤遥感信息技术与土壤生态学制图。以第一作者身份在国内外期刊发表论文20余篇，其中SCI论文18篇（中国科学院2区以上16篇），H-index为30，论文被引用2600余次。研究成果入选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（2023-2025年）和面上项目（2026-2029年）、国家重点研发计划子课题（2022-2026年）、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武汉大学人才引进项目。入选2024年江苏省青年科技人才托举工程，入选2024年和2025全球前2%顶尖科学家榜单，获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、2026年World Congress of Soil Science分会场专题召集人，《Remote Sensing》《土壤学报》和《农业环境科学学报》等期刊青年编委，以及多本SCI期刊专刊Guest Editor。讲授《土壤地理学》和《碳核算与碳管理》课程。
【工作经历】
2025/01—至今 武汉大学 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., Chen, Y., Chen, S., Wang, Y., Hu, W., Ye, S., Song, X., Liu, F., Zhao, Y., Demattê, A.M., Shi, L., Shen, H., Shi, Z., Zhang, G., Liu, Y. 2025. Bridging the gap between laboratory VNIR-SWIR spectra and Landsat-8 bare soil composite image for soil organic carbon prediction[J]. Remote Sensing of Environment 328, 114874.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
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、土壤学等相关学科学生报考。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）。
