职务

职称

副研究员

通讯地址

四川省成都市天府新区群贤南街189号，中国科学院、水利部成都山地灾害与环境研究所

邮编

610213

电子邮件

jinhuaan@imde.ac.cn

简 历

2011.07－至今，中国科学院成都山地灾害与环境研究所，数字山地与遥感应用中心，助理研究员、副研究员

2022.09－2023.09，法国生物圈空间研究中心（CESBIO），访问学者

2008.09－2011.07，北京师范大学，地理科学学部，博士

2005.09－2008.07，中国科学院东北地理与农业生态研究所，硕士

2001.09－2005.07，聊城大学，环境与规划学院，学士

研究领域

植被参数遥感反演与数据同化、机器/深度学习遥感应用、长时序遥感产品应用分析

获奖及荣誉

培养多名学生获国家奖学金、优秀研究生奖学金等荣誉；

中国科学院“西部青年学者”、SCI期刊“Chinese Geographical Science”青年编委、国际数字地球学会中国国家委员会数字山地专业委员会委员、中国遥感应用协会定量遥感专业委员会青年委员、遥感科学研究生沙龙优秀指导教师、中国农业工程学会优秀论文奖

代表性论著

发表论文80余篇，代表性论文：

[1]Zhang, X.,Jin, H.^*, Zhao, W., Yin, G., Xie, X., Fan, J. (2025). Assessment of satellite-derived FAPAR products with different spatial resolutions for gross primary productivity estimation.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 3087-3098.

[2]Liu, Z., An, R., Qiao, Y., Ma, X., Gao, L.,Jin, H.^*(2025). Estimation of leaf area index using radiative transfer process-guided deep learning.IEEE Geoscience and Remote Sensing Letters, 22, 2500705.

[3]Jin, H., Qiao, Y., Liu, T., Xie, X., Fang, H., Guo, Q., Zhao, W. (2024). A hierarchical downscaling scheme for generating fine-resolution leaf area index with multisource and multiscale observations via deep learning.International Journal of Applied Earth Observation and Geoinformation, 133, 104152.

[4]An, R.,Jin, H.^*, Zhao, H., Wei, D., Zhao, W., Wang, X. (2024). Productivity experienced a more rapid enhancement trend than greenness across the Tibetan Plateau.Science of the Total Environment, 954, 176666.

[5]Jin, H., Li, A., Liang, S., Ma, H., Xie, X., Liu, T., He, T. (2022). Generating high spatial resolution GLASS FAPAR product from Landsat images.Science of Remote Sensing, 6, 100060.

[6]Liu, T.,Jin, H.^*, Xie, X., Fang, H., Wei, D., Li, A. (2022). Bi-LSTM model for time series leaf area index estimation using multiple satellite products.IEEE Geoscience and Remote Sensing Letters, 19, 2506805.

[7]Zhang, W.,Jin, H.^*, Li, A., Shao, H., Xie, X., Lei, G., Nan, X., Hu, G., Fan, W. (2022). Comprehensive assessment of performances of long time series LAI, FVC and GPP products over mountainous areas: A case study in the Three-River Source region, China.Remote Sensing, 14, 61.

[8]Jin, H., Li, A., Xu, W., Xiao, Z., Jiang, J., Xue, H. (2019). Evaluation of topographic effects on multiscale leaf area index estimation using remotely sensed observations from multiple sensors.ISPRS Journal of Photogrammetry and Remote Sensing, 154, 176-188.

[9]Jin, H., Li, A., Yin, G., Xiao, Z., Bian, J., Nan, X., Jing, J. (2019). A multiscale assimilation approach to improve fine resolution leaf area index dynamics.IEEE Transactions on Geoscience and Remote Sensing, 57(10), 1-16.

[10]Jin, H., Li, A., Bian, J., Nan, X., Zhao, W., Zhang, Z., Yin, G. (2017). Intercomparison and validation of MODIS and GLASS leaf area index (LAI) products over mountain areas: A case study in southwestern China.International Journal of Applied Earth Observation and Geoinformation, 55, 52-67.

[11]Jin, H., Li, A., Wang, J., Bo, Y. (2016). Improvement of spatially and temporally continuous crop leaf area index by integration of CERES-Maize model and MODIS data.European Journal of Agronomy, 78, 1-12.

在研项目

国家自然科学基金面上项目“基于深度学习的不同空间尺度时间序列叶面积指数遥感反演”，2021-2024.

中国科学院“西部青年学者”项目“四川省高分辨率叶面积指数遥感反演及产品生产”，2021-2023.

国家重点研发计划子课题“山地关键参数通用快速反演算法构建与验证”，2021-2025.