靳华安，理学博士，研究员、博士生导师、硕士生导师、法国生物圈空间研究中心（CESBIO）访问学者。兼任国际SCI期刊Chinese　Geographical　Science青年编委、中国遥感应用协会定量遥感专业委员会青年委员、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。

2005年，毕业于聊城大学，获学士学位；2008年在中国科学院东北地理与农业生态研究所获得地图学与地理信息系统专业硕士学位；2011年在北京师范大学获得地图学与地理信息系统专业博士学位。随后加入中国科学院成都山地灾害与环境研究所，历任助理研究员、副研究员和研究员，并曾赴法国CESBIO开展访学研究。先后承担国家自然科学基金青年、面上（3项）、区域联合重点项目课题、国家重点研发计划子课题、省部级项目等科研任务。在国内外学术期刊发表论文80余篇，出版专著／地图集4部，授权国际／国内发明专利4项。

主要从事植被定量遥感、生态遥感研究，重点围绕典型生态参量开展遥感反演理论与方法创新、以及遥感监测应用研究。近期研究聚焦于：融合深度学习的生态参量遥感智能反演与动态监测；植被参数遥感反演与数据同化；长时间序列遥感产品应用分析；植被对气候变化与人类活动的响应与反馈。

[1] Qiao, Y., Jin, H.*, He, T., Liang, S., Tian, F., Zhao, W., & Liu, Z. (2026). High spatial resolution GLASS FAPAR (version 2) product from Landsat imagery: Algorithm development using a knowledge transfer strategy. International Journal of Applied Earth Observation and Geoinformation, 146, 105051.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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.

[7] 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.

[8] 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.

[9] 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.

[10] 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.

[11] 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.

[12] 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.