基本信息：
姓名：黄佳鹏
政治面貌：中共党员
个人邮箱：huangjiapeng@lntu.edu.cn
教育经历：
2018.09-2021.06 博士 东北林业大学 林业工程
2015.09-2018.06 硕士 辽宁工程技术大学 测绘科学与技术
2011.09-2015.06 学士 黑龙江工程学院 测绘工程
工作经历：
2021.08-今 辽宁工程技术大学 测绘与地理科学学院 副教授/博导
研究方向：
林业定量遥感，激光雷达数据处理
代表性论文：
[1] Huang J., Zhang Y., Mo F.. Hierarchically Optimized Forest Coverage Modeling with Multi-Source Remote Sensing Data for High-Precision Understory Terrain Mapping [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2026, doi: 10.1109/JSTARS.2026.3663861.
[2] Zhang Y., Huang J., Liang L., Mo F.. A Hierarchical Optimization Model Based on Multisource Remote Sensing to Correct FABDEM [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 5267-5282, 2026, doi: 10.1109/JSTARS.2026.3656929.
[3] Huang J., Zhang Y., Yang X., Mo F.. A Deep Learning-Based Model for Forest Canopy Height Mapping Using Multisource Remote Sensing Data [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 19, pp. 4842-4857, 2026, doi: 10.1109/JSTARS.2026.3653676.
[4] 黄佳鹏, 张玥, 莫凡,等.协同多模态星载LiDAR数据校正SRTM林下地形[J].农业机械学报,2026.
[5] 黄佳鹏, 张玥, 郑涛，等. 基于机器学习分级优化的森林区域FABDEM林下地形校正方法[J].农业机械学报,2026.
[6] 黄佳鹏, 张玥, 杨晓竹,莫凡. 多源遥感融合下的GEDI冠层高度误差校正与区域尺度反演研究[J].农业机械学报,2026.
[7] Huang.J. , Cao. X. ,Yu Y. , Shuai Y. , Wu H.. "Understory Terrain Estimation Based on the Fusion of Multisource Remote Sensing Data and Machine Learning Models [J] IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-18, 2025, Art no. 4419118, doi: 10.1109/TGRS.2025.3615149.
[8] Xia, T.; Huang, J. Assessing Synergistic Effects on NPP from a Refined Vegetation Perspective: Ecological Projects and Climate in Heilongjiang. Forests 2025, 16, 1574. https://doi.org/10.3390/f16101574.
[9] Huang, Jiapeng, Piao, Runxin, Liang Lianhui. Estimation of Canopy Coverage Based on Multisource Remote Sensing Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025,18, 21342-21354. doi: 10.1109/JSTARS.2025. 3599881.
[10] Huang, Jiapeng, Yang Xiaozhu. Evaluation and improvement of the vertical accuracy of the global open DEM under forest environment [J]. Geocarto International, 10.1080/2150704X.2025.2454040.
[11] HUANG Jia-Peng, FAN Qing-Nan, ZHANG Yue. Understory terrain estimation using multi-source remote sensing data under different forest-type conditions[J]. Journal of Infrared and Millimeter Waves,2025,44(6):920~933.
[12] 黄佳鹏.基于ICESat-2/ATLAS光子计数LiDAR数据反演森林冠层高度研究[J].测绘学报,2025,54(8).
[13] Huang Jiapeng., Xia Tingting. Multilevel Adaptive Photon Cloud Noise Filtering Algorithm for Different Observation Time Scenes in Forest Environments [J], IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3347401.
[14] Huang, J.; Yu, Y. Vertical Accuracy Assessment of the ASTER, SRTM, GLO-30, and ATLAS in a Forested Environment [J]. Forests 2024, 15, 426.
[15] Huang, J., Zhang, Y., Yu, Y. Mathematical model guided interpolation for mapping SRTM understory terrain by integrating ICESat-2 data[J]. IEEE Geoscience and Remote Sensing Letters, 2024.doi:10.1109/LGRS.2024. 3412396.
[16] Huang, Jiapeng, Yang, Y, Yu Yang, et al. Vertical accuracy of open-source remote sensing data (AW3D30, TanDEM-X, ATLAS) for understory terrain estimation [J]. Geocarto International, 2024, 39(1):2356855.
[17] Huang, J.; Thilini Madushani, J.A.; Xia, T.; Gan, X. Optimizing Forest Canopy Height Estimation Through Varied Photon-Counting Characteristic Parameter Analysis, Window Size, and Forest Cover. Forests 2024, 15, 1957. https://doi.org/10.3390/f15111957
[18] Huang, J.; Zhang, Y.; Ding, J. Combining LiDAR, SAR, and DEM Data for Estimating Understory Terrain Using Machine Learning-Based Methods. Forests 2024, 15, 1992. https://doi.org/10.3390/f15111992.
[19] Huang, J.; Wang, Y.; Yu, Y. Multi-Criteria Filtration and Extraction Strategy for Understory Elevation Control Points Using ICESat-2 ATL08 Product. Forests 2024, 15, 2064. https://doi.org/10.3390/f15122064.
[20] Huang, J.; Cao, X. Assessment and Optimization of Forest Aboveground Biomass in Liaoning Province. Forests 2024, 15, 2095. https://doi.org/10.3390/f15122095.
[21] Huang, J.; Yu, Y. Understory Terrain Estimation by Synergizing Ice, Cloud, and Land Elevation Satellite-2 and Multi-Source Remote Sensing Data. Remote Sensing. 2024, 16, 4770. https://doi.org/10.3390/rs16244770.
[22] 黄佳鹏,李国元,刘诏.星载激光雷达估测森林结构参数研究现状分析与展望[J].农业机械学报,2024,55(6):18-33.
[23] Huang, J., Xia T., Yu Y, et al. Assessing the Performance of GEDI LiDAR Data for Estimating Terrain in Densely Forested Areas [J]. IEEE Geoscience and Remote Sensing Letters, 2023. Doi: 10.1109/LGRS.2023.3306875.
[24] 黄佳鹏,夏婷婷,宇洋.GEDI与Tandem-X DEM估测密林林下地形性能评价[J].农业机械学报,2023,54(09):279-287.
[25] Huang, J., Xing, Y., Shuai Y., et al. A Novel Noise Filtering Evaluation Criterion of ICESat-2 Signal Photon Data in Forest Environments [J]. IEEE Geoscience and Remote Sensing Letters,2022. Doi:10.1109/LGRS.2022.3163143.
[26] Huang, J., Xing, Y., You, H., et al. Particle Swarm Optimization-Based Noise Filtering Algorithm for Photon Cloud Data in Forest Area [J]. Remote Sensing,2019, 11(8), 980. doi:10.3390/rs11080980.
[27] Xing Yanqiu, Huang Jiapeng*, Armin Gruen et al. Assessing the Performance of ICESat-2/ATLAS Multi-Channel Photon Data for Estimating Ground Topography in Forested Terrain [J]. Remote Sensing, 2020, 12(13), 2084.
[28] 黄佳鹏,邢艳秋,秦磊,夏婷婷.ICESat-2/ATLAS数据反演林下地形精度验证[J].红外与激光工程, 2020, 49(11): 122-131.
[29] 黄佳鹏,邢艳秋,秦磊,马建明.弱光束条件下森林区域光子云去噪算法精度研究[J].农业机械学报,2020,51(04):164-172.
代表性专利及软件著作权：
[1] 黄佳鹏,夏婷婷,祝会忠. 基于多模态星载激光雷达数据的林下地形数据集生成方法[P]. 辽宁省：CN115436965A,2022-12-06.
[2] 黄佳鹏,张玥, 宇洋, 等.基于多模态星载激光雷达的区域尺度林下地形生成方法[P].辽宁省: 202411559130.9,2024-12-07.
[3] 黄佳鹏,夏婷婷.多模态星载LiDAR估测林下地形与冠层高度精度评估软件V1.0. 2024SR1910724.
科研项目：
[1] 国家自然科学基金：顾及森林结构参数的星载光子计数LiDAR反演林下地形研究 (主持)
[2] 国家自然科学基金：基于轨载式移动激光扫描的盾构隧道变形超前预警方法研究 (参与)
[3] 时空数据智能领域科技重点专项：结合深度学习算法的多源遥感数据估测林下地形研究 (主持)
[4] 辽宁省自然科学基金计划:基于星载光子计数激光雷达的森林冠层高度穿透反演研究 (主持)
[5] 辽宁省教育厅基本科研项目：协同星载激光雷达和多源数据的林下地形估测研究 (主持)
[6] 中央高校基本科研业务费专项资金：ICESat-2星载光子云数据反演森林结构参数算法研究 (主持)
[7] 辽宁工程技术大学博士启动经费：星载激光雷达协同多源数据估测森林结构参数研究 (主持)
[8] 国家重点研发计划项目：中欧对地观测合作森林监测技术与示范应用 (参与)
[9] 国家重点研发计划项目：激光雷达人工林垂直结构参数高精度提取技术 (参与)
[10] 国家自然科学基金面上项目:长距离单历元网络RTK实时高精度电离层延迟改正模型研究 (参与)
[11] 国家自然科学基金面上项目:单光子激光测高卫星陆海测绘应用关键问题研究 (参与)
指导学生情况：
指导在读博士研究生1人，硕士研究生11人，其中3人荣获研究生国家奖学金。
学术组织兼职：
Nature communications, ISPRS，JAG，Journal of Remote Sensing，Global Ecology and Conservation，Ecological Indicators，IEEE TGRS，JSTARS，GRSL，Remote Sensing，Land，Forest审稿人
国际数字地球协会 会员
激光雷达专委会 委员
