2014.09-2018.06，武汉大学 测绘遥感信息工程国家重点实验室，摄影测量与遥感专业，博士；

2018.09-至今，山东科技大学，测绘与空间信息学院

植被遥感：基于遥感大数据的多尺度植被参数提取

《遥感原理与应用》，《高光谱遥感》，《定量与高光谱遥感》

1. 国家自然科学基金，主持;

2. 山东省自然科学基金，主持；

3. 武汉大学测绘遥感信息工程国家重点实验室开放研究基金，主持；

4. 自然资源部海洋测绘重点实验室开放研究基金，主持。

1. 山东省科学技术进步奖一等奖，多源遥感高精度信息提取关键技术与应用，本人位次：13/15；

2. 青岛市科学技术一等奖，高分辨率卫星数据智能化处理关键技术及应用，本人位次：9/15。

无

1.Linjing Zhang, Xiaoxue Zhang*, Zhenfeng Shao, Wenhao Jiang, and Huimin Gao. Integrating Sentinel-1 and 2 with LiDAR data toestimate aboveground biomass of subtropicalforests in northeast Guangdong, China.International Journalof Digital Earth, 2023, 16 (1): 158-182.(SCI,一区)

2.Linjing Zhang, Jing Chen*, Xinran Yin, Yaru Wang. Multi-features deep learning framework for aboveground biomass mapping in semi-arid forests by integrating LiDAR with Sentinel-1 and Sentinel-2 time series.Ecological Informatics, 2025,91:103408.(SCI,二区)

3.Linjing Zhang, Yaru Wang, Xinran Yin*, Jing Chen.A spectral-spatial-temporal deep learning model for large area aboveground biomass mapping of semiarid forest using Sentinel-1 and 2 time series.International Journal of Digital Earth, 2025,18 (2): 2562055.(SCI,二区)

4.Linjing Zhang, Huimin Gao*, Xiaoxue Zhang. Combining Radiative Transfer Model and Regression Algorithms for Estimating Aboveground Biomass of Grassland in West Ujimqin, China.Remote Sensing, 2023,15(11):2918.(SCI,二区)

5.Linjing Zhang, Xinran Yin*, Yaru Wang, Jing Chen. Aboveground biomass mapping in semiarid forests by integrating airborne LiDAR with Sentinel-1 and Sentinel-2 time-series data.Remote Sensing, 2024,16(17): 3241.(SCI,二区)

6.Wenhao Jiang,Linjing Zhang*, Xiaoxue Zhang, Si Gao, Huimin Gao, Lin Sunand Guangjian Yan. Multi-Decision Vector Fusion Model for Enhanced Mapping of Aboveground Biomass in Subtropical Forests Integrating Sentinel-1, Sentinel-2, and Airborne LiDAR Data.Remote Sensing, 2025, 17(7):1285.(SCI,二区)

7. Zhenfeng Shao,Linjing Zhang*, and Lei Wang. Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-ground Biomass.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2017,10(12): 5569-5582.(SCI,二区)

8.Linjing Zhang, Zhenfeng Shao*, Jianchen Liu, and Qimin Cheng. Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data.Remote Sensing, 2019,11(12): 1459.(SCI,二区)

9. Zhen Zhang, Tao Jiang, Chenxi Liu,Linjing Zhang*. An effective classification method for hyperspectral image with very high resolution based on encoder-decoder architecture.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14:1509-1519.(SCI,二区)

10. Zhenfeng Shao andLinjing Zhang*. Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China.SENSORS, 2016,16(6):834.(SCI,三区)

专利1，邵振锋，张邻晶. 光学反射模型与微波散射模型协同的森林生物量反演方法. 专利号：ZL 2014 1 0799878.6，2017年2月22日；

专利2， 邵振锋，张邻晶. 一种城市地上生物量光学微波协同反演方法及系统. 专利号：ZL 2019 1 0046622.0，2022年12月02日.