职称/职务

讲师

博导/硕导

硕导

联系电话

13018070079

电子邮箱

zhanglinjing@sdust.edu.cn

办公地址

J6-443

学习与工作经历

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，讲师

研究方向

植被遥感

主讲课程

《遥感原理与方法》，《高光谱遥感》，《定量与高光谱遥感》

承担科研

课题

1.山东省自然科学基金青年基金，“基于光学与微波遥感数据协同反演森林地上生物量的方法研究”，主持；

2.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；

3.自然资源部海洋测绘重点实验室开放研究基金，主持；

获奖情况

无

著作

无

论文

1. 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 Sens,11(12): 1459, 2019. (SCI)

2. 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, 10(12):5569-5582, 2017.(SCI)

3. 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, 14: 1509-1519, 2021.(SCI)

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

5. Linjing Zhang, Zhenfeng Shao*, and Chunyuan Diao. Synergistic retrieval model of forest biomass using the integration of optical and microwave remote sensing. Journal of Applied Remote Sensing, 9: 096069, 2015.(SCI)

6. Linjing Zhang, Qimin Cheng*, and Congmin Li. Improved model for estimating the biomass of Populus euphratica forest using the integration of spectral and textural features from the Chinese high-resolution remote sensing satellite GaoFen-1.  Journal of Applied Remote Sensing , 9: 096010, 2015.(SCI)

7. Xinliang Pan, Tao Jiang, Zhen Zhang, Baikai Sui, Chenxi Liu and Linjing Zhang*. A New Method for Extracting Laver Culture Carriers Based on Inaccurate Supervised Classification with FCN-CRF. Journal of Marine Science and Engineering, 8(4):274, 2020.(SCI)

8. Linjing Zhang, Zhenfeng Shao*, and Zhiguo Wang. Estimation of forest aboveground biomass using the integration of spectral and textural features from GF-1 satellite image. 2016 Fourth International Workshop on Earth Observation and Remote Sensing Applications, pp. 353-357, 2016.(国际会议)

专利

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。