程明瀚，男，讲师，硕士生导师，2022年6月于河海大学获得工学博士学位。扬州大学青年百人。主要从事植物表型、农业遥感及水文遥感等领域的研究。以第一作者身份在Earth System Science Data，Agricultural and Forest Meteorology，Agricultural Water Management等领域内知名SCI期刊发表学术论文12篇。主持国家自然科学基金青年项目，江苏省自然科学基金青年项目，中国博士后基金面上项目，扬州大学科研启动基金等项目多项。担任Agricultural Water Management，Ecological Indicators等期刊审稿人。

    研究方向：基于多源遥感平台的作物表型高通量获取。

   欢迎有兴趣的同学报考我的研究生！

主持获参与的主要项目：

1.国家自然科学基金青年基金，主持；

2.江苏省自然科学基金青年基金，主持；

3.中国博士后基金面上项目，主持；

4.扬州大学青年百人启动基金，主持；

5.国家自然科学基金面上项目，参与。

主要奖项：

1.2023年河海大学优秀博士论文；

2.2023年江苏省优秀博士论文；

3.2023年全国水利类优秀博士论文。

发表的主要论文：

2023：

1. Cheng, M., Sun, C., Nie, C., Liu, S., Yu, X., Bai, Y., ... & Jin, X. (2023). Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize. Agricultural Water Management, 287, 108442. (IF=6.7)

2. Cheng, M., Yin, D., Wu, W., Cui, N., ... & Jin, X. (2023). A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation. International Journal of Remote Sensing, 44(16), 5033-5068. (IF=3.4)

2022：

1. Cheng, M., Jiao, X., Shi, L., Penuelas, J., Kumar, L., Nie, C., ... & Jin, X. (2022). High-resolution crop yield and water productivity dataset generated using random forest and remote sensing. Scientific Data, 9(1), 641. (IF=9.8)

2. Cheng, M., Penuelas, J., McCabe, M. F., Atzberger, C., Jiao, X., Wu, W., & Jin, X. (2022). Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China. Agricultural and Forest Meteorology, 323, 109057. (一区TOP，IF=6.424)

3. Cheng, M., Shi, L., Jiao, X., Nie, C., Liu, S., Yu, X., Jin, X. (2022). Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods. Journal of Hydrology: Regional Studies, 40, 101057. (二区，IF=5.437)

4. Cheng, M., Jiao, X., Liu, Y., Shao, M., Yu, X., Bai, Y., ... & Jin, X. (2022). Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning. Agricultural Water Management, 264, 107530. (一区TOP，IF=6.611)

5. Cheng, M., Li, B., Jiao, X., Huang, X., Fan, H., Lin, R., & Liu, K. (2022). Using multimodal remote sensing data to estimate regional-scale soil moisture content: A case study of Beijing, China. Agricultural Water Management, 260, 107298. (一区TOP，IF=6.611)

2021：

1. Cheng, M., Jiao, X., Li, B., Yu, X., Shao, M., & Jin, X. (2021). Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation. Earth System Science Data, 13(8), 3995-4017. (一区TOP，IF=11.815)

2. Cheng, M., Jiao, X., Jin, X., Li, B., Liu, K., & Shi, L. (2021). Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors. Agricultural Water Management, 255, 107046. (一区TOP，IF=6.611)

3. Cheng, M., H Zhang, Y Qi, Z Hao, C Li "Multi-indicators comprehensive regulation of water-nitrogen coupling based on PCA of strawberry." Fresenius Environmental Bulletin 30.2 A (2021): 2114-2126.

2020：

1. Cheng, M., X Jiao, W Guo, S Wang. "The Temporal and Spatial Distribution Characteristics of Evapotranspiration in Beijing Based on SEBAL." Fresenius Environmental Bulletin 29.11 (2020): 9581-9589.

2. Cheng, M., X Jiao, W Guo, S Wang, Y Pan. "Temporal and spatial distribution characteristics of irrigation water requirement for main crops in the plain area of Hebei Province." Irrigation and Drainage 69.5 (2020): 1051-1062.