程明瀚，男，副教授，硕士生导师，2022年6月于河海大学获得工学博士学位，2022年扬州大学青年百人。

主要从事农业遥感及智慧农业等领域的研究，具体为基于多源遥感数据的作物表型高通量获取。以第一/通讯作者身份在Earth System Science Data，Agricultural and Forest Meteorology，Agricultural Water Management等期刊发表学术论文20余篇。申请国家发明专利3项，已授权1项。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Agronomy，Frontiers in Envrionmental Science等期刊客座编辑，Agricultural Water Management，Ecological Indicators等期刊审稿人。

指导学生主持国家级大学生科创项目，省级研究生科创项目，校级大学生科创项目等多项；指导学生获全国大学生生命科学竞赛，挑战杯等比赛奖项；指导学生获校级优秀本科生毕业论文1篇。主讲课程《农业信息技术》、《人工智能前沿》。

欢迎对农业遥感以及智慧农业有兴趣的同学报考研究生！

主持/参与的主要项目：

1.国家自然科学基金青年项目，基于组分分离的农田潜热通量时间尺度拓展研究，2024.1-2026.12，主持；

2.江苏省自然科学基金青年项目，结合天-空-地多源遥感指标的水稻产量动态预测研究，2023.8-2026.7，主持；

3.中国博士后基金面上项目，农田多组分潜热通量时间尺度拓展研究，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，联合植株密度和整齐度的玉米苗情无人机影像评估方法研究，参与；

主要奖项：

1.河海大学优秀博士学位论文，2023年；

2.江苏省优秀博士学位论文，2023年；

3.全国高等学校水利类专业优秀博士学位论文，2023年。

发表的主要论文：

2025：

1. Cheng, M., Song, N., Penuelas, J., McCabe, M. F., Jiao, X., Lv, Y., ... & Jin, X. (2025). A framework of crop water productivity estimation from UAV observations: A case study of summer maize. Agricultural Water Management, 317, 109621.

2. Cheng, M., Jin, X. , Nie, C. , Liu, K. , Wu, T. , & Lv, Y. , et al. (2025). Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale. BMC Plant Biology, 25(1).

3. Sun, D. , Zhang, H. , Qi, Y. , Ren, Y. , Zhang, Z. , & Li, X. , Cheng, M.* (2025). A comparative analysis of different algorithms for estimating evapotranspiration with limited observation variables: a case study in beijing, china. Remote Sensing, 17(4).

2024：

1. Cheng, M., Liu, K., Liu, Z., Xu, J., Zhang, Z., & Sun, C. (2024). Combination of multiple variables and machine learning for regional cropland water and carbon fluxes estimation: a case study in the haihe river basin. Remote Sensing, 16(17), 3280.

2. Cheng, M., Lu, X., Liu, Z., Yang, G., Zhang, L., Sun, B., ... & Sun, C. (2024). Accurate Characterization of Soil Moisture in Wheat Fields with an Improved Drought Index from Unmanned Aerial Vehicle Observations. Agronomy, 14(8), 1783.

3. Liu, Z., Ju, H., Ma, Q., Sun, C., Lv, Y., Liu, K., Wu, T. and Cheng, M.,* 2024. Rice yield estimation using multi-temporal remote sensing data and machine learning: a case study of Jiangsu, China. Agriculture, 14(4), p.638.

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.