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【硕士生导师】 招生方向：智能科学、人工智能 【研究方向】 环境遥感 热红外遥感 全球温度估算 气象灾害监测与预警 数字农业智能化算法 农作物生长过程模拟与监测
中国仿真学会农业建模与仿真专业委员会委员
1、主讲智能科学与技术专业课程《最优化理论》、《信号分析与处理》 2、主讲测控技术与仪器专业《数字信号处理》、《数字图像处理》（双语课程） 3、主讲硕士研究生课程《环境遥感》（双语教学） 纵向科研
1、“全球粮食和病虫害监测与预警”国家重点研发计划重点专项子课题（2023YFB3906201-02），202312-202611 2、基于多源卫星数据的东北主要农作物适宜播种期动态制图方法研究，国家自然科学基金项目（42101364），202201-202512 3、“基于多源数据的浙江茶叶冻害遥感监测方法研究”, 浙江省自然科学基金（LQ21D010006），202101-202312 横向科研
论文
【一作或通讯】 Huang, R., et al.，2025. A novel framework for dynamic and quantitative mapping of damage severity due to compound Drought–Heatwave impacts on tea Plantations, integrating Sentinel-2 and UAV images. Comput. Electron. Agric. 228, 109688. https://doi.org/10.1016/j.compag.2024.109688 Huang, R., et al., 2025. A novel scheme for seamless global mapping of daily mean air temperature (SGM_DMAT) at 1-km spatial resolution using satellite and auxiliary data. Ecol. Inf. 90, 103266. https://doi.org/10.1016/j.ecoinf.2025.103266 Lin, Z., Huang, R.*, et al., 2025. Silage maize identification using a temporal difference-based model with sentinel-2 data: insights from a harvest-based and temporally transferable approach. Agronomy 15, 1438. https://doi.org/10.3390/agronomy15061438 (本科生一作SCI) Huang, R., et al., 2023. The Impact of Meteorological Conditions on the Growth of Spring Maize in Northeast China, in: 2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics). Presented at the 2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics), pp. 1–4. https://doi.org/10.1109/Agro-Geoinformatics59224.2023.10233611 Xiao, Y., Li, S., Huang, J., Huang, R.*, et al., 2023. A New Framework for the Reconstruction of Daily 1 km Land Surface Temperatures from 2000 to 2022. Remote Sens. 15, 4982. https://doi.org/10.3390/rs15204982 Huang, R., et al., 2020. Soil temperature estimation at different depths, using remotely-sensed data. J. Integr. Agric. 19, 277–290. https://doi.org/10.1016/S2095-3119(19)62657-2（2020年高被引论文） Du, M., Huang, J., Wei, P., Yang, L., Chai, D., Peng, D., Sha, J., Sun, W., Huang, R. *. Dynamic Mapping of Paddy Rice Using Multi-Temporal Landsat Data Based on a Deep Semantic Segmentation Model. Agronomy 2022, 12, 1583. Liu, W., Sun W., Huang, J., Wen, H., Huang, R. *, 2022. Excessive Rainfall Is the Key Meteorological Limiting Factor for Winter Wheat Yield in the Middle and Lower Reaches of the Yangtze River. Agronomy, 12, 50. Huang Ran, et al. . Mapping of Daily Mean Air Temperature in Agricultural Regions Using Daytime and Nighttime Land Surface Temperatures Derived from TERRA and AQUA MODIS Data. Remote Sensing, 2015, 7, 8728-8756. Li, W., Huang, J., Yang, L., Chen, Y., Fang, Y., Jin, H., Sun, H., Huang, R.*, 2021. A practical remote sensing monitoring framework for late frost damage of wine grape using multi-source satellite data. Remote Sensing, 13(16), 3231 Dou, Y., Huang, R*, et al., 2020. Mapping high temperature damaged area of paddy rice along the Yangtze River using MODIS data. International Journal of Remote Sensing, 41(2), 471-486. 黄然, 等. 基于MODIS地表温度与气象数据的东北春玉米低温冷害监测. 遥感学报, 2024, 28(10): 2500-2512 Huang, R, et al., 2018. Drought Monitoring Over the Northeast China Using GRACE Satellite Data from 2002 to 2016. IEEE International Conference on Agro-geoinformatics, 2018 (EI) 著作
【会议特邀报告】 1、不同深度土壤日平均温度遥感估算方法研究，第三届全国热红外定量遥感学术研讨会，2018年8月7日至11日，青岛 2、Thermal Infrared Remote Sensing and its Applications，欧盟Erasmus+项目SUFOGIS (GIS and Remote Sensing for Sustainable Forestry and Ecology) 春季学校培训授课，2022年4月9日至4月12日 3、Thermal Infrared Remote Sensing and its Applications，欧盟Erasmus+项目SUFOGIS (GIS and Remote Sensing for Sustainable Forestry and Ecology) 冬季学校培训授课，2月15日至2月26日 |