姓名:孟冉
政治面貌:中共党员
办公地点:西副楼311
研究方向:智慧农业、生态环境遥感
微信号:248850195
电子邮件:mengran@mail.hzau.edu.cn
个人网站:https://www.researchgate.net/profile/Ran-Meng-12
个人简介
在美国学习工作多年,2018年8月以高层次人才引入太阳成集团tyc138任教,担任教授、博士生导师,获批省部级青年人才项目。研究方向为智慧农业和生态环境遥感,长期专注于植被与生态环境定量遥感,利用多尺度、多源遥感技术和地学建模方法,精准动态反演农作物长势和恢复生态学关键地表参数,研究植被与生态环境多要素的交互作用,模拟与预测作物产量与森林干扰及恢复过程,服务于智慧农业、森林健康和生态环境评价等领域。
迄今为止,在国际主流学术期刊发表SCI论文28篇(中科院1区TOP15篇,中科院2区TOP7篇),其中第一或通讯作者论文(含共同)15篇,包括国际遥感类顶级学术期刊Remote Sensing Environment 7篇(5篇独立一作兼通讯作者,1篇独立通讯作者,1篇合作者),累计影响因子超过180;论文总被引685次(ResearchGate网站截止2022年3月28日)。受邀担任Remote Sensing Environment编委、《遥感技术与应用》杂志青年编委及Remote Sensing客座编辑;当选2016年度Remote Sensing Environment最佳审稿人;在国内外重要学术会议做口头报告超过20次,包括美国地球协会(AGU)、美国地理协会(AAG)与世界火生态协会(AFE)年会及全国定量遥感学术论坛、全国成像光谱对地观测学术研讨会等。
教育背景
2003年09月——2007年08月:山东农业大学太阳成集团tyc138,理学学士
2007年09月——2010年07月:中国科学院地理科学与资源研究所,理学硕士
2010年08月——2015年05月:美国犹他大学(University of Utah)地理学系,博士
工作经历
2021年01月——至今:太阳成集团tyc138宏观研究院,PI
2020年04月——至今:太阳成集团tyc138交叉科学研究院,PI
2018年08月——至今:太阳成集团tyc138,教授、博士生导师
2015年06月——2018年08月:美国布鲁克海文国家实验室(Brookhaven National Laboratory)环境与大气系,博士后
学术兼职
Remote Sensing of Environment杂志编委、《遥感技术与应用》杂志青年编委、Remote Sensing 杂志客座编辑;
2014年至今为Remote Sensing of Environment、ISPRS Journal of Photogrammetry and Remote Sensing、Method in Ecology and Evolution、Agricultural and Forest Meteorology、Ecology、Ecological Application、International Journal of Remote Sensing、Forest Ecology and Management等20+国际主流期刊评审超过70次;
受邀担任中国教育部、中国科技部、美国自然科学基金委、美国能源部、比利时科学政策办公室、波兰国家科学中心等科研和人才项目评审专家。
教学情况
本科生课程
地理信息科学专业新生研讨课(主讲)
农业大数据处理与应用(主讲)
数字图像处理(兼职主讲)
学术道德(拼盘合上)
智能农业数据分析综合实践(拼盘合上)
农业大数据分析(拼盘合上)
研究生课程
资源与环境信息工程(主讲)
现代植物营养研究技术(拼盘合上)
地理信息科学前沿进展(拼盘合上)
发表学术论文情况(*为通讯作者,$为同等贡献; 最新论文发表情况请查阅个人Research Gate网站https://www.researchgate.net/profile/Ran-Meng-12)
2018年后
[J28] Wang, M., Zheng, Y., Huang, C., Meng, R., Pang, Y., Wen, J., Zhou, J., Huang, Z., Fang, L., & Zhao, F. *, Assessing Landsat-8 and Sentinel-2 spectral-temporal features for mapping tree species of northern plantation forests in Heilongjiang Province, China, Forest Ecosystems, In Press. (中科院一区TOP, IF = 3.645)
[J27] Zhou L, Meng R, Tan Y, Lv Z, Zhao Y, Xu B, Zhao F. Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment. Urban Forestry Urban Greening, 69: 127489(2022). (中科院一区TOP, IF = 4.537)
[J26] Xu, L., Zhou, L.F., Meng, R. *, Zhao, F., Lv, Z., Xu, B., Zeng, L., Yu, X., & Peng, S. An Improved Approach to Estimate Ratoon Rice Aboveground Biomass by Integrating UAV-based Spectral, Textural and Structural Features. Precision Agriculture, (2022). (中科院一区TOP, IF = 5.385)
[J25] Zhao, F., Sun, R., Zhong, L., Meng, R. *, Huang, C., Zeng, X., Wang, M., Li, Y., & Wang, Z. Monthly Mapping of Forest Harvesting using Dense Time Series Sentinel-1 SAR Imagery and Deep Learning. Remote Sensing of Environment, 269, 112822(2022). (中科院一区TOP, IF = 10.164)
[J24] Meng, R. *, Gao, R., Zhao, F., Huang, C., Sun, R., Lv, Z., & Huang, Z. Landsat-based Monitoring of Southern Pine Beetle Infestation Severity and Severity Change in a Temperate Mixed Forest. Remote Sensing of Environment, 269, 112847(2022). (中科院一区TOP, IF = 10.164)
[J23]. Zeng, L.L., Peng, G.Z., Meng, R. *, Man, J.G., Li, W.B., Xu, B.Y., Lv, Z.G., & Sun, R. Wheat Yield Prediction Based on Unmanned Aerial Vehicles-Collected Red-Green-Blue Imagery. Remote Sensing, 13, 2937(2021). (中科院二区TOP, IF = 4.848)
[J22]. Lv, Z., Meng, R. *, Man, J. *, Zeng, L., Wang, M., Xu, B., Gao, R., Sun, R., & Zhao, F. Modeling of winter wheat fAPAR by integrating Unmanned Aircraft Vehicle-based optical, structural and thermal measurement. International Journal of Applied Earth Observation and Geoinformation, 102, 102407(2021). (中科院一区, IF = 5.933)
[J21]. Zeng, L.L., Wardlow, B.D., Hu, S., Zhang, X., Zhou, G.Q., Peng, G.Z., Xiang, D.X., Wang, R., Meng, R., & Wu, W.X. A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products. Remote Sensing, 13, 1397(2021). (中科院二区TOP, IF = 4.848)
[J20]. Zeng, L.L., Hu, Y.C., Wang, R., Zhang, X., Peng, G.Z., Huang, Z.Y., Zhou, G.Q., Xiang, D.X., Meng, R., Wu, W.X., & Hu, S. 8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global Scale. Remote Sensing, 13, 2355(2021). (中科院二区TOP, IF = 4.848)
[J19].Xu, Y., Yu, L. *, Peng, D., Zhao, J., Cheng, Y., Liu, X., Li, W., Meng, R., Xu, X. and Gong, P., Annual 30-m land use/land cover maps of China for 1980–2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm. Science China Earth Sciences, 63, pp.1390-1407 (2020)
[J18]. Meng, R. *, Lv, Z. $, Yan, J., Chen, G., Zhao, F., Zeng, L., & Xu, B. Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification. Remote Sensing, 12, 3233(2020). (中科院二区TOP, IF = 4.848)
[J17]. Yang, D. *, Meng, R. , Morrison, B. D., McMahon, A., Hantson, W., Hayes, D. J., ... & Serbin, S. P. A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra. Remote Sensing, 12(16), 2638(2020). (中科院二区TOP, IF = 4.848)
[J16]. Guo, L. *, Fu, P., Shi, T., Chen, Y., Zhang, H., Meng, R. and Wang, S., Mapping field-scale soil organic carbon with unmanned aircraft system-acquired time series multispectral images. Soil and Tillage Research, 196, p.104477 (2020). (中科院一区TOP, IF = 5.374)
[J15]. Serbin, S. *, Wu, J., Ely, K., Kruger, E., Meng, R. et al., From the Arctic to the tropics: multi‐biome prediction of leaf mass per area using leaf reflectance, New Phytologist, DOI:10.1111/nph.16123(2019). (中科院一区TOP, IF = 10.151)
2018年及以前
[J14]. Veraverbeke, S. *, Dennison, P., Gitas, L., Hulley, G., Kalashnikova, O., Katagis, T., Kuai, L., Meng, R., Roberts, D., and Stavros, N., Hyperspectral remote sensing of fire: state-of-the-art and future perspectives, Remote Sensing of Environment, 216, 105-121 (2018). (中科院一区TOP, IF = 10.164)
[J13]. Meng, R. *, Dennison, P., Zhao, F., Shendryk, L., Cook, B., Havanan, R., and Serbin, S.P., Mapping canopy defoliation by insect herbivory at the individual tree level using bi-temporal airborne imaging spectroscopy and LiDAR measurements, Remote Sensing of Environment, 215,170-183(2018). (中科院一区TOP, IF = 10.164)
[J12]. Meng, R. *, Wu, J., Zhao, F., Cook, B., Havanan, R., and Serbin, S.P., Measuring post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using airborne imaging spectroscopy and LiDAR, Remote Sensing of Environment, 210,282-296(2018). (中科院一区TOP, IF = 10.164)
[J11]. Wu, J. *, Kobayashi, H., Starks, S.C., Meng, R., Guan, K., et al., Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist, 217,1507-1520 (2018). (中科院一区TOP, IF = 10.151)
[J10]. Meng, R. *, Wu, J., Schwager, K., Zhao, F., Dennison, P.E., Cook, B., Brewer, K., Green, T.M., and Serbin, S.P., Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem. Remote Sensing of Environment, 191, 95-109 (2017). (中科院一区TOP, IF = 10.164)
[J9]. Ning, J. *, Gao, Z., Meng, R., Xu, F., and Gao, M., Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta. Frontiers of Earth Science, 2, 444-456, (2018).
[J8]. Wu, J. *, Serbin, S.P., Xu, X., Chen, M., Meng, R., Saleska, S.R., and Rogers, A., The phenology of leaf quality and its within-canopy variation is essential for accurate modeling of photosynthesis in tropical evergreen forests. Global Change Biology, 23:4814-4827 (2017). (中科院一区TOP, IF = 10.863)
[J7]. Zhang, L*., Wei, Y. D., and Meng, R., Spatiotemporal dynamics and spatial determinants of urban growth in Suzhou, China, Sustainability, 9, 193 (2017).
[J6]. Zhao, R. F. *, Meng, R., Huang, C., Zhao, A. F., Gong, P., Yu, L., Zhu, Z., Long-term post-disturbance forest recovery in the Greater Yellowstone Ecosystem analyzed using Landsat time series stack, Remote Sensing, 8(11), 898 (2016). (中科院二区TOP,IF = 4.848)
[J5]. Meng, R. *, Dennison, P., Huang, C., Moritz, M., D’ Antonio, C., Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California, Remote Sensing of Environment, 171, 311-325 (2015). (中科院一区TOP, IF = 10.164)
[J4]. Meng, R. , Zhao, F., Sun, K., Zhang, R., Huang, C., Yang, J.*, Analysis of the 2014 “APEC Blue” in Beijing using more than one decade of satellite observations: lessons learned from radical emission control measures, Remote Sensing, 7, 15224-15243 (2015). (中科院二区TOP,IF = 4.848)
[J3]. Meng, R. *, Dennison, P., Spectroscopic analysis of green, desiccated and dead tamarisk canopies, Photogrammetric Engineering & Remote Sensing, 81(3), 199-207 (2015).
[J2]. Meng, R. *, Dennison, P., D’ Antonio, C., Moritz, M., Remote sensing analysis of vegetation recovery following short-interval fires in southern California shrublands, PLoS ONE, 9(10): e110637 (2014).
[J1]. Meng, R. *, Dennison, P., Jamison., L, van Riper, C., Nager, P., Hultine, K., Bean, D., Dudley, T., Detection of tamarisk defoliation by the northern tamarisk beetle based on multi-temporal Landsat 5 Thematic Mapper imagery, GIScience & Remote Sensing, 49, 510-37 (2012). (中科院一区, IF = 6.238)
研究生培养情况
实验室在读博士后1名,学术型博士4名,学术型硕士5名,专业硕士3名。
常年招聘博士后、博士研究生、学术型硕士研究生、专业硕士研究生;欢迎感兴趣的同学直接发送个人简历至邮箱mengran@mail.hzau.edu.cn进行联系,加入我们团队,共同奋斗,学习成长!