Gender:Female
Date of Employment:2019-07-04
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Discipline:Physical geography and resource environment
孙嘉
Associate professor
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Degree:Doctoral Degree in Engineering
Education Level:Faculty of Higher Institutions
Alma Mater:武汉大学
Status:Employed
Professional Title:Associate professor
tshonorceng2017年国际摄影测量与遥感学会ISPRS地球空间周开幕式主持;攻读博士期间曾荣获武汉大学“学术创新一等奖”、全国大学生英语竞赛A组一等奖、光华奖学金、金通尹奖学金等奖项;2019年武汉大学优秀博士毕业生;担任RSE等十余个国际权威SCI期刊审稿人。
School/Department:地理与信息工程学院
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孙嘉,博士,中国地质大学(武汉)地理与信息工程学院副教授,硕士生导师,地理科学系副主任,“地大学者”青年优秀人才 2010-2014年,武汉大学测绘学院测绘工程专业;2014-2019年,武汉大学测绘遥感信息工程国家重点实验室保送直博,师从长江学者龚威教授,摄影测量与遥感专业;2019.7入职中国地质大学(武汉)地理与信息工程学院;2021.4-2022.6 瑞典隆德大学(Lund University) 地理系访问学者,师从生态学专家Anders Ahlstrom和Torbern Tagesson。 研究兴趣:植物功能性状遥感反演、森林对气候和人类活动响应、植被动态与物候遥感、高光谱激光雷达机理与应用。在遥感、生态领域中科院一区TOP期刊 RSE、ISPRS、AFM等期刊发表学术论文40余篇;获批国家发明专利4项;主持国家自然科学基金面上基金、国家自然科学基金青年基金、国家重点实验室开放基金等项目;参与国家重点研发计划等国家级科研项目4项;博士期间获武汉大学学术创新奖一等奖、光华奖学金、金通尹奖学金、武汉大学优秀毕业生等荣誉。作为主要编辑在国际SCI期刊Remote Sensing (IF 5.349, TOP) 发起专刊“Vegetation Biophysical Variables and Remote Sensing Applications”。担任遥感领域 SCI TOP期刊 RSE、ISPRS、TGRS、JAG及光学领域TOP期刊 OE等期刊审稿人。 欢迎具有遥感、地理、测绘、农林、计算机、数学等相关专业背景的同学报考研究生及合作交流! 代表性学术论文He C, Sun J*, Chen Y, Wang L, Shi S, Qiu F, Wang S, Yang J, Tagesson T. PROSPECT-GPR: Exploring spectral associations among vegetation traits in wavelength selection for leaf mass per area and water contents. Science of Remote Sensing. 2023 Dec 1;8:100100.(通讯作者,学生第一作者,IF: 7.8)Hao W, Sun J*, Zhang Z, Zhang K, Qiu F, Xu J. Novel hybrid model to estimate leaf carotenoids using multilayer perceptron and PROSPECT simulations. Remote Sensing. 2023 Oct 17;15(20):4997.(通讯作者,SCI,中科院二区,IF: 4.848)He C, Sun J*, Chen Y, et al. A new vegetation index combination for leaf carotenoid-to-chlorophyll ratio: minimizing the effect of their correlation[J]. International Journal of Digital Earth, 2023, 16(1): 272-288.(通讯作者,学生第一作者,SCI,中科院一区TOP期刊)Chen Y, Sun J*, Wang L, et al. Exploring the potential of transmittance vegetation indices for leaf functional traits retrieval[J]. GIScience & Remote Sensing, 2023, 60(1): 2168410.(通讯作者,学生第一作者,SCI,中科院一区TOP期刊)Sun J, Wang L, Shi S, et al. Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information[J]. The Crop Journal, 2022, 10(5): 1251-1263. (第一作者,SCI,中科院一区TOP期刊,IF: 4.407)Sun J, Shi S, Wang L, et al. Optimizing LUT-based inversion of leaf chlorophyll from hyperspectral lidar data: Role of cost functions and regulation strategies[J]. International Journal of Applied Earth Observation and Geoinformation, 2021, 105: 102602.(第一作者,SCI,中科院一区TOP期刊,IF: 5.933)Chen Y, Sun J*, Wang L, et al. Optimized estimation of leaf mass per area with a 3d matrix of vegetation indices[J]. Remote Sensing, 2021, 13(18): 3761. (通讯作者,学生第一作者,SCI,中科院二区,IF: 4.848)Mao F, Liang Z, Pan Z, Gong W, Sun J, Zhang T, Huang X, Zang L, Lu X, Hong J. (2021). A simple multiscale layer detection algorithm for CALIPSO measurements. Remote Sensing of Environment, 266, 112687.(SCI,中科院一区TOP期刊,IF: 10.164)Sun J, Shi S, Yang J, et al. Wavelength selection of the multispectral lidar system for estimating leaf chlorophyll and water contents through the PROSPECT model[J]. Agricultural and Forest Meteorology, 2019, 266: 43-52.(第一作者,SCI,中科院一区TOP期刊,IF: 4.651)Sun J, Shi S, Yang J, et al. Estimating leaf chlorophyll status using hyperspectral lidar measurements by PROSPECT model inversion[J]. Remote Sensing of Environment, 2018, 212: 1-7. (第一作者,SCI,中科院一区TOP期刊,IF: 10.164)Sun J, Shi S, Yang J, et al. Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2018, 135: 74-83. (第一作者,SCI,中科院一区TOP期刊,IF: 7.319)Sun J, Yang J, Shi S, et al. Estimating Rice Leaf Nitrogen Concentra...
- 2010.9 -- 2014.6武汉大学 , Surveying and Mapping Engineering , Bachelor's Degree , Editor
测绘学院 - 2010.9 -- 2014.6武汉大学 , English , 学士学位 , With Certificate of Graduation for Undergraduate Study
- 2014.9 -- 2019.6武汉大学 , 摄影测量与遥感 , Doctoral Degree in Engineering , Faculty of Higher Institutions
测绘遥感信息工程国家重点实验室
植被定量遥感,包括植被生化参数和生理参数的模型定量监测等
植被光学辐射传输模型模拟
新型遥感探测仪器研制与应用研究
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