王昆
性别:女
职称:副研究员
邮箱:wangk@aircas.ac.cn
地址:北京市海淀区邓庄南路9号
王昆,女,博士,中国科学院空天信息创新研究院副研究员。 2009年博士毕业于中国科学院地理科学与资源研究所。主要从事生态监测、生态模型及数据同化等方面的研究。现主持、参与农业重大科技攻关专项、国家自然科学基金面上项目、国家重点研发计划课题、中科院先导专项、浙江省科技攻关项目等10余项科研项目,在Agricultural and Forest Meteorology、Chemical Engineering Journal等国际权威期刊发表论文40余篇,作为第一/通讯作者的文章最高影响因子16.7,担任国际期刊Frontiers in Physics和Remote Sensing专刊主编。
工作经历:
2014-02至今,中国科院空天信息创新研究院,副研究员
2011-10至2014-02,中国科学院空天信息创新研究院,助理研究员
2009-07至2011-09,中国科学院地理科学与资源研究所,博士后
生态监测与模拟,数据同化
1) 国家重点研发项目课题:草原跨境入侵昆虫时空动态监测和前哨预警,430万元,2024-12至2027-11,负责人;
2) 农业科技重大攻关项目子课题:基于*******的融合解析算法研究,128万元,2023-12至2024-12,负责人;
3) 科技部国家重点研发计划项目子课题:麦玉产区典型病虫害测报与变量施药决策算法,75万元,2023-12至2028-11,负责人;
4) 中国科学院战略性先导科技专项“创建生态草牧业科技体系”子课题任务:“自然干扰因子对草畜平衡的干预分析” ,110万,2020.11–2025.10,负责人;
5) 国家自然科学基金面上基金:基于作物生长模型的小麦条锈病减产预测方法研究,52万,2023.01-2026.12,负责人;
6) 国家重点研发计划政府间国际科技创新合作重点项目课题:“智慧农场示范区生态价值和承载力评估” ,60万,2021.02-2023.01,负责人;
7) 中国科学院2021年度对外合作重点项目:多源卫星协同的作物病虫害遥感监,120万,2021.01-2023.12,项目骨干;
8) 中国科学院空天信息创新研究院2020年度前沿科学与颠覆性技术研究先导基金项目:基于AI遥感的全球迁飞性害虫监测预警,150万,2020.08-2022.08,项目骨干;
9) 广东省地方项目:基于多源数据和集合模型的精细化实时洪水预报调度技术研究,60.65万,2020.09-2022.11,项目骨干;
10) 中国水利水电科学研究院内蒙古阴山北麓草原生态水文国家野外科学观测研究站开放研究基金项目:我国北方生态脆弱区生态承载力时空动态研究:以阴山北麓为例,7万,2022.05-2023.12,项目骨干;
11) 国家重点研发计划“政府间国际科技创新合作重点专项”:应对石羊河流域干旱与荒漠化风险的自然基解决方案,138.75万,2019.01-2021.12,项目骨干;
12) 国家自然科学基金国际(地区)合作与交流项目:撒赫勒地区土地利用与覆盖变化的驱动机制及其影响,358.38万,2017.01-2021.12,项目骨干;
13) 国家自然科学基金重点项目:气溶胶及地表反照率在青藏高原陆气耦合模拟中的作用研究,347.18万,2018.01-2021.12,项目骨干;
14) 国家重大科学研究计划项目:高分辨率陆表能量水分交换过程的机理与尺度转换研究,280万,2015.01-2019.08,项目骨干(课题秘书)。
[1]. Guo, A., Huang, W., Qian, B., Wang, K.*, Liu, H., & Ren, K. (2024). Improved early detection of wheat stripe rust through integration pigments and pigment-related spectral indices quantified from UAV hyperspectral imagery. International Journal of Applied Earth Observation and Geoinformation, 135, 104281
[2]. Huang, T., Yang, T., Wang, K.*, & Huang, W. (2024). Assessing the Current and Future Potential Distribution of Solanum rostratum Dunal in China Using Multisource Remote Sensing Data and Principal Component Analysis. Remote Sensing, 16, 271
[3]. Guo, A., Huang, W., Wang, K. *, Qian, B., & Cheng, X. (2024). Early Monitoring of Maize Northern Leaf Blight Using Vegetation Indices and Plant Traits from Multiangle Hyperspectral Data. Agriculture, 14
[4]. Zhang, Y., Yu, H., Huang, W., Huang, T., Fan, M., & Wang, K. * (2024). Integrating Real-Time Meteorological Conditions into a Novel Fire Spread Model for Grasslands. Fire, 7
[5]. Wang, Y., Zhang, Y., Zhao, C., Dong, D., & Wang, K. * (2023a). CO and CH4 atmospheric trends from dense multi-point forest fires around the city of Chongqing using spaceborne spectrometer data. Atmospheric Pollution Research, 14, 101807
[6]. Wang, Y., Zhao, C., Dong, D., & Wang, K. * (2023b). Real-time monitoring of insects based on laser remote sensing. Ecological Indicators, 151, 110302
[7]. Liu, X., Li, X., Gao, L., Zhang, J., Qin, D., Wang, K., & Li, Z. (2023). Early-season and refined mapping of winter wheat based on phenology algorithms - a case of Shandong, China. Frontiers in Plant Science, 14
[8]. Chen, Q., Jia, L., Menenti, M., Hu, G., Wang, K., Yi, Z., Zhou, J., Peng, F., Ma, S., You, Q., Chen, X., & Xue, X. (2023). A data-driven high spatial resolution model of biomass accumulation and crop yield: Application to a fragmented desert-oasis agroecosystem. Ecological Modelling, 475, 110182
[9]. Jing, G., Lu, L., Dong, Y., Huang, W., Du, B., Ding, C., Ye, H., Wang, K., Yanru, H., Hao, Z., Zhao, M., & Wang, N. (2023). Spatiotemporal Distribution and Main Influencing Factors of Grasshopper Potential Habitats in Two Steppe Types of Inner Mongolia, China. Remote Sensing, 15, 866
[10]. Huang, T., Huang, W., Wang, K.*, Li, Y., Li, Z., & Yang, Y.a. (2022). Ecosystem Service Value Estimation of Paddy Field Ecosystems Based on Multi-Source Remote Sensing Data. Sustainability, 14, 9466
[11]. Tian, H., Jiao, L., Wang, K.1, Zhao, X., Cao, F., & Dong, D. (2022). Exploring smartphone-based environmental sensors through applying perovskite quantum dots. Chemical Engineering Journal, 448, 137583
[12]. Jiao, F., Wang, K. 1, Shuang, F., Dong, D., & Jiao, L. (2022). A Smartphone-Based Sensor With an Uncooled Infrared Thermal Camera for Accurate Temperature Measurement of Pig Groups. Frontiers in Physics, 10
[13]. Lu, L., Sun, Z., Qimuge, E., Ye, H., Huang, W., Nie, C., Wang, K., & Zhou, Y. (2022). Using Remote Sensing Data and Species–Environmental Matching Model to Predict the Potential Distribution of Grassland Rodents in the Northern China. Remote Sensing, 14, 2168
[14]. Xiao, Y., Dong, Y., Huang, W., Liu, L., Ma, H., Ye, H., & Wang, K. (2020). Dynamic Remote Sensing Prediction for Wheat Fusarium Head Blight by Combining Host and Habitat Conditions. Remote Sensing, 12, 3046
[15]. Jiang, D., & Wang, K. (2019). The Role of Satellite-Based Remote Sensing in Improving Simulated Streamflow: A Review. Water, 11, 1615
[16]. Chen, Q., Jia, L., Menenti, M., Hutjes, R., Hu, G., Zheng, C., & Wang, K. (2019). A numerical analysis of aggregation error in evapotranspiration estimates due to heterogeneity of soil moisture and leaf area index. Agricultural and Forest Meteorology, 269-270, 335-350
[17]. Jia, L., Hu, G., Zheng, C., Zhou, J., Wang, K., Li, Z., & Liu, Q. (2017). 1 km/daily Evapotranspiration Product over China and the Association of Southeast Asian Nations for 2013. Journal of Global Change Data & Discovery, 1, 282-289
[18]. Zheng, C., Jia, L., Hu, G., Menenti, M., Lu, J., Zhou, J., Wang, K., & Li, Z. (2017). Assessment of Water Use in Pan-Eurasian and African Continents by ETMonitor with Multi-Source Satellite Data. IOP Conference Series: Earth and Environmental Science, 57, 012050
[19]. Lu, J., Jia, L., Zheng, C., Zhou, J., Hoek, M.v., & Wang, K. (2016). Characteristics and trends of meteorological drought over China from remote sensing precipitation datasets. In, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 7581-7584)
[20]. Zheng, C., Jia, L., Hu, G., Lu, J., Wang, K., & Li, Z. (2016). Global evapotranspiration derived by ETMonitor model based on earth observations. In, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 222-225)
[21]. Li, Z., Jia, L., Hu, G., Lu, J., Zhang, J., Chen, Q., & Wang, K. (2015). Estimation of Growing Season Daily ET in the Middle Stream and Downstream Areas of the Heihe River Basin Using HJ-1 Data. IEEE Geoscience and Remote Sensing Letters, 12, 948-952
[22]. 杨倩, 朱小华, 欧阳光洲, 马灵玲, 刘伟, & 王昆 (2023). 基于CLM5.0的内蒙古呼伦贝尔草地生产力模拟参数优化. 农业工程学报, 39, 139-148
[23]. 黄文江, 董莹莹, 赵龙龙, 耿芸, 阮超, 张弼尧, 孙忠祥, 张寒苏, 叶回春, & 王昆 (2020). 蝗虫遥感监测预警研究现状与展望. 遥感学报, 24, 1270-1279
[24]. 姜德娟, 王昆, & 夏云 (2020). 渤海赤潮遥感监测方法比较研究. 海洋环境科学, 39, 460-467
[25]. 吴保见, 王昆*, 贾立, & 郭瑞萍 (2017). 源项对FLEXPART模式模拟福岛核事故放射性物质长距离传输的影响. 气候与环境研究, 22, 10-22
[26]. 贾立, 郑超磊, 胡光成, 周杰, 卢静, & 王昆 (2017). “一带一路”及其毗邻区域地表蒸散发数据集(2015). 全球变化数据仓储电子杂志(中英文)
[27]. 贾立, 胡光成, 郑超磊, 周杰, 王昆, 李占胜, & 柳钦火 (2015). 中国-东盟1km分辨率地表蒸散发数据集(2013). 全球变化数据学报, 1, 282-289