基本介绍
周望
博士 副教授 硕导
专业方向
(1)智慧农业与农业遥感,遥感应用于地表水资源、能量平衡估算和生态参数反演,水文遥感系统模型开发及应用
(2)农田生态系统模型与模型-数据融合,农田管理措施经济环境影响评估
(3)超级计算机应用、大数据, 人工智能与机器学习
课题组博士后招聘条件:
(1)具有生态学、地理学、遥感或农学等相关专业博士学位,对生态/农业遥感、植物生理或土壤生化过程等有较深入的理解;
(2)有较好的外语水平或相关论文发表经验,能用Python等编程语言进行科学数据处理;
(3)协助课题组进行项目申请、参与研究生培养及实验室日常管理等。
应聘者请将个人简历和代表性成果发送至zhouw85@mail.sysu.edu.cn。
人才项目
百人计划
教育经历
2014.09 – 2019.06,中国科学院,空天信息创新研究院 (原中国科学院遥感与数字地球研究所),博士
2018.03 – 2019.07,美国伊利诺伊大学香槟分校,自然资源与环境科学学院,访问学者
2009.09 – 2013.06,北京师范大学,地理学与遥感科学学院,学士
工作经历
2024.04 - 至今 中山大学,农业与生物技术学院,副教授
2022.09 - 2024.03 中山大学,农学院,副教授
2021.07 – 2022.08 美国伊利诺伊大学香槟分校,可持续、能源与环境研究所,研究科学家
2019.11 – 2019.12 加拿大阿尔伯塔大学,农业、生命及环境科学学院,访问学者
2019.07 – 2021.07 美国伊利诺伊大学香槟分校,自然资源与环境科学学院,博士后
科研成果
发表论文(*通讯作者,#共同第一作者)
Kimball1, B.* et. al. (including Zhou, W.). (2024). Simulation of soil temperature under maize: An inter-comparison among 33 maize models. Agricultural and Forest Meteorology, 351, 110003.
Liu, L.#, Zhou, W.#, Guan, K.*, Peng, B., Xu, S., Tang, J., Zhu, Q., Till, J., Jia, X., Jiang, C., Wang, S., Qin, Z., Kong, H., Grant, R., Mezbahuddin, S., Kumar, V., Jin, Z.* (2024). Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems. Nature Communications15, 357.
Yang, Q., Liu, L., Zhou, J., Ghosh, R., Peng, B., Guan, K., Tang, J., Zhou, W., Kumar, V., Jin, Z.* (2023). A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest. Remote Sensing of Environment, 299, 113880.
Ye, L.*, Guan, K.*, Qin, Z., Wang, S., Zhou, W., Peng, B., Grant, R., Tang, J., Hu, T., Jin, Z., Schaefer, D. (2023). Improved quantification of cover crop biomass and ecosystem services through remote sensing-based model-data fusion. Environmental Research Letters, 18, 094018.
Guan, K.*, Jin, Z.*, Peng, B.*, Tang, J.*, DeLucia, E., West, P., Jiang, C., Wang, S., Kim, T., Zhou, W., Griffis, T., Liu, L., Yang, W., Qin, Z., Yang, Q., Margenot, A., Stuchiner, E., Kumar, V., Bernacchi, C., Coppess, J., Novick, K., Gerber, J., Jahn, M., Khanna, M., Lee, D., Chen, Z., Yang, S. (2023). A scalable framework for quantifying field-level agricultural carbon outcomes. Earth-Science Reviews, 104462.
Kimball1, B.* et. al. (including Zhou, W.). (2023). Simulation of evapotranspiration and yield of maize: An Inter-comparison among 41 maize models. Agricultural and Forest Meteorology, 333, 109396.
Qin, Z.*, Guan, K.*, Zhou, W., Peng, B., Tang, J., Jin, Z., Grant, R., Hu, T., Villamil, M., DeLucia, E., Margenot, A., Umakant, M., Chen, Z., Coppess, J. (2023). Assessing long-term impacts of cover crops on soil organic carbon in the central U.S. Midwestern agroecosystems. Global Change Biology, 29, 2572–2590.
Zhang, J.*, Guan, K.*, Zhou, W., Jiang, C., Peng, B., Pan, M., Grant, R., Franz, T., Suyker, A., Yang, Y., Chen, X., Lin, K., Ma, Z. (2023). Combining remotely sensed evapotranspiration and an agroecosystem model to estimate center-pivot irrigation water use at high spatio-temporal resolution. Water Resources Research, 59, e2022WR032967.
Ma, Z., Guan, K.*, Peng, B.*, Sivapalan, M., Li, L., Pan, M., Zhou, W., Warner, R., Zhang, J. (2023). Agricultural nitrate export patterns shaped by crop rotation and tile drainage. Water Research, 229, 119468.
Wang, S.*, Guan, K.*, Zhang, C., Zhou, Q., Wang, S., Wu, X., Jiang, C., Peng, B., Mei, W., Li, K., Li, Z., Yang, Y., Zhou, W., Huang, Y., Ma, Z. (2023). Cross-scale sensing of field-level crop residue cover: integrating field photos, airborne hyperspectral imaging, and satellite data. Remote Sensing of Environment, 285, 113366.
Zhou, W., Guan, K.*, Peng, B., Margenot, A., Lee, D., Tang, J., Jin, Z., Grant, R., DeLucia, E., Qin, Z., Wander, M., Wang, S. (2023). How does uncertainty of soil organic carbon stock affect the calculation of carbon budgets and soil carbon credits for croplands in the U.S. Midwest?Geoderma, 429, 116254.
Yang, Y., Liu, L., Zhou, W., Guan, K., Tang, J., Kim, T., Grant, R., Peng, B., Zhu, P., Ziyi Li, Griffis, T, Jin, Z.* (2022). Distinct driving mechanisms of non-growing season N2O emissions call for spatial-specific mitigation strategies in the US Midwest. Agricultural and Forest Meteorology, 324, 109108.
Li, Z.*, Guan, K.*, Zhou, W., Peng, B., Jin, Z., Tang, J., Grant, R., Nafziger, E., Margenot, A., Gentry, L., DeLucia, E., Yang, W., Cai, Y., Qin, Z., Archontoulis, S., Fernández, F., Yu, Z., Lee, D., Yang, Y. (2022). Assessing the impacts of pre-growing-season weather conditions on soil nitrogen dynamics and corn productivity in the U.S. Midwest. Field Crops Research, 284, 108563.
Liu, L., Xu, S., Jin, Z.*, Tang, J., Guan, K., Griffis, T., Erickson, M., Frie, A., Jia, X., Kim, T., Miller, L., Peng, B., Wu, S., Yang, Y., Zhou, W., Kumar, V. (2022). KGML-ag: a modeling framework of knowledge-guided machine learning to simulate agroecosystems: a case study of estimating N2O emission using data from mesocosm experiments. Geoscientific Model Development, 15, 2839–2858.
Wang, S.*, Guan, K.*, Zhang, C., Lee, D., Margenot, A., Ge, Y., Peng, J., Zhou. W., Zhou, Q., Huang, Y. (2022). Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing. Remote Sensing of Environment, 271, 112914.
Zhang, J.*, Guan, K.*, Peng, B., Pan, M., Zhou, W., Grant, R., Franz, T., Rudnick, D., Heeren, D., Suyker, A., Yang, Y., Wu, G. (2021). Assessing different plant-centric water stress metrics for irrigation efficacy using soil-plant-atmosphere-continuum simulation. Water Resources Research, 57, e2021WR030211.
Zhou. W.*, Guan, K.*, Peng, B.*, Wang, Z., Fu, R., Li, B., Ainsworth, E., DeLucia, E., Zhao, L., Chen, Z. (2021). A generic risk assessment framework to evaluate historical and future climate-induced risk for rainfed corn and soybean yield in the U.S. Midwest. Weather and Climate Extremes, 33, 100369.
Qin, Z.*, Guan, K.*, Zhou. W., Peng, B., Villamil, M., Jin, Z., Tang, J., Grant, R., Gentry, L., Margenot, A., Bollero, G., Li, Z. (2021). Assessing the impacts of cover crops on maize and soybean yield in the U.S. Midwestern agroecosystems. Field Crops Research, 273, 108264.
Zhang, J.*, Guan, K.*, Peng, B.*, Pan, M., Zhou, W., Jiang, C., Kimm, H., Franz, T., Grant, R., Yang, Y., Rudnick, D., Heeren, D., Suyker, A., Bauerle, W., Miner, G. (2021). Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand. Nature Communications, 12, 5549.
Zhou. W.*, Guan, K.*, Peng, B.*, Tang, J., Jin, Z., Jiang, C., Grant, R., Mezbahuddin, S. (2021). Quantifying carbon fluxes, crop yields, and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems. Agricultural and Forest Meteorology, 307, 108521.
Kim, T., Jin, Z.*, Smith, T., Liu, L., Yang, Y., Yang, Y., Peng, B., Phillips, K., Guan, K., Hunter, L., Zhou, W. (2021). Quantifying nitrogen loss hotspots and mitigation potential for individual fields in the US Corn Belt with a metamodeling approach. Environmental Research Letters, 16, 075008.
Zhang, J.*, Guan, K.*, Peng, B., Jiang, C., Zhou, W., Yang, Y., Pan, M., Franz, T., Heeren, D., Rudnick, D., Abimbola, O., Kimm, H., Caylor, K., Good, S., Khanna, M., Gates, J., Cai, Y. (2021). Challenges and opportunities in precision irrigation decision-support systems for center pivots. Environmental Research Letters, 16, 053003.
Zhou, W.*, Guan, K.*, Peng, B., Shi, J., Jiang, C., Wardlow, B., Pan, M., Kimball, J.S., Franz, T.E., Gentine, P., He, M., Zhang, J. (2020). Connections between the hydrological cycle and crop yield in the rainfed U.S. Corn Belt. Journal of Hydrology, 590, 125398.
Peng, B.*, Guan, K.* et. al. (including Zhou, W.) (2020). Towards a multiscale crop modelling framework for climate change adaptation assessment. Nature Plants, 6, 338–348.
Peng, B.*, Guan, K.*, Zhou, W., Jiang, C., Frankenberg, C., Sun, Y., He, L., Koehler, P. (2020). Assessing the benefit of satellite-based Solar-Induced Chlorophyll Fluorescence in crop yield prediction. International Journal of Applied Earth Observation and Geoinformation, 90, 102126.
Zhou, W., Shi, J., Wang, T.*, Peng, B., Yu, Y., Zhao, R. (2019). New Methods for Deriving Clear‐Sky Surface Longwave Downward Radiation Based on Remotely Sensed Data and Ground Measurements. Earth and Space Science, 6, 2071-2086.
Zhou, W., Shi, J.*, Wang, T.*, Peng, B., Zhao, R., Yu, Y. (2018). Clear-sky Longwave Downward Radiation Estimation by Integrating MODIS Data and Ground-based Measurements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(2), 450–459.
Yu, Y., Shi, J.*, Wang, T.*, Letu, H., Yuan, P., Zhou, W., Hu, L. (2018). Evaluation of the Himawari-8 Shortwave Downward Radiation (SWDR) Product and its Comparison With the CERES-SYN, MERRA-2, and ERA-Interim Datasets. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(2), 519–532.
Wang, T.*, Shi, J.*, Yu, Y., Husi, L., Gao, B., Zhou, W., Ji, D., Zhao, T., Xiong, C., Chen, L. (2018). Remote Sensing of Environment Cloudy-sky land surface longwave downward radiation (LWDR) estimation by integrating MODIS and AIRS/AMSU measurements. Remote Sensing of Environment, 205, 100–111.
Zhou, W., Peng, B.*, Shi, J.* (2017). Reconstructing spatial-temporal continuous MODIS land surface temperature using the DINEOF method. Journal of Applied Remote Sensing, 11(4), 046016.
Zhou, W., Peng, B.*, Shi, J.*, Wang, T., Dhital, Y.P., Yao, R., Yu, Y., Lei, Z., Zhao, R. (2017). Estimating high resolution daily air temperature based on remote sensing products and climate reanalysis datasets over glacierized basins: a case study in the Langtang Valley, Nepal. Remote Sensing, 9, 959.
科研项目
国家自然科学基金青年项目,2025-2027,主持
广东省区域联合基金-青年基金项目,2024-2026,主持
中山大学“百人计划”科研启动项目,2022-2025,主持
社会兼职
担任Remote Sensing专刊客座编辑
担任Remote Sensing of Environment, Transactions on Geoscience and Remote Sensing, Earth’s Future, Journal of Advances in Modeling Earth Systems, Scientific Data, Journal of Hydrology, Environmental Pollution, Earth System Science Data, Science of the Total Environment, Environmental Research, Frontiers of Earth Science等期刊审稿人。