地理与海洋科学学院

章钊颖

地理信息科学系

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6· 章钊颖，女，博士, 2020年6月获南京大学地理学专业博士学位，同年9月留校工作，2023年聘为南京大学地理与海洋科学学院/国际地球系统科学研究所助理教授（Tenure-Track）、特聘研究员、博士生导师。主要研究方向为全球变化与碳中和、植被遥感、叶绿素荧光遥感。主要学术贡献包括：①发展了基于辐射传输模型的叶片总激发荧光遥感理论与方法；②构建了植被光合作用多时间尺度荧光遥感普适性模型；③揭示了全球植被光合作用时空格局的新特征。论文总被引用2000余次。主持江苏省杰出青年基金项目、国家自然科学基金面上项目和青年项目、国家重点研发计划青年科学家项目专题、中国博士后站中特别资助和面上项目等。获南京大学“毓秀青年学者计划”人才项目资助，全国高校GIS新锐奖、江苏省青年遥感与地理信息科技奖、《遥感学报》优秀论文、南京大学优秀博士论文、优秀毕业生等奖励。

诚挚欢迎在遥感科学、生态学、气候变化等相关领域拥有扎实背景的本科生和研究生与我们联系（zhaoying_zhang@nju.edu.cn）。优先考虑遥感理论基础扎实、计算机编程技术熟练，中英文写作能力出色的同学。目前团队聚焦于以下三个研究方向：

Ø叶绿素荧光遥感：通过监测植物在光合作用过程中发射的荧光信号，解析其光合活性及生理状态。结合卫星、无人机、塔基观测等技术手段，以高时空分辨率监测植被健康状况和生长动态。全球气候变化背景下，叶绿素荧光遥感为揭示生态系统碳水循环机制提供了关键科学洞见，推动了生态监测与环境管理的精细化和智能化进程。
Ø植被遥感：植被遥感利用卫星或航空遥感技术对地表植被的分布、动态及生理状态进行监测与分析。通过光谱分析、成像技术等手段，评估植被覆盖、健康状况以及固碳潜力的时空演变特征。植被遥感在生态监测、环境保护与自然资源管理中发挥着关键作用，为应对气候变化和土地利用变化提供科学支撑。
Ø全球变化与碳中和：聚焦于气候变化、土地利用变迁等全球环境变化对生态系统结构与功能的影响。通过多尺度的观测实验、模型和遥感技术，揭示生态系统面对环境变化时的响应与适应机制。此外，研究强调实现碳中和的重要性，增强陆地生态系统碳汇功能，为应对气候变化提供解决方案，助力可持续发展。

Zhaoying Zhang, Ph.D.
I completed my Ph.D. in Geography at Nanjing University in June 2020 and joined the university as a faculty member in September of the same year. In 2023, I was appointed as a Tenure-Track Assistant Professor, Distinguished Research Fellow, and Ph.D. Supervisor at the School of Geography and Ocean Science/International Institute for Earth System Science, Nanjing University. My primary research focuses include global change and carbon neutrality, vegetation remote sensing, and chlorophyll fluorescence remote sensing.
Key Academic Contributions:
   - I developed the  theoretical framework and methodology for total solar induced chlorophyll fluorescence  emmisions remote sensing at the leaf level based on radiative transfer models.
   - I established a universal  multi-temporal fluorescence remote sensing model for vegetation photosynthesis.
       - I discovered novel spatiotemporal patterns of global vegetation photosynthesis.
As the first or corresponding author, I have published 26 peer-reviewed papers, including 17 in Q1 journals recognized by the Chinese Academy of Sciences. Among these, one was published in Science Advances, a prominent journal under the Science family, and seven were published in Remote Sensing of Environment, the leading journal in the field of remote sensing. My work has been cited over 1,900 times. I serve as a Youth Editorial Board Member for Remote Sensing Technology and Application and a Guest Editor for Remote Sensing. I also review manuscripts for over 10 internationally recognized journals, including PNAS, Science Advances, Remote Sensing of Environment, and Global Change Biology.
Research Funding and Awards:
I have led several competitive research projects, including:
   - Jiangsu Distinguished  Young Scholar Fund,
   - General and Young  Scientists’ Projects from the National Natural Science Foundation of China,
   - Youth Scientist Program  under the National Key Research and Development Program,
   - Special and General  Grants from the China Postdoctoral Science Foundation.
I have received several honors, including the Nanjing University Yu Xiu Young Scholars Program Talent Award, the National University GIS Rising Star Award, the Jiangsu Youth Award in Remote Sensing and Geographic Information Science, the Journal of Remote Sensing Outstanding Paper Award, Nanjing University Outstanding Ph.D. Dissertation Award, and Excellent Graduate Award.

I warmly welcome undergraduate and graduate students with strong backgrounds in remote sensing science, ecology, and climate change to join my research group (zhaoying_zhang@nju.edu.cn). Preference will be given to candidates with a solid foundation in remote sensing theory, strong programming skills, and excellent writing abilities in both Chinese and English. I am also recruiting postdoctoral researchers on an ongoing basis. My research team is currently focused on the following three areas:

Chlorophyll Fluorescence Remote Sensing:
This research monitors the fluorescence emitted by plants during photosynthesis to analyze their photosynthetic activity and physiological status. By integrating satellite, drone, and tower-based observations, we aim to monitor vegetation health and growth dynamics with high spatial and temporal resolution. In the context of global climate change, chlorophyll fluorescence remote sensing provides critical insights into the carbon and water cycles of ecosystems, driving advancements in precision ecological monitoring and intelligent environmental management.
Vegetation Remote Sensing:
Vegetation remote sensing leverages satellite and aerial technologies to monitor and analyze the distribution, dynamics, and physiological state of terrestrial vegetation. Using spectral analysis and imaging techniques, we evaluate the spatiotemporal evolution of vegetation cover, health, and carbon sequestration potential. Vegetation remote sensing plays a crucial role in ecological monitoring, environmental conservation, and natural resource management, providing scientific support to address climate change and land-use transitions.
Global Change and Carbon Neutrality:
This research focuses on the impacts of global environmental changes, such as climate change and land-use transitions, on ecosystem structure and function. By combining multi-scale observational experiments, modeling, and remote sensing technologies, we aim to reveal the response and adaptation mechanisms of ecosystems to environmental changes. The work emphasizes the importance of achieving carbon neutrality by enhancing terrestrial ecosystem carbon sinks, providing solutions for climate change mitigation, and supporting sustainable development.
Google_Scholar
Researchgate

专著：
Zhang, Y., & Zhang, Z. (2025). Solar induced chlorophyll fluorescence: Origins and applications, relation to photosynthesis and retrieval. In Comprehensive Remote Sensing (pp. 1–33). Elsevier. https://doi.org/10.1016/B978-0-443-13220-9.00055-X.

第一/通讯作者论文（* 表示通讯作者）：
张永光,吴霖升, 章钊颖* (2025). 卫星日光诱导叶绿素荧光遥感十年研究进展.遥感学报(录用)
Wu Y., Zhang Z.*, Wu L., Zhang Y. (2024). Solar-induced chlorophyll fluorescence and its relationship with photosynthesis during waterlogging in a maize field. Agricultural and Forest Meteorology, 363, 110404
Liu, Y., Peñuelas, J., Cescatti, A., Zhang, Y., & Zhang, Z*. (2024). Atmospheric Dryness Dominates Afternoon Depression of Global Terrestrial Photosynthesis. Geophysical Research Letters, 51, e2024GL110954.
Tao, S., Chen, J.M.*, Zhang, Z.*, Zhang, Y., Ju, W., Zhu, T., Wu, L., Wu, Y., & Kang, X. (2024). A high-resolution satellite-based solar-induced chlorophyll fluorescence dataset for China from 2000 to 2022. Scientific Data, 11, 1286.
Zhang, Z.*,& Zhang, Y. (2024). Mitigating the directional retrieval error of solar-induced chlorophyll fluorescence in the red band. Remote Sensing of Environment, 316, 114496.
Wu, Y., Zhang, Z.*, Wu, L., & Zhang, Y. (2024). Solar-induced chlorophyll fluorescence tracks canopy photosynthesis under dry conditions in a semi-arid grassland. Agricultural and Forest Meteorology, 356, 110174.
Zhang, Z., Cescatti, A., Wang, Y.-P., Gentine, P., Xiao, J., Guanter, L., Huete, A.R., Wu, J., Chen, J.M., Ju, W., Peñuelas, J., & Zhang, Y. (2023). Large diurnal compensatory effects mitigate the response of Amazonian forests to atmospheric warming and drying. Science Advances, 9, eabq4974.
Zhang, Z.*, & Zhang, Y. (2023). Solar angle matters: Diurnal pattern of solar-induced chlorophyll fluorescence from OCO-3 and TROPOMI. Remote Sensing of Environment, 285, 113380.
Zhang, Z.*, Zhang, Y., & Zhang, Y. (2023). Generating high-resolution total canopy SIF emission from TROPOMI data: Algorithm and application. Remote Sensing of Environment, 295, 113699.
Zhang, Z.*, Chen, J.M., Zhang, Y., & Li, M. (2023). Improving the ability of solar-induced chlorophyll fluorescence to track gross primary production through differentiating sunlit and shaded leaves. Agricultural and Forest Meteorology, 341, 109658.
Zhang, Z., Guanter, L., Porcar-Castell, A., Rossini, M., Pacheco-Labrador, J., & Zhang, Y. (2023). Global modeling diurnal gross primary production from OCO-3 solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 285, 113383.
Zhang, Z., Zhang, X., Porcar-Castell, A., Chen, J.M., Ju, W., Wu, L., Wu, Y., & Zhang, Y. (2022). Sun-induced chlorophyll fluorescence is more strongly related to photosynthesis with hemispherical than nadir measurements: Evidence from field observations and model simulations. Remote Sensing of Environment, 279, 113118.
Wu, L., Zhang, X., Rossini, M., Wu, Y., Zhang, Z.*, & Zhang, Y. (2022). Physiological dynamics dominate the response of canopy far-red solar-induced fluorescence to herbicide treatment. Agricultural and Forest Meteorology, 323, 109063.
Wu, Y., Zhang, Z.*, Zhang, X., Wu, L., & Zhang, Y. (2022). How do sky conditions affect the relationships between ground-based solar-induced chlorophyll fluorescence and gross primary productivity across different plant types? Journal of Geophysical Research: Biogeosciences, 127, e2022JG006865.
Zhang, X., Zhang, Z. *, Zhang, Y. *, Zhang, Q., Liu, X., Chen, J., Wu, Y., & Wu, L. (2022). Influences of fractional vegetation cover on the spatial variability of canopy SIF from unmanned aerial vehicle observations. International Journal of Applied Earth Observation and Geoinformation, 107, 102712.
Zhang, Z., Zhang, Y., Chen, J.M., Ju, W., Migliavacca, M., & El-Madany, T.S. (2021). Sensitivity of estimated total canopy SIF emission to remotely sensed LAI and BRDF products. Journal of Remote Sensing, 9795837.
Liu, Y., Zhou, R., Wen, Z., Khalifa, M., Zheng, C., Ren, H., Zhang, Z.*, & Wang, Z. (2021). Assessing the impacts of drought on net primary productivity of global land biomes in different climate zones. Ecological Indicators, 130, 108146.
Liu, Y., Ren, H., Zheng, C., Zhou, R., Hu, T., Yang, P., Zhang, W., Wang, Z., Li, Y., Zhang, Z.*, & Wen, Z*. (2021). Untangling the effects of management measures, climate and land use cover change on grassland dynamics in the Qinghai–Tibet Plateau, China. Land Degradation & Development, 32, 4974-4987.
Liu, Y., Zhou, R., Ren, H., Zhang, W., Zhang, Z., Zhang, Z.* (2021). Evaluating the dynamics of grassland net primary productivity in response to climate change in China. Global Ecology and Conservation, 28, e01574.
Zhang, Z., Zhang, Y., Porcar-Castell, A., Joiner, J., Guanter, L., Yang, X., Migliavacca, M., Ju, W., Sun, Z., Chen, S., Martini, D., Zhang, Q., Li, Z., Cleverly, J., Wang, H., & Goulas, Y. (2020). Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 240, 111722.
Zhang, Z., Zhang, Y., Zhang, Y., Gobron, N., Frankenberg, C., Wang, S., & Li, Z. (2020). The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 240, 111686.
Zhang, Z., Zhang, Y., Zhang, Q., Chen, J.M., Porcar-Castell, A., Guanter, L., Wu, Y., Zhang, X., Wang, H., Ding, D., & Li, Z. (2020). Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies. Agricultural and Forest Meteorology, 295, 108147.
Zhang, Z., Zhang, Y., Zhang, Y., & Chen, J.M. (2020). Correcting clear-sky bias in gross primary production modeling from satellite solar-induced chlorophyll fluorescence data. Journal of Geophysical Research: Biogeosciences, 125, e2020JG005822.
Zhang, Z., Chen, J.M., Guanter, L., He, L., & Zhang, Y. (2019). From canopy-leaving to total canopy far-red fluorescence emission for remote sensing of photosynthesis: first results from TROPOMI. Geophysical Research Letters, 46, 12030-12040.
Liu, Y.#, Zhang, Z. #, Tong, L., Khalifa, M., Wang, Q., Gang, C., Wang, Z., Li, J., & Sun, Z. (2019). Assessing the effects of climate variation and human activities on grassland degradation and restoration across the globe. Ecological Indicators, 106, 105504.
Liu, Y., Wang, Q., Zhang, Z.*, Tong, L., Wang, Z., & Li, J. (2019). Grassland dynamics in responses to climate variation and human activities in China from 2000 to 2013. Sci Total Environ, 690, 27-39.
章钊颖, 王松寒, 邱博, 宋练& 张永光*(2019). 日光诱导叶绿素荧光遥感反演及碳循环应用进展.遥感学报 (pp. 37-52)
Zhang, Z., Zhang, Y., Joiner, J., & Migliavacca, M. (2018). Angle matters: bidirectional effects impact the slope of relationship between gross primary productivity and sun-induced chlorophyll fluorescence from Orbiting Carbon Observatory-2 across biomes. Global Change Biology, 24, 5017-5020.
章钊颖, 鲁奕岑, 吴国周 & 王永利 (2017a). 基于多时相Sentinel-1A SAR数据草原地区降水量反演. 国土资源遥感 (pp. 156-160)
章钊颖, 鲁奕岑& 祝善友 (2017b). 标准化变换对高光谱影像波段选择影响.遥感信息 (pp. 99-106)

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