Personal profile

Area of Interests:

Agricultural remote sensing: Crop mapping, crop monitoring, crop yield estimation

Climate change and crop: crop responses to climate change, adaptation and mitigation strategies

Degrees:

Ph. D., Cartography and Geographical Information System, Beijing Normal University, 2021

B. S., Geographical Information System, Northwest University, 2015

Publications: 

- Li, N., Zhan, P.^*, Pan, Y., Qiu, L., Wang, J., & Xu, W. (2024). Quantifying uncertainty: The benefits of removing snow cover from remote sensing time series on the extraction of climate-influenced grassland phenology on the Qinghai–Tibet Plateau. Agricultural and Forest Meteorology, 345, 109862.doi: https://doi.org/10.1016/j.agrformet.2023.109862 (IF: 6.2)

- Zhan, P., Zhu, W., Zhang, T., & Li, N. (2023). Regional inequalities of future climate change impact on rice (Oryza sativa L.) yield in China. Science of The Total Environment, 898, 165495. doi: https://doi.org/10.1016/j.scitotenv.2023.165495 (IF: 9.8)

- Shi, T., Zhan, P., Shen, Y., Wang, H., Wu, C., & Li, J. (2023). Using multi-technology to characterize transboundary Hg pollution in the largest presently active Hg deposit in China. Environmental Science and Pollution Research, 30(34), 82124-82141. doi: https://doi.org/10.1007/s11356-023-28080-0 

- Xie, Z., Zhu, W., He, B., Qiao, K., Zhan, P., & Huang, X. (2022). A background-free phenology index for improved monitoring of vegetation phenology. Agricultural and Forest Meteorology, 315, 108826. doi:https://doi.org/10.1016/j.agrformet.2022.108826

- Zhan, P., Zhu, W., & Li, N. (2021). An automated rice mapping method based on flooding signals in synthetic aperture radar time series. Remote Sensing of Environment, 252, 112112. doi:https://doi.org/10.1016/j.rse.2020.112112 (IF: 10.164; ESI高被引)

- Li, X., Zhu, W., Xie, Z., Zhan, P., Huang, X., Sun, L., & Duan, Z. (2021). Assessing the Effects of Time Interpolation of NDVI Composites on Phenology Trend Estimation. Remote Sensing, 13(24), 5018. doi:10.3390/rs13245018

- Huang, X., Zhu, W., Wang, X., Zhan, P., Liu, Q., Li, X., & Sun, L. (2020). A Method for Monitoring and Forecasting the Heading and Flowering Dates of Winter Wheat Combining Satellite-Derived Green-up Dates and Accumulated Temperature. Remote Sensing, 12(21), 3536. doi:10.3390/rs12213536

- Li, N., Zhan, P., Pan, Y., Zhu, X., Li, M., & Zhang, D. (2020). Comparison of Remote Sensing Time-Series Smoothing Methods for Grassland Spring Phenology Extraction on the Qinghai–Tibetan Plateau. Remote Sensing, 12(20), 3383. doi: doi:10.3390/rs12203383

- Zhan, P., Zhu, W., Zhang, T., Cui, X., & Li, N. (2019). Impacts of sulfate geoengineering on rice yield in China: Results from a multimodel ensemble. Earth's Future, 7(4), 395-410. doi:10.1029/2018ef001094 (IF: 7.495)

- Xie, Z., Zhu, W., Qiao, K., Zhan, P., & Li, P. (2019). Seasonal differences in relationships between changes in spring phenology and dynamics of carbon cycle in grasslands. Ecosphere, 10(5), e02733. doi:10.1002/ecs2.2733

- Tang, K., Zhu, W., Zhan, P., & Ding, S. (2018). An Identification Method for Spring Maize in Northeast China Based on Spectral and Phenological Features. Remote Sensing, 10(2), 193. doi:10.3390/rs10020193

Fundings:

- National Natural Science Foundation of China, Study on the automated extraction of fine rice cropping patterns with a combined use of optical and SAR remote sensing, 2024.01-2026.12

- Jiangsu Key Laboratory of Agricultural Meteorology Foundation, Study on the regional inequalities and countermeasures of the climate change impact on rice yield in China, 2024.01-2025.12

- The Startup Foundation for Introducing Talent of NUIST, The regional differences of climate change impact on rice yield in southern China and its countermeasures, 2022.03-2025.02