刘南丰

研究方向

植被定量遥感：关注如何结合辐射传输模型和机器学习，建立高精度、普适型的植被参数反演模型

作物表型遥感：关注如何融合无人机多源遥感数据，快速、准确地获取作物关键表型参数

生态系统遥感：关注如何基于多源遥感从光谱和功能多样性角度评价植被生态系统多样性

基本介绍

刘南丰，博士，中山大学地理科学与规划学院副教授、硕士生导师。目前发表SCI论文21篇，其中以第一或通讯作者身份发表论文10篇，包括《Remote Sensing of Environment》2篇、《ISPRS Journal of Photogrammetry and Remote Sensing》1篇、《International Journal of Applied Earth Observations and Geoinformation》5篇、《Hydrology and Earth System Sciences》1篇、《Remote Sensing》2篇。此外，还开发了机载成像光谱仪Hyspex数据处理软件HyPRO（Github地址：https://github.com/EnSpec/HyPro）。

欢迎具备编程经验（Python/Matlab/C/C++/R中至少会一种编程语言），且有遥感、生态学、农学、计算机等某领域相关背景的同学报考。我们鼓励跨学科背景的申请者，以促进多元化的学术交流与创新研究。

学历背景

2012-2017 Queen's University 地理学专业博士

2009-2012 中国科学院遥感应用研究所地图学与地理信息系统专业硕士

2005-2009 南京信息工程大学遥感科学与技术专业学士

工作经历

2021-至今 中山大学地理科学与规划学院副教授

2017-2020 University of Wisconsin-Madison 博士后

科研项目

[3] 广州市农业和社会发展科技专题重点研发计划，基于无人机多源遥感的田间表型信息解析技术及其应用, 2024B03J1266, 2024-2025, 50万元，主持

[2] 广东省自然科学基金区域联合基金-青年基金项目，基于高光谱遥感的马铃薯产量性状反演研究，2022A1515110575，2022-2025, 10万元，主持

[1] 广东省自然科学基金-面上项目，基于无人机高光谱遥感的冬种马铃薯叶片养分反演研究，2023A1515011406，2023-2025, 10万元，主持

以第一或通讯作者身份发表的论文（“下划线”者为所指导的研究生; #为共同一作）

[11] Wenqian Chen^#, YurongHuang^#, Wei Tan, Yujia Deng, Cuihong Yang, Xiguang Zhu, Jian Shen, Nanfeng Liu* (2025). Investigating the mechanisms of hyperspectral remote sensing for belowground yield traits in potato plants. Remote Sensing, 17, 2097.（中科院二区）

[10] Yurong Huang, Wenqian Chen, Wei Tan, Yujia Deng, Cuihong Yang, Xiguang Zhu, Jian Shen, Nanfeng Liu* (2025). Transfer learning for enhancing the generality of leaf spectroscopic models in estimating crop foliar nutrients across growth stage. International Journal of Applied Earth Observation and Geoinformation, 139, 104481.（中科院一区）

[9] Jian Shen, Yurong Huang, Wenqian Chen, Mengjun Li, Wei Tan, Ronghui Wang, Yujia Deng, Yingting Gong, Shaoying Ai, Nanfeng Liu* (2025). Assessing the transferability of models for predicting foliar nutrient concentrations across maize cultivars. Remote Sensing, 17, 652.（中科院二区）

[8] Yurong Huang, Nanfeng Liu*, Erin Wagner Hokanson, Nicole Hansen, Philip A. Townsend (2024). Exploring the potential of multi-source satellite remote sensing in monitoring crop nutrient status: A multi-year case study of cranberries in Wisconsin, USA. International Journal of Applied Earth Observation and Geoinformation, 132, 104063.（中科院一区）

[7] Nanfeng Liu*, Erin Wagner Hokanson, Nicole Hansen, Philip A. Townsend (2023). Multi-year hyperspectral remote sensing of a comprehensive set of crop foliar nutrients in cranberries. ISPRS Journal of Photogrammetry and Remote Sensing, 205, 135-146.（中科院一区）

[6] Nanfeng Liu*, Philip A. Townsend, Mack R. Naber, Paul C. Bethke, William B. Hills, Yi Wang* (2021). Hyperspectral imagery to monitor crop nutrient status within and across growing seasons. Remote Sensing of Environment, 255, 112303.（中科院一区）

[5] Nanfeng Liu*, Matthew Garcia, Aditya Singh, John D.J. Clare, Jennifer L. Stenglein, Benjamin Zuckerberg, Eric L. Kruger, Philip A. Townsend (2021). Trail camera networks provide insights into satellite-derived phenology for ecological studies. International Journal of Applied Earth Observation and Geoinformation, 97, 102291.（中科院一区）

[4] Nanfeng Liu*, Paul Treitz (2018). Remote sensing of Arctic percent vegetation cover and fAPAR on Baffin Island, Nunavut, Canada. International Journal of Applied Earth Observation and Geoinformation, 71, 159-169.（中科院一区）

[3] Nanfeng Liu*, Paul Budkewitsch, Paul Treitz (2017). Examining spectral reflectance features related to Arctic percent vegetation cover: Implications for hyperspectral remote sensing of Arctic tundra. Remote Sensing of Environment, 192, 58-72.（中科院一区）

[2] Nanfeng Liu*, Paul Treitz (2016). Modelling high Arctic percent vegetation cover using field digital images and high-resolution satellite data. International Journal of Applied Earth Observation and Geoinformation, 52, 445-456.（中科院一区）

[1] Nanfeng Liu, Qiang Liu*, Lizhao Wang, Shunlin Liang, Jianguang Wen, Ying Qu, Suhong Liu (2013). A statistics-based temporal filter algorithm to map spatiotemporally continuous shortwave albedo from MODIS data. Hydrology and Earth System Sciences, 17, 2121-2129.（中科院一区）

以合作作者身份发表的论文

[11] Zhihui Wang*, Zhongyu Sun*, Nanfeng Liu, Shoubao Geng, Meili Wen, Hui Zhang, Long Yang (2025). Characterizing key foliar functional traits of subtropical evergreen forests in South China using leaf and UAV-based spectroscopy. Computers and Electronics in Agriculture, 233, 110178.

[10] P.M. Treitz*, D.M. Atkinson, A. Blaser, M.T. Bonney, C.A. Braybrook, E.C. Buckley, A. Collingwood, R. Edwards, K. van Ewijk, V. Freemantle, F. Gregory, J. Holloway, J.K.Y. Hung, S.F., N. Liu, G. Ljubicic, G. Robson, A.C.A. Rudy, N.A. Scott, C. Shang, J. Wall (2024). Arctic Science, 10, 281-304.

[9] Qu Zhou, Sheng Wang*, Nanfeng Liu, Philip A. Townsend, Chongya Jiang, Bin Peng, Wouter Verhoef, Kaiyu Guan* (2023). Towards operational atmospheric correction of airborne hyperspectral imaging spectroscopy: Algorithm evaluation, key parameter analysis, and machine learning emulators. ISPRS Journal of Photogrammetry and Remote Sensing, 196, 386-401.

[8] Zhihui Wang*, Jean-Baptiste Féret, Nanfeng Liu, Zhongyu Sun, Long Yang, Shoubao Geng, Hui Zhang, Adam Chlus, Eric L. Kruger, Philip A. Townsend (2023). Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically-and empirically-based approaches. Remote Sensing of Environment, 293, 113614.

[7] John D. J. Clare*, Benjamin Zuckerberg, Nanfeng Liu, Jennifer L. Stenglein, Timothy R. Van Deelen, Jonathan N. Pauli, Philip A. Townsend (2023). A phenology of fear: Investigating scale and seasonality in predator–prey games between wolves and white‐tailed deer. Ecology, 104, e4019.

[6] Simin Zhang, Nanfeng Liu , Ming Luo, Tao Jiang, Ting On Chan*, Cynthia Sin Ting Yau, Yeran Sun (2023). Downscaling Sentinel-3 chlorophyll-a concentration for inland lakes based on multivariate analysis and Gradient Boosting Decision Trees Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 7850-7865.

[5] Erin J. Questad*, Marlee Antill, Nanfeng Liu, E. Natasha Stavros, Philip A. Townsend,Susan Bonfield, David Schimel (2022). A camera-based method for collecting rapid vegetation data to support remote-sensing studies of shrubland biodiversity. Remote Sensing, 14, 1933.

[4] Sheng Wang*, Kaiyu Guan*, Zhihui Wang, Elizabeth A. Ainsworth, Ting Zheng, Philip A. Townsend, Nanfeng Liu , Emerson Nafziger, Michael D. Masters, Kaiyuan Li, Genghong Wu, Chongya Jiang (2021). Airborne hyperspectral imaging of nitrogen deficiency on crop traits and yield of maize by machine learning and radiative transfer modeling, International Journal of Applied Earth Observation and Geoinformation, 105, 102617.

[3] Philip A. Townsend*, John D. J. Clare, Nanfeng Liu, Jennifer L. Stenglein, Christine Anhalt-Depies, Timothy R. Van Deelen, Neil A. Gilbert, Aditya Singh, Karl J. Martin, Benjamin Zuckerberg (2021). Snapshot Wisconsin: Networking community scientists and remote sensing to improve ecological monitoring and management. Ecological Application, 31, e02436.

[2] Yin Qu, Qiang Liu*, Lizhao Wang, Nanfeng Liu, Suhong Liu (2014). Direct-estimation algorithm for mapping daily land-surface broadband albedo from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 52, 907-919.

[1] Qiang Liu*, Lizhao Wang, Ying Qu, Nanfeng Liu, Suhong Liu, Hairong Tang, Shunlin Liang. (2013). Preliminary evaluation of the long-term GLASS albedo product. International Journal of Digital Earth, 6 (sup1), 69-95.

刘南丰