孙奇 博士、讲师

一、个人简介

孙奇，博士，现任商丘师范学院测绘与规划学院讲师。毕业于中国矿业大学（北京）大地测量学与测量工程专业，主要研究方向包括植被定量遥感、生态环境遥感及农业遥感。迄今已发表学术论文10余篇，并多次受邀担任 International Journal of Applied Earth Observation and Geoinformation、Science of the Total Environment、Remote Sensing、Smart Agricultural Technology、Infrared Physics and Technology 等国际期刊的审稿人。

二、教学情况

先后主讲本科《大地测量学基础》、《城市测量》、《三维激光扫描技术与应用》、《测量与遥感》、《画法几何》、《建筑制图》、《测绘专业英语》等课程。

三、主持、参与和完成科研项目

1. 河南省教育厅高校重点科研项目（25B420003），云平台与深度学习协同驱动的温室大棚智能遥感识别技术与应用，2025.01-2026.12，主持；

2. 河南省科技厅科技攻关项目（242102110342），基于深度学习的河南省农业干旱遥感智能监测模型开发与应用，2024.01-2025.12，主持；

3. 河南省教育厅高校重点科研项目（25A170014）， 蚯蚓驱动的农田化肥减量增效关键技术研究，2025.01-2026.12，参与；

4. 河南省教育厅高校重点科研项目（24A170027），高性能生物炭/金属氧化物材料的开发及其在消除水体中抗生素的应用，2024.01-2025.12，参与；

5. 中华人民共和国科学技术部，国家重点研发计划（2017YFA0603001），全球生态系统碳循环关键参数立体观测与反演，2017.07-2021.12，参与;

6. 中华人民共和国科学技术部，国家重点研发计划（2016YFD0300601），粮食作物生长监测诊断与精确栽培技术，2016.01-2020.12，参与;

7 高分辨率对地观测系统重大专项（30-Y20A29-9003-15/17），GF-5高光谱载荷的典型植被参量反演技术，2015.11-2017.10，参与;

8. 海南自然科学基金项目（20164180），海南省森林变化的长时序卫星遥感监测方法与应用研究，2016.01-2017.12，参与。

四、主要论文和专著

(1) Sun Qi, Qiao Ruitong, Jiao Quanjun, et al. Response of Ecological Quality to Land Use/Cover Change During Rapid Urbanization of Xiong’an New Area. Land, 2024, 13(12): 2167. (SSCI)

(2) Sun Qi, Jiao Quanjun, Chen Xidong, et al. Machine Learning Algorithms for the Retrieval of Canopy Chlorophyll Content and Leaf Area Index of Crops Using the PROSAIL-D Model with the Adjusted Average Leaf Angle. Remote Sensing, 2023, 15: 2264. (SCI)

(3) Sun Qi, Jiao Quanjun, Liu Liangyun, et al. Improving the retrieval of forest canopy chlorophyll content from MERIS dataset by introducing the vegetation clumping index. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 5515-5528. (SCI)

(4) Sun Qi, Jiao Quanjun, Qian Xiaojin et al. Improving the retrieval of crop canopy chlorophyll content using vegetation index combinations. Remote Sensing, 2021, 13: 470. (SCI)

(5) Sun Qi, Jiao Quanjun, Dai huayang. Research on Retrieving Corn Canopy Chlorophyll Content under DifferentLeaf Inclination Angle Distribution Types Based on Spectral Indices, Spectroscopy and Spectral Analysis, 2019, 39(7): 2257-2263. (SCI)

(6) Sun Qi, Jiao Quanjun, Dai huayang. Evaluating the capabilities of vegetation spectral indices on chlorophyll content estimation at Sentinel-2 spectral resolutions, 10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR)-Remote Sensing Image Processing, Geographic Information Systems, and Other Applications. Xiangyang 2018. (EI)

(7) 孙奇, 关琳琳, 焦全军, 等. 基于植被指数融合的冬小麦生物量反演研究. 遥感技术与应用, 2021, 36(2): 391-399. (中文核心)

(8) Xing Huimin, Sun Qi, Li Zhiguo, et al. Sensitivity Analysis of AquaCrop Model Parameters for Winter Wheat under Different Meteorological Conditions Based on the EFAST Method. Polish Journal of Environmental Studies, 2025, 34(1): 329-345. (SCI)

(9) Jiao Quanjun; Sun Qi; Zhang Bing, et al. A random forest algorithm for retrieving canopy chlorophyll content of wheat and soybean trained with PROSAIL simulations using adjusted average leaf angle, Remote Sensing, 2022, 14: 98. (SCI)

(10) Qian Xiaojin, Liu Liangyun, Chen Xidong, Zhang Xiao, Chen Siyuan, Sun Qi. The Global leaf chlorophyll content dataset (GLCC) from 2003–2012 to 2018–2020 derived from MERIS and OLCI satellite data: Algorithm and validation, Remote Sensing, 2023, 15(3): 700. (SCI)

(11) Jiao Quanjun, Zhang Xiao, Sun Qi. Detecting of forest afforestation and deforestation in Hainan Jianfengling Forest Park (China) using yearly Landsat time-series images, 10th International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR)-Remote Sensing Image Processing, Geographic Information Systems, and Other Applications. Xiangyang 2018 (EI)

(12) 闫伟涛, 陈俊杰, 孙奇. 厚松散层条件下地表采动程度评定与分析. 煤矿开采, 2016, 21(2): 37-40. (中文核心)

(13) 刘新杰, 魏云霞, 焦全军, 孙奇. 基于时序定量遥感的冬小麦长势监测与估产研究. 遥感技术与应用, 2019, 34(1): 756-765. (中文核心)