个人简历
耿静,中山大学遥感科学与技术学院副教授,硕士生导师。主要从事遥感机理与人工智能双驱动的土壤生态环境要素遥感反演研究,目前主要集中在利用多源遥感大数据(特别是高光谱数据)进行土壤关键参数遥感反演制图(如土壤养分:土壤有机碳、氮磷钾元素等)、土壤重金属污染遥感监测、土壤肥力与土壤健康评价。担任国际数字地球学会数字农业专业委员会委员。指导硕士生获国家奖学金。
研究组向优秀本科生、客座学生开放,欢迎但不限于遥感、GIS、生态学、计算机、测绘、林学、农业、地理、资源环境等专业背景学生报考。
联系邮箱:gengj9@mail.sysu.edu.cn
研究方向
土壤定量遥感
高光谱遥感
人工智能与数字土壤制图
全球变化与土壤碳汇估算
教育经历
2011.09 - 2015.07,西北农林科技大学,林学,农学学士
2019.01 - 2020.01,美国加州大学伯克利分校,联合培养博士
2015.09 - 2020.07,中国科学院地理科学与资源研究所,生态学,理学博士 (免试硕博连读)
工作经历
2020.07-2025.03,中山大学遥感科学与技术学院,助理教授
2025.03-至今,中山大学遥感科学与技术学院,副教授
讲授课程
本科生:《自然资源与环境信息技术前沿》、《数字地图制图》
研究生:《学术规范与科技论文写作》、《地球系统科学与对地观测技术》
代表性论著(一作或通讯)
- Jing Geng*, Qiuyuan Tan, Junwei Lv, Huajun Fang. Assessing spatial variations in soil organic carbon and C:N ratio in Northeast China's black soil region: Insights from Landsat-9 satellite and crop growth information. Soil & Tillage Research, 2024, 235:105897 (中科院一区Top)
- Jing Geng, Junwei Lv, Jie Pei, Chunhua Liao, Qiuyuan Tan, Tianxing Wang, Huajun Fang*, Li Wang*. Prediction of soil organic carbon in black soil based on a synergistic scheme from hyperspectral data: Combining fractional-order derivatives and three-dimensional spectral indices. Computers and Electronics in Agriculture, 2024, 220:108905 (中科院一区Top)
- Jing Geng, Huajun Fang*, Shulan Cheng, Jie Pei. Effects of N deposition on the quality and quantity of soil organic matter in a boreal forest: Contrasting roles of ammonium and nitrate. Catena, 2021, 198:104996. (中科院一区Top)
- Jing Geng, Yong Yu, Qiuyuan Tan, Guoxu Li, Huajun Fang*, Yifan Guo, Shulan Cheng. Disentangling natural and anthropogenic influences on the spatial variability of soil cadmium contamination. Environmental Pollution, 2025, 384: 126946. (中科院二区Top)
- Junwei Lv, Jing Geng*, Yi Wu, Huajun Fang, Shulan Cheng, Jie Pei, Tianxing Wang. Enhanced mapping of soil organic carbon in China’s Black Soil Region using spectral-temporal-spatial fusion of multi-sensor satellite data. Soil and Tillage Research, 2026, 257, 106965. (中科院一区Top)
- Qiuyuan Tan, Jing Geng*, Yong Yu, Jie Pei, Huajun Fang. Improving soil organic carbon mapping in intensively cultivated Mollisols: A geographically adjusted Gaussian mixture model incorporating tillage practices and spectral indicators. Soil & Tillage Research. 2026, 106911. (中科院一区Top)
- Yong Yu, Jing Geng*, Guoxu Li, Huajun Fang, Shulan Cheng. Multi-Scale Analysis of Soil Property Variability in Northeast China's Black Soils Using Advanced Geospatial Models. Soil & Tillage Research. 2025, 254: 106762. (中科院一区Top)
- Yan Yang, Jing Geng*, Shulan Cheng, Huajun Fang*, Yifan Guo, Yuna Li, Yi Zhou, Fangying Shi, Karen Vancampenhout. Linking soil microbial community to the chemical composition of dissolved organic matter in a boreal forest during freeze-thaw cycles. Geoderma, 2023, 431:116359 (中科院一区Top)
- Jing Geng, Shulan Cheng*, Huajun fang, Jie Pei, Meng Xu, Mingzhu Lu, Yan Yang, Zicheng Cao. Nitrogen fertilization changes the molecular composition of soil organic matter in a subtropical plantation forest. Soil Science Society of America Journal, 2020, 84(1):1-15.
- Jing Geng, Shulan Cheng*, Huajun Fang*, Jie Pei, Meng Xu, Mingzhu Lu,Yan Yang, Zicheng Cao, Yuna Li. Different Molecular Characterization of Soil Particulate Fractions under N Deposition in a Subtropical Forest. Forests, 2019, 10:914.
- Jing Geng, Shulan Cheng*, Huajun Fang*, Guirui Yu, Xiaoyu Li, Gaoyue Si, Shun He, Guangxia Yu. Soil nitrate accumulation dominates the nonlinear responses of soil CO2 and CH4 fluxes to multi-level nitrogen addition in a temperate needle-broadleaved mixed forest. Ecological Indicators, 2017, 79:28-36.
- Jing Geng, Qiuyuan Tan, Ying Zhang, Junwei Lv, Yong Yu, Huajun Fang*, Yifan Guo,Shulan Cheng. Leveraging Remote Sensing-Derived Dynamic Crop Growth Information for Improved Soil Property Prediction in Farmlands. Remote Sensing. 2024, 16, 2731.
- Junwei Lv, Jing Geng*, Xuanhong Xu, Yong Yu, Huajun Fang, Yifan Guo, Shulan Cheng. Estimating Cadmium Concentration in Agricultural Soils with ZY1-02D Hyperspectral Data: A Comparative Analysis of Spectral Transformations and Machine Learning Models. Agriculture, 2024, 14, 1619.
- Yifan Guo, Jing Geng*, Shulan Cheng, Huajun Fang*, Xiaoyu Li, Yan Yang, Yuna Li, Yi Zhou. Soil acidification and ammonia-oxidizing archaeal abundance dominate the contrasting responses of soil N2O emissions to NH4+ and NO3- enrichment in a subtropical plantation. European Journal of Soil Biology, 2023, 116:103491
- Qiuyuan Tan, Jing Geng*, Huajun Fang, Yuna Li, Yifan Guo. Exploring the Impacts of Data Source, Model Types and Spatial Scales on the Soil Organic Carbon Prediction: A Case Study in the Red Soil Hilly Region of Southern China. Remote Sensing, 2022, 14:5151
- 耿静,方华军,程淑兰,著. 氮磷富集对森林土壤碳积累的差异性影响及其驱动机制[专著]. 北京: 中国农业科学技术出版社. 2022.
- 吴毅,耿静*,方华军,程淑兰. 傅里叶变换红外光谱在土壤有机质化学组分分析的研究进展.光谱学与光谱分析.2025. 45(12).
- 李国旭,耿静*,许选虹,谭秋园,郭一帆,方华军. 基于WorldView-3多光谱和关键环境变量的土壤镉含量反演. 农业工程学报,2022,38(12):224-232.
- 耿静,程淑兰,方华军*,于贵瑞,徐敏杰,王磊,李晓玉,司高月,何舜. 氮素类型和剂量对寒温带针叶林土壤N2O排放的影响. 生态学报,2017,37(2): 395-404.
国家发明专利
- 耿静,谭秋园. 作物覆盖区域的土壤养分反演方法、装置、设备及介质.专利授权号:ZL 202310534549.8
- 耿静,方华军,裴杰,李国旭,许选虹.融合多源环境变量与光谱信息的土壤重金属含量反演方法. 专利授权号:ZL 202210365885.X.
- 耿静,于泳,方华军. [发明专利]:一种大气氮沉降对植被生长的区域化影响评估方法和装置.专利授权号:ZL 202410159000.X.
- 耿静,吕俊伟,方华军. [发明专利]:一种基于 FOD 与最优波段组合的监测土壤有机碳的方法.专利申请号:202310545935.7.
- 耿静,吴毅,裴杰. [发明专利]:一种融合先验引导和全局优化的土壤养分检测方法及系统.专利申请号:202610197366.5.
软件著作权
耿静,杨祉丰,朱浩,卢淳芸,邹祉琴,陈静蔓,谭绍锋.农情遥感监测与水稻溯源系统[软件著作权].登记号:2023SR1605110.
方华军,裴杰,耿静,刘鹏宇. 天空地一体化农情大数据信息化云平台V1.0. [软件著作权]. 登记号:2022SR0539822.
科研项目
- 国家自然科学基金青年项目,快速城市化区域土壤有机碳高光谱遥感反演方法研究,2022.01-2024.12,主持
- 国家自然科学基金联合基金项目,珠江口红树林生态系统立体监测及碳汇反演研究,2026.01-2029.12,项目骨干
- 江西省吉安市科技计划项目,红壤丘陵区农田土壤肥力遥感估测与限制因子诊断,2022.10-2025.09,课题负责人
- 广东省区域联合基金(青年)项目,大气氮沉降对广东省陆地植被生长的定量影响研究,2020.10-2023.09,主持
- 地方技术开发项目,区域农田土壤重金属含量遥感反演方法研究,2021.01-2022.12,主持
- 地方技术开发项目,海南热带雨林国家公园森林土壤状况空间预测及质量评价,2025.07-2026.06,主持
代表性获奖
中山大学第十一届教师教学竞赛初赛二等奖,2023
中山大学第十一届本科教育教学成果奖二等奖(排名第七),2023
易智瑞杯中国大学生GIS软件开发竞赛·地图故事组优秀指导教师奖(三项),2022;2025
SuperMap杯高校GlS大赛优秀指导教师奖,2021
中山大学测绘科学与技术学院第一届青年教师讲课大赛二等奖,2020
学生培养
校级大创,基于无人机数据的作物高度提取研究,2024,指导教师:耿静、廖春华,成员:包敏敏、曾佳、吴巧玥、廖嘉琳(2022级),优秀结题
省级大创,南方红壤丘陵区土壤养分时空格局及其影响因素分析,2023,指导教师:耿静,成员:万宇杰、张辉扬、任心童、彭心宁(2021级)
校级大创,典型黑土退化区土壤有机质的高光谱响应特征研究,2022,指导教师:耿静,成员:许选虹、吴昊璇、谢奕伽、何炳泉(2020级)
院级大创,融合光谱信息与多源环境变量的土壤重金属反演研究,2021,指导教师:耿静,成员:李国旭(2019级)、许选虹(2020级)
2022级遥感4班班主任
主要学术兼职
国际数字地球学会数字农业专业委员会委员
广州市科学技术局农村科技特派员
Guest Editor of Special Issue on “Applications of Remote Sensing and Machine Learning for Digital Soil Mapping” in the Agriculture Journal
TGRS, Geoderma、International Journal of Applied Earth Observation and Geoinformation、Soil & Tillage Research、Catena等生态遥感领域SCI期刊审稿人
