丁艳玲
东北师范大学地理科学学院
职 称:副教授
研究方向:植被遥感
办公电话:0431-85099550
办公地点:地理楼421
电子邮件:dingyl720@nenu.edu.cn
个人简介
丁艳玲,女,1986年生,博士,副教授,毕业于中国国科学院东北地理与农业生态研究所,主要研究方向为植被遥感参数反演,具体研究内容是叶面积指数、植被覆盖度/非光合植被覆盖度、秸秆覆盖度、生物量等参数的反演。主持和参加国家自然科学基金青年项目、面上项目、吉林省重点科技研发项目、中国博士后特别资助、中国博士后面上资助等科研项目10余项,发表SCI论文10余篇。
招生专业:地图学与地理信息系统,欢迎对遥感感兴趣的同学报考。
教育经历
2006/9-2010/7,西北大学,地理信息系统,理学学士
2010/09-2015/06,中国科学院东北地理与农业生态研究所,地图学与地理信息系统,理学博士
工作经历
2015/07-2018/01,东北师范大学,地理科学学院,博士后
2018/01-2018/06,东北师范大学,地理科学学院,讲师
2018/9-2019/9,澳大利亚悉尼科技大学,访问学者
2018/06-至今,东北师范大学,地理科学学院,副教授
科研项目
国家级:
1. 国家自然科学基金委员会, 面上项目, 42271333, 秸秆反射率建模与秸秆覆盖度多光谱遥感估算方法研究, 2023-01-01 至 2026-12-31, 50万元, 在研, 主持
2.国家自然科学青年科学基金项目,41501408,“土壤反射光谱时空异质性影响下的植被覆盖度遥感估算方法研究”,结题,主持;
3.中国博士后面上基金,2016M590244,修正土壤背景VIsoil异质性的时序植被覆盖度遥感估算,结题,主持;
4.中国博士后基金特别资助,2017T100193,荒漠地表光合/非光合植被覆盖度遥感估算及多尺度验证,结题,主持;
5.国家自然科学基金面上项目,41671347,“典型‘同物异谱、同谱异物’的偏振特性与识别研究”,结题,参与;
6.国家自然科学基金面上项目,41771450,‘呼伦贝尔草原植被物候对积雪物候的响应机制研究’,结题,参与。
省级:
1. 吉林省科学技术厅, 吉林省自然科学基金, YDZJ202201ZYTS484, 基于波段形态特征的多光谱遥感秸秆覆盖度估算研究, 2022-07 至 2025-06, 10万元, 在研, 主持
2.吉林省教育厅, 基础研究, JJKH20221163KJ, 多光谱与高光谱遥感协同的秸秆覆盖度估算和保护性耕作识别研究, 2022-01 至 2024-12, 2.5万元, 在研, 主持;
3. 吉林省科技厅重点科技研发项目,20180201012GX,3kg级无人机载高光谱偏振成像系统研究及其在精准农业领域的应用,结题,主持。
发表文章
1.Chi Xu; Yanling Ding; Xingming Zheng; Yeqiao Wang; Rui Zhang; Hongyan Zhang; Zewen Dai;Qiaoyun Xie; A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables, Remote Sensing, 2022, 14(16): 4083-4083
2.Zewen Dai; Yanling Ding; Chi Xu; Yunchao Chen; Lin Liu ; Evaluation of the impact of cropresidue on fractional vegetation cover estimation by vegetation indices over conservation tillage cropland: a simulation study, International Journal of Remote Sensing, 2022, 43(17): 6463-6482
3.Qiao yun Xie; Jamie Cleverly; Caitlin E. Moore; Yanling Ding; Christopher C. Hall; Xuanlong Ma; Luke A. Brown; Cong Wang; Jason Beringer; Suzanne M. Prober; Craig Macfarlane; Wayne S. Meyer; Gaofei Yin; Alfredo Huete ; Land surface phenology retrievals for arid and semi-aridecosystems, ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 185: 129-145
4.Yanling Ding, Hongyan Zhang, Zhongqiang Wang, Yeqiao Wang*, Qiaoyun Xie, Lin Liu. A comparison of estimating crop residue cover from Sentinel-2 data using empirical regressions and machine learning methods. Remote Sensing,2020,12,1470.
5.Mengmeng Xie, Zhongqiang Wang, Alfredo Huete, LA Brown, Heyu Wang, Qiaoyun Xie, Yanling Ding*. Estimating Peanut Leaf Chlorophyll Content with Dorsiventral Leaf Adjusted Indices: Minimizing the Impact of Spectral Differences between Adaxial and Abaxial Leaf Surfaces. Remote Sensing, 2019, 11(18), 2148.
6.Yanling Ding*, Hongyan Zhang, Kai Zhao, Xingming Zheng. Investigating the accuracies of vegetation index-based models for estimating fractional vegetation cover and the impact of soil background variations using in-situ measurements and the PROSAIL model. International Journal of Remote Sensing, 2017, 38(14): 4206-4223.
7.Yanling Ding*, Hongyan Zhang, Zhenwang Li, Xiaoping Xin, Xingming Zheng, Kai Zhao. Comparison of fractional vegetation cover estimations using dimidiate pixel models and look-up table inversions of the PROSAIL model from Landsat 8 OLI data. Journal of Applied Remote Sensing, 2016, 10(3): 036022-1-036022-15.
8.Yanling Ding, Xingming Zheng*, Kai Zhao, Xiaoping Xin, Huanjun Liu. Quantifying the impact of NDVIsoil determination methods and NDVIsoil variability on the estimation of fractional vegetation cover in Northeast China, Remote Sensing. 2016, 8: 29.
9.Yanling Ding, Xingming Zheng, Tao Jiang, Kai Zhao *. Comparison and validation of long time serial global GEOV1 and regional Australian MODIS fractional vegetation cover products over the Australian continent. Remote Sensing, 2015, 7:5718-5733.
10.Yanling Ding, Kai Zhao*, Xingming Zheng, Tao Jiang. Temporal dynamics of spatial heterogeneity over cropland quantified by time-series NDVI, near infrared and red reflectance of Landsat 8 OLI imagery. International Journal of Applied Earth Observation and Geoinformation, 2014, 30:139-145.
11.Yanling Ding, Yong Ge, Maogui Hu, Jinfeng Wang, Jianghao Wang, Xingming Zheng, Kai Zhao*. Comparison of spatial sampling strategies for ground sampling and validation of MODIS LAI products. International Journal of Remote Sensing, 2014, 35(20): 7230-7244.
Email:dingyl720@nenu.edu.cn