戈文艳
基本信息
戈文艳,女,博士,副研究员,博士研究生导师。毕业于中国地质大学(北京)地球探测与信息技术专业,主要从事多尺度生态遥感、全球变化与植被动态、遥感与GIS应用等研究
通讯地址:陕西省咸阳市杨陵区西农路26号
教育背景
2015.09-2019.01 中国地质大学(北京)地球探测与信息技术 工学博士
2009.09-2013.06 中国地质大学(北京)地质学(基地班)理学学士
工作经历
2023.07-至今 西北农林科技大学 副研究员
2019.01-2023.07 西北农林科技大学 助理研究员
科学研究
(一)承担科研项目
国家自然科学基金面上项目,黄土高原人工刺槐林碳汇强度林龄阈值研究,2026-2029,主持
国家自然科学基金青年项目,黄土高原典型稳定植被系统物候时空变化特征及其气候驱动机制,2021-2023,主持
中国科学院西部之光“青年学者B类”项目,基于目标探测算法的黄土高原丘陵区梯田提取研究,2020-2022,主持
中国博士后科学基金面上资助项目,植被物候多尺度转变特征及其影响因素研究,2020-2021,主持
国家自然科学基金黄河水科学联合研究项目,黄土高原极端暴雨土壤侵蚀致灾及蓄排协调防控机制,2022-2025,参与
(二)代表论著
Tian, X., Jia, X., Da, Y., Liu, J., & Ge, W.* (2025). Evaluating the sensitivity of vegetation indices to leaf area index variability at individual tree level using multispectral drone acquisitions. Agricultural and Forest Meteorology, 364, 1-11.
Jia, X., Wang, C., Da, Y., Tian, X., & Ge, W.* (2024). Tree-level biomass estimation using unmanned aerial vehicle (UAV) imagery and allometric equation. Biomass and Bioenergy, 190, 107420.
Ge, W.#, Li, X.#, Jing, L., Han, J., & Wang, F.* (2023). Monitoring canopy-scale autumn leaf phenology at fine-scale using unmanned aerial vehicle (UAV) photography. Agricultural and Forest Meteorology, 332, 109372.
Ge, W., Li, X., Xie, M., Yu, B., Jiao, J., Wang, J., & Wang, F.* (2023). Quantitative evaluation of drought risk related to vegetation productivity in China. Journal of Hydrology, 623, 129877.
Ge, W., Deng, L., Wang, F.*, & Han, J. (2021). Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016. Science of the Total Environment, 773, 145648.
Ge, W., Han, J., Zhang, D., & Wang, F.* (2021). Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, southwest China. Ecological Indicators, 127(1), 1-11.
Zhang, D.#, Ge, W.#, & Zhang, Y. (2020). Evaluating the vegetation restoration sustainability of ecological projects: A case study of Wuqi County in China. Journal of Cleaner Production, 264, 121751.
Ge, W., Cheng, Q., Jing, L.*, Wang, F., Zhao, M., & Ding, H. (2020). Assessment of the capability of Sentinel-2 imagery for iron-bearing minerals mapping: A case study in the Cuprite Area, Nevada. Remote Sensing, 12(18), 3028-3028.
Ge, W., Cheng, Q., Tang, Y., Jing, L.*, & Gao, C. (2018). Lithological classification using Sentinel-2A data in the Shibanjing Ophiolite Complex in Inner Mongolia, China. Remote Sensing, 10(4), 638.