康亚，博士。2020年毕业于长安大学地质与测绘学院，获大地测量学与测量工程博士学位。攻读博士学位期间，由国家留学基金委资助，赴美国南卫理公会大学交流访学两年，2021年6月进入南京邮电大学地理与生物信息学院工作，从事测绘科学与技术等方面的教学与科研工作。
研究聚焦于InSAR数据处理理论与应用。在《Remote Sensing of Environment》、《Remote Sensing》及《大地测量与地球动力学》等国内外期刊及会议发表论文十余篇，获批国家发明专利3项，并担任SCI期刊《Remote Sensing of Environment》、《IEEE Transactions on Geoscience
and Remote Sensing》与《Natural Hazards》的审稿人。多次参加国内外学术会议并作学术报告，例如AGU Fall Meeting、ISPRS TC III Symposium与全国博士生学术论坛（测绘科学与技术）等。
获得2022年测绘科学技术奖一等奖（排名第9），获得2020年度长安大学优秀博士论文。
代表性论文：
Kang, Y., Lu, Z., Zhao, C., Niu,
Y., Chen, L., Qu, W., & Li, M. (2026). An extended vector inclination
method for inferring detailed slip surfaces beneath landslides from SAR and
optical satellite remote sensing image. Remote Sensing of Environment, 334,
115225.
Kang, Y., Qu, W., Lu, Z., Peng, M.,
Zou, Z., Gong, M., & Zhang, H. (2025). Integrating InSAR, ICA, and geophysical
models to decipher the kinematics of Huangtupo landslide. Geomatics,
Natural Hazards and Risk, 16(1), 2550564.
Kang, Y., Lu, Z., Zhao, C., & Qu, W. (2023). Inferring
slip-surface geometry and volume of creeping landslides based on InSAR: A case
study in Jinsha River basin. Remote
Sensing of Environment, 294, 113620
Kang, Y.,
Lu, Z., Zhao, C., Xu, Y., Kim, J. W., & Gallegos, A. J. (2021). InSAR
monitoring of creeping landslides in mountainous regions: A case study in
Eldorado National Forest, California. Remote Sensing of
Environment, 258, 112400.
Kang, Y.,
Lu, Z., Zhao, C.,
Zhang, Q., Kim, J. W., & Niu, Y. (2019). Diagnosis of Xinmo (China)
Landslide Based on Interferometric Synthetic Aperture Radar Observation and
Modeling. Remote Sensing, 11(16), 1846.
Kang, Y.,
Zhao, C., Zhang, Q., Lu, Z., & Li, B. (2017). Application of InSAR Techniques
to an Analysis of the Guanling Landslide. Remote Sensing, 9(10), 1046.
Zhao,
C., Kang, Y., Zhang, Q., Lu, Z., Li,
B. (2018). Landslide Identification and Monitoring along the Jinsha River
Catchment (Wudongde Reservoir Area), China, Using the InSAR Method. Remote
Sens., 10(7), 993.
康亚, 赵超英, 张勤, 刘晓杰. InSAR滑坡探测技术研究—以金沙江乌东德水电站段为例. 大地测量与地球动力学, 2018,
38(10):67-71.
