戴晓爱

戴晓爱

博士，教授

个人简介

姓 名：戴晓爱

性 别：女

民 族：汉族

籍 贯：甘肃省敦煌市

学 位：博士

专 业：地球探测与信息技术

职 称：教授（地图学与地理信息系统）

Email：daixiaoai@163.com daixiaoa@cdut.edu.cn

教育经历

  • 1997/09—2001/07 武汉大学资源环境学院 地图学与地理信息系统 理学学士

  • 1999/03—2001/07 武汉大学法学院 经济法 法学学士

  • 2002/09—2005/07 成都理工大学地球科学学院 制图制图学与地理信息工程 工学硕士

  • 2005/09—2012/07 成都理工大学地球物理学院 地球探测与信息技术 工学博士

工作经历

  • 2024.01 - 现在，教授，成都理工大学

  • 2017.11-2018.12，美国堪萨斯大学，地理系，访问学者

  • 2014 - 2023，副教授，成都理工大学

  • 2006 - 2013，讲师，成都理工大学

  • 2001 - 2005，助教，成都理工大学

研究兴趣

遥感信息分析与建模

1.高光谱遥感 图片

  • Dai, X.;Wang,Z.;Liu S.;Yao,Y. Hyperspectral imagery reveals large spatial variations of heavy metal content in agricultural soil - A case study of remote-sensing inversion based on Orbita Hyperspectral Satellites (OHS) imagery. Journal of Cleaner Production. 2022:380(1):134878, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2022.134878.
  • Dai, X. , Liu, C. , Li, N. , Wang, M. , & Wang, Z. . (2021). Lai scale effect research based on compact airborne spectrographic imager data in the heihe oasis. Journal of Mountain Science, 18(6), 1630-1645. https://doi.org/10.1007/s11629-020-6525-1

2.长时间序列遥感数据分析与应用 图片

  • Dai, X.; Fan, W.; Shan, Y.;Gao, Y.; Liu, C.; Nie, R.; Zhang, D.; Li,W.; Zhang, L.; Sun, X.; et al. LAI-Based Phenological Changes and Climate Sensitivity Analysis in the Three-River Headwaters Region. Remote Sens. 2022, 14, 3748. https://doi.org/10.3390/rs14153748
  • Shan Y, Dai X*, Li W, Yang Z, Wang Y, Qu G, Liu W, Ren J, Li C, Liang S, Zeng B. Detecting Spatial-Temporal Changes of Urban Environment Quality by Remote Sensing-Based Ecological Indices: A Case Study in Panzhihua City, Sichuan Province, China. Remote Sensing. 2022; 14(17):4137. https://doi.org/10.3390/rs14174137
  • Liu, W.; Dai, X.; Wang, M.;Lan, Y.; Qu, G.; Shan, Y.; Ren, J.; Li,W.; Liang, S.; Wang, Y.; et al. Area Changes and Influencing Factors of Large Inland Lakes in Recent 20 Years: A Case Study of Sichuan Province, China. Water 2022, 14, 2816. https://doi.org/10.3390/w1418281

3.深度学习与遥感图像分析 图片

  • Shiqi Zhang, Xiaoai Dai*, Jingzhong Li, Xiaojie Gao, Fuxi Zhang, Fanxi Gong, Heng Lu, Meilian Wang, Fujiang Ji, Zekun Wang & Peihao Peng (2022): Crop Classification for UAV Visible Imagery Using Deep Semantic Segmentation Methods, Geocarto International, DOI: 10.1080/10106049.2022.203238
  • Dai, X*., He, X., Guo, S. et al. Research on hyper-spectral remote sensing image classification by applying stacked de-noising auto-encoders neural network. Multimedia Tools and Applications 80, 21219–21239 (2021).https://doi.org/10.1007/s11042-021-10735-0
  • Xiaoai Dai*, Junying Cheng, Yu Gao, Shouheng Guo, Xingping Yang, Xiaoqian Xu, Yi Cen, “Deep Belief Network for Feature Extraction of Urban Artificial Targets”, Mathematical Problems in Engineering, vol. 2020, Article ID 2387823, 13 pages, 2020. https://doi.org/10.1155/2020/238782

4.冰湖时空变化信息提取 图片

  • Yang, Z., Duan, S., Dai, X., Sun, Y., & Liu, M. (2022). Mapping of lakes in the Qinghai-Tibet Plateau from 2016 to 2021: Trend and potential regularity. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2022.2131008
  • Zhichong Yang, Xiaoai Dai*, Zekun Wang, Xiaojie Gao, Ge Qu, Weile Li, Jingzhong Li, Heng Lu, Youlin Wang; The dynamics of Paiku Co lake area in response to climate change. Journal of Water and Climate Change 2022; jwc2022083. doi: https://doi.org/10.2166/wcc.2022.083
  • Qu, G.; Dai, X.*; Cheng, J.; Li,W.; Wang, M.; Liu, W.; Yang, Z.; Shan,Y.; Ren, J.; Lu, H.; et al. Characterization of Long-Time Series Variation of Glacial Lakes in Southwestern Tibet: A Case Study in the Nyalam County. Remote Sens. 2022, 14, 4688. https://doi.org/ 10.3390/rs14194688
  • Wang, X., Chen, G., Dai, X*. et al. Improved Process Management of Glacial Lake Outburst Flood Hazards by Integrating Modular Monitoring, Assessment, and Simulation. Water Resour Manage (2022). https://doi.org/10.1007/s11269-022-03146-9
  • Dai, X.*; Yang, X.; Wang, M.; Gao, Y.; Liu, S.; Zhang, J. The Dynamic Change of Bosten Lake Area in Response to Climate in the Past 30 Years[J].Water ,2020, 12, 4:1-23.

GIS空间分析与制图

1.生态环境监测与评价 图片

  • Xiaoai Dai, Haipeng Feng, Lixiao Xiao, Jiayun Zhou, Zekun Wang,, Shibo Fang, Yuanzhi Yao. Ecological vulnerability assessment of a China’s representative mining city based on hyperspectral remote sensing. Ecological Indicators, 2022:145:109663. ISSN 1470-160X.https://doi.org/10.1016/j.ecolind.2022.109663.

  • HE Qian,DAI Xiao’ai,CHEN Shiqi. Assessing the effects of vegetation and precipitation on soil erosion in the Three-River Headwaters Region of the Qinghai-Tibet Plateau,China.Journal of Arid Land,2020,12(5):865-886. https://doi.org/10.1007/s40333-020-0075-9. Dai, X., Gao, Y., He, X. et al. Spatial-temporal pattern evolution and driving force analysis of ecological environment vulnerability in Panzhihua City. Environ Sci Pollut Res (2020). https://doi.org/10.1007/s11356-020-11013-6

  • Yang, X.; Dai, X.; Li, W.; Lu, H.; Liu, C.; Li, N.; Yang, Z.; He, Y.; Li, W.; Fu, X.; et al.Socio-Ecological Vulnerability in Aba Prefecture, Western Sichuan Plateau: Evaluation, Driving Forces and Scenario Simulation. ISPRS Int. J. Geo-Inf. 2022, 11, 524. https://doi.org/10.3390/ijgi11100524

2.生态系统服务

图片

  • Zeng J, Xu J, Li W, Dai X*, Zhou J, Shan Y, Zhang J, Li W, Lu H, Ye Y, Xu L, Liang S, Wang Y. Evaluating Trade-Off and Synergies of Ecosystem Services Values of a Representative Resources-Based Urban Ecosystem: A Coupled Modeling Framework Applied to Panzhihua City, China. Remote Sensing. 2022; 14(20):5282. https://doi.org/10.3390/rs14205282

  • Dai X, Johnson BA, Luo P, Yang K, Dong L, Wang Q, Liu C, Li N, Lu H, Ma L, Yang Z, Yao Y. Estimation of Urban Ecosystem Services Value: A Case Study of Chengdu, Southwestern China. Remote Sensing. 2021; 13(2):207. https://doi.org/10.3390/rs13020207

3.GIS与地质灾害易发性评价 图片

  • Cheng J, Dai X*, Wang Z, et al. Landslide Susceptibility Assessment Model Construction Using Typical Machine Learning for the Three Gorges Reservoir Area in China[J]. Remote Sensing, 2022, 14(9): 2257.

  • Jiang, F., Dai, X.*, Xie, Z. et al. Flood inundation evolution of barrier lake and evaluation of regional ecological spatiotemporal response—a case study of Sichuan-Tibet region. Environ Sci Pollut Res (2022). https://doi.org/10.1007/s11356-022-20866-y

  • Zhang, J.; Xu, J.; Dai, X.; Ruan, H.; Liu, X.; Jing, W. Multi-Source Precipitation Data Merging for Heavy Rainfall Events Based on Cokriging and Machine Learning Methods. Remote Sens. 2022, 14, 1750. https://doi.org/10.3390/rs14071750