青年学者 青年学者

最小化 最大化
        Amin Naboureh, (1988.05), 男,博士,特聘研究助理。
        Amin Naboureh, (1988.05), Male, PhD, Special Research Assisstant.
♦ 学习和工作经历 (Education)
        2018 - 2022 | Ph.D. in Physical Geography (Remote Sensing and GIS), University of Chinese Academy of Sciences (UCAS), China.
        2012 - 2015 | M.Sc. in Remote Sensing and Geographic Information System (Soil and Water Studies), University of Tabriz, Iran.
        2007 - 2011 | B.Sc. in Civil Engineering, Technical & Vocational College of Tabriz-No.1, Iran .
♦ 研究方向 (Research Interests)
        My research focuses on advancing land cover mapping and classification through the integration of big Earth Observation data, cutting-edge machine learning techniques, cloud computing platforms. I have developed and applied novel methods to improve the accuracy of land cover datasets, particularly in challenging and diverse regions like mountainous areas. I also explore the environmental impacts of land cover/use changes, focusing on its effects on water loss and air pollution. Additionally, my work involves developing innovative approaches to assess water resource changes in mountainous regions and their connection to climate change.
♦ 参与科研项目情况 (Participtaion in Scientific Projects)
        Sichuan Science and Technology Program key project "Exploring Land Cover and Crop Type Changes and Their Associated Environmental Costs in Sichuan" , | 2007 - 2011 | , Principal investigator
♦ 代表性论文 (Representative papers)
        1. Naboureh, A., Li, A., Bian, J., Lei, G., Nan, X., Zhang, Z., … Lin, X. (2024). Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China. International Journal of Digital Earth, 17(1). https://doi.org/10.1080/17538947.2024.2383454
        2. Naboureh A, Li A, Bian J, Lei G, Nan X. Land cover dataset of the China Central-Asia West-Asia Economic Corridor from 1993 to 2018. Scientific Data, 2023, 10:728
        3. Naboureh A, Li A, Bian J, Lei G. National Scale Land Cover Classification Using the Semiautomatic High-Quality Reference Sample Generation (HRSG) Method and an Adaptive Supervised Classification Scheme. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16: 1858-1870.
        4. Naboureh, A., Li, A., Ebrahimy, H., Bian, J., Azadbakht, M., Amani, M., ... & Nan, X. (2021). Assessing the effects of irrigated agricultural expansions on Lake Urmia using multi-decadal Landsat imagery and a sample migration technique within Google Earth Engine. International Journal of Applied Earth Observation and Geoinformation, 105, 102607. https://doi.org/10.1016/j.jag.2021.102607
        5. Naboureh, A., Li, A., Bian, J., Lei, G., & Amani, M. (2020). A hybrid data balancing method for classification of imbalanced training data within google earth engine: Case studies from mountainous regions. Remote Sensing, 12(20). 3301. https://doi.org/10.3390/rs12203301
        6. Naboureh, A., Ebrahimy, H., Azadbakht, M., Bian, J., & Amani, M. (2020). RUESVMs: An Ensemble Method to Handle the Class Imbalance Problem in Land Cover Mapping Using Google Earth Engine. Remote Sensing, 12(21), 3484. https://doi.org/10.3390/rs12213484
        7. Naboureh, A., Bian, J., Lei, G., & Li, A. (2021). A review of land use/land cover change mapping in the China-Central Asia-West Asia economic corridor countries. Big Earth Data, 5(2), 237-257. https://doi.org/10.1080/20964471.2020.1842305
        8. Naboureh, A., Feizizadeh, B., Naboureh, A., Bian, J., Blaschke, T., Ghorbanzadeh, O., & Moharrami, M. (2019). Traffic accident spatial simulation modeling for planning of road emergency services. ISPRS International Journal of Geo-Information, 8(9), 371. https://doi.org/10.3390/ijgi8090371
        9. Naboureh, A., Rezaei Moghaddam, M.H., Feizizadeh, B. et al. An integrated object-based image analysis and CA-Markov model approach for modeling land use/land cover trends in the Sarab plain. Arab J Geosci 10, 259 (2017). https://doi.org/10.1007/s12517-017-3012-2
♦ 联系方式 (Contanct Information)
        Address: No.189, Qunxian South street, Tianfu New District, Chengdu 610299, China
        Email:aminnaboureh@imde.ac.cn
        Research Gate homepage: https://www.researchgate.net/profile/Amin-Naboureh