2004.09至2009.06,中国科学院遥感应用研究所,地图学与地理信息系统专业,理学博士
2000.09至2004.07,北京师范大学信息学院,电子信息科学与技术专业,理学学士
2025.01至今 中国科学院空天信息创新研究院 研究员
2020.03至2024.12 中国科学院空天信息创新研究院 副研究员
2013.05至2018.05 美国马里兰大学地理科学系 访问学者
2013.04至2020.02 中国科学院遥感与数字地球研究所 副研究员
2010.10至2013.03 清华大学地球系统科学系 博士后
2009.07至2013.03 中国科学院遥感应用研究所 助理研究员
学术兼职
2024-至今 国际数字地球学会中国国家委员会数字减灾专委会 委员
2024-至今 2025澳门2025免费原料网学术建设委员会 委员
2022-至今 世界工程组织联合会减灾委员会 委员
2024-至今 中国科学院-发展中国家科学院空间减灾卓越中心 秘书长
1. Yu B, Zhu M, Chen F*, Wang N, Zhao H, Wang L*, 2024. Multi-scale differential network for landslide extraction from remote sensing images with different scenarios. International Journal of Digital Earth, 17, 2441920. https://doi.org/10.1080/17538947.2024.2441920
2. Chen F, Sun Y, Wang L*, Wang N, Zhao H, Yu B*, 2024. HRTBDA: a network for post-disaster building damage assessment based on remote sensing images. International Journal of Digital Earth, 17, 2418880. https://doi.org/10.1080/17538947.2024.2418880
3. Chen F, Wang L#, Wang Y*, Zhang H, Wang N, Ma P, Yu B*, 2024. Retrieval of dominant methane (CH4) emission sources, the first high resolution (1–2m) dataset of storage tanks of China in 2000–2021. Earth System Science Data, 16, 3369–3382. https://doi.org/10.5194/essd-16-3369-2024
4. Wang N, Chen F, Yu B, Zhang H, Zhao H, Wang L*, 2024. Delineation of Intermittent Rivers and Ephemeral Streams Using a Hybrid Method. Remote Sensing, 16, 2489. https://doi.org/10.3390/rs16132489
5. Wang L, Ye C, Chen F*, Wang N, Yu B*, 2024. SOENet: a multi-resolution network for sheep extraction from high-resolution remote sensing images. International Journal of Digital Earth, 17(1), 2368707. http://doi.org/10.1080/17538947.2024.2368707
6. Chen F, Wang L#, Wang N*, Guo H, Chen C, Ye C, Dong Y, Liu T, Yu B*, 2024. Evaluation of road network power conservation based on SDGSAT-1 glimmer imagery. Remote Sensing of Environment, 311, 114273. https://doi.org/10.1016/j.rse.2024.114273
7. Wang L, Chen C, Chen F*, Wang N, Li C, Zhang H, Wang Y, Yu B*, 2024. UGTransformer: A Sheep Extraction Model from Remote Sensing Images for Animal Husbandry Management. IEEE Transactions on Geoscience and Remote Sensing, 62, 5402614. https://doi.org/10.1109/TGRS.2024.3355925
8. Wang L, Ye C, Chen F*, Wang N, Li C, Zhang H, Wang Y, Yu B*, 2024. CG-CFPANet: a multi-task network for built-up area extraction from SDGSAT-1 and Sentinel-2 remote sensing images. International Journal of Digital Earth, 17(1), 2310092. https://doi.org/10.1080/17538947.2024.2310092
9. Zhang H, Chen F, Wang L*, Wang N, Yu B*, 2023. Reservoir inventory for China in 2016 and 2021. Scientific Data, 10: 609. https://doi.org/10.1038/s41597-023-02515-2
10. Li C, Chen F*, Wang N, Yu B, Wang L*, 2023. SDGSAT-1 nighttime light data improve village-scale built-up delineation. Remote Sensing of Environment, 297: 113764. https://doi.org/10.1016/j.rse.2023.113764
11. Yu B, Chen F*, Ye C, Li Z, Dong Y, Wang N, Wang L*, 2023. Temporal expansion of the nighttime light images of SDGSAT-1 satellite in illuminating ground object extraction by joint observation of NPP-VIIRS and sentinel-2A images. Remote Sensing of Environment, 295: 113691. https://doi.org/10.1016/j.rse.2023.113691
12. Li H, Song XP*, Hansen MC, Becker-Reshef I, Adusei B, Pickering J, Wang L, Wang L, Lin ZY, Zalles V, Potapov P, Stehman SV, Justice C, 2023. Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation. Remote Sensing of Environment, 294: 113623. https://doi.org/10.1016/j.rse.2023.113623
13. Yu B, Chen F*, Wang N, Wang L, Guo H, 2023. Assessing changes in nighttime lighting in the aftermath of the Turkey-Syria earthquake using SDGSAT-1 satellite data. The Innovation, 4(3): 100419. https://doi.org/10.1016/j.xinn.2023.100419
14. Yu B, Xu C, Chen F, Wang N, Yang L, Yang H, Wang L*, 2022. MSFTrans: A multi-task frequency-spatial learning Transformer for building extraction from high spatial resolution remote sensing images. GIScience & Remote Sensing, 59:1, 1978-1996. http://doi.org/10.1080/15481603.2022.2143678
15. Wang L, Yu B, Chen F, Li C, Li B, Wang N*, 2022. A Cluster-Based Partition Method of Remote Sensing Data for Efficient Distributed Image Processing. Remote Sensing, 14(19): 4964. https://doi.org/10.3390/rs14194964
16. Yu B, Yang AQ, Chen F, Wang N, Wang L*, 2022. SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction. International Journal of Applied Earth Observation and Geoinformation, 11: 102930. https://doi.org/10.1016/j.jag.2022.102930
17. Yu B, Xu C, Chen F, Wang N, Wang L*, 2022. HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection. International Journal of Applied Earth Observation and Geoinformation, 11: 102853. https://doi.org/10.1016/j.jag.2022.102853
18. Chen F*, Wang N, Yu B, Wang L, 2022. Res2-Unet, a New Deep Architecture for Building Detection from High Spatial Resolution Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15: 1494-1501. https://doi.org/10.1109/JSTARS.2022.3146430
19. Huang N, Wang L*, Song XP, Black TA, Jassal RS, Myneni RB, Wu CY, Wang L, Song WJ, Ji DB, Yu SS, Niu Z 2020. Spatial and temporal variations in global soil respiration and their relationships with climate and land cover. Science Advances, 6(41): eabb8508. https://doi.org/10.1126/sciadv.abb8508
20. Hansen MC*, Wang L, Song XP, Tyukavina A, Turubanova S, Potapov PV, Stehman SV, 2020. The Fate of Tropical Forest Fragments. Science Advances, 6(11): eaax8574. http://doi.org/10.1126/sciadv.aax8574
21. Sun ZC*, Xu R, Du WJ, Wang L, Lu DS, 2019. High-Resolution Urban Land Mapping in China from Sentinel 1A/2 Imagery Based on Google Earth Engine . Remote Sensing, 11(7): 752. https://doi.org/10.3390/rs11070752
22. Ying Q*, Hansen MC, Potapov PV, Tyukavina A, Wang L, Stehman SV, Moore R, Hancher M, 2017. Global bare ground gain from 2000 to 2012 using Landsat imagery. Remote Sensing of Environment, 194: 161-176. https://doi.org/10.1016/j.rse.2017.03.022
23. Li C, Wang J, Wang L, Hu LY, Gong P*, 2014. Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery. Remote Sensing, 6(2): 964-983. http://doi.org/10.3390/rs6020964
24. Wang L, Li CC, Ying Q, Cheng X, Wang XY, Li XY, Hu LY, Liang L, Yu L, Huang HB, Gong P*, 2012. China’s urban expansion from 1990 to 2010 determined with satellite remote sensing. Chinese Bulletin of Sciences, 57 (22): 2802-2812. https://doi.org/10.1007/s11434-012-5235-7
25. Gong P, Liang S, Carlton EJ, Jiang QW, WU JY, Wang L, Remais JV*, 2012. Urbanisation and health in China. Lancet, 379: 843-852. https://doi.org/10.1016/S0140-6736(11)61878-3
26. Wang L, Gong P*, Ying Q, Yang ZZ, Cheng X, Ran Q, 2010. Settlement extraction in the North China Plain using Landsat and Beijing-1 multispectral data with an improved watershed segmentation algorithm. International Journal of Remote Sensing, 31(6), 1411-1426. https://doi.org/10.1080/01431160903475332