全兴文 (副教授)

副教授 硕士生导师

主要任职：Dr.

性别：男

毕业院校：电子科技大学

学历：博士研究生毕业

学位：工学博士学位

在职信息：在岗

所在单位：资源与环境学院

入职时间：2017-07-14

学科：测绘科学与技术

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个人简介

全兴文，博士，副教授，电子科技大学资源与环境学院定量遥感团队。长期从事地表弱敏感参数遥感反演研究，及其在森林草原火灾风险预警中的应用；相关研究成果列入科技部国家遥感中心《全球生态环境遥感监测2019年度报告》课题，并服务于四川省森林草原防灭火专项治理工作。

研究方向

  • 可燃物参数(弱敏感参数)遥感反演，包括可燃物含水率 (Fuel moisture content, FMC)、可燃物载量 (Fuel load, FL)、生物量等

  • 森林草原火灾风险评估与预警

奖励/兼职

  • 《Big Earth Data》Topic Editor

  • 《森林防火》、《GIScience & Remote Sensing》编委

  • 《Fire》Topical Advisory Panel

  • 国际野火协会Membership Committee委员

  • 第五届全国“互联网+”大学生创新创业大赛四川金奖、国家银奖指导教师

  • “李小文遥感科学青年奖”

  • 2014-2016年电子科技大学优秀共产党员

  • 担任Nature Geoscience, RSE, IJWF等期刊野火预警防控方向审稿人

项目

  • 高强度森林火灾大尺度蔓延预测技术与系统，国家重点研发项目，2022.11-2025.10，子课题负责人

  • 川西森林冠层可燃物含水率遥感反演中的不确定性研究，四川省自然科学基金面上项目，2022-01 至 2023-12，主持

  • 川西地区森林野火风险预警遥感理论与方法，国家自然科学基金区域创新发展联合基金重点，2021.01-2024.12，参与

  • 森林火灾预警监测关键技术及应用示范，四川省重点研发计划，2020.01-2021.12，参与

  • 基于新一代静止气象卫星数据的植被冠层可燃物含水率反演方法，国家自然科学基金青年项目，2019.01-2021.12，主持

  • 药肥精准施用跨境跨区域大数据平台，国家重点研发计划课题，2018.06-2020.12，参与。

  • 西昌输电线路区域山火风险遥感评估，横向项目，2018.01-2019.12，主持。

  • 全球生态环境遥感监测2019年度报告第一标段“全球森林覆盖状况及变化”专题报告，国家遥感中心，2018.12-2019.12，参与。

专著

  • 何彬彬,全兴文,王龙,文崇波,骆开苇,刘向茁. 森林草原野火风险预警监测方法及应用[M]. 北京:科学出版社,2022.

  • 何彬彬,全兴文,白晓静. 遥感模型弱敏感参数反演方法[M].北京:科学出版社,2018.

  • 何彬彬,行敏锋,全兴文.草原生态环境要素遥感定量反演及应用系统[M].北京:科学出版社, 2016.

学生培养

  • 国内、欧美名校继续深造，航天科工、中电、阿里、华为等企事业单位就业，欢迎同学们报考。

Publications

  1. Xingwen Quan*, Miao Jiao, Zhili He, Abolfazl Jaafari, Qian Xie, Xiaoying Lai.  Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability[J]. International Journal of Wildland Fire, 2023.

  2. Zhenyu Kang, Xingwen Quan*, Gengke Lai. Assessing the Effects of Fuel Moisture Content on the 2018 Megafires in California[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 16: 868-877. 

  3. Gengke Lai, Xingwen Quan*, Marta Yebra, Binbin He. Model-driven estimation of closed and open shrublands live fuel moisture content[J]. GIScience & Remote Sensing, 2022, 59: 1837-1856.

  4. Miao Jiao, Xingwen Quan*, Jingsong Yao. Evaluation of Four Satellite-Derived Fire Products in the Fire-Prone, Cloudy, and Mountainous Area Over Subtropical China[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5.

  5. Xingwen, Quan, Yanxi Li, Binbin He*, Geoffrey J. Cary, Gengke Lai. Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method[J], IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2021,14: 5100-5110.

  6. Xingwen, Quan, Qian Xie, Binbin He*, Kaiwei Luo, Xiangzhuo Liu. Integrating remotely sensed fuel variables into wildfire danger assessment for China[J], International Journal of Wildland Fire,2021, 30: 807-821.

  7. Xingwen, Quan, Marta Yebra*, David Riaño, Binbin He*, Gengke Lai, Xiangzhuo Liu. Global fuel moisture content mapping from MODIS[J], International Journal of Applied Earth Observation and Geoinformation,2021,101:102354.

  8. Yanxi, Li, Xingwen Quan, Zhanmang Liao, Binbin He*. Forest Fuel Loads Estimation from Landsat ETM plus and ALOS PALSAR Data[J]. Remote Sensing,2021,13(6):1189

  9. Changming, Yin, Binbin He*, Xingwen Quan, Marta Yebra, Gengke Lai. Remote Sensing of Burn Severity Using Coupled Radiative Transfer Model: A Case Study on Chinese Qinyuan Pine Fires[J]. Remote Sensing,2020,12(21):3590.

  10. Zhanmang, Liao, Binbin He*, Xingwen Quan. Potential of texture from SAR tomographic images for forest aboveground biomass estimation[J]. International Journal of Applied Earth Observation and Geoinformation,2020,88: 102049.

  11. Changming, Yin, Binbin He*, Marta Yebra, Xingwen Quan*, Andrew C. Edwards, Xiangzhuo Liu, Zhanmang Liao. Improving burn severity retrieval by integrating tree canopy cover into radiative transfer model simulation[J]. Remote Sensing of Environment,2020,236: 111454.

  12. 全兴文, 何彬彬*, 刘向茁, 廖展芒, 邱实,殷长明.多模型耦合下的植被冠层可燃物含水率遥感反演[J]. 遥感学报,2019,23(1): 62-77.

  13. Long, Wang, Xingwen Quan*, Binbin He, Marta Yebra, Minfeng Xing, Xiangzhuo Liu. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation[J]. Remote Sensing,2019,11(13): 1568.

  14. Kaiwei, Luo, Xingwen Quan*, Binbin He, Marta Yebra. Effects of Live Fuel Moisture Content on Wildfire Occurrence in Fire-Prone Regions over Southwest China[J]. Forests,2019,10(10): 887.

  15. Zhanmang, Liao, Binbin He*, Xiaojing Bai, Xingwen Quan. Improving Forest Height Retrieval by Reducing the Ambiguity of Volume-Only Coherence Using Multi-Baseline PolInSAR Data[J]. IEEE Transactions on Geoscience and Remote Sensing,2019,57(11): 8853-8866.

  16. Zhanmang, Liao, Binbin He*, Xingwen Quan*, Albert I. J. M. van Dijk, Shi Qiu, Changming Yin. Biomass estimation in dense tropical forest using multiple information from single-baseline P-band PolInSAR data[J]. Remote Sensing of Environment,2019,221: 489-507.

  17. Marta, Yebra*, Xingwen Quan, David Riano, Pablo Rozas Larraondo, Albert I. J. M. van Dijk, Geoffrey J. Cary. A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing[J]. Remote Sensing of Environment,2018,212: 260-272.

  18. Xiangzhuo, Liu, Binbin He*, Xingwen Quan, Marta Yebra, Shi Qiu, Changming Yin, Zhanmang Liao, Hongguo Zhang. Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data[J]. Remote Sensing,2018,10(10): 1654.

  19. Zhanmang, Liao, Binbin He*, Albert I. J. M. van Dijk, Xiaojing Bai, Xingwen Quan. The impacts of spatial baseline on forest canopy height model and digital terrain model retrieval using P-band PolInSAR data[J]. Remote Sensing of Environment,2018,210: 403-421.

  20. Xingwen, Quan, Binbin He*, Marta Yebra, Changming Yin, Zhanmang Liao, Xueting Zhang, Xing Li. A radiative transfer model-based method for the estimation of grassland aboveground biomass[J]. International Journal of Applied Earth Observation and Geoinformation,2017,54: 159-168.

  21. Xingwen, Quan, Binbin He*, Marta Yebra, Changming Yin, Zhanmang Liao, Xing Li. Retrieval of forest fuel moisture content using a coupled radiative transfer model[J]. Environmental Modelling & Software,2017,95: 290-302.

  22. Shi, Qiu, Binbin He*, Zhe Zhu*, Zhanmang Liao, Xingwen Quan. Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images[J]. Remote Sensing of Environment,2017,199: 107-119.

  23. Binbin, He*, Xingwen Quan, Dasong Xu, Changming Yin, Zhanmang Liao, Shi Qiu, Jinsong Ge, Zhijun Zhang. Retrieving Grassland Canopy Water Content by Considering the Information from Neighboring Pixels[J]. Photogrammetric Engineering & Remote Sensing,2017,83(8): 553-565.

  24. Changming, Yin, Binbin He*, Xingwen Quan, Zhanmang Liao. Chlorophyll content estimation in arid grasslands from Landsat-8 OLI data[J]. International Journal of Remote Sensing,2016,37(3): 615-632.

  25. Xingwen, Quan, Binbin He*, Xing Li, Zhanmang Liao. Retrieval of Grassland Live Fuel Moisture Content by Parameterizing Radiative Transfer Model With Interval Estimated LAI[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2016,9(2): 910-920.

  26. Xingwen, Quan, Binbin He, Xing Li, Zhi Tang. Estimation of Grassland Live Fuel Moisture Content from Ratio of Canopy Water Content and Foliage Dry Biomass[J]. IEEE Geoscience and Remote Sensing Letters,2015,12(9): 1903-1907.

  27. Xingwen, Quan, Binbin He*, Xing Li. A Bayesian Network-Based Method to Alleviate the Ill-Posed Inverse Problem: A Case Study on Leaf Area Index and Canopy Water Content Retrieval[J]. IEEE Transactions on Geoscience and Remote Sensing,2015,53(12): 6507-6517.

  28. Zhanmang, Liao, Binbin He*, Xingwen Quan. Modified enhanced vegetation index for reducing topographic effects[J]. Journal of Applied Remote Sensing,2015,9(1): 096068.

  29. Xing, Li, Binbin He*, Xingwen Quan, Zhanmang Liao, Xiaojing Bai. Use of the Standardized Precipitation Evapotranspiration Index (SPEI) to Characterize the Drying Trend in Southwest China from 1982–2012[J]. Remote Sensing,2015,7(8): 10917-10937.

  30. Binbin, He*, Zhanmang Liao, Xingwen Quan, Xing Li, Junjie Hu. A Global Grassland Drought Index (GDI) Product: Algorithm and Validation[J]. Remote Sensing,2015,7(10): 12704-12736.

  31. Binbin, He*, Xing Li, Xingwen Quan, Shi Qiu. Estimating the Aboveground Dry Biomass of Grass by Assimilation of Retrieved LAI Into a Crop Growth Model[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(2): 550-561.

  32. Minfeng, Xing*, Binbin He, Xingwen Quan, Xiaowen Li. An Extended Approach for Biomass Estimation in a Mixed Vegetation Area Using ASAR and TM Data[J]. Photogrammetric Engineering & Remote Sensing,2014,80(5): 429-438.

  33. Xingwen, Quan, Binbin He*, Yong Wang, Zhi Tang, Xing Li. An Extended Fourier Approach to Improve the Retrieved Leaf Area Index (LAI) in a Time Series from an Alpine Wetland[J]. Remote Sensing,2014,6(2): 1171-1190.

  34. Binbin, He, Xingwen Quan*, Minfeng Xing. Retrieval of leaf area index in alpine wetlands using a two-layer canopy reflectance model[J]. International Journal of Applied Earth Observation and Geoinformation,2013,21: 78-91.


教育经历

  2003.9-2006.9

无 高中毕业

  2006.9-2010.6

成都理工大学  |  资源勘查工程  |  工学学士学位  |  大学本科毕业

  2010.9-2013.6

电子科技大学  |  地图制图学与地理信息工程  |  工学硕士学位  |  硕士研究生毕业

  2013.9-2017.6

电子科技大学  |  信息与通信工程  |  工学博士学位  |  博士研究生毕业

工作经历

  2017.7-至今

电子科技大学资源与环境学院  |  专任教师

  2015.9-2016.9

澳大利亚国立大学  |  Fenner环境与社会学院  |  访问学者

研究方向

  • [1]   一、可燃物信息遥感定量反演

  • [2]   二、时空大数据挖掘

  • [3]   三、全球气候变化条件下的森林草原火灾风险挖掘与预警

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    • 团队成员

    电子科技大学定量遥感团队