基本信息
陈方  男  博导  中国科学院空天信息创新研究院
电子邮件: chenfang@radi.ac.cn
通信地址: 北京市海淀区邓庄南路9号
邮政编码: 100094

研究领域

灾害遥感、地球大数据减灾分析

招生信息

070503-地图学与地理信息系统

招生专业
070503-地图学与地理信息系统
招生方向
灾害遥感

教育背景

2003-09--2007-07   中国科学院遥感应用研究所   博士
1999-09--2003-07   西北工业大学   学士
学历

研究生

学位

博士

工作经历

2020-03~现在, 中国科学院空天信息创新研究院, ****/研究员

2019-03~现在, 中国科学院数字地球实验室副主任

2019-01~现在, 中国科学院空天信息创新研究院,数字灾害与农业研究室主任

2013-04~现在, 中国科学院-发展中国家科学院空间减灾卓越中心,常务副主任

2012-01~2020-02, 中国科学院遥感与数字地球研究所, ****/研究员

2009-02~2011-12,美国爱达荷州立大学, Research Associate

2007-10~2009-01,美国马里兰大学巴尔的摩郡分校, Research Associate

工作简历
2009-02~2011-12,美国爱达荷州立大学, Research Associate
2007-10~2009-01,美国马里兰大学巴尔的摩郡分校, Research Associate
社会兼职
2019-08-06-今,Frontiers in Earth Science, 编委
2018-11-01-今,Progress in Disaster Science, 编委
2017-09-30-今,国际数字地球学会(ISDE)中委会数字减灾专委会, 主任委员
2017-01-01-今,世界工程组织联合会减灾委员会, 委员
2015-09-30-今,中国科学院大学, 兼职教授
2015-02-02-2017-02-02,国科联灾害风险综合研究计划中国委员会, 秘书长
2014-06-23-今,Oxford Research Encyclopedias 自然灾害期刊, 编委
2013-12-31-今,国际地球科学与遥感大会, 科学委员会委员
2013-04-25-2018-04-25,国际地圈生物圈计划(IGBP)-陆地生态系统-大气过程综合研究(iLEAPS)中委会, 委员
2012-11-18-2017-11-18,国际数字地球学会(ISDE), Young Scientist Committee委员
2012-03-21-今,地球观测组织(GEO) Post-2015工作组成员,

教授课程

地球系统科学

专利与奖励

   
奖励信息
(1) 北斗+遥感一体化地质灾害智能监测关键技术研究与应用, 二等奖, 部委级, 2021
(2) TWAS Young Affiliates, 其他, 2014
(3) 中国科学院“****”引进国外杰出人才, , 其他, 2013
专利成果
( 1 ) 一种基于遥感影像与高程数据的滑坡提取方法, 发明专利, 2019, 第 2 作者, 专利号: ZL 201610718410.9.

( 2 ) 一种遥感影像光谱细分方法, 发明专利, 2008, 第 2 作者, 专利号: ZL200510127736.6

出版信息

   
发表论文
[1] Haiying Zhang, Fang Chen, Lei Wang, Ning Wang, Bo Yu. Reservoir inventory for China in 2016 and 2021. SCIENTIFIC DATA[J]. 2023, 10(1): 1-13, http://dx.doi.org/10.1038/s41597-023-02515-2.
[2] Bo Yu, Fang Chen, Ning Wang, Lei Wang, Huadong Guo. Assessing changes in nighttime lighting in the aftermath of the Turkey–Syria earthquake using SDGSAT-1 satellite data. THE INNOVATION[J]. 2023, http://dx.doi.org/10.1016/j.xinn.2023.100419.
[3] Enyu Du, Fang Chen, Huicong Jia, Lei Wang, Aqiang Yang. Spatiotemporal Evolution and Hysteresis Analysis of Drought Based on Rainfed-Irrigated Arable Land. REMOTE SENSING[J]. 2023, 15: https://doaj.org/article/7662e207168b49358d3a9d625285a0cd.
[4] Congrong Li, Ming Wang, Fang Chen, Thomas J Coulthard, Lei Wang. Integrating the SLIDE model within CAESAR-Lisflood: Modeling the ‘rainfall-landslide-flash flood’ disaster chain mechanism under landscape evolution in a mountainous area. CATENA[J]. 2023, 227: http://dx.doi.org/10.1016/j.catena.2023.107124.
[5] Chen, Fang, Wang, Jinxiao, Li, Bin, Yang, Aqiang, Zhang, Meimei. Spatial variability in melting on Himalayan debris-covered glaciers from 2000 to 2013. REMOTE SENSING OF ENVIRONMENT[J]. 2023, 291: http://dx.doi.org/10.1016/j.rse.2023.113560.
[6] Jia, Huicong, Chen, Fang, Du, Enyu, Wang, Lei. Drought Vulnerability Curves Based on Remote Sensing and Historical Disaster Dataset. REMOTE SENSING[J]. 2023, 15(3): http://dx.doi.org/10.3390/rs15030858.
[7] 赵会芹, 于博, 陈方, 王雷. 基于高分辨率卫星遥感影像滑坡提取方法研究现状. 遥感技术与应用[J]. 2023, 38(1): 108-115, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7451013&detailType=1.
[8] Yu, Bo, Chen, Fang, Ye, Cheng, Li, Ziwen, Dong, Ying, Wang, Ning, Wang, Lei. 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[J]. 2023, 295: http://dx.doi.org/10.1016/j.rse.2023.113691.
[9] Congrong Li, Fang Chen, Ning Wang, Bo Yu, Lei Wang. SDGSAT-1 nighttime light data improve village-scale built-up delineation. REMOTE SENSING OF ENVIRONMENT[J]. 2023, 297: http://dx.doi.org/10.1016/j.rse.2023.113764.
[10] Wang, Lei, Yu, Bo, Chen, Fang, Wang, Ning, Li, Congrong. An Analysis of Eco-Environmental Changes in Rural Areas in China Based on Sustainability Indicators between 2000 and 2015. LAND[J]. 2022, 11(8): http://dx.doi.org/10.3390/land11081321.
[11] Baqa, Muhammad Fahad, Lu, Linlin, Chen, Fang, NawazulHuda, Syed, Pan, Luyang, Tariq, Aqil, Qureshi, Salman, Li, Bin, Li, Qingting. Characterizing Spatiotemporal Variations in the Urban Thermal Environment Related to Land Cover Changes in Karachi, Pakistan, from 2000 to 2020. REMOTE SENSING[J]. 2022, 14(9): http://dx.doi.org/10.3390/rs14092164.
[12] Yu, Bo, Wang, Ning, Xu, Chong, Chen, Fang, Wang, Lei. A Network for Landslide Detection Using Large-Area Remote Sensing Images with Multiple Spatial Resolutions. REMOTE SENSING[J]. 2022, 14(22): http://dx.doi.org/10.3390/rs14225759.
[13] Huicong Jia, Fang Chen, Chuanrong Zhang, Jinwei Dong, Enyu Du, Lei Wang. High emissions could increase the future risk of maize drought in China by 60–70 %. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2022, http://dx.doi.org/10.1016/j.scitotenv.2022.158474.
[14] Xumiao Gao, Mingquan Wu, Ju Gao, Li Han, Zheng Niu, Fang Chen. Modelling Electricity Consumption in Cambodia Based on Remote Sensing Night-Light Images. APPLIED SCIENCES[J]. 2022, 12: https://doaj.org/article/8d34ba1b0db54b95afd814bb91674d6e.
[15] Jia, Huicong, Chen, Fang, Zhang, Chuanrong, Dong, Jinwei, Du, Enyu, Wang, Lei. High emissions could increase the future risk of maize drought in China by 60-70 %. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2022, 852: 11-, http://dx.doi.org/10.1016/j.scitotenv.2022.158474.
[16] Wang, Jinxiao, Chen, Fang, Zhang, Meimei, Yu, Bo. NAU-Net: A New Deep Learning Framework in Glacial Lake Detection. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS[J]. 2022, 19: http://dx.doi.org/10.1109/LGRS.2022.3165045.
[17] 郭华东, 梁栋, 孙中昶, 陈方, 王心源, 李俊生, 朱丽, 边金虎, 魏延强, 黄磊, 陈玉, 彭代亮, 李晓松, 卢善龙, 刘洁, Zeeshan, Shirazi. 地球大数据监测和评估可持续发展指标. 科学通报:英文版. 2022, 67(17): 1792-1801, http://lib.cqvip.com/Qikan/Article/Detail?id=7108089342.
[18] Yu, Bo, Xu, Chong, Chen, Fang, Wang, Ning, Wang, Lei. HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2022, 111: http://dx.doi.org/10.1016/j.jag.2022.102853.
[19] Wang, Ning, Chen, Fang, Yu, Bo, Wang, Lei. A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark. REMOTE SENSING[J]. 2022, 14(7): http://dx.doi.org/10.3390/rs14071568.
[20] Gao, Xumiao, Wu, Mingquan, Li, Chao, Niu, Zheng, Chen, Fang, Huang, Wenjiang. Influence of China's Overseas power stations on the electricity status of their host countries. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2022, 15(1): 416-436, http://lib.cqvip.com/Qikan/Article/Detail?id=7107691030.
[21] Yu, Bo, Chen, Fang, Wang, Ning, Yang, Lu, Yang, Haiping, Wang, Lei. MSFTrans: a multi-task frequency-spatial learning transformer for building extraction from high spatial resolution remote sensing images. GISCIENCE & REMOTE SENSING[J]. 2022, 59(1): 1978-1996, http://dx.doi.org/10.1080/15481603.2022.2143678.
[22] Gao, Xumiao, Wu, Mingquan, Niu, Zheng, Chen, Fang. Global Identification of Unelectrified Built-Up Areas by Remote Sensing. REMOTE SENSING[J]. 2022, 14(8): http://dx.doi.org/10.3390/rs14081941.
[23] Gao, Xumiao, Wu, Mingquan, Gao, Ju, Han, Li, Niu, Zheng, Chen, Fang. Modelling Electricity Consumption in Cambodia Based on Remote Sensing Night-Light Images. APPLIED SCIENCES-BASEL[J]. 2022, 12(8): http://dx.doi.org/10.3390/app12083971.
[24] Lu, Linlin, Qureshi, Salman, Li, Qingting, Chen, Fang, Shu, Lei. Monitoring and projecting sustainable transitions in urban land use using remote sensing and scenario-based modelling in a coastal megacity. OCEAN & COASTAL MANAGEMENT[J]. 2022, 224: http://dx.doi.org/10.1016/j.ocecoaman.2022.106201.
[25] Chen, Fang, Wang, Ning, Yu, Bo, Wang, Lei. 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[J]. 2022, 15: 1494-1501, http://dx.doi.org/10.1109/JSTARS.2022.3146430.
[26] Jia, Huicong, Chen, Fang, Pan, Donghua, Du, Enyu, Wang, Lei, Wang, Ning, Yang, Aqiang. Flood risk management in the Yangtze River basin -Comparison of 1998 and 2020 events. INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION[J]. 2022, 68: http://dx.doi.org/10.1016/j.ijdrr.2021.102724.
[27] Guo, Huadong, Liang, Dong, Sun, Zhongchang, Chen, Fang, Wang, Xinyuan, Li, Junsheng, Zhu, Li, Bian, Jinhu, Wei, Yanqiang, Huang, Lei, Chen, Yu, Peng, Dailiang, Li, Xiaosong, Lu, Shanlong, Liu, Jie, Shirazi, Zeeshan. Measuring and evaluating SDG indicators with Big Earth Data. SCIENCE BULLETIN[J]. 2022, 67(17): 1792-1801, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7354448&detailType=1.
[28] Yu, Bo, Yang, Aqiang, Chen, Fang, Wang, Ning, Wang, Lei. SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2022, 112: http://dx.doi.org/10.1016/j.jag.2022.102930.
[29] Zhang Meimei, Chen Fang, et al.. Glacial Lake Area Changes in High Mountain Asia during 1990–2020 Using Satellite Remote Sensing. RESEARCH[J]. 2022, [30] Wang, Lei, Yu, Bo, Chen, Fang, Li, Congrong, Li, Bin, Wang, Ning. A Cluster-Based Partition Method of Remote Sensing Data for Efficient Distributed Image Processing. REMOTE SENSING[J]. 2022, 14(19): http://dx.doi.org/10.3390/rs14194964.
[31] Yu, Bo, Chen, Fang, Wang, Yu, Wang, Ning, Yang, Xiaoyu, Ma, Pengfei, Zhou, Chunyan, Zhang, Yuhuan. Res2-Unet+, a Practical Oil Tank Detection Network for Large-Scale High Spatial Resolution Images. REMOTE SENSING[J]. 2021, 13(23): http://dx.doi.org/10.3390/rs13234740.
[32] Jia, Huicong, Chen, Fang, Du, Enyu. Adaptation to Disaster Risk-An Overview. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTHnull. 2021, 18(21): http://dx.doi.org/10.3390/ijerph182111187.
[33] 郭华东, 梁栋, 陈方, 孙中昶, 刘洁. 地球大数据促进联合国可持续发展目标实现. 中国科学院院刊[J]. 2021, 36(8): 874-884, http://lib.cqvip.com/Qikan/Article/Detail?id=7105453301.
[34] Baqa, Muhammad Fahad, Chen, Fang, Lu, Linlin, Qureshi, Salman, Tariq, Aqil, Wang, Siyuan, Jing, Linhai, Hamza, Salma, Li, Qingting. Monitoring and Modeling the Patterns and Trends of Urban Growth Using Urban Sprawl Matrix and CA-Markov Model: A Case Study of Karachi, Pakistan. LAND[J]. 2021, 10(7): http://dx.doi.org/10.3390/land10070700.
[35] Chen, Fang, Haritashya, Umesh K, Prakash, Mahesh, Wang, Lei. Editorial: Big Earth Data for Disaster Risk Reduction. FRONTIERS IN EARTH SCIENCE[J]. 2021, 9: http://dx.doi.org/10.3389/feart.2021.727547.
[36] Chen, Fang. Comparing Methods for Segmenting Supra-Glacial Lakes and Surface Features in the Mount Everest Region of the Himalayas Using Chinese GaoFen-3 SAR Images. REMOTE SENSING[J]. 2021, 13(13): http://dx.doi.org/10.3390/rs13132429.
[37] Chen, Fang, Zhang, Meimei, Guo, Huadong, Allen, Simon, Kargel, Jeffrey S, Haritashya, Umesh K, Watson, C Scott. Annual 30m dataset for glacial lakes in High Mountain Asia from 2008 to 2017. EARTH SYSTEM SCIENCE DATA. 2021, 13(2): 741-766, http://dx.doi.org/10.5194/essd-13-741-2021.
[38] Fang Chen, Ning Wang, Bo Yu, Yuchu Qin, Lei Wang. A Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform. REMOTE SENSING[J]. 2021, 13(10): [39] Zhao, Hang, Zhang, Meimei, Chen, Fang. GAN-GL: Generative Adversarial Networks for Glacial Lake Mapping. REMOTE SENSING[J]. 2021, 13(22): http://dx.doi.org/10.3390/rs13224728.
[40] Chen, Yu, Li, Lin, Whiting, Michael, Chen, Fang, Sun, Zhongchang, Song, Kaishan, Wang, Qinjun. Convolutional neural network model for soil moisture prediction and its transferability analysis based on laboratory Vis-NIR spectral data. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2021, 104: http://dx.doi.org/10.1016/j.jag.2021.102550.
[41] 陈方. Recent changes of glacial lakes in the High Mountain region of Asia and its potential controlling factors analysis. Remote Sensing. 2021, [42] Guo, Huadong, Chen, Fang, Sun, Zhongchang, Liu, Jie, Liang, Dong. Big Earth Data: a practice of sustainability science to achieve the Sustainable Development Goals. SCIENCE BULLETIN[J]. 2021, 66(11): 1050-1053, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7059746&detailType=1.
[43] Fang Chen, Huicong Jia, Enyu Du, Lei Wang, Ning Wang, Aqiang Yang. Spatiotemporal Variations and Risk Analysis of Chinese Typhoon Disasters. SUSTAINABILITY[J]. 2021, 13(4): https://doaj.org/article/a3c6e69b7e544b5e8fab991bbb640d51.
[44] 郭华东, 陈方, 孙中昶, 刘洁, 梁栋. 地球大数据:促进可持续发展目标实现的创新实践. 科学通报:英文版[J]. 2021, 66(11): 1050-1053, http://lib.cqvip.com/Qikan/Article/Detail?id=7104892337.
[45] Yu, Bo, Chen, Fang, Xu, Chong, Wang, Lei, Wang, Ning. Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions. REMOTE SENSING[J]. 2021, 13(16): http://dx.doi.org/10.3390/rs13163158.
[46] 郭华东, 梁栋, 陈方, 孙中昶, 刘洁. 地球大数据促进联合国可持续发展目标实现. 新华文摘[J]. 2021, 138-140, http://lib.cqvip.com/Qikan/Article/Detail?id=7106071017.
[47] Fang Chen, Huicong Jia, Chuanrong Zhang. A Comprehensive Method for Evaluating Marine Disaster Risk Reduction Capacity in China. SUSTAINABILITY[J]. 2020, 12(3): https://doaj.org/article/a189fb8b5497425f8fa4514539b351a7.
[48] He, Yuanhuizi, Chen, Fang, Jia, Huicong, Wang, Lei, Bondur, Valery G. Different Drought Legacies of Rain-Fed and Irrigated Croplands in a Typical Russian Agricultural Region. REMOTE SENSING[J]. 2020, 12(11): https://doaj.org/article/a96292b50f0d419eb34502ba7f568c19.
[49] Zhang, Meimei, Zhao, Hang, Chen, Fang, Zeng, Jiangyuan. Evaluation of effective spectral features for glacial lake mapping by using Landsat-8 OLI imagery. JOURNAL OF MOUNTAIN SCIENCE[J]. 2020, 17(11): 2707-2723, http://lib.cqvip.com/Qikan/Article/Detail?id=7103340741.
[50] Zhang, Meimei, Chen, Fang, Tian, Bangsen, Liang, Dong, Yang, Aqiang. Characterization of Kyagar Glacier and Lake Outburst Floods in 2018 Based on Time-Series Sentinel-1A Data. WATER[J]. 2020, 12(1): https://doaj.org/article/b3cacb3026f742b7902f08dcb50b3443.
[51] 陈方. A comprehensive method for evaluating regional marine disaster reduction capability in China. Sustainability. 2020, [52] Yu, Bo, Dong, Ying, Chen, Fang, Wang, Yu. Economy Estimation of Mainland China at County-Level Based on Landsat Images and Multi-Task Deep Learning Framework. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING[J]. 2020, 86(2): 99-105, http://dx.doi.org/10.14358/PERS.86.2.99.
[53] 于博, 陈方, 杨阿强. “一带一路”空间减灾研究与发展. 科技导报[J]. 2020, 38(16): 53-57, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=KJDB202016008&v=MTY1NjJmUGJMRzRITkhOcVk5RmJJUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3VmWnVackZ5M2xVTHZKTGk=.
[54] 殷针针, 陈方, 林政阳, 杨阿强, 李斌. 基于FY-3D MERSI数据的火点识别方法研究. 遥感技术与应用[J]. 2020, 35(5): 1099-1108, http://lib.cqvip.com/Qikan/Article/Detail?id=7103380921.
[55] Chen, Yu, Wei, Yongming, Wang, Qinjun, Chen, Fang, Lu, Chunyan, Lei, Shaohua. Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach. REMOTE SENSING[J]. 2020, 12(17): https://doaj.org/article/0c13350c417a4a60ac4bc131958d0936.
[56] Zhang, Meimei, Chen, Fang, Tian, Bangsen, Liang, Dong, Yang, Aqiang. High-Frequency Glacial Lake Mapping Using Time Series of Sentinel-1A/1B SAR Imagery: An Assessment for the Southeastern Tibetan Plateau. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH[J]. 2020, 17(3): https://doaj.org/article/74481d52fad54910b83024126b485b2d.
[57] Wang, Ning, Chen, Fang, Yu, Bo, Qin, Yuchu. Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING[J]. 2020, 162: 137-147, http://dx.doi.org/10.1016/j.isprsjprs.2020.02.012.
[58] 孙国庆, 陈方, 于博, 王宁. 2001—2017年尼泊尔中部地区滑坡变化及其影响因素. 中国科学院大学学报[J]. 2020, 37(3): 308-316, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=ZKYB202003003&v=MDY5NDNVUjdxZVorUnZGaXJoVXIzTFB5YlNiTEc0SE5ITXJJOUZaNFI4ZVgxTHV4WVM3RGgxVDNxVHJXTTFGckM=.
[59] 于博, 陈方, 杨阿强. “一带一路”空间减灾研究与发展. 科技导报. 2020, 53-57, [[["https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=KJDB202016008&v=MTY1NjJmUGJMRzRITkhOcVk5RmJJUjhlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VSN3VmWnVackZ5M2xVTHZKTGk="]]].
[60] Zhang, Meimei, Chen, Fang, Liang, Dong, Tian, Bangsen, Yang, Aqiang. Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan. SUSTAINABILITY[J]. 2020, 12(14): https://doaj.org/article/d9983161da19447f961ab22cadd9d71e.
[61] Yu, Bo, Chen, Fang, Xu, Chong. Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015. COMPUTERS & GEOSCIENCES[J]. 2020, 135: http://dx.doi.org/10.1016/j.cageo.2019.104388.
[62] Jia, Huicong, Chen, Fang, Zhang, Jing, Du, Enyu. Vulnerability Analysis to Drought Based on Remote Sensing Indexes. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH[J]. 2020, 17(20): https://doaj.org/article/404d97be429849c18bb70082f2382597.
[63] Chen, Fang, Yu, Bo. Earthquake-Induced Building Damage Mapping Based on Multi-Task Deep Learning Framework. IEEE ACCESS[J]. 2019, 7: 181396-181404, https://doaj.org/article/f0f0e1dbed21463a97ff98fff09b8bb9.
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发表著作
(1) 全球变化科学卫星, 科学出版社, 2014-06, 第 4 作者
(2) 地球大数据支撑可持续发展目标报告(2019), 科学出版社, 2019-12, 第 3 作者

科研活动

   
科研项目
( 1 ) 中国科学院“****”, 负责人, 中国科学院计划, 2013-01--2017-06
( 2 ) 高分减灾监测与评估信息服务应用示范系统(一期)项目减灾应用产品检验与评价, 负责人, 国家任务, 2014-08--2017-08
( 3 ) 综合自然和人类活动影响的土地利用变化遥感监测研究, 负责人, 国家任务, 2017-10--2020-09
( 4 ) 应对气候变化的综合模型系统研究-以减轻灾害风险为例, 负责人, 中国科学院计划, 2018-01--2020-12
( 5 ) 一带一路地球大数据分析与决策支持系统, 负责人, 中国科学院计划, 2018-01--2022-12
( 6 ) 基于极轨卫星与静止轨道卫星数据的火点联合反演研究, 负责人, 国家任务, 2019-01--2022-12
参与会议
(1)Integrated spatial data for scientific research   Chen, F., G. Q. Li, H. D. Guo, and J. B. Xie   2012-10-28
(2)空间技术与科学减灾   2012应急管理(广东)高层论坛暨国际应急管理学会(TIEMS)中国委员会第三届年会   郭华东,陈方   2012-07-12
(3)Assessing the Success of Post-fire Reseeding in the Semiarid Rangelands Using Integrated Remote Sensing and GIS Techniques   Chen, F., K. T. Weber, and J. L. Schnase   2011-03-21

指导学生

已指导学生

赵航  硕士研究生  070503-地图学与地理信息系统  

孙国庆  硕士研究生  085208-电子与通信工程  

林政阳  博士研究生  070503-地图学与地理信息系统  

殷针针  硕士研究生  085208-电子与通信工程  

王宁  博士研究生  070503-地图学与地理信息系统  

现指导学生

王金晓  博士研究生  070503-地图学与地理信息系统  

杜恩宇  博士研究生  070503-地图学与地理信息系统  

刘泰昌  博士研究生  070503-地图学与地理信息系统  

高梦洁  博士研究生  070503-地图学与地理信息系统  

官为贵  博士研究生  070503-地图学与地理信息系统  

张仲  硕士研究生  085700-资源与环境