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陈方 正高级 (chenfang@radi.ac.cn)    

星空网页版登录入口计算机与信息安全学院    

遥感图像处理;信息与信号处理;;

个人简介

陈方,中国科学院空天信息创新研究院研究员,博士生导师。中国科学院“百人计划”引进海外杰出人才、中国科学院大学岗位教授(A类)。现任可持续发展大数据国际研究中心常务副主任、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。担任国家减灾委员会专家委员会委员、国际科学理事会(ISC)灾害风险综合研究计划(IRDR)中委会秘书长、世界工程组织联合会(WFEO)减灾委员会副主席、国际数字地球学会(ISDE)中委会数字减灾专委会主任委员等。任Frontiers in Environmental Science副主编、Remote Sensing等期刊编委、2019及2020年《地球大数据支撑可持续发展目标报告》副主编。主要从事灾害遥感及地球大数据支撑可持续发展目标研究,发表SCI论文100余篇(第一/通讯作者71篇)、出版中英文著作6部。主持了国家重点研发计划项目、国家自然科学基金项目、中科院战略先导专项课题等10 余国家和部委重大科研项目。获联合国“全球脉动”计划奖项等国际及省部级奖项4项,2014年当选发展中国家科学院(TWAS)青年通讯院士。

教育背景

2003/9-2007/7,中国科学院遥感应用研究所,地图学与地理信息系统,博士
1999/9-2003/7,西北工业大学航海工程学院,环境科学,学士

工作经历

2021.09-至今,可持续发展大数据国际研究中心,常务副主任
2021.08-至今,中国科学院空天信息创新研究院五室,主任
2020.03-2021.07,中国科学院空天信息创新研究院,研究员
2019.03-至今,中国科学院数字地球重点实验室,副主任
2015.10-至今,中国科学院大学,岗位教授(A类)
2013.04-至今,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(百人计划)
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

主要荣誉
学术任职经历
2019-至今,国家减灾委员会办公室“灾害风险调查和重点隐患排查工程”技术组,专家;
2018-至今,中科院战略先导专项地球大数据科学工程SDG工作组,副组长;
2018-至今,Frontiers in Earth Science,编委;
2018-至今,Progress in Disaster Science,编委;
2017-至今,国际数字地球学会(ISDE)中委会数字减灾专委会,主任委员,;
2017-至今,数字丝路国际科学计划(DBAR)减灾工作组,联合主席;
2016-至今,世界工程组织联合会(WFEO)减灾委员会,委员;
2015-至今,国际科学理事会灾害风险综合研究计划(IRDR)中委会,秘书长;
2014-至今,Oxford Research Encyclopedia Natural Hazard Science,编委;

2014-至今,国际地球科学与遥感大会(IGRASS),科学委员会委员。


获奖及荣誉
2014,陈方(1/1),发展中国家科学院(TWAS)青年通讯院士 
2014,CHEN Fang(17/22),联合国“全球脉动”奖项:“对地观测大数据应对气候变化” 
2020,陈方(6/10), 2019年度国家发展和改革委员会优秀研究成果,省部级一等奖
2021,陈方(1/10),北斗+遥感一体化地质灾害智能监测关键技术研究与应用, 中国卫星导航定位协会, 科技进步, 省部二等奖

学术活动
教学信息
主要论文
[103] 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
[102] Jia H, Chen F, Zhang C, Dong J, DU E, Wang L, 2022. High emissions could increase the future risk of maize drought in China by 60–70%. Science of The Total Environment, 2022: 158474. https://doi.org/10.1016/j.scitotenv.2022.158474
[101] Wang L, Yu B, Chen F, Wang N, Li C* (2022). An Analysis of Eco–Environmental Changes in Rural Areas in China Based on Sustainability Indicators between 2000 and 2015. Land, 11(8): 1321. https://doi.org/10.3390/land11081321
[100] 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
[99] 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
[98] Lu LL*, Qureshi S, Li Q, Chen F, Shu L (2022). Monitoring and projecting sustainable transitions in urban land use using remote sensing and scenario-based modelling in a coastal megacity. Ocean & Coastal Management, 224, 106201. https://doi.org/10.1016/j.ocecoaman.2022.106201 
[97] Baqa MF, Lu L*, Chen F, Nawaz-ul-Huda S, Pan L, Tariq A, Qureshi S, Li B, Li Q (2022). Characterizing Spatiotemporal Variations in the Urban Thermal Environment Related to Land Cover Changes in Karachi, Pakistan, from 2000 to 2020. Remote Sensing, 14(9): 2164. https://doi.org/10.3390/rs14092164
[96] Wang J X, Chen F*, Zhang M M, and B Yu (2022). NAU-Net: A New Deep Learning Framework in Glacial Lake Detection. IEEE Geoscience and Remote Sensing Letters, 19: 2000905. https://doi.org/10.1109/LGRS.2022.3165045 
[95] Gao X, Wu M*, Niu Z, and Chen F (2022). Global Identification of Unelectrified Built-Up Areas by Remote Sensing. Remote Sensing, 14(8), 1941. https://doi.org/10.3390/rs14081941
[94] Gao X, Wu M*, Gao J, Han L, Niu Z, and Chen F (2022). Modelling Electricity Consumption in Cambodia Based on Remote Sensing Night-Light Images. Applied Sciences, 12, 3971. https://doi.org/10.3390/app12083971
[93] Wang N, Chen F, Yu B, and L Wang* (2022). A Strategy of Parallel SLIC Superpixels for Handling Large-Scale Images over Apache Spark, Remote Sensing, 14, 1568. https://doi.org/10.3390/rs14071568 
[92] Jia H C, Chen F*, Pan D H, Du E Y, Wang L, Wang N, and A Q Yang. (2021). Flood risk management in the Yangtze River basin —Comparison of 1998 and 2020 events. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2021.102724
[91] Chen F*, Wang N, Yu B, and L Wang (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
[90] Wang J, Chen F*, Zhang M, Yu B (2021). ACFNet: A Feature Fusion Network for Glacial Lake Extraction Based on Optical and Synthetic Aperture Radar Images. Remote Sensing, 13(24):5091. https://doi.org/10.3390/rs13245091
[89] Chen Y, Li L*, Whiting M, Chen F, Sun Z C, Song K S, and Q J Wang (2021). Convolutional neural network model for soil moisture prediction and its transferability analysis based on laboratory Vis-NIR spectral data. International Journal of Applied Earth Observations and Geoinformation,104, 102550. https://doi.org/10.1016/j.jag.2021.102550
[88] Yu B, Chen F, Dong Y*, Wang L, Wang N, Yang A. (2021). MSegnet, a practical network for building detection from high spatial resolution images. Photogrammetric Engineering & Remote Sensing, 87(12): 901-906. https://doi.org/10.14358/PERS.21-00016R2
[87] Yu B, Chen F, Wang Y*, Wang N, Yang X Y, Ma P F, Zhou C Y, and Y H Zhang (2021). Res2-Unet+, a practical oil tank detection network for large-scale high spatial resolution images. Remote Sensing, 13(23), 4740. https://doi.org/10.3390/rs13234740
[86] Zhao H, Zhang M M*, and F Chen (2021). GAN-GL: Generative Adversarial Networks for Glacial Lake Mapping. Remote Sensing, 13, 4728. https://doi.org/10.3390/rs13224728
[85] Jia H C, Chen F*, and E Y Du (2021). Adaptation to Disaster Risk-An Overview. International Journal of Environmental Research and Public Health, 18, 11187. https://doi.org/10.3390/ijerph182111187
[84] Zhang M, Chen F*, Zhao H, Wang J X, and N Wang (2021). Recent changes of glacial lakes in the High Mountain region of Asia and its potential controlling factors analysis. Remote Sensing, 13(18), 3757. https://doi.org/10.3390/rs13183757
[83] Wang L, He Y#, Zhang Y L, Wang L, Jia H C, Zhou Q, Yu B, Zhang M M, Lin Z Y, and F Chen* (2021). Disaster Assessment for the “Belt and Road” Region based on SDG landmarks. Big Earth Data. Big Earth Data.  http://doi.org/10.1080/20964471.2021.1901359 -ESCI
[82] Yu B, Chen F*, Xu C, Wang L, and N Wang (2021). Matrix SegNet: A Practical Deep Learning Framework for Landslide Mapping from Images of Different Areas with Different Spatial Resolutions. Remote Sensing,13(16), 3158. https://doi.org/10.3390/rs13163158 
[81] Chen F, Haritashya U K, Prakash M, and Lei Wang*(2021). Editorial: Big Earth Data for Disaster Risk Reduction. Frontiers in Earth Science. 9:727547. https://doi.org/10.3389/feart.2021.727547
[80] Guo H D*, Liang D, Chen F, and Z Shirazi (2021). Innovative Approaches to the Sustainable Development Goals using Big Earth Data. Big Earth Data. 5, 263-276. https://doi.org/10.1080/20964471.2021.1939989
[79] Baqa M F, Chen F, Lu L L*, Qureshi S, Tariq A, Wang S Y, Jing L H, Hamza S, and Q T Li (2021). 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, 10, 700. https://doi.org/10.3390/land10070700
[78] Chen F* (2021). 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, 13, 2429. https://doi.org/10.3390/rs13132429
[77] Guo H D*, Chen F*, Sun Z C, Liu J, and D Liang (2021). Big Earth Data: a practice of sustainability science to achieve the Sustainable Development Goals. Science Bulletin, 66:1050-1053. https://doi.org/10.1016/j.scib.2021.01.012 
[76] Chen F*, Wang N, Yu B, Qin Y C, and L Wang (2021). A Strategy of Parallel Seed-Based Image Segmentation Algorithms for Handling Massive Image Tiles over the Spark Platform. Remote Sensing, 13, 1969.  https://doi.org/10.3390/rs13101969 
[75] Chen F, Zhang M M*, Guo H D, Allen S, Kargel J, Haritashya U, and S Watson (2021). Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017. Earth System Science Data, 13, 741-766. https://doi.org/10.5194/essd-13-741-2021
[74] Chen F, Jia H C*, Du E Y, Wang L, Wang N, and A Q Yang (2021). Spatiotemporal Variations and Risk Analysis of Chinese Typhoon Disasters. Sustainability, 13, 2278. https://doi.org/10.3390/su13042278
[73] Zhang, M M, Zhao H*, Chen F, and J Y Zeng (2020). Evaluation of Effective Spectral Features for Glacial Lake Mapping by Using Landsat-8 OLI Imagery. Journal of Mountain Science, 17, 2707-2723. https://doi.org/10.1007/s11629-020-6255-4
[72] Jia H C, Chen F*, and E Y Du (2020). Vulnerability Analysis to Drought Based on Remote Sensing Indexes. International Journal of Environmental Research and Public Health, 17(20),7660. https://doi.org/10.3390/ijerph17207660
[71] Chen Y*, Wei Y M, Wang Q J, Chen F, Lu C Y, and S H Lei (2020). Mapping Post-Earthquake Landslide Susceptibility: A U-Net Like Approach. Remote Sensing.12(17), 2767.  https://doi.org/10.3390/rs12172767
[70] Zhang M M, Chen F*, Liang D, Tian B S, and A Q Yang (2020). Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan. Sustainability, 12, 5784.  https://doi.org/10.3390/su12145784
[69] He Y, Chen F*, Jia H C, Wang L, and V Bondur (2020). Different drought legacies of rain-fed and irrigated croplands in a typical Russian agricultural region. Remote Sensing, 12, 1700. https://doi.org/10.3390/rs12111700
[68] Wang N, Chen F*, Yu B, and Y C Qin (2020). 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, 162, 137-147. https://doi.org/10.1016/j.isprsjprs.2020.02.012
[67] Zhang M M, Chen F*, Tian B S, Liang D, and A Q Yang (2020). High-frequency glacial lake mapping using time series of Sentinel-1A/1B SAR imagery: An assessment for southeastern Tibetan Plateau. International Journal of Environmental Research and Public Health, 17(3), 1072. https://doi.org/10.3390/ijerph17031072
[66] Yu B, Dong Y, Chen F*, and Y Wang (2020). Economy estimation of Mainland China at county-level based on Landsat images and multi-task deep learning framework. Photogrammetric Engineering & Remote Sensing, 86, 99-105. http://doi.org/10.14358/PERS.86.2.99
[65] Yu B, and F Chen* (2020). Landslide detection based on contour-based deep learning framework in case of national scale of Nepal in 2015. Computers & Geosciences, 135, 104388. https://doi.org/10.1016/j.cageo.2019.104388 
[64] Chen F*, Jia H C, and C R Zhang (2020). A Comprehensive Method for Evaluating Marine Disaster Risk Reduction Capacity in China. Sustainability, 12(3), 825. https://doi.org/10.3390/su12030825
[63] Zhang M M, Chen F*, Tian B S, Liang D, and A Q Yang (2020). Characterization of Kyagar Glacier and Lake Outburst Floods in 2018 Based on Time-Series Sentinel-1A Data. Water, 12(1), 184. https://doi.org/10.3390/w12010184
[62] Jia H C, Chen F*, and D H Pan (2019). Disaster Chain Analysis of Avalanche and Landslide and the River Blocking Dam of the Yarlung Zangbo River in Milin County of Tibet on October 17 and 29, 2018. International Journal of Environmental Research and Public Health, 16(23), 4707. https://doi.org/10.3390/ijerph16234707
[61] Lin Z Y, Chen F*, Li B, Yu B, Jia H C, Zhang M M, and D Liang (2019). A contextual and multitemporal active-fire detection algorithm based on FengYun-2G S-VISSR data. IEEE Transactions on Geoscience and Remote Sensing, 57, 8840-8852. http://doi.org/10.1109/TGRS.2019.2923248
[60] He Y, Wang C, Chen F*, Jia H C, Liang D, and A Q Yang (2019). Feature comparison and optimization for 30-m winter wheat mapping based on Landsat-8 and Sentinel-2 data using random forest algorithm. Remote Sensing, 11, 535. https://doi.org/10.3390/rs11050535
[59] Yang H P, Yu B*, Luo J C, and F Chen (2019). Semantic segmentation of high spatial resolution images with deep neural networks. GIScience & Remote Sensing, 56, 749-768. https://doi.org/10.1080/15481603.2018.1564499
[58] Liu J, Xu Z W, Chen F L, Chen F, and D Zhang (2019). Flood Hazard Mapping and Assessment on the Angkor World Heritage Site, Cambodia. Remote Sensing, 11, 98. https://doi.org/10.3390/rs11010098
[57] Chen F, Jia H C*, and D H Pan (2019). Risk assessment of maize drought in China based on physical vulnerability. Journal of Food Quality, Article ID 9392769.https://doi.org/10.1155/2019/9392769
[56] Zhang M M, Chen F*, Tian B S, and D Liang (2019). Using a phase congruency-based detector for glacial lake segmentation in high-temporal resolution Sentinel-1A/1B data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 2771-2780. http://doi.org/10.1109/JSTARS.2019.2900442
[55] Chen F, and B Yu* (2019). Earthquake-induced building damage mapping based on multi-task deep learning framework. IEEE ACCESS, 7: 181396-181404. https://doi.org/10.1109/ACCESS.2019.2958983
[54] Yu B, Chen F*, and H Y Chen (2019). NPP estimation using random forest and impact feature variable importance analysis. Journal of Spatial Science, 64, 173-192. https://doi.org/10.1080/14498596.2017.1367331
[53] Zhang M M, Chen F*, Tian B S, and D Liang (2019). Multi-temporal SAR image classification of coastal plain wetlands using a new feature selection method and random forests. Remote Sensing Letters. 10, 312-321. https://doi.org/10.1080/2150704X.2018.1528397
[52] Jia H C, Chen F*, Pan D H, and Zhang C R (2018). The impact of earthquake on poverty: learning from the 12 May 2008. Sustainability, 10,4704. https://doi.org/10.3390/su10124704
[51] Lin Z Y, Chen F*, Niu Z, Li B, Yu B, Jia H C, and M M Zhang (2018). An active fire detection algorithm based on multi-temporal FengYun-3C VIRR data. Remote Sensing of Environment, 211(15), 376-387. https://doi.org/10.1016/j.rse.2018.04.027
[50] Yu B, Chen F*, et al (2018). Analysis of satellite-derived landslide at Central Nepal from 2011 to 2016. Environmental Earth Sciences, 77, 331. https://doi.org/10.1007/s12665-018-7516-1
[49] Zhang M M, Chen F*, and B S Tian (2018). Glacial lake detection from GaoFen-2 multispectral imagery using an integrated nonlocal active contour approach: a case study of the Altai Mountains, Northern Xinjiang Province. Water, 10, 455. https://doi.org/10.3390/w10040455
[48] Zhang M M, Chen F*, Tian B S, et al (2018). An automated method for glacial lake mapping in High Mountain Asia using Landsat 8 imagery. Journal of Mountain Science. 15(1),13-24. https://doi.org/10.1007/s11629-017-4518-5
[47] Guo H D, Liu J, Qiu Y, Menenti M, Chen F, and et al. (2018). The Digital Belt and Road program in support of regional sustainability. International Journal of Digital Earth, 11, 657-669. https://doi.org/10.1080/17538947.2018.1471790
[46] Chen F, Yu B*, et al (2018). A practical trial of landslide detection from single-temporal Landsat8 images using contour-based proposals and random forest: a case study of national Nepal. Landslides, 15(3),453-464. http://doi.org/10.1007/s10346-017-0884-x
[45] Yu B, Yang L, and F Chen*(2018). Semantic segmentation for high spatial resolution remote sensing images based on convolution neural network and pyramid pooling module. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 3252 – 3261. http://doi.org/10.1109/JSTARS.2018.2860989
[44] Zhao H, Chen F*, and M M Zhang (2018). A systematic extraction approach for mapping glacial lakes in high mountain regions of Asia. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 2788-2799. http://doi.org/10.1109/JSTARS.2018.2846551
[43] Chen F, Yu B*, Xu C, and B Li (2017). Landslide detection using probability regression, a case study of Wenchuan, northwest of Chengdu. Applied Geography, 89, 32-40. https://doi.org/10.1016/j.apgeog.2017.10.001
[42] Yu B, Chen F*, et al (2017). Impact of biomass fires on tropospheric nitrogen dioxide in South and Southeast Asia for the years from 2005 to 2014. Applied Geography, 86, 92-101. https://doi.org/10.1016/j.apgeog.2017.06.024
[41] Yu B, Lane I, and F Chen* (2017). Reconstruction network for single-face detection and landmark localization. Optical and Quantum Electronics, 49, Article number: 282 http://doi.org/10.1007/s11082-017-1118-0
[40] Shan T C, Wang C L, Chen F*, et al (2017). A Burned Area Mapping Algorithm for Chinese FengYun-3 MERSI Satellite Data. Remote Sensing, 9, 736. http://doi.org/10.3390/rs9070736
[39] Yu B, Chen F*, Muhammad S, Li B, Wang L, M Q Wu (2017). A simple but effective landslide detection method based on image saliency. Photogrammetric Engineering & Remote Sensing, 83, 351-363. https://doi.org/10.14358/PERS.83.5.351
[38] Yu B, and F Chen* (2017). A new technique for landslide mapping from a large-scale remote sensed image: A case study of Central Nepal. Computers & Geosciences, 100, 115-124. https://doi.org/10.1016/j.cageo.2016.12.007
[37] Yu B, Chen F*, Muhammad S, and Z Shirazi (2017). Factor Rankings in Influencing Spatial Pattern of Global Net Primary Production from 2005 to 2011. Canadian Journal of Remote Sensing, 43: 208-214. https://doi.org/10.1080/07038992.2017.1291337 
[36] Yu B, and F Chen* (2017). Fire risk prediction using remote sensed products: A case of Cambodia. Photogrammetric Engineering & Remote Sensing, 83, 19-25. https://doi.org/10.14358/PERS.83.1.19
[35] Li B, Chen F*, Xu F, and X R Wang (2017). Changes of the time-varying percentiles of daily extreme temperature in China. Theoretical and Applied Climatology, 130, 1035-1041. https://doi.org/10.1007%2Fs00704-016-1938-z
[34] Chen F, Zhang M M*, et al (2017). Extraction of Glacial Lake Outlines in Tibet Plateau Using Landsat 8 Imagery and Google Earth Engine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9), 4002 – 4009. http://doi.org/10.1109/JSTARS.2017.2705718
[33] Shirazi Z, Guo H D, Chen F*, Yu B, and B Li (2017). Assessing the impact of climatic parameters and their inter-annual seasonal variability on fire activity using time series satellite products in south China. Natural Hazards, 85, 1393-1416. http://doi.org/10.1007/s11069-016-2631-3
[32] Lin Z Y, Chen F*, et al (2017). FengYun-3C VIRR Active Fire Monitoring: Algorithm Description and Initial Assessment Using MODIS and Landsat Data. IEEE Transactions on Geoscience and Remote Sensing, 55(11), 6420 – 6430. http://doi.org/10.1109/TGRS.2017.2728103
[31] Kang J, Wang L, Chen F, and Z Niu (2017). Identifying tree crown areas in undulating eucalyptus plantations using JSEG multi-scale segmentation and unmanned aerial vehicle near-infrared imagery. International Journal of Remote Sensing, 38, 2296-2312. https://doi.org/10.1080/01431161.2016.1253900
[30] Li B, Chen F*, and X M Liu (2017). Sensitivity of the Penman–Monteith reference evapotranspiration to sunshine duration in the Upper Mekong River Basin. Hydrological Sciences Journal, 62, 830-842. https://doi.org/10.1080/02626667.2016.1243286
[29] Wu Q C, Chen F*, Wang C L, Li B, Wu W, Liu S C, and F Xu (2016). Estimation of carbon emissions from biomass burning based on parameters retrieved. Journal of Remote Sensing, 20, 11-26. - EI
[28] Yu B, and F Chen* (2016). Large-scale landslide detection for practical use based on image saliency. Journal of Applied Remote Sensing, 10: 045013. https://doi.org/10.1117/1.JRS.10.045013 
[27] Yu B, and F Chen* (2016). The global impact factors of net primary production in different land cover types from 2005 to 2011. SpringerPlus, 5, 1-13. https://doi.org/10.1186/s40064-016-2910-1
[26] Jia H C, Chen F*, Fan Y D, and D H Pan (2016). Comparison of two large earthquakes in China: The Ms 6.6 Yunnan Jinggu Earthquake and the Ms 6.5 Yunnan Ludian Earthquake in 2014. International Journal of Disaster Risk Reduction, 16, 99-107. https://doi.org/10.1016/j.ijdrr.2016.01.006 
[25] Yu B, Lane I, and F Chen* (2016). 3D face detection via reconstruction over hierarchical features for single face situations. International Journal of Pattern Recognition and Artificial Intelligence, 30, 1655013. https://doi.org/10.1142/S0218001416550132
[24] Li B, Chen F*, and H D Guo (2015). Regional complexity in trends of potential evapotranspiration and its driving factors in the Upper Mekong River Basin. Quaternary International,380-381, 83-94. https://doi.org/10.1016/j.quaint.2014.12.052
[23] Wu MQ, Muhammad S, Chen F, Niu Z, and C Y Wang (2015). Combining remote sensing and eddy covariance data to monitor the gross primary production of an estuarine wetland ecosystem in East China. Environmental Science Processes & Impacts, 17, 753-762. https://doi.org/10.1039/c5em00061k
[22] Li B, and F Chen* (2015). Using the aridity index to assess recent climate change: a case study of the Lancang River Basin, China. Stochastic Environmental Research and Risk Assessment, 29, 1071-1083. https://doi.org/10.1007/s00477-014-0998-9
[21] Guo H D, Wang L Z, Chen F, and D Liang (2014). Scientific big data and Digital Earth. Chinese Science Bulletin, 59: 5066-5073. https://doi.org/10.1007/s11434-014-0645-3
[20] Hao P, Wang L, Niu Z, Aablikim A, Huang N, Xu S G, and F Chen (2014). The Potential of Time Series Merged from Landsat-5 TM and HJ-1 CCD for Crop Classification: A Case Study for Bole and Manas Counties in Xinjiang, China. Remote Sensing, 6: 7610-7631. https://doi.org/10.3390/rs6087610
[19] Chen F L, Guo H D, Ishwaran N, Zhou W, Yang R X, Jing L H, Chen F, and H C Zeng (2014). Synthetic Aperture Radar (SAR) Interferometry for Assessing Wenchuan Earthquake (2008) Deforestation in the Sichuan Giant Panda Site. Remote Sensing, 6: 6283-6299. https://doi.org/10.3390/rs6076283
[18] Li B, Chen F*, Qin Y, and Z Shirazi (2014). Shifting trends and probability distribution of vegetation conditions over China. Remote Sensing Letters, 5: 619-626. https://doi.org/10.1080/2150704X.2014.949364
[17] Chen F*, and K T Weber (2014). Assessing the impact of seasonal precipitation and temperature on vegetation in a grass-dominated rangeland. The Rangeland Journal, 36:185-190. https://doi.org/10.1080/01431161.2013.805282
[16] Li B, Su H B, Chen F, Li H B, Zhang R H, Tian J, Chen S H, Yang Y M, and Y Rong (2014). Separation of the impact of climate change and human activity on stream flow in the upper and middle reaches of the Taoer River, northeastern China. Theoretical and Applied Climatology, 118: 271-283. http://doi.org/10.1007/s00704-013-1032-8
[15] Qin Y, Niu Z, Chen F, Li B, and Y Ban (2013). Object-based land cover change detection for cross-sensor images. International Journal of Remote Sensing, 34: 6723-6737. https://doi.org/10.1080/01431161.2013.805282
[14] Yu B, Niu Z, Wang L, Liu Y, and F Chen (2013). An unsupervised method of extracting constructions from color remote sensed image based on mean shift and neutrosophic set. Spectroscopy and Spectral Analysis, 33: 1071-1075. https://doi.org/10.3964/j.issn.1000-0593(2013)04-1071-05
[13] Li B, Su H B, Chen F, Wu J J, and J W Qi (2013). The changing characteristics of drought in China from 1982 to 2005. Natural Hazards, 68: 723-743. http://doi.org/10.1007/s11069-013-0649-3
[12] Weber K T, Chen F, Booth T, Raza M, Serr K, and B Gokhale (2013). Comparing two ground-cover measurement methodologies for semiarid rangelands. Rangeland Ecology & Management, 66:82-87. https://doi.org/10.2111/REM-D-11-00135.1
[11] Li B, Su H B, Chen F, Li S G, Tian J, Qin Y C, Zhang R H, Chen S H, Yang Y M, and Y Rong (2013). The changing pattern of droughts in the Lancang River Basin during 1960-2005. Theoretical and Applied Climatology, 11: 401-415. https://doi.org/10.1007/s00704-012-0658-2
[10] Chen F*, Weber K T, and J Schnase (2012). Assessing the success of postfire reseeding in semiarid rangelands using Terra MODIS. Rangeland Ecology & Management, 65:468-474. https://doi.org/10.2111/REM-D-11-00156.1 
[9] Tang J, Chen F, and S. S. Schwartz (2012). Assessing spatiotemporal variations of greenness in the Baltimore-Washington corridor area. Landscape and Urban Planning, 105: 296-306. https://doi.org/10.1016/j.landurbplan.2012.01.004
[8] Chen F*, Weber K T, and B. Gokhale (2011). Herbaceous biomass estimation from SPOT-5 imagery in semiarid rangelands of Idaho. GIScience & Remote Sensing, 48: 195-209. https://doi.org/10.2747/1548-1603.48.2.195
[7] Chen F*, Weber K T, Anderson J, and B. Gokhale (2011). Assessing the susceptibility of semiarid rangelands to wildfires using Terra MODIS and Landsat Thematic Mapper data. International Journal of Wildland Fire, 20: 690-701. https://doi.org/10.1071/WF10001
[6] Anderson J H, Weber K T, Gokhale B, and F Chen (2011). Intercalibration and evaluation of ResourceSat-1 and Landsat-5 NDVI. Canadian Journal of Remote Sensing, 37: 213-219. https://doi.org/10.5589/m11-032
[5] Weber K T, and F Chen (2010). Detection thresholds for rare, spectrally unique targets within semiarid rangelands. Photogrammetric Engineering & Remote Sensing, 76: 1253- 1259. https://doi.org/10.14358/PERS.76.11.1253
[4] Chen F*, Weber K T, Anderson J, and B. Gokhale (2010). Comparison of MODIS fPAR products with Landsat-5 TM-derived fPAR over semiarid rangelands of Idaho. GIScience & Remote Sensing, 47: 360- 378. https://doi.org/10.2747/1548-1603.47.3.360
[3] Chen F, and J M Tang (2009). Using spectral-shape parameters to improve linear spectral mixture analysis. International Journal of Remote Sensing, 30: 6061-6067. https://doi.org/10.1080/01431160902950871
[2] Chen F, Niu Z, Sun G Y, Wang C Y, and J Teng (2008). Using low spectral resolution images to acquire simulated hyperspectral images. International Journal of Remote Sensing, 29: 2963-2980. https://doi.org/10.1080/01431160701408410
[1] Chen F, Tang J M, and Z Niu (2008). Estimating the impact of urbanization on LAI and fPAR in the Baltimore-Washington corridor area. Canadian Journal of Remote Sensing, 34: 326-337. https://doi.org/10.5589/m08-054

学术著作
[1] 陈方等,2022;灾害遥感信息提取的理论、方法与应用,科学出版社(北京)
科研项目

[8] 2019-2022,国家自然科学基金面上项目:基于极轨卫星与静止轨道卫星数据的火点联合反演研究,57.5万元,项目负责人

[7] 2019,应急管理部风险监测何综合减灾司:灾害数据空间化处理技术与数据产品制作,30万元,项目负责人

[6] 2018-2022,中国科学院战略性先导科技专项(A类)课题:一带一路地球大数据分析与决策支持系统,3504.31万元,课题负责人

[5] 2018-2020,中国科学院国际伙伴计划项目:应对气候变化的综合模型系统研究-以减轻灾害风险为例,100万元,项目负责人

[4] 2017-2020,国家重点研发计划政府间国际科技创新合作重点专项项目:综合自然和人类活动影响的土地利用变化遥感监测研究,158万元,项目负责人

[3] 2016-2020,中国科学院对外合作重点项目:“一带一路”自然灾害风险与综合减灾国际研究计划,50万元,子课题负责人

[2] 2014-2016, 高分灾害监测与评估信息服务应用示范系统(一期):减灾应用产品检验与评价,239.5万元,项目负责人

[1] 2013-2017,中国科学院“百人计划”项目:遥感火灾分析及其对全球变化的影响研究,260万元,项目负责人

知识产权
专利
[8] 于博,陈辉,陈方,王雷;一种工业园区图像提取方法、系统、电子设备和存储介质, 2022-08-05, ZL 2021 1 1416650.0 
[7] 张美美,陈方;基于雷达遥感影像的湿芦苇提取方法, 2022-07-30, ZL 2020 1 0750007.0
[6] 陈方,单天婵,于博,李斌; 一种基于图像增强的过火区域提取方法, 2022-03-11, ZL 2018 1 0064529.8
[5] 于博,王玉,陈方,王雷; 基于高空间分辨率遥感影像的储油罐提取方法, 2022-01-25, ZL 2021 1 0504255.1
[4] 于博,陈方; 一种实用的大空间范围滑坡提取方法, 2021-08-27, ZL 2020 1 0646183.X
[3] 陈方,赵航,张美; 一种基于遥感卫星影像的高原地区冰湖提取方法, 2021-03-30, ZL 2017 1 0957162.8
[2] 于博,陈方; 一种基于遥感影像与高程数据的滑坡提取方法, 2019-07-23, ZL 2016 1 0718410.9
[1] 于博,陈方; 利用机器学习的植被净初级生产力遥感估算方法, 2019-2-19, ZL 2016 1 0719136.7
联系信息
chenfang@radi.ac.cn
常用链接