发表论文
[1] 李前景, 刘珺, 米晓飞, 杨健, 余涛. 面向对象与卷积神经网络模型的GF-6 WFV影像作物分类. 遥感学报[J]. 2021, 25(2): 549-558, http://lib.cqvip.com/Qikan/Article/Detail?id=7104323814.[2] Su, Yi, Xie, Yong, Tao, Zui, Hu, Qiaoli, Yu, Tao, Gu, Xingfa. Validation and inter-comparison of MODIS and VIIRS aerosol optical depth products against data from multiple observation networks over East China. ATMOSPHERIC ENVIRONMENT[J]. 2021, 247: http://dx.doi.org/10.1016/j.atmosenv.2021.118205.[3] Zhensheng Sun, Miao Liu, Peng Liu, Juan Li, Tao Yu, Xingfa Gu, Jian Yang, Xiaofei Mi, Weijia Cao, Zhouwei Zhang. SAR Image Classification Using Fully Connected Conditional Random Fields Combined with Deep Learning and Superpixel Boundary Constraint. REMOTE SENSING[J]. 2021, 13(2): https://doaj.org/article/69755c514bd74d6498525c2362a3ecb4.[4] Dakang Wang, Tao Yu, Yan Liu, Xingfa Gu, Xiaofei Mi, Shuaiyi Shi, Meihong Ma, Xinran Chen, Yin Zhang, Qixin Liu, Faisal Mumtaz, Yulin Zhan. Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature. REMOTE SENSING[J]. 2021, 13(2): https://doaj.org/article/059f8465570443c9a997a421625911d2.[5] Zhang, Lili, Wilson, John P, MacDonald, Beau, Zhang, Wenhao, Yu, Tao. The changing PM2.5 dynamics of global megacities based on long-term remotely sensed observations. ENVIRONMENT INTERNATIONAL[J]. 2020, 142: http://dx.doi.org/10.1016/j.envint.2020.105862.[6] Wang, Dakang, Liu, Yan, Yu, Tao, Zhang, Yin, Liu, Qixin, Chen, Xinran, Zhan, Yulin. A Method of Using WRF-Simulated Surface Temperature to Estimate Daily Evapotranspiration. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY[J]. 2020, 59(5): 901-914, http://dx.doi.org/10.1175/JAMC-D-19-0287.1.[7] Mumtaz, Faisal, Tao, Yu, de Leeuw, Gerrit, Zhao, Limin, Fan, Cheng, Elnashar, Abdelrazek, Bashir, Barjeece, Wang, Gengke, Li, LingLing, Naeem, Shahid, Arshad, Arfan. Modeling Spatio-Temporal Land Transformation and Its Associated Impacts on land Surface Temperature (LST). REMOTE SENSING[J]. 2020, 12(18): https://doaj.org/article/b0195f322d374bfdb6f6b6e3ecdcb1e6.[8] Wang, Chunmei, Xie, Qiuxia, Gu, Xingfa, Yu, Tao, Meng, Qingyan, Zhou, Xiang, Han, Leran, Zhan, Yulin. Soil moisture estimation using Bayesian Maximum Entropy algorithm from FY3-B, MODIS and ASTER GDEM remote-sensing data in a maize region of HeBei province, China. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2020, 41(18): 7018-7041, https://www.webofscience.com/wos/woscc/full-record/WOS:000544782400001.[9] Leran Han, Chunmei Wang, Qiyue Liu, Gengke Wang, Tao Yu, Xingfa Gu, Yunzhou Zhang. Soil Moisture Mapping Based on Multi-Source Fusion of Optical, Near-Infrared, Thermal Infrared, and Digital Elevation Model Data via the Bayesian Maximum Entropy Framework. REMOTE SENSING[J]. 2020, 12(23): https://doaj.org/article/7f90094a5c40472c8e4419d9ce3a42d8.[10] Cao, Hongtao, Gu, Xingfa, Wei, Xiangqin, Yu, Tao, Zhang, Haifeng. Lookup Table Approach for Radiometric Calibration of Miniaturized Multispectral Camera Mounted on an Unmanned Aerial Vehicle. REMOTE SENSING[J]. 2020, 12(24): https://doaj.org/article/4986bf6f4bad48de9ea52c74cd6b8986.[11] Leran Han, Chunmei Wang, Tao Yu, Xingfa Gu, Qiyue Liu. High-Precision Soil Moisture Mapping Based on Multi-Model Coupling and Background Knowledge, Over Vegetated Areas Using Chinese GF-3 and GF-1 Satellite Data. REMOTE SENSING[J]. 2020, 12(13): https://doaj.org/article/b7f79adc11634ba084720666862b07b5.[12] Wang, Dakang, Zhan, Yulin, Yu, Tao, Liu, Yan, Jin, Xiaomei, Ren, Xinyu, Chen, Xinran, Liu, Qixin. Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration. WATER[J]. 2020, 12(1): https://www.webofscience.com/wos/woscc/full-record/WOS:000519847200009.[13] Liu, Miao, Yu, Tao, Gu, Xingfa, Sun, Zhensheng, Yang, Jian, Zhang, Zhouwei, Mi, Xiaofei, Cao, Weijia, Li, Juan. The Impact of Spatial Resolution on the Classification of Vegetation Types in Highly Fragmented Planting Areas Based on Unmanned Aerial Vehicle Hyperspectral Images. REMOTE SENSING[J]. 2020, 12(1): https://doaj.org/article/9689c180d92540a79438804a0a101a79.[14] Chen, Xinran, Zhan, Yulin, Liu, Yan, Gu, Xingfa, Yu, Tao, Wang, Dakang, Liu, Qixin, Zhang, Yin, Zhang, Yunzhou. Improving the Classification Accuracy of Annual Crops Using Time Series of Temperature and Vegetation Indices. REMOTE SENSING[J]. 2020, 12(19): https://doaj.org/article/66fa88bae54a4b0794170b70bb4691fc.[15] Mi, Xiaofei, Yu, Tao, Yang, Jian, Lai, Jibao, Zhang, Zhouwei, Zhang, Yazhou, Zhan, Yulin. Estimating Pylon Height Using Differences in Shadows Between GF-2 Images. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING[J]. 2019, 47(2): 279-288, http://dx.doi.org/10.1007/s12524-018-0928-2.[16] Liu, Qiyue, Yu, Tao, Zhang, Wenhao. Validation of GaoFen-1 Satellite Geometric Products Based on Reference Data. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING[J]. 2019, 47(8): 1331-1346, [17] Qiyue Liu, Tao Yu, Hailiang Gao. Radiometric Cross-Calibration of GF-1 PMS Sensor with a New BRDF Model. REMOTE SENSING[J]. 2019, 11(6): https://doaj.org/article/77d36a15b2874284bb63b36fbbe4d069.[18] Li, Lingling, Yu, Tao, Zhao, Limin, Zhan, Yulin, Zheng, Fengjie, Zhang, Yazhou, Mumtaz, Faisal, Wang, Chunmei. Characteristics and trend analysis of the relationship between land surface temperature and nighttime light intensity levels over China. INFRARED PHYSICS & TECHNOLOGY[J]. 2019, 97: 381-390, http://dx.doi.org/10.1016/j.infrared.2019.01.018.[19] Ren, Xinyu, Zhan, Yulin, Yu, Tao, Gu, Xingfa, Zhang, Yazhou, Wang, Dakang, Chen, Xinran. Identifying ginkgo trees using spectrum and texture time series from very high resolution satellite data. JOURNAL OF APPLIED REMOTE SENSING[J]. 2018, 12(2): [20] Zhang, Yazhou, Zhan, Yulin, Chen, Xinran, Li, LingLing, Yu, Tao. The impact of thermal image spatial enhancement on the estimation of the urban green cooling effect. INFRARED PHYSICS & TECHNOLOGY[J]. 2018, 88: 206-211, http://dx.doi.org/10.1016/j.infrared.2017.11.027.[21] Zhang Yazhou, Zhan Yulin, Yu Tao, Ren Xinyu. Urban green effects on land surface temperature caused by surface characteristics: A case study of summer Beijing metropolitan region. INFRARED PHYSICS AND TECHNOLOGY[J]. 2017, 86: 35-43, http://dx.doi.org/10.1016/j.infrared.2017.08.008.[22] Deng, Anjian, Yu, Tao, Cheng, Tianhai, Gu, Xingfa, Zheng, Fengjie, Guo, Hong. Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010-2012). ATMOSPHERE[J]. 2016, 7(9): https://doaj.org/article/cff3a43f412946d9b3d8581bb277a3e9.[23] Li Fang, Shupeng Wang, Tao Yu, Xingfa Gu, Xingying Zhang, Weihe Wang, Suling Ren. Changes in Aerosol Optical and Micro-Physical Properties over Northeast Asia from a Severe Dust Storm in April 2014. REMOTE SENSING[J]. 2016, 8(5): http://www.irgrid.ac.cn/handle/1471x/1182816.[24] 余涛. 大气气溶胶光学厚度对天基光学遥感系统成像品质的影响. 光谱学与光谱分析. 2014, [25] 王珂, 顾行发, 余涛, 林金堂, 吴桂平, 李小江. 结合光谱相似性与相位—致模型的高分辨率遥感图像分割方法. 红外与毫米波学报[J]. 2013, 73-79, http://ir.ceode.ac.cn/handle/183411/34637.[26] 徐辉, 余涛, 顾行发, 程天海, 谢东海, 刘倩. 利用分裂窗通道比辐射率遥感判识沙尘气溶胶研究. 光谱学与光谱分析[J]. 2013, 1189-1193, http://lib.cqvip.com/Qikan/Article/Detail?id=45615343.[27] Wang Ke, Gu XingFa, Yu Tao, Meng QingYan, Zhao LiMin, Feng Li. Classification of hyperspectral remote sensing images using frequency spectrum similarity. SCIENCE CHINA-TECHNOLOGICAL SCIENCES[J]. 2013, 56(4): 980-988, http://ir.ceode.ac.cn/handle/183411/29181.[28] 余涛. Comparison of LST Retrieval Algorithms between Single-Channel and Split-Windows for High-Resolution Infrared Camera.. InfraredMillim. Waves. 2011, [29] Zhao, Feng, Gu, Xingfa, Verhoef, Wout, Wang, Qiao, Yu, Tao, Liu, Qiang, Huang, Huaguo, Qin, Wenhan, Chen, Liangfu, Zhao, Huijie. A spectral directional reflectance model of row crops. REMOTE SENSING OF ENVIRONMENT[J]. 2010, 114(2): 265-285, http://dx.doi.org/10.1016/j.rse.2009.09.018.[30] 李小英, 顾行发, 余涛. In-flight MTF measurement and compensation for CBERS-02 WFI imager. International journal of remote sensing[J]. 2009, [31] 余涛. Radiometric cross-calibration of CBERS2-02 IRMSS thermal channel. InfraredMillim. Waves. 2006, [32] Yu, T, Li, XY, Zhang, Y, Zhao, F, Gu, XF, Zhu, L, Wang, PX, Min, XJ. Comparison of the influence factors on NDVI for CCD camera and WFI imager on CBERS-02. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES[J]. 2005, 48: 100-115, http://www.corc.org.cn/handle/1471x/2376982.[33] Zhang, Y, Gu, XF, Tao, Y, Zhang, YX, Chen, LF, Li, XY, Li, XW, He, LM. Absolute radiometric calibration of CBERS-02 IRMSS thermal band. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES[J]. 2005, 48: 72-90, http://ir.ceode.ac.cn/handle/183411/29676.[34] Gu Xingfa, Hanocq JeanFrancois, Marloie Olivier, Bruguier Nadine, Bosseno Roland, Yu Tao, Tian Guoliang, He Jianfeng, Li Xiaoying, Legrand Michel. Error estimation in the acquisition of maize canopy hemispherical directional brightness temperature. 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004null. 2004, 4314-4317, http://ir.ceode.ac.cn/handle/183411/31623.[35] Yu, T, Tian, GL, Zhang, Y, Gu, XF, Hanocq, JF, ieee. Modelling directional brightness temperature over a urban areas with simplified geometrical structure. IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7null. 2004, 1088-1090, [36] 余涛. Comparision of four measurement methods for acquiring maize hemispherical directional brightness temperature with a crane based thermal camera system. IGARSS 2004. 2004, [37] Gu Xingfa, Hanocq JeanFrancois, Marloie Olivier, Bruguier Nadine, Bosseno Roland, Yu Tao, Tian Guoliang, He Jianfeng, Zhang Yong, Legrand Michel Source. Relationship between component brightness temperature and geo-structure of a maize canopy. 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004null. 2004, 4042-4044, http://ir.ceode.ac.cn/handle/183411/31622.