毛克彪

毛克彪 (1977.8)，博导，研究员/教授，贺兰山特聘学者，中国农业科学院优秀青年一级人才，全国优秀科技工作者。

联系电话：010-82108769

邮件：maokebiao@126.com ; maokebiao@caas.cn

主要从事交叉学科研究和推动人工智能在地学和农学中的应用，包括农业大数据（农业灾害和粮食安全，农业气象关键参数反演：地表温度、发射率、近地表空气温度、土壤水分、大气水汽含量、蒸散发等）、农业灾害、草地生态遥感等方面的研究，发表论文150余篇（第一作者 80 余篇），SCI/EI 80余篇，个人专著 2 部，获得发明专利授权20余项，软件专利 20余项。主持和参与完成的国家级课题近 20 项。以第一人获得茅以升科技奖-北京市青年科技奖 1 项、中国产学研促进奖 1 项、中国农业科学院青年科技创新奖 1 项、中国农业科学院建院 60 周年卓越奉献奖 1 项、中国农业资源与区划学会科技进步一等奖1项、中国产学研创新成果一等奖1项和中国地理信息产业特等奖1项；研发的数据集获得全国2021年度“十大最具价值年度数据集”、“2021年度十佳数据”，研究团队被评为“全国2021年度十大最有贡献的数据团队”和“数据共享优秀科研团队”，2022年获得中国国际大数据博览会优秀成果奖1项。作为参与人获得国家科技进步二等奖 2 项、神农中华科技进步一等奖 1 项。通过灾害时空变化分析和预测，提出了新时期的“藏粮于民与粮食节约行动”建议被中央和地方采纳，并进一步提出了“三藏战略”理论和方法，得到社会各界人士认可。为应对极端事件和保障我国粮食安全，长期致力于推动“三藏战略（藏粮于民、藏粮于技和藏粮于地）”。

获得国内外授权发明专利25项，其中代表性的发明专利如下：

1. Mao Kebiao, et al., Instrument and method for monitoring the soil moisture change by using GPS ground reflection signal, Patent number: 2021105440, 2021.

2. Mao Kebiao, et al., Soil moisture inversion method based on deep learning, Patent number: 2021105982.(基于深度学习的土壤水分反演算法)

3. Mao Kebiao, et al., A High Spatial-Temporal Resolution Method for Near-Surface Air Temperature Reconstruction, Patent number: 2021105536, 2021.（高时空分辨率气温重构方法）

4. Mao Kebiao, et al., Land surface temperature estimation method based on expert knowledge model data driving and machine learning, Patent number: 2021105120, 2021. (基于深度学习的地表温度反演方法)

5. Mao Kebiao, et al., Method for Simultaneously Retrieving Surface Temperature and Emissivity from Remote Sensing Data Based on Deep Learning, Patent number: 2021105287. (利用机器学习同时反演地表温度和发射率方法)

6. Mao Kebiao, et al., Method of Retrieving Surface Temperature from Passive Microwave Remote Sensing Data AMSR-E, Patent number: 2021105233.

7. Mao Kebiao, et al., Method for Reconstructing global Surface Temperature, Patent number: 2021105817, 2021.（全球表面温度重构方法）

8. Mao Kebiao, et al., Risk Assessment Method of Winter Wheat and Summer Maize Disaster, Patent number: 2021105767.（冬小麦和夏玉米风险评估方法）

9. Mao Kebiao, et al., Method for Retrieving Land Surface Temperature from FY-3D/MERSI-2 Data, Patent number: 2021105579, 2021.(FY-3D地表温度反演算法)

10. Mao Kebiao, et al., A Simultaneous Inversion Method of Soil Moisture and Surface Temperature Based on Model-Data Driven and Deep Learning, Patent number: 2021105771. (基于深度学习同时反演地表温度和土壤水分的反演方法)

主导完成了4套数据集（气温数据集，陆面温度数据集，海温数据集）,已在国际数据平台上发布：

1. Fang Shu, Mao Kebiao*#（毛克彪）, Xia Xueqi, Wang Ping, Shi Jiancheng, M. Bateni,Sayed, Xu Tongren, Cao,Mengmeng, & Heggy,Essam (2021). A Daily near-surface Air Temperature Dataset for China from 1979-2018 (Version 1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5502275 . (中国气温数据集，已下载超过64240次)

2. Bing Zhao, Kebiao Mao*#（毛克彪）, YuLin Cai, Jiancheng Shi, Zhaoliang Li, Zhihao Qin, & Xiangjin Meng. (2019). A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003–2017 (version 1.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3528024 .（陆面温度数据集，已下载超过6530次）

3. Mengmeng cao, Kebiao Mao*#（毛克彪）, Yibo Yan, Jiancheng Shi, Han Wang, Tongren Xu, Shu Fang, & Zijin Yuan. (2021). A New Global Gridded Sea Surface Temperature Data Product Based on Multisource Data (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4419804 . （全球海面温度数据集，已下载超过5970次）

4. Xiangjin Meng, Kebiao Mao*#（毛克彪）, Fei Meng, Jiancheng Shi, Jiangyuan Zeng, Xinyi Shen, Yaokui Cui, Lingmei Jiang, & Zhonghua Guo. (2021). A fine-resolution soil moisture dataset for China in 2002~2018 (3.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.4738556 . （中国土壤水分数据集，已下载超过4660次）

发表专著和论文(*标记为通讯作者论文,#为并列第一作者)：

1. 毛克彪,基于热红外和微波数据的地表温度和土壤水分反演算法研究, 中国农业科学技术出版社, 2007.12(专著). ISBN:9787802334687.

2. 毛克彪，农业气象遥感关键参数反演算法及应用研究，中国农业科学技术出版社, 2017.10(专著). ISBN: 9787511632685.

3. Ping Wang, Kebiao Mao#*, Fei Meng, Zhihao Qin, Shu Fang, Sayed M. Bateni, A daily highest air temperature estimation method and spatial–temporal changes analysis of high temperature in China from 1979 to 2018, Geosci. Model Dev., 2022, 15, 6059–6083.

4. J. Guo, Kebiao Mao#*, Z.J. Yuan, Z Qin, T. Xu, S.M. Bateni, Y. Zhao, C. Ye, Global Food Security Assessment during 1961–2019.Sustainability 2021, 132, 1-18.

5. Z. Yuan, N. NourEldeen, Kebiao. Mao#*, Z. Qin, T. Xu, Spatiotemporal Change Analysis of Soil Moisture Based on Downscaling Technology in Africa. Water 2022, 14, 1-21.

6. Fang, S., Kebiao Mao#*, Xia, X., Wang, P., Shi, J., Bateni, S. M., Xu, T., Cao, M., and Heggy, E. Qin. Z., Dataset of daily near-surface air temperature in China from 1979 to 2018, Earth Syst. Sci. Data. 2022, 14, 1413–1432. https://essd.copernicus.org/articles/14/1413/2022/

7. Wang, H, Kebiao Mao#*, Yuan Zijin, Shi, J, Cao, M., Qin, Z., Duan, S., Tang, B., A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning, Remote Sensing of Environment, 2021, 265, 1-19.

8. Meng, X., Kebiao Mao#*, Meng, F., Shi, J., Zeng, J., Shen, X., Cui, Y., Jiang, L., and Guo, Z.: A fine-resolution soil moisture dataset for China in 2002–2018, Earth Syst. Sci. Data, 2021, 13, 3239–3261. https://doi.org/10.5194/essd-13-3239-2021.

9. Yibo Yan, Kebiao Mao#*, Xinyi Shen, Mengmeng Cao, Tongren Xu, Zhonghua Guo, Qing Bao, Evaluation of the influence of ENSO on tropical vegetation in long time series using a new indicator, Ecological Indicators, 2021,129,1-22. https://doi.org/10.1016/j.ecolind.2021.107872.

10. Cao, M., Kebiao Mao#*, Yan, Y., Shi, J., Wang, H., Xu, T., Fang, S., and Yuan, Z., A new global gridded sea surface temperature data product based on multisource data, Earth Syst. Sci. Data, 2021 13, 2111–2134, https://doi.org/10.5194/essd-13-2111-2021, 2021.

11. Mengmeng Cao, Kebiao Mao#*, Xinyi Shen, Tongren Xu , Yibo Yan, Zijin Yuan, Monitoring the Spatial and Temporal Variations in The Water Surface and Floating Algal Bloom Areas in Dongting Lake Using a Long-Term MODIS Image Time Series, Remote Sensing, 2020, 12, 3622, 1-31, doi:10.3390/rs12213622.

12. Zhao, B., Kebiao Mao#*, Y. Cai, J. Shi, Z. Li, Z. Qin, and X. Meng, A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003 – 2017, Earth Syst. Sci. Data, 2020, 12, 2555–2577.

13. Nusseiba Noureldeen, Kebiao Mao*, Alnail Mohmed, Zijin Yuan, Yanying Yang, Spatio-Temporal Drought Assessment over Sahelian Countries from 1985 to 2015, Journal of Meteorological Research, 2020, 34, 760-774.

14. Yan, Y.B., Kebiao Mao#*, Shi, J., Piao, S.L., Shen, X.Y., Dozier, J., Liu, Y., Ren, H.L, Bao, Q., Driving forces of land surface temperature anomalous changes in North America in 2002–2018, Scientific Reports, 2020, 6931(10), 1-13, https://doi.org/10.1038/s41598-020-63701-5.

15. Xinlei He, Tongren Xu, Youlong Xia, Sayed M. Bateni, Zhixia Guo, Shaomin Liu, Kebiao Mao, Yuan Zhang, Huaize Feng, Jingxue Zhao, A Bayesian Three-Cornered Hat (BTCH) Method: Improving the Terrestrial Evapotranspiration Estimation, Remote Sens. 2020, 12, 878; doi:10.3390/rs12050878.

16. Feifan Ge, Tao Yan, Lu Zhou, Yuelin Jiang, Wei Li, Yufen Fan, Yishu Wang, Kebiao Mao, Wenge Wu, Impact of sea ice decline in the Arctic Ocean on the number of extreme low-temperature days over China, Int J Climatol. 2020, 40:1421–1434.

17. NourEldeen, N., Kebiao Mao#*, Z. Yuan, X. Shen, T. Xu, and Z. Qin, Analysis of the spatiotemporal change in land surface temperature for a long-term sequence in Africa (2003–2017). Remote Sensing, 2020, 12, 488. doi: 10.3390/rs12030488.

18. Jingxue Zhao, Tongren Xu*, Jingfeng Xiao, Shaomin Liu, Kebiao Mao, Lisheng Song, Yunjun Yao, Xinlei He, Huaize Feng，Responses of Water Use Efficiency to Drought in Southwest China，Remote Sens. 2020, 12(1), 199. https://doi.org/10.3390/ rs12010199.

19. Hanwang, Kebiao Mao#*, Fengyun Mu, Jiancheng Shi, Jun Yang, Zhaoliang Li, Zhihao Qin, A Split Window Algorithm for Retrieving Land Surface Temperature from FY-3D MERSI-2 data, Remote Sensing, 2019, 11, 20183, 1-25.

20. Xiangjin Meng, Kebiao Mao#*, Fei Meng, Xinyi Shen, Tongren Xu, Mengmeng Cao, Long-term Spatiotemporal Variations in Soil Moisture in North East China Based on 1-km Resolution Downscaled Passive Microwave Soil Moisture Products, Sensors, 2019, 19, 3527, 1-18.

21. Jiancan Tan, Nusseiba NourEldeen, Kebiao Mao*, Jiancheng Shi, Zhaoliang Li, Tongren Xu，Zijin Yuan, Deep Learning Convolutional Neural Network for the Retrieval of Land Surface Temperature from AMSR2 Data in China, Sensors, 2019, 19, 2987:1-20; doi:10.3390/s19132987.

22. Kebiao Mao*, Zijin Yuan, Zhiyuan Zuo, Tongren Xu, Xinyi Shen, Chunyu Gao, Changes in Global Cloud Cover Based on Remote Sensing Data from 2003 to 2012, Chinese Geographical Science, 2019,29,2, 306–315.

23. Jingpeng Guo, Kebiao Mao*, Yinghui Zhao, Zhong Lu, and Xiaoping Lu, Impact of Climate on Food Security in Mainland China: A New Perspective Based on Characteristics of Major Agricultural Natural Disasters and Grain Loss, Sustainability, 2019, 11, 869, 1-25.

24. Tongren Xu, Xinlei He, Saye M. Bateni, Thomas Aulignec, Shaomin Liu, Ziwei Xu, Ji Zhou, Kebiao Mao, Mapping regional turbulent heat fluxes variational assimilation of land surface temperature data from polar orbiting satellites, Remote Sensing of Environment,2019,221,444-461.

25. Xinyi Shen, DachengWang, Kebiao Mao, Emmanouil Anagnostou, Yang Hong, Inundation Extent Mapping by Synthetic Aperture Radar: A Review, Remote sensing, 2019,11(879), 1-17.

26. Kebiao Mao*, Zhiyuan Zuo, Xinyi Shen, Tongren Xu, Chunyu Gao, Guang Liu, Retrieval of Land-surface Temperature from AMSR2 Data Using a Deep Dynamic Learning Neural Network, Chinese Geographical Science. 2018, 28,1, 1–11.

27.  Jiaqi Han, Kebiao Mao*, Tongren Xu, Jingpeng Guo, Zhiyuan Zuo, Chunyu Gao, A soil moisture estimation framework based on the CART algorithm and its application in China, Journal of Hydrology, 2018, 561, 65-75.

28.  Feifan Ge, Kebiao Mao*, Yuelin Jiang, Lei Wang, Tongren Xu, Chunyu Gao, Zhiyuan Zuo, Regional climate change after the commissioning of the Three Gorges Dam: a case study for the middle reaches of the Yangtze River, Climate research, 2018, 75, 33-51.

29. Lang Xia, Fen Zhao, Liping Chen, Ruirui Zhang, Kebiao Mao*,Arve Kylling, Ying Ma，Performance comparison of the MODIS and the VIIRS 1.38 μm cirrus cloud channels using libRadtran and CALIOP data，Remote Sensing of Environment,2018,206,363–374.

30. Lang Xia, Fen Zhao, Kebiao Mao*, Zijin Yuan, Zhiyuan Zuo,Tongren Xu, SPI-Based Analyses of Drought Changes over the Past 60 Years in China’s Major Crop-Growing Areas, Remote Sens. 2018, 171(10),1-15.

31. Kebiao Mao*, Ying Ma, Xuelan Tan, Xinyi Shen, Guang Liu, Zhaoliang Li, Jingming Chen, Lang Xia, Global surface temperature change analysis based on MODIS data in recent twelve years, Advance Space Research, 2017,59,503-512.

32. Kebiao Mao*, Xinyi Shen, Zhiyuan Zuo, et al., An advanced radiative transfer and neural network scheme and evaluation for estimating water vapor content from MODIS data, Atmosphere, 2017, 139(8):1-11.

33. Kebiao Mao*, Chen J M,  Y. Ma, Y. Song, X. Tan, K. Yang, Global water vapor content decreases from 2003 to 2012: an analysis based on MODIS Data, Chinese Geographical Science, 2017, 27(1), 1-7.

34. Kebiao Mao*, Zhaoliang Li, Jingming Chen, Ying Ma, Guang Liu, Xuelan Tan, Kaixin Yang, Global vegetation change analysis based on MODIS data in recent twelve years, High Technology Letters, 2016, 22(4), 343-349.

35. Xinyi Shen, Humberto J.V., Efthymios I.N., Emmanouil N.A., Yang Hong, Zeong Hao, Ke Zhang, Kebiao Mao, GDBC: A tool for generating global-scale distributed basin morphometry, Environmental Modelling & Software, 2016, 83: 212-223.

36. Kebaio Mao*, Y. Ma, T.R. Xu, Q. Liu, Han Jiaqi, L. Xia, X. Y. Shen, T. J. He. A New Perspective about Climate Change, Scientific Journal of Earth Science, 2015, 5(1): 12-17.

37. Kebiao Mao*, Y. Ma, X. Y. Shen, L. Xia, Shiying Tian, Han Jiaqi, Qing Liu, A method for retrieving soil moisture from GNSS-R by using experiment data, High Technology letters, 2015,21(2):219-223.

38. Lang Xia, F. Zhao, Y. Ma, Z. W. Sun, X. Y. Shen, Kebiao Mao*, An Improved Algorithm for the Detection of Cirrus Clouds in the Tibetan Plateau Using VIIRS and MODIS Data, Journal of Atmosphere and Oceanic Technology, 2015, 32, 2125-2129.

39. Xinyi Shen*, Hong Yang, Qiming Qin, Basara Jeffrey, Kebiao Mao, A semi-physical microwave surface emission model for soil moisture retrieval, IEEE Transaction on Geoscience and Remote Sensing, 2015, 53 (7), 4079-4090.

40. Lang Xia, Kebiao Mao*, Y. Ma, F. Zhao, L.P. Jiang, X.Y. Shen, Z. H. Qin, An algorithm for retrieving land surface temperature using VIIRS data in combination with multi-sensors, Sensors, 2014, 14, 21385-21408.

41. Kebaio Mao*, Y. Ma, L. Xia, Wendy Y. Chen, X. Y. Shen, T. J. He, Global aerosol change in the last decade: An analysis based on MODIS data, Atmospheric Environment, 2014, 94, 680-686.

42. Tongren Xu, S.M. Bateni, Shunlin Liang, Dara Entekhabi, Kebiao Mao, Estimation of Surface Turbulent Heat Fluxes via Variational Assimilation of Sequences of Land Surface Temperatures from Geostationary Operational Environmental Satellites, Journal of Geophysical Research-atmosphere, 2014, 119, 10780-10798.

43. Guang Liu, Jinghui Fan, Feng Zhao, Kebiao Mao, Changyong Dou, Monitoring elevation change of glaciers on Geladandong Mountain using TanDEM-X SAR interferometry, Journal of Mountain Science, 2017, 14(5), 859-869.

44. Kebiao Mao*, Y. Ma, X. Y. Shen, L. Xia, et al., The Study of Estimation Method of Broadband Emissivity from EOS/MODIS Data, High Technology letters, 2014, 21(1):88-91.

45. Kebiao Mao*, Y. Ma, L, Xia, X. Shen, et al., A neural network method for monitoring snowstorm: A case study in southern China. Chinese Geographical Science, 2014, 24(5):599-606.

46. Shen X., Kebiao Mao, Q. Qin, Y. Hong, Guifu Zhang, Bare surface soil moisture estimation using double-angle and dual-polarization L-band radar data, IEEE Transaction on Geoscience and Remote Sensing, 2013, 51(7):3931-3942.

47. Kebiao Mao*, Y. Ma, X. Shen, et al., Estimation of Broadband Emissivity (8-12um) from ASTER Data by Using RM-NN, Optics Express, 2012, 20(18): 20096-20101.

48. JianCheng Shi, Y. Du, J. Du, L. Jiang, L, Chai, Kebiao Mao, et al., Progresses on microwave remote sensing of land surface parameters, Science China Earth Science, 2012, 55 (7): 1052-1078.

49. Kebiao Mao*, Y. Ma, L. Xia, et al., The Monitoring Analysis for the Drought in China by Using an Improved MPI Method, Journal of Integrative Agriculture, 2012, 11(6), 1048-1058.

50. Kebiao Mao*, SanMei Li, DaoLong Wang, LiXin Zhang, Huajun Tang, Xiufeng Wang, Zhaoliang Li, Retrieval of Land Surface Temperature and Emissivity from ASTER1B data Using Dynamic Learning Neural Network, international journal of remote sensing, 2011, 32(19), 5413-5423.

51. Kebiao Mao*, H. T. Li, D. Y. Hu, J. Wang, J. X. Huang, Z. L. Li, Q. B. Zhou, and H. J. Tang, Estimation of water vapor content in near-infrared bands around 1 μm from MODIS data by using RM–NN, Optics Express, 2010, 18(9), 9542–9554.

52. Kebiao Mao*, Huajun Tang, Xiufeng Wang, Qingbo Zhou, Daolong Wang, Near-Surface Air Temperature Estimation from ASTER Data Using Neural Network, International Journal of Remote Sensing,2008, 29(20): 6021-6028.

53. Kebiao Mao*, Jiancheng Shi, Huajun Tang, Zhao-Liang Li, Xiufeng Wang, Kunshan Chen, A Neural Network Technique for Separating Land Surface Emissivity and Temperature from ASTER Imagery, IEEE Trans. Geosci. Remote Sensing, 2008, 46(1), 200-208.

54. Kebiao Mao*, J. Shi, Z. Li, and H. Tang, An RM-NN algorithm for retrieving land surface temperature and emissivity from EOS/MODIS data, Journal of Geophysical Research-atmosphere, 2007, 112, D21102, 1-17.

55. Kebiao Mao*, Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Manchun Li, Bin Xu, A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data, Science in China (Series D)，2007,7:1115-1120.

56. Kebiao Mao*, Tang H. J., Zhang L. X., Li M. C., Guo Y., Zhao D. Z., A Method for Retrieving Soil Moisture in Tibet Region by Utilizing Microwave Index from TRMM/TMI Data, International Journal of Remote Sensing, 2008，29（10）：2905-2925.

57. Kebiao Mao*, Qin Z., Shi J., Gong P., A Practical Split-Window Algorithm for Retrieving Land Surface Temperature from MODIS Data, International Journal of Remote Sensing, 2005,26:3181-3204.

58. Huang Jianxi, Zeng Yuan, Wu Wenbin, Mao Kebiao, Xu Jingyu, Su Wei，Estimation of Overstory and Understory Leaf Area Index by Combining Hyperion and Panchromatic QuickBird Data Using Neural Network Method，Sensor Letters, 2011, 9( 3), 964-973(10).

59. Huang Jianxi, Zeng Yuan, Kuusk Andres, Wu Bingfang, Dong Lixin, Mao Kebiao, Chen Jinsong, Inverting a forest canopy reflectance model to retrieve the overstorey and understorey leaf area index for forest stands, International Journal of Remote Sensing, 2011, 32(22), 7591-7611.

60. Changhong Su, Bojie Fu, Yongping Wei, Yihe Lü, Guohua Liu, Daolong Wang, Kebiao Mao, Xiaoming Feng，Ecosystem management based on ecosystem services and human activities: a case study in the Yanhe watershed，Sustainability Science. 2012, 7(1). 17-32. DOI:10.1007/s11625-011-0145-1.

61.  Kebiao Mao*, Y. Ma, Z.Y. Zuo, Y. Q. Jiao, F. Wang, Q. Liu, Z. W. Sun, Global water vapor content and vegetation change analysis based on remote sensing data, International Geoscience and Remote Sensing Symposium (IGARSS16), 2016, 17, 5205-5208.

62. Jingpeng Guo, Huiqian Chen, Yinghui Zhao, Kebiao Mao*, Ning Li, Liang Zhu, A dataset of major agricultural disasters and disaster losses in China(1949-2015), China Scientific Data, 2018, 3(2), 1-7.

63. Kebiao Mao*, Y. Ma, Z.Y. Zuo, F. Wang, Y. Q. Jiao, X.Y. Shen, Q. Liu, Which year is the hottest or coldest from 2001 to 2012 based on remote sensing data, International Geoscience and Remote Sensing Symposium (IGARSS16), 2016, 16, 5213-5216.

64. kebiao Mao*, L.P. Jiang, Y. Z. Liu, D. L. Wang, H.J.Tang, Retrieval analysis of snow depth from AMSR-E data in complex weather conditions, IITA-GRS2010, V1, 177-180.

65. kebiao Mao*, C.Y.Gao, L.J.Han, W. ZHANG, H.J. Tang, The drought monitoring in China by using AMSR-E data, IITA-GRS2010, V1, 181-184.

66. Kebiao Mao*, Zhang Mengyang, Wang Jianming,Tang Huajun,Zhou Qingbo, The Study of Soil Moisture Retrieval Algorithm from GNSS-R, IITA Conference on Geoscience and Remote Sensing (IITA-GRS 2008), Shanghai, 2008,12,1-5.

67. Kebiao Mao*, Wang Jianming, Zhang Mengyang, Tang Huajun, Zhou Qingbo, An AMSR-E Monitoring of Snowstorm -Disaster in South-China in 2008 Year, IITA Conference on Geoscience and Remote Sensing (IITA-GRS 2008), Shanghai, 2008,12,1-5.

68. Kebiao Mao*, Jiancheng Shi, Huajun Tang, Ying Guo, Yubao Qiu, Liying Li, A neural –network technique for retrieving land surface temperature from AMSR-E passive microwave data, International Geoscience and Remote Sensing Symposium (IGARSS07), 23-28 July 2007, 7: 4422-4425.

69. Kebiao Mao*, Zhihao Qin, Manchun Li, Lixin Zhang, Bin Xu, Lingmei Jiang, An Algorithm for Surface Soil Moisture Retrieval Using the Microwave Polarization Difference Index, International Geoscience and Remote Sensing Symposium (IGARSS06).

70. Kebiao Mao*,Jiangcheng Shi, Zhaoliang Li, Zhihao Qin, Xiufeng Wang, Lingmei Jiang, A Multiple-Band Algorithm for Separating Land Surface Emissivity and Temperature from ASTER Imagery, International Geoscience and Remote Sensing Symposium (IGARSS06).

71. Kebiao Mao*, Jiancheng Shi, Zhihao Qin, Peng Gong, Wei Liu, Lina Xu, A Multiple-band Algorithm for Retrieving Land-Surface Temperature and Emissivity from MODIS Data, International Geoscience and Remote Sensing Symposium (IGARSS05), 25-29 July 2005, 5: 3269 - 3272.

72. Kebiao Mao*，Jiancheng Shi ，Zhaoliang Li，Zhihao Qin, Yuanyuan Jia, Land Surface Temperature and Emissivity Retrieved from the AMSR Passive Microwave Data, International Geoscience and Remote Sensing Symposium (IGARSS05), 25-29 July 2005, 4: 2247 – 2249.

73. Kebiao Mao*, Zhihao Qin, Bin Xu, Manchun Li, Jianming Wang Shengli Wu, The Influence Analysis of Water Content for the Accuracy of Practical Split-window Algorithm, International Geoscience and Remote Sensing Symposium (IGARSS05), 25-29 July 2005, 5: 3266 – 3268.

74. Kebiao Mao*, Jiancheng Shi, Zhihao Qin, Peng Gong, An Advanced and Optimized Split-Window Algorithm for Retrieving Land-Surface Temperature from ASTER Data, International Symposium on Physical Measurements and Signatures in Remote Sensing (ispmsrs),2005.10.

75. Kebiao Mao*, Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Peng Gong, A Physics Based on Statistics Algorithm for Retrieving Land Surface Temperature and Soil Moisture From AMSR-E Passive Microwave Data, International Symposium on Physical Measurements and Signatures in Remote Sensing (ispmsrs), 2005.10.

76. Shengli Wu, Kebiao Mao, Jiangyang Du, Lina Xu, Jiangming Wang, The Potential of TRMM/PR Data to Monitor Snow in Tibetan Plateau, International Geoscience and Remote Sensing Symposium (IGARSS05), 25-29 July 2005, 5: 4431 -4434.

77. Xu Lina, Jiancheng Shi, Kebiao Mao, Estimating snow albedo in Tibetan plateau using MODIS, Proceedings of SPIE - The International Society for Optical Engineering, 2005.

78. Ying Guo, Jiancheng Shi, Kebiao Mao, Surface temperature effect on soil moisture retrieval from AMSR-E data, International Geoscience and Remote Sensing Symposium (IGARSS07), 23-28 July 2007, 7:1192 –1195.

79. 袁紫晋，毛克彪，曹萌萌，王涵，方舒，王平, 国内外农业大数据发展的现状与存在的问题, 中国农业信息,2021,33(3):1-12.

80. 王平，毛克彪，孟飞，袁紫晋，中国东海海表温度时空演化分析,国土资源遥感，2020，32(4) , 227－235．

81. 毛克彪*，田世英，袁紫晋，王涵，谭雪兰，乡村振兴战略视域下极端气候灾害与藏粮于民计划分析和展望，农业展望，2019,8,47-51.

82. 曹萌萌，毛克彪*，严毅博，崔京路，袁紫晋，Nusseiba，基于MODIS 数据的洞庭湖水体和水华时空变化研究，中国环境科学，2019, 39（6），2523-2531.

83. 孟祥金，毛克彪*，孟飞，师春香，赵冰，袁紫晋，基于空间权重分解的降尺度土壤水分产品的中国土壤水分时空格局研究，高技术通讯，2019,29（4），402-412.

84. 毛克彪*，杨军，韩秀珍，唐世浩，袁紫晋，高春雨，基于深度动态学习神经网络和辐射传输模型地表温度反演算法研究，中国农业信息，2018,30（5），47-57.

85. 严毅博，毛克彪*，许世卫，田世英，曹萌萌，袁紫晋，基于国际贸易与自然灾害背景下的中国农产品供需平衡展望，农业展望，2019,6，76-82.

86. 杨艳颖，毛克彪*，韩秀珍，杨军，郭晶鹏，1949-2016年中国旱灾规律及其对粮食产量的影响，2018,30（5），76-90.

87. 赵冰，毛克彪*，蔡玉林，王涵，孟祥金，袁紫晋，农业大数据关键技术及应用进展，中国农业信息，2018,30（6），25-34.

88. 崔京路，毛克彪*，陈日清，曹萌萌，袁紫晋，唐世浩，基于高分辨率遥感影像的农作物灾损评估研究，2018,30（6），63-70.

89. 安悦，周国华，贺艳华，毛克彪，谭雪兰，基于“三生”视角的乡村功能分区及调控-以长株潭地球为例，地理研究，2018,37（4），695-703.

90. 葛非凡，毛克彪*，蒋跃林，姜立鹏，范玉芬，王一舒，谭雪兰，李建军，三峡大坝运行后长江中下游流域气温与植被变化特征及原因分析，气候变化研究进展, 2017,13 (6): 578-588.

91. 韩家琪，毛克彪*，葛非凡，郭晶鹏，黎玲萍，分类回归树算法在土壤水分估算中的应用，遥感信息，2018,33（3），46-53.

92. 毛克彪*，左志远，朱高峰，唐华俊，赵映慧，马莹，全球气候和生态系统变化与星体轨道位置变化关系研究，高技术通讯，2016, 26（11）, 890 - 899.

93. 赵映慧，郭晶鹏，毛克彪*，项亚楠，李怡函，韩家琪，吴馁，1949-2015年中国典型自然灾害及粮食灾损特征, 地理学报, 2017，72(7), 1261-1276.

94. 付秀丽，黎玲萍，毛克彪*，谭雪兰，李建军，孙旭，左志远，基于卷积神经网络模型的遥感图像分析，高技术通讯，2017,27（3），203-212.

95. 谭雪兰，于思远，欧阳巧玲，毛克彪，贺艳华，周国华，快速城市化区域农村空心化测度与影响因素研究—以长株潭地区为例，地理研究，2017，36（4）,684-694.

96. 毛克彪*，把脉极端气候-保护粮食安全，科学大观园，2016,8, 24-26.

97. 黎玲萍，毛克彪*，付秀丽，马莹，王芳，刘勍，国内外农业大数据应用研究分析，高技术通讯，2016，（4）：414-422

98. 刘勍，毛克彪*，马莹，韩家琪，夏浪，农业大数据浅析及与Web GIS结合应用，遥感信息，2016，31（1）：124-128.

99. 刘勍，毛克彪*，马莹，谭雪兰，韩家琪，黎玲萍，夏浪，基于农业大数据可视化方法的中国生猪空间流通模式，地理科学，2017， 37（1）：118-124.

100. 葛非凡，毛克彪*，蒋跃林，谭雪兰，赵映慧，夏浪，华东地区夏季极端高温特征及其对植被的影响，中国农业气象, 2017, 38(01): 42-51.

101. 郭晶鹏,毛克彪*,赵映慧,左志远,陈冬冬. 我国蔬菜价格研究进展[J]. 北方园艺,2016,(23):180-186.

102. 夏浪，毛克彪*，孙知文，马莹，赵芬，基于DNB验证的VIIRS夜间云检测方法，国土资源遥感，2014,26（3）：74-79.

103. 夏浪，毛克彪*，马莹，孙知文，赵芬，基于可见光红外成像辐射仪数据的地表温度反演，农业工程学报，2014, 8（4）：109-116.

104. 夏浪，毛克彪*，孙知文，马莹，针对NPP VIIRS数据的云检测方法研究，中国环境科学， 2014， 34（3）：574-580.

105. 夏浪, 毛克彪*,孙知文，马莹，Suomi Npp VIIRS数据介绍及其在云检测上的应用分析. 地球科学前沿，2013, 3:1-6.

106. 毛克彪*, 施建成, 覃志豪, 李满春, 徐斌, 一个针对被动微波数据AMSRE数据反演地表温度的物理统计算法, 中国科学D辑，2006, 36(12):1170-1176.

107. 施建成，杜阳，杜今阳，蒋玲梅，柴琳娜，毛克彪等，微波遥感地表参数反演进展，中国科学D辑，2012, 42(6):814-842.

108. 毛克彪*，马莹，夏浪，沈心一，用MODIS数据反演近地表空气温度的RM-NN算法，高技术通讯，2013，23(5):462-466.

109. 毛克彪*, 胡德勇，黄健熙，张武，张立新，邹金秋，唐华俊, 针对被动微波数据AMSR-E数据的土壤水分反演算法, 高技术通讯, 2010，20（6）, 651-659.

110. 毛克彪*，王道龙，李滋睿，张立新，周清波，唐华俊，李丹丹，利用AMSR-E被动微波数据反演地表温度的神经网络算法, 高技术通讯，2009，19（11）：1195-1200.

111. 毛克彪*，王建明，张孟阳，唐华俊，周清波，基于AIEM和实地观测数据对GNSS-R反演土壤水分的研究，高技术通讯，2009，3（19）：295-301.

112. 毛克彪*,覃志豪, 施建成, 宫鹏, 针对MODIS数据的劈窗算法研究,武汉大学学报(信息科学版)2005（8）：703-708.

113. 毛克彪*，覃志豪，宫鹏, 余琴, 劈窗算法精度评价及参数敏感性分析，中国矿业大学学报,2005(3):318-322.

114. 毛克彪*, 覃志豪, 施建成, 用MODIS影像和劈窗算法反演山东半岛的地表温度,中国矿业大学学报(自然科学版)，2005(1):46-50.

115. 毛克彪*, 唐华俊, 周清波, 马柱国, 实用劈窗算法的改进及大气水汽含量对精度影响评价,武汉大学学报(信息科学版)，2008，33（2）：116-119.

116. 毛克彪*，王建明，张孟阳，周清波，马柱国，GNSS-R信号反演土壤水分研究分析，遥感信息，2009，3：92-97.

117. 毛克彪*, 马莹, 正视极端气候与粮食安全, 财经月刊, 2011, 407: 100-102.

118. 马莹，毛克彪，全球天灾回顾与前瞻，财经月刊，2012,419:81-83.

119. 毛克彪*, 唐华俊, 周清波,王建明, 马柱国, 利用被动微波数据AMSR-E对2008年中国南方雪灾监测分析,中国农业资源与区划, 2009, 30(1):46-50.

120. 毛克彪*, 唐华俊, 陈仲新, 王永前 , 一个用神经网络优化的针对ASTER数据反演地表温度和发射率的多波段算法, 国土资源遥感，2007, 73 (3): 18-22.

121. 毛克彪*, 唐华俊, 周清波，陈仲新, 陈佑启，覃志豪, 用辐射传输方程从MODIS数据中反演地表温度的方法，兰州大学学报(自然科学版)，2007,43(4):12-17.(EI)

122. 毛克彪*, 唐华俊, 李丽英, 许丽娜, 一个从MODIS数据同时反演地表温度和发射率的神经网络算法, 遥感信息, 2007,92(4):9-15.

123. 毛克彪*, 唐华俊, 周清波，陈佑启，被动微波遥感土壤水分反演研究综述，遥感技术与应用，2007,22(3):466-470.

124. 毛克彪*, 唐华俊, 周清波，陈仲新，陈佑启，赵登忠, AMSR-E微波极化指数与MODIS植被指数关系研究, 国土资源遥感, 2007, 1: 27-31.

125. 毛克彪*, 唐华俊, 陈仲新, 邱玉宝, 覃志豪, 李满春, 一个针对ASTER数据的劈窗算法, 遥感信息, 2006, 5:7-11.

126. 毛克彪*，施建成, 覃志豪, 宫鹏, 徐斌, 蒋玲梅, 一个针对ASTER数据同时反演地表温度和比辐射率的四通道算法，遥感学报，2006, 4: 593-599.

127. 毛克彪*,覃志豪, 徐斌, 被动微波土壤水分反演模型研究,测绘与空间地理信息, 2005(5):12-15

128. 毛克彪*, 施建成,  覃志豪, 贾媛媛, 用被动微波AMSR数据反演地表温度及发射率方法研究,国土资源遥感,2005(3):14-18

129. 毛克彪*, 覃志豪, 李满春, 徐斌, AMSR被动微波数据介绍及主要应用研究领域分析,遥感信息.2005,3:63-66.

130. 毛克彪*，施建成, 覃志豪, 宫鹏, 徐斌，从MODIS数据中同时反演地表温度和比辐射率的多波段算法研究，兰州大学学报（自然科学版）(专辑)2005(6)：49-55.

131. 毛克彪*,覃志豪, 秦晓敏, 高懋芳, 中国中部地带乡镇企业发展战略研究,经济地理2004(增刊)：286-290.

132. 毛克彪*,覃志豪等,针对ASTER的单窗算法研究,测绘学院学报，2005（1）：40-43。

133. 毛克彪*,覃志豪,王建明,武胜利,针对MODIS数据的大气水汽含量及31和32波段透过率计算,国土资源遥感,2005.1:26-30.

134. 毛克彪*,覃志豪,用MODIS影像反演环渤海地区的大气水汽含量,遥感信息,2004(4):47-49.

135. 毛克彪*,覃志豪, 刘伟, 用MODIS影像和单窗算法反演环渤海地区的地表温度,空间与测绘, 2004(6):23-25

136. 毛克彪*, 覃志豪,大气辐射传输模型及MODTRAN中大气透过率计算,空间与测绘, 2004, 27(2):1-3.

137. 毛克彪*, 覃志豪,张万昌,针对ETM基于BP网络模型的像元分解研究,遥感信息, 2004, 74(2):27-30.

138. 毛克彪*, 覃志豪,李昕,李海涛, 空间数据挖掘与GIS集成及应用研究,测绘与空间地理信息, 2004, 27(1):14-18.

139. 毛克彪*, 覃志豪,张万昌,一个基于SOFM网络模型的遥感图象分类方法,遥感技术与应用，2003, 6:399-402.

140. 毛克彪*, 覃志豪,陈晓燕,李昕,基于WEBGIS的电子商务数据挖掘研究,测绘学院学报, 2003, 3:180-182

141. 毛克彪*, 覃志豪,李海涛，周若鸿,基于空间数据仓库的空间数据挖掘研究,遥感信息, 2002，68(4):19-26.

142. 毛克彪*,田庆久,空间数据挖掘技术及应用研究,遥感技术与应用,2002, (4):198-206.