赵建军
东北师范大学地理科学学院
职 称：教授
研究方向：全球气候变化遥感
办公电话：0431-
办公地点：地理科学学院
电子邮件：zhaojj662@nenu.edu.cn
研究方向：全球气候变化遥感
办公电话：0431-
办公地点：地理科学学院
电子邮件：zhaojj662@nenu.edu.cn
个人简介
赵建军，东北师范大学地理科学学院，教授，博士生导师。研究兴趣：植被参数遥感反演、全球气候变化、植被物候遥感、3S技术与精准农业、城市时空大数据挖掘、人工智能与深度学习、GIS开发与应用。研究目标和愿景：（1）致力于植被参数遥感反演研究，探究全球气候变化，为降低自然灾害对人类的影响提供支撑；（2）致力于城市时空大数据挖掘研究，探索城市的诊断与评估，使人们生活更美好；（3）致力于3S技术与精准农业研究，服务于农业生产，使农业生产更高效。国家公派赴美留学一年，发表学术论文40余篇。主持了国家自然科学面上项目、国家自然科学青年项目、国家博士后基金、吉林省科技厅青年项目、吉林省教育厅项目等纵向课题8项。作为主要研究人员参与30余项国家级、省部级课题。获吉林省自然科学学术成果奖三等奖一项，吉林省优秀城市规划设计一等奖一项。担任Science of the Total Environment、International Journal of Applied Earth Observation and Geoinformation、Ecological Indicators、International Journal of Remote Sensing, Canadian Journal of Remote Sensing, Journal of Mountain Science, Chinese Geographical Science, Journal of Maps, Environmental Technology Reviews、Plant Methods、Plant Methods、IEEE Access、遥感信息等杂志审稿人。指导学生参加GIS应用大赛(获特等奖)、ESRI软件开发竞赛以及挑战杯等比赛共获得奖项20余项。
博士招生方向：遥感机理、植被物候、全球气候变化、农业遥感、遥感参数定量反演、人工智能与深度学习、地理与物候AI大模型（欢迎有计算机或数学背景的同学报考）。
硕士招生方向：植被参数遥感反演、全球气候变化、植被物候遥感、3S技术与精准农业、城市时空大数据挖掘、人工智能与深度学习、地理与物候AI大模型。
个人网址：
1.School: http://js.nenu.edu.cn/teacher/index.php?zgh=1001900147
2.College: http://geo.nenu.edu.cn/info/1495/6251.htm
3.ResearchGate: https://www.researchgate.net/profile/Jianjun_Zhao6
4.ORCID: https://orcid.org/0000-0002-0336-5764
工作经历
2022.6-今：东北师范大学地理科学学院，教授。
2019.7-今：东北师范大学地理科学学院，博士生导师。
2016.6-2022.6：东北师范大学地理科学学院，副教授。
2013.6-2016.6：东北师范大学地理科学学院，讲师。
2013.7-2015.12：东北师范大学环境学院，环境科学与工程专业，博士后。
教育经历
2011.9-2012.9：University of Rhode Island（Joint Ph.D.）；
2007.9-2013.7：东北师范大学地理科学学院，地图学与地理信息系统专业，理学博士学位（硕博连读）；
2003.9-2007.7：东北师范大学,城市与环境科学学院，地理信息系统专业，理学学士学位。
社会兼职
1.中国地理信息产业协会理论与方法工作委员会 委员
2.地图学与地理信息系统专业委员会 委员
3.国际数字地球学会中国国家委员会数字山地专业委员会 委员
4.吉林省行政区划与地名学会 副秘书长
5.《All Earth》副编辑
6.《遥感信息》编委
科研项目
纵向：
1.国家自然科学基金面上项目，北方森林植被物候变化及其对气候的反馈效应，2022.01-2025.12，纵向，在研，主持。
2.国家自然科学基金面上项目，呼伦贝尔草原植被物候对积雪物候的响应机制研究，2018.01-2021.12，纵向，在研，主持。
3.吉林省科技厅专利转化与推进，遥感技术专利信息分析与利用，2019-01-2020-12，纵向，在研，主持。
4.吉林省教育厅项目,基于多源遥感数据吉林省农作物类型精细识别及动态监测研究，2019-01-2020-12,纵向，在研，主持。
5.国家自然科学基金青年项目，物候变化对北方森林碳收支的影响，2016-01-2018-12，纵向，结题，主持。
6.吉林省科技发展计划青年项目，基于多时序卫星遥感数据农作物长势动态监测及其估产研究，2015-01 - 2017-12，纵向，结题，主持。
7.中国博士后科学基金资助项目，1982-2013年大兴安岭植被物候变化及其对气候响应研究，2014-01 - 2015-12，纵向，结题，主持。
横向：
1.基于GIS的大尺度长春市城市空间形态及其深化研究专题，企事业单位委托项目，2018年，结题，主持。
2.吉林省生物多样性保护优先区保护网络优化布局研究，企事业单位委托项目，2017年，结题，主持。
3.吉林省生物多样性保护优先区生物多样性现状评估，企事业单位委托项目，2017年，结题，主持。
参与的科研项目
1.国家自然科学基金重点项目，中国寒温带森林对气候变化的响应-反馈-预测研究，2019-01 - 2022-12，纵向，在研，参与。
2.国家自然科学基金重点项目，东北振兴空间过程及综合效应研究，2017-01 - 2021-12，纵向，在研，参与。
3.国家科技计划项目国家重点研发计划，花生养分推荐方法与限量标准，2016-01 - 2020-12，纵向，在研，参与。
4.国家自然科学基金面上项目，从中心地体系到城市网络：东北地区城市系统格局重构及演进机理研究，2016-01 - 2019-12，纵向，在研，参与。
5.国家自然科学基金面上项目，基于多源遥感影像时空融合的生态系统功能类型精细尺度识别与分析，2016-01 - 2019-12，纵向，在研，参与。
6.国家自然科学基金面上项目，强风干扰下的长白山寒温带山地植被演替过程与模拟反演研究，2016-01 - 2019-12，纵向，在研，参与。
7.国家自然科学基金面上项目，东北地区粮食生产格局与水土资源配置的耦合效应研究，2016-01 - 2019-12，纵向，在研，参与。
8.国家自然科学基金面上项目，人为草原火发生的跨尺度驱动机制及其对全球气候变化的响应研究，2016-01 - 2019-12，纵向，在研，参与。
9.国家自然科学基金青年项目，大兴安岭火烧迹地不同恢复模式及其对碳源/汇的影响研究，2017-01 - 2019-12，纵向，在研，参与。
10.国家自然科学基金青年项目，基于GOSAT数据的大兴安岭森林火灾CO2排放量估算，2015-01 - 2017-12，纵向，在研，参与。
11.科技部，松花江流域（吉林省辖区）景观生态格局时空变化分析，2015-01 - 2017-12，纵向，在研，参与。
12.青年骨干培育基金，长白山苔原带植被坡向差异演替的驱动因子研究，2016-04 - 2017-11，纵向，在研，参与。
13.青年探索培育基金，秸秆反射光谱特性及其覆盖度遥感估算研究，2016-04 - 2017-11，纵向，在研，参与。
14.青年探索培育基金，不同大陆山地植被季相动态及其对气候变化的响应研究，2016-04 - 2017-11，纵向，在研，参与。
15.校内自然科学青年基金，大兴安岭植被物候遥感反演及其规律特征研究，2014-01 - 2015-12，纵向，结题，主持。
16.中国博士后科学基金资助项，1982-2013年大兴安岭植被物候变化及其对气候响应研究，2014-01 - 2016-12，纵向，结题，主持。
17.吉林省博士后科研项目启动经费资助，基于农作物物候模型的水稻遥感估产和动态监测研究，2014-01 - 2015-12，纵向，结题，主持。
18.校内自然科学青年基金，资源环境多源空间数据集成技术研究，2008-01 - 2009-12，纵向，结题，参与。
19.吉林省教育厅，叶片茸毛对利用高光谱指数进行生化物质含量反演的影响，2014-01 - 2016-12，纵向，结题，参与。
发表论文
2023年:
3.Wang, M.; Zhang, H.; Wang, B.; Wang, Q.; Chen, H.; Gong, J.; Sun, M.; Zhao, J. The Sensitivity of Green-Up Dates to Different Temperature Parameters in the Mongolian Plateau Grasslands. Remote Sens. 2023, 15, 3830. https://doi.org/10.3390/rs15153830.
2022年：
1.Li, Jianuo, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Wu Rihan, and Guorong Deng. 2022. "Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China" Remote Sensing 14, no. 21: 5523. https://doi.org/10.3390/rs14215523.
2.Deng, G., Zhang, H., Zhao, J., Guo, X., Biniyaz, E., Zhao, H., Guo, D., Wu, R., & Li, H. (2022). Diverse variations in middle and high latitudes of the Northern Hemisphere spring phenology sensitivity to diurnal temperature during 1982–2015. International Journal of Climatology, 42(16), 9385–9403. https://doi.org/10.1002/joc.7827
3.秦昆,张洪岩,程昌秀等.空间数据分析一流课程建设的思考[J].地理空间信息,2022,20(07):148-153.
4.Wu Rihan, Jianjun Zhao, Hongyan Zhang, Xiaoyi Guo,Preseason drought controls on patterns of spring phenology in grasslands of the Mongolian Plateau,Science of The Total Environment, Volume 838, Part 2,2022,156018,ISSN 0048-9697,https://doi.org/10.1016/j.scitotenv.2022.156018.
5.Yuan, S.;Wang, Y.; Zhang, H.; Zhao, J.; Guo, X.; Xiong, T.; Li, H.; Zhao, H. Blue-Sky Albedo Reduction and Associated Influencing Factors of Stable Land Cover Types in the Middle-High Latitudes of the Northern Hemisphere during 1982–2015. Remote Sens. 2022, 14, 895. https://doi.org/10.3390/rs14040895
2021年：
1.Wang, T., Zhang, H., Zhao, J., Guo, X., Xiong, T., & Wu, R. (2021). Shifting contribution of climatic constraints on evapotranspiration in the boreal forest. Earth's Future, 9, e2021EF002104. https://doi.org/10.1029/2021EF002104
2.Li, H.; Zhang, H.; Li, Q.; Zhao, J.; Guo, X.; Ying, H.; Deng, G.; Rihan, W.; Wang, S. Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China. Remote Sens. 2021, 13, 975. https://doi.org/10.3390/rs13050975.
3.Shuo, Zhen, Jingyu, Zhang, Zhengxiang, Zhang and Jianjun, Zhao. "Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics" Open Geosciences, vol. 13, no. 1, 2021, pp. 796-806. https://doi.org/10.1515/geo-2020-0265
4.温智虹,邓国荣,赵建军等.大兴安岭植被变绿速率对霜冻的响应研究[J].地理科学进展,2021,40(05):839-847.
5.Wu Rihan, Hongyan Zhang, Jianjun Zhao, Yu Shan, Xiaoyi Guo, Hong Ying, Guorong Deng, Hui Li,Promote the advance of the start of the growing season from combined effects of climate change and wildfire,Ecological Indicators,Volume 125,2021,107483,ISSN 1470-160X,https://doi.org/10.1016/j.ecolind.2021.107483.
6.李辉,红英,邓国荣等.1982—2015年气候变化和人类活动对内蒙古草地净初级生产力的影响[J].应用生态学报,2021,32(02):415-424.DOI:10.13287/j.1001-9332.202102.002.
2020年：
1.Jing Zhang, Jianjun Zhao* et al., Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets,ISPRS Journal of Photogrammetry and Remote Sensing,Volume 169,2020,Pages 1-16,ISSN 0924-2716,https://doi.org/10.1016/j.isprsjprs.2020.08.020.
2.Xu J , Zhao J * , Zhang H , et al. Evolution of the Process of Urban Spatial and Temporal Patterns and its Influencing Factors in Northeast China[J]. Journal of Urban Planning and Development, 2020, 146(4):05020017.
3.Guo, Xy., Zhang, Hy., Wang, Yq. et al. The driving factors and their interactions of fire occurrence in Greater Khingan Mountains, China. J. Mt. Sci. 17, 2674–2690 (2020). https://doi.org/10.1007/s11629-020-6036-0.
4.T. Wang, H. Zhang, Z. Jianjun, X. Guo and S. Tong, "Estimation of Water-Use Efficiency Based on Satellite for the Typical Croplands," in IEEE Access, vol. 8, pp. 220533-220541, 2020, doi: 10.1109/ACCESS.2020.3037077.
5.Shan Y U , Li J , Wala D U , et al. Estimation and Spatio-temporal Patterns of Carbon Emissions from Grassland Fires in Inner Mongolia, China[J]. Chinese Geographical Science, 2020(4).
6.Deng G , Zhang H , Yang L , et al. Estimating Frost during Growing Season and Its Impact on the Velocity of Vegetation Greenup and Withering in Northeast China[J]. Remote Sensing, 2020, 12(9):1355.
7.Hong Ying, Hongyan Zhang, Jianjun Zhao, Yu Shan, Zhengxiang Zhang, Xiaoyi Guo, Wu Rihan, Guorong Deng,Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015, Ecological Indicators,Volume 111,2020,105974,ISSN 1470--60X,https://doi.org/10.1016/j.ecolind.2019.105974.
2019年：
1.Fan, L.; Zhao, J.*; Wang, Y.; Ren, Z.; Zhang, H.; Guo, X. Assessment of Night-Time Lighting for Global Terrestrial Protected and Wilderness Areas. Remote Sens. 2019, 11, 2699.
2.Rihan, W.; Zhao, J.*; Zhang, H.; Guo, X.; Ying, H.; Deng, G.; Li, H. Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability. Remote Sens. 2019, 11, 2361.
3.S. Feng, J. Zhao*, T. Liu, H. Zhang, Z. Zhang and X. Guo, "Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 9, pp. 3295-3306, Sept. 2019. doi: 10.1109/JSTARS.2019.2922469.
4.Wang, Z.; Zhao, J.*; Xu, J.; Jia, M.; Li, H.; Wang, S. Influence of Straw Burning on Urban Air Pollutant Concentrations in Northeast China. Int. J. Environ. Res. Public Health 2019, 16, 1379. 5.Xiong, T.; Zhang, H.*; Zhao, J.; Zhang, Z.; Guo, X.; Zhu, Z.; Shan, Y. Diverse Responses of Vegetation Dynamics to Snow Cover Phenology over the Boreal Region. Forests 2019, 10, 376.
2018年：
1.Chen, S.; Zhang, H.; Sun, T.; Zhao, J.; Guo, X. Remote Sensing Image Classification Using the Spectral-Spatial Distance Based on Information Content. Sensors 2018, 18, 3428.
2.Chang, Shuai & Huang, Fang & Zhao, J. & Zhang, Y.. (2018). Identifying influential climate factors of land surface phenology changes in songnen plain of China using grid-based grey relational analysis. Journal of Grey System. 30. 18-33.
3.Li, X.; Zhang, H.; Yang, G.; Ding, Y.; Zhao, J. Post-Fire Vegetation Succession and Surface Energy Fluxes Derived from Remote Sensing. Remote Sens. 2018, 10, 1000.
4.Fu, Y.; He, H.S.; Zhao, J.; Larsen, D.R.; Zhang, H.; Sunde, M.G.; Duan, S. Climate and Spring Phenology Effects on Autumn Phenology in the Greater Khingan Mountains, Northeastern China. Remote Sens. 2018, 10, 449.
5.Yang, Lingbin & Sun, Guoqing & Zhi, Lu & Zhao, Jianjun. (2018). Negative soil moisture-precipitation feedback in dry and wet regions. Scientific Reports. 8. 10.1038/s41598-018-22394-7.
6.Guo, X. Y. , Zhang, H. Y. , Wang, Y. Q. , He, H. S. , Wu, Z. F. , & Jin, Y. H. , et al. (2018). Comparison of the spatio-temporal dynamics of vegetation between the changbai mountains of eastern eurasia and the appalachian mountains of eastern north america. Journal of Mountain Science, 15(1), 1-12.
7.Zhu, Z.; Zhang, H.; Zhao, J.; Guo, X.; Zhang, Z.; Ding, Y.; Xiong, T. Using Toponyms to Analyze the Endangered Manchu Language in Northeast China. Sustainability 2018, 10, 563.
2017年：
1.Zhu, Q.; Zhao, J.; Zhu, Z.; Zhang, H.; Zhang, Z.; Guo, X.; Bi, Y.; Sun, L. Remotely Sensed Estimation of Net Primary Productivity (NPP) and Its Spatial and Temporal Variations in the Greater Khingan Mountain Region, China. Sustainability 2017, 9, 1213.
2.Li, Y., Zhao, J., Guo, X., Zhang, Z., Tan, G., Yang, J. The Influence of Land Use on the Grassland Fire Occurrence in the Northeastern Inner Mongolia Autonomous Region, China. Sensors, 2017, 17(3), 437.
3.Meifang L , Jianjun Z , Xiaoyi G , et al. Study on Climate and Grassland Fire in HulunBuir, Inner Mongolia Autonomous Region, China[J]. Sensors, 2017, 17(3):616-.
4.Guo, X.; Zhang, H.; Wu, Z.; Zhao, J.; Zhang, Z. Comparison and Evaluation of Annual NDVI Time Series in China Derived from the NOAA AVHRR LTDR and Terra MODIS MOD13C1 Products. Sensors 2017, 17, 1298.
5.Zhang, Z. , Feng, Z. , Zhang, H. , Zhao, J. , Yu, S. , & Du, W. . (2017). Spatial distribution of grassland fires at the regional scale based on the modis active fire products. International Journal of Wildland Fire, 26(3), 209.
6.袁赛赛, 乔志和, 张国发, 张洪岩, 赵建军, & 郭笑怡. (2017). 三个时期大庆油田区湿地格局及其变化. 湿地科学, v.15(06), 62-67.
2016年以前：
1.Zhao, J., Wang, Y., Zhang, Z., Zhang, H., Guo, X., & Yu, S., et al. (2016). The variations of land surface phenology in northeast china and its responses to climate change from 1982 to 2013. Remote Sensing, 8(5), 400.
2.Zhao, J., Wang, Y., Zhang, H., Zhang, Z., Guo, X., & Shan, Y., et al. (2016). Spatially and temporally continuous lai datasets based on the mixed pixel decomposition method. SpringerPlus, 5(1), 516.
3.Zhao, J., Zhang, H., Zhang, Z., Guo, X., Li, X., & Chen, C. (2015). Spatial and temporal changes in vegetation phenology at middle and high latitudes of the northern hemisphere over the past three decades. Remote Sensing, 7(8), 10973-10995.
4.Zhao,J.; Zhang, H. *; Zhang, Z.; Guo, X.; Hu, D.; Li, X. Long-term Time Series of Vegetation Variations and Its Relationship with Climate Factors by Integrating AVHRR GIMMS and Terra MODIS Data. Fresenius Environ. Bull. 2015, 24(11b),4007-4018.
5.Zhao, J.; Wang, Y. *; Hashimoto, H.; Melton, F. S.; Hiatt, S. H.; Zhang, H.; Nemani, R. R. The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail. Geosci. Remote Sens. IEEE Trans. On 2013, 51, 2087–2095.
6.Zhengxiang Zhang, Hongyan Zhang, Zhiqiang Feng, Xuedong Li, Yunzhi Bi, Dongkai Shi, Daowei Zhou, Yong Wang, Yong Wang, Jianjun Zhao *, A method for estimating the amount of dead grass fuel based on spectral reflectance characteristics. International Journal of Wildland Fire, 2015, 24: 940–948.
7.Guo, X., Zhang, H., Yuan, T., Zhao, J., & Xue, Z. (2015). Detecting the temporal scaling behavior of the normalized difference vegetation index time series in china using a detrended fluctuation analysis. Remote Sensing, 7(10), 12942-12960.
8.Wang, Y.; Hou, G. R.; Zhao, J.; Chen, T. ; Zhang, H. *, Study On The Trend Of Vegetation Phenological Change And Its Response To Climate Change In Changbai Mountains. Fresenius Environ. Bull. 2015, 24, 2193-2202.
9.Guo, D., Zhang, H. Y. *, Hou, G. L., Zhao, J. J., Liu, D. Y., & Guo, X. Y. (2014). Topographic controls on alpine treeline patterns on Changbai Mountain, China. Journal of Mountain Science, 2015, 11(2), 429-441.
10.Wang, Y. *; Zhao, J.; Zhou, Y.; Zhang, H. Variation and trends of landscape dynamics, land surface phenology and net primary production of the Appalachian Mountains. J. Appl. Remote Sens. 2012, 6, 061708–061708.
11.Zhao J., Wang Y. *, Zhang H., Automated batch processing of mass remote sensing and geospatial data to meet the needs of end users, Geoscience and Remote Sensing Symposium (IGARSS), pp. 3464–3467, Canada, 2011.7.
12.Wang Y. *, Zhao J., and Zhang H., Remote sensing of Land Surface dynamics along the Appalachian Trail, Geoscience and Remote Sensing Symposium (IGARSS), pp. 815–817, 24, Canada, 2011.7.
13.Piao M., Hongyan Z. *, Zhao J., et al. The Influence of Drought and Flood Disasters on Rice NDVI in Summer[C]//IOP Conference Series: Earth and Environmental Science. IOP Publishing, 2014, 17(1): 012054.
14.浮媛媛,赵建军等.基于生态地理分区的大兴安岭植被物候时空变化[J].应用生态学报,2016,27(09):2797-2806.
15.赵建军,张洪岩*等,基于AHP和GIS的省级耕地质量评价研究——以吉林省为例,土壤通报,第43卷,第1期,70-75页,2012.
16.赵建军,张洪岩*等,人类活动对长白山典型区域自然环境的影响，东北师大学报(自然科学版),第43卷,第3期,126-132页,2011.
17.赵建军,张洪岩*等,基于CA-Markov模型的向海湿地土地覆被变化动态模拟研究,自然资源学报,第24卷,第12期，2178-2186页,2009.
18.刘小婵, 张洪岩, 赵建军等. (2015). 东北地区TRMM数据降尺度的GWR模型分析. 地球信息科学学报, 17(9), 1055-1062.
19.刘小婵, 赵建军, 张洪岩等. (2015). TRMM降水数据在东北地区的精度验证与应用. 自然资源学报, 17(6), 1047-1056.
20.浮媛媛, 张洪岩, 赵建军等. TRMM降水数据在省级尺度的应用研究——以辽宁省为例. 安徽农业科学, 2015(14):209-213.
21.王婷婷, 张洪岩, 郭笑怡, 张正祥, 赵建军. (2014). 基于温度植被干旱指数的松辽平原干旱时空特征. 干旱区研究, 31(3), 383-389.
22.马超, 赵建军. 基于GIS和.NET的农业资源管理信息系统研究. 山东农业大学学报(自然科学版), 2016, 47(4):587-590.
23.郭笑怡, 张洪岩, 张正祥, 侯光雷, 赵建军. (2011). ASTER-GDEM与SRTM3数据质量精度对比分析. 遥感技术与应用(3), 334-339.
Curriculum Vitae
● Name：JianJun Zhao
● E-mail: Zhaojj662@nenu.edu.cn
Education Background
● 2011.9-2012.9, Joint Training Doctoral (Cartography and geographic information system), University of Rhode Island, Kingston, RI, USA.
● 2007.09-2013.07, Ph.D.(Cartography and geographic information system), Northeast Normal University, Changchun, Jilin, China.
● 2003.09-2007.07, B.S.(Geographic information system), Northeast Normal University School of Geographical Sciences Changchun, Jilin, China.
Scientific Work Experience
● Associate Professor, School of Geographical Sciences, Northeast Normal University (2016.01- Present).
● Lecturer, School of Geographical Sciences, Northeast Normal University (2013.7-2015.12)
● Post-Doctoral, School of Environment, Northeast Normal University (2013.7-2015.11)
Courses Taught：
●WebGIS (2013.7-Present)
●Spatial Database (2013.7-Present)
●Design and development of GIS
Research Interests
Global Climate Change; Land Surface Phenology; Remote sensing Funded Projects Refereed
Publications
2023:
1.Haihua Chen, Jianjun Zhao, Hongyan Zhang, Zhengxiang Zhang, Xiaoyi Guo, Meiyu Wang, Detection and attribution of the start of the growing season changes in the Northern Hemisphere, Science of The Total Environment,Volume 903,2023,166607,ISSN 0048-9697,https://doi.org/10.1016/j.scitotenv.2023.166607.
2.Meiyu Wang, Jianjun Zhao, Hongyan Zhang, Zhengxiang Zhang, Xiaoyi Guo, Tingting Zhang, Rihan Wu,Detecting the response characteristics and thresholds of grassland spring phenology to climatic factors in the Mongolian Plateau,Ecological Indicators,Volume 153,2023,110440,ISSN 1470-160X,https://doi.org/10.1016/j.ecolind.2023.110440.
3.Wang, M.; Zhang, H.; Wang, B.; Wang, Q.; Chen, H.; Gong, J.; Sun, M.; Zhao, J. The Sensitivity of Green-Up Dates to Different Temperature Parameters in the Mongolian Plateau Grasslands. Remote Sens. 2023, 15, 3830. https://doi.org/10.3390/rs15153830.
2022：
1.Li, Jianuo, Hongyan Zhang, Jianjun Zhao, Xiaoyi Guo, Wu Rihan, and Guorong Deng. 2022. "Embedded Feature Selection and Machine Learning Methods for Flash Flood Susceptibility-Mapping in the Mainstream Songhua River Basin, China" Remote Sensing 14, no. 21: 5523. https://doi.org/10.3390/rs14215523.
2.Deng, G., Zhang, H., Zhao, J., Guo, X., Biniyaz, E., Zhao, H., Guo, D., Wu, R., & Li, H. (2022). Diverse variations in middle and high latitudes of the Northern Hemisphere spring phenology sensitivity to diurnal temperature during 1982–2015. International Journal of Climatology, 42(16), 9385–9403. https://doi.org/10.1002/joc.7827
3.秦昆,张洪岩,程昌秀等.空间数据分析一流课程建设的思考[J].地理空间信息,2022,20(07):148-153.
4.Wu Rihan, Jianjun Zhao, Hongyan Zhang, Xiaoyi Guo,Preseason drought controls on patterns of spring phenology in grasslands of the Mongolian Plateau,Science of The Total Environment, Volume 838, Part 2,2022,156018,ISSN 0048-9697,https://doi.org/10.1016/j.scitotenv.2022.156018.
5.Yuan, S.; Wang, Y.; Zhang, H.; Zhao, J.; Guo, X.; Xiong, T.; Li, H.; Zhao, H. Blue-Sky Albedo Reduction and Associated Influencing Factors of Stable Land Cover Types in the Middle-High Latitudes of the Northern Hemisphere during 1982–2015. Remote Sens. 2022, 14, 895. https://doi.org/10.3390/rs14040895
2021：
1.Wang, T., Zhang, H., Zhao, J., Guo, X., Xiong, T., & Wu, R. (2021). Shifting contribution of climatic constraints on evapotranspiration in the boreal forest. Earth's Future, 9, e2021EF002104. https://doi.org/10.1029/2021EF002104
2.Li, H.; Zhang, H.; Li, Q.; Zhao, J.; Guo, X.; Ying, H.; Deng, G.; Rihan, W.; Wang, S. Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China. Remote Sens. 2021, 13, 975. https://doi.org/10.3390/rs13050975.
3.Shuo, Zhen, Jingyu, Zhang, Zhengxiang, Zhang and Jianjun, Zhao. "Identifying the density of grassland fire points with kernel density estimation based on spatial distribution characteristics" Open Geosciences, vol. 13, no. 1, 2021, pp. 796-806. https://doi.org/10.1515/geo-2020-0265
4.温智虹,邓国荣,赵建军等.大兴安岭植被变绿速率对霜冻的响应研究[J].地理科学进展,2021,40(05):839-847.
5.Wu Rihan, Hongyan Zhang, Jianjun Zhao, Yu Shan, Xiaoyi Guo, Hong Ying, Guorong Deng, Hui Li,Promote the advance of the start of the growing season from combined effects of climate change and wildfire,Ecological Indicators,Volume 125,2021,107483,ISSN 1470-160X,https://doi.org/10.1016/j.ecolind.2021.107483.
6.李辉,红英,邓国荣等.1982—2015年气候变化和人类活动对内蒙古草地净初级生产力的影响[J].应用生态学报,2021,32(02):415-424.DOI:10.13287/j.1001-9332.202102.002.
2020：
1.Jing Zhang, Jianjun Zhao* et al., Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets,ISPRS Journal of Photogrammetry and Remote Sensing,Volume 169,2020,Pages 1-16,ISSN 0924-2716,https://doi.org/10.1016/j.isprsjprs.2020.08.020.
2.Xu J , Zhao J * ,Zhang H , et al. Evolution of the Process of Urban Spatial and Temporal Patterns and its Influencing Factors in Northeast China[J]. Journal of Urban Planning and Development, 2020, 146(4):05020017.
3.Guo, Xy., Zhang, Hy., Wang, Yq. et al. The driving factors and their interactions of fire occurrence in Greater Khingan Mountains, China. J. Mt. Sci. 17, 2674–2690 (2020). https://doi.org/10.1007/s11629-020-6036-0.
4.T. Wang, H. Zhang, Z. Jianjun, X. Guo and S. Tong, "Estimation of Water-Use Efficiency Based on Satellite for the Typical Croplands," in IEEE Access, vol. 8, pp. 220533-220541, 2020, doi: 10.1109/ACCESS.2020.3037077.
5.Shan Y U , Li J , Wala D U , et al. Estimation and Spatio-temporal Patterns of Carbon Emissions from Grassland Fires in Inner Mongolia, China[J]. Chinese Geographical Science, 2020(4).
6.Deng G , Zhang H , Yang L , et al. Estimating Frost during Growing Season and Its Impact on the Velocity of Vegetation Greenup and Withering in Northeast China[J]. Remote Sensing, 2020, 12(9):1355.
7.Hong Ying, Hongyan Zhang, Jianjun Zhao, Yu Shan, Zhengxiang Zhang, Xiaoyi Guo, Wu Rihan, Guorong Deng,Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015, Ecological Indicators,Volume 111,2020,105974,ISSN 1470--60X,https://doi.org/10.1016/j.ecolind.2019.105974.
2019：
1.Fan, L.; Zhao, J.*; Wang, Y.; Ren, Z.; Zhang, H.; Guo, X. Assessment of Night-Time Lighting for Global Terrestrial Protected and Wilderness Areas. Remote Sens. 2019, 11, 2699.
2.Rihan, W.; Zhao, J.*; Zhang, H.; Guo, X.; Ying, H.; Deng, G.; Li, H. Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability. Remote Sens. 2019, 11, 2361.
3.S. Feng, J. Zhao*, T. Liu, H. Zhang, Z. Zhang and X. Guo, "Crop Type Identification and Mapping Using Machine Learning Algorithms and Sentinel-2 Time Series Data," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 9, pp. 3295-3306, Sept. 2019. doi: 10.1109/JSTARS.2019.2922469.
4.Wang, Z.; Zhao, J.*; Xu, J.; Jia, M.; Li, H.; Wang, S. Influence of Straw Burning on Urban Air Pollutant Concentrations in Northeast China. Int. J. Environ. Res. Public Health 2019, 16, 1379. 5.Xiong, T.; Zhang, H.*; Zhao, J.; Zhang, Z.; Guo, X.; Zhu, Z.; Shan, Y. Diverse Responses of Vegetation Dynamics to Snow Cover Phenology over the Boreal Region. Forests 2019, 10, 376.
2018：
1.Chen, S.; Zhang, H.; Sun, T.; Zhao, J.; Guo, X. Remote Sensing Image Classification Using the Spectral-Spatial Distance Based on Information Content. Sensors 2018, 18, 3428.
2.Chang, Shuai & Huang, Fang & Zhao, J. & Zhang, Y.. (2018). Identifying influential climate factors of land surface phenology changes in songnen plain of China using grid-based grey relational analysis. Journal of Grey System. 30. 18-33.
3.Li, X.; Zhang, H.; Yang, G.; Ding, Y.; Zhao, J. Post-Fire Vegetation Succession and Surface Energy Fluxes Derived from Remote Sensing. Remote Sens. 2018, 10, 1000.
4.Fu, Y.; He, H.S.; Zhao, J.; Larsen, D.R.; Zhang, H.; Sunde, M.G.; Duan, S. Climate and Spring Phenology Effects on Autumn Phenology in the Greater Khingan Mountains, Northeastern China. Remote Sens. 2018, 10, 449.
5.Yang, Lingbin & Sun, Guoqing & Zhi, Lu & Zhao, Jianjun. (2018). Negative soil moisture-precipitation feedback in dry and wet regions. Scientific Reports. 8. 10.1038/s41598-018-22394-7.
6.Guo, X. Y. , Zhang, H. Y. , Wang, Y. Q. , He, H. S. , Wu, Z. F. , & Jin, Y. H. , et al. (2018). Comparison of the spatio-temporal dynamics of vegetation between the changbai mountains of eastern eurasia and the appalachian mountains of eastern north america. Journal of Mountain Science, 15(1), 1-12.
7.Zhu, Z.; Zhang, H.; Zhao, J.; Guo, X.; Zhang, Z.; Ding, Y.; Xiong, T. Using Toponyms to Analyze the Endangered Manchu Language in Northeast China. Sustainability 2018, 10, 563.
2017：
1.Zhu, Q.; Zhao, J.; Zhu, Z.; Zhang, H.; Zhang, Z.; Guo, X.; Bi, Y.; Sun, L. Remotely Sensed Estimation of Net Primary Productivity (NPP) and Its Spatial and Temporal Variations in the Greater Khingan Mountain Region, China. Sustainability 2017, 9, 1213.
2.Li, Y., Zhao, J., Guo, X., Zhang, Z., Tan, G., Yang, J. The Influence of Land Use on the Grassland Fire Occurrence in the Northeastern Inner Mongolia Autonomous Region, China. Sensors, 2017, 17(3), 437.
3.Meifang L , Jianjun Z, Xiaoyi G , et al. Study on Climate and Grassland Fire in HulunBuir, Inner Mongolia Autonomous Region, China[J]. Sensors, 2017, 17(3):616-.
4.Guo, X.; Zhang, H.; Wu, Z.; Zhao, J.; Zhang, Z. Comparison and Evaluation of Annual NDVI Time Series in China Derived from the NOAA AVHRR LTDR and Terra MODIS MOD13C1 Products. Sensors 2017, 17, 1298.
5.Zhang, Z. , Feng, Z. , Zhang, H. , Zhao, J. , Yu, S. , & Du, W. . (2017). Spatial distribution of grassland fires at the regional scale based on the modis active fire products. International Journal of Wildland Fire, 26(3), 209.
6.袁赛赛, 乔志和, 张国发, 张洪岩, 赵建军, & 郭笑怡. (2017). 三个时期大庆油田区湿地格局及其变化. 湿地科学, v.15(06), 62-67.
Before 2016：
1.Zhao, J., Wang, Y., Zhang, Z., Zhang, H., Guo, X., & Yu, S., et al. (2016). The variations of land surface phenology in northeast china and its responses to climate change from 1982 to 2013. Remote Sensing, 8(5), 400.
2.Zhao, J., Wang, Y., Zhang, H., Zhang, Z., Guo, X., & Shan, Y., et al. (2016). Spatially and temporally continuous lai datasets based on the mixed pixel decomposition method. SpringerPlus, 5(1), 516.
3.Zhao, J., Zhang, H., Zhang, Z., Guo, X., Li, X., & Chen, C. (2015). Spatial and temporal changes in vegetation phenology at middle and high latitudes of the northern hemisphere over the past three decades. Remote Sensing, 7(8), 10973-10995.
4.Zhao,J.; Zhang, H. *; Zhang, Z.; Guo, X.; Hu, D.; Li, X. Long-term Time Series of Vegetation Variations and Its Relationship with Climate Factors by Integrating AVHRR GIMMS and Terra MODIS Data. Fresenius Environ. Bull. 2015, 24(11b),4007-4018.
5.Zhao, J.; Wang, Y. *; Hashimoto, H.; Melton, F. S.; Hiatt, S. H.; Zhang, H.; Nemani, R. R. The Variation of Land Surface Phenology From 1982 to 2006 Along the Appalachian Trail. Geosci. Remote Sens. IEEE Trans. On 2013, 51, 2087–2095.
6.Zhengxiang Zhang, Hongyan Zhang, Zhiqiang Feng, Xuedong Li, Yunzhi Bi, Dongkai Shi, Daowei Zhou, Yong Wang, Yong Wang, Jianjun Zhao *, A method for estimating the amount of dead grass fuel based on spectral reflectance characteristics. International Journal of Wildland Fire, 2015, 24: 940–948.
7.Guo, X., Zhang, H., Yuan, T., Zhao, J., & Xue, Z. (2015). Detecting the temporal scaling behavior of the normalized difference vegetation index time series in china using a detrended fluctuation analysis. Remote Sensing, 7(10), 12942-12960.
8.Wang, Y.; Hou, G. R.; Zhao, J.; Chen, T. ; Zhang, H. *, Study On The Trend Of Vegetation Phenological Change And Its Response To Climate Change In Changbai Mountains. Fresenius Environ. Bull. 2015, 24, 2193-2202.
9.Guo, D., Zhang, H. Y. *, Hou, G. L., Zhao, J. J., Liu, D. Y., & Guo, X. Y. (2014). Topographic controls on alpine treeline patterns on Changbai Mountain, China. Journal of Mountain Science, 2015, 11(2), 429-441.
10.Wang, Y. *; Zhao, J.; Zhou, Y.; Zhang, H. Variation and trends of landscape dynamics, land surface phenology and net primary production of the Appalachian Mountains. J. Appl. Remote Sens. 2012, 6, 061708–061708.
11.Zhao J., Wang Y. *, Zhang H., Automated batch processing of mass remote sensing and geospatial data to meet the needs of end users, Geoscience and Remote Sensing Symposium (IGARSS), pp. 3464–3467, Canada, 2011.7.
12.Wang Y. *, Zhao J., and Zhang H., Remote sensing of Land Surface dynamics along the Appalachian Trail, Geoscience and Remote Sensing Symposium (IGARSS), pp. 815–817, 24, Canada, 2011.7.
13.Piao M., Hongyan Z. *, Zhao J., et al. The Influence of Drought and Flood Disasters on Rice NDVI in Summer[C]//IOP Conference Series: Earth and Environmental Science. IOP Publishing, 2014, 17(1): 012054.
Academic Service Paper reviewer for scientific journals
1.Science of the Total Environment
2.International Journal of Applied Earth Observation and Geoinformation
3.Ecological Indicators
4.Remote Sensing
5.International Journal of Remote Sensing
6.Canadian Journal of Remote Sensing
7.Journal of Mountain Science
8.Chinese Geographical Science
9.Journal of Maps
10.Environmental Technology
Reviews Memberships of professional societies
1.Theories and methods of Chinese geographic information industry association
2.Association of Cartography and Geographic Information Science 3.Professional Committee for Digital Mountain, Chinese National Committee of International Society for Digital Earth
Personal website
1.School: http://js.nenu.edu.cn/teacher/index.php?zgh=1001900147
2.College: http://geo.nenu.edu.cn/info/1495/6251.htm
3.ResearchGate: https://www.researchgate.net/profile/Jianjun_Zhao6