2013.01-2017.12 参与国家973计划项目: 复杂地表遥感信息动态分析与建模. 第六课题: 土壤-植被水热参数多模式遥感协同反演与动态分析. (子课题负责)

2012.07-2016.12 参与国家863计划项目: 全球生态系统与表面能量平衡特征参量生成与应用. (全球地表温度产品算法组成员)
2014.01-2017.12 主持国家自然科学基金(面上项目): 基于三维建模与组分发射辐射分离的异质性场景像元尺度表面温度模拟研究
2012.01-2014.12 主持国家自然科学基金(青年基金): 基于时间尺度模型耦合的逐日城市热岛模拟与演变特征分析.
2012.01-2013.12 主持中国博士后科学基金面上项目(一等资助): 地表温度空间分辨率提升模型及其时间尺度拓展.
代表性论著
1、Huang, F., Zhou, J., Tao, J., Tan, X., Liang, S., Cheng, J., 2016. PMODTRAN: a parallel implementation based on MODTRAN for massive remote-sensing data processing. International Journal of Digital Earth. doi:http://dx.doi.org/10.1080/17538947.2016.1144800
2、Song, L., Liu, S., Kustas, W.P., Zhou, J., Xu, Z., Xia, T., Li, M., 2016. Application of remote sensing-based two-source energy balance model for mapping field surface fluxes with composite and component surface temperatures. Agricultural and Forest Meteorology. doi:10.1016/j.agrformet.2016.01.005
3、Zhou, J., Dai, F., Zhang, X., Zhao, S., Li, M., 2015. Developing a temporally land cover-based look-up table (TL-LUT) method for estimating land surface temperature based on AMSR-E data over the Chinese landmass. International Journal of Applied Earth Observation and Geoinformation 34, 35–50. doi:http://dx.doi.org/10.1016/j.jag.2014.07.001
4、Zhou, J., Li, M., Liu, S., Jia, Z., Ma, Y., 2015. Validation and Performance Evaluations of Methods for Estimating Land Surface Temperatures from ASTER Data in the Middle Reach of the Heihe River Basin, Northwest China. Remote Sensing 7, 7126–7156. doi:10.3390/rs70607126
5、Ma, Y., Liu, S., Zhang, F., Zhou, J., Jia, Z., Song, L., 2015. Estimations of Regional Surface Energy Fluxes Over Heterogeneous Oasis-Desert Surfaces in the Middle Reaches of the Heihe River During HiWATER-MUSOEXE. IEEE Geoscience and Remote Sensing Letters 12, 671–675. doi:10.1109/LGRS.2014.2356652
6、Zhou, J., Zhang, X., Zhan, W., Zhang, H., 2014. Land Surface Temperature Retrieval from MODIS Data by Integrating Regression Models and the Genetic Algorithm in an Arid Region. Remote Sensing 6, 5344.
7、Zhan, W., Zhou, J., Ju, W., Li, M., Sandholt, I., Voogt, J., Yu, C., 2014. Remotely sensed soil temperatures beneath snow-free skin-surface using thermal observations from tandem polar-orbiting satellites: An analytical three-time-scale model. Remote Sensing of Environment 143, 1–14. doi:http://dx.doi.org/10.1016/j.rse.2013.12.004
8、Zhou, G., Wang, B., Zhou, J., 2014. Automatic Registration of Tree Point Clouds From Terrestrial LiDAR Scanning for Reconstructing the Ground Scene of Vegetated Surfaces. IEEE Geoscience and Remote Sensing Letters 11, 1654–1658. doi:10.1109/LGRS.2014.2314179
9、Zhou, J., Chen, Y., Zhang, X., Zhan, W., 2013. Modelling the diurnal variations of urban heat islands with multi-source satellite data. International Journal of Remote Sensing 34, 7568–7588. doi:10.1080/01431161.2013.821576
10、Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J., Li, J., 2013. Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats. Remote Sensing of Environment 131, 119–139. doi:http://dx.doi.org/10.1016/j.rse.2012.12.014
11、Zhou, J., Li, J., Zhang, L., Hu, D., Zhan, W., 2012. Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere. International Journal of Remote Sensing 33, 2582–2602. doi:10.1080/01431161.2011.617396
12、Hu, D., Yang, L., Zhou, J., Deng, L., 2012. Estimation of urban energy heat flux and anthropogenic heat discharge using aster image and meteorological data: case study in Beijing metropolitan area. J. Appl. Remote Sens 6, 63559–1. doi:10.1117/1.JRS.6.063559
13、Zhou, J., Chen, Y., Wang, J., Zhan, W., 2011. Maximum Nighttime Urban Heat Island (UHI) Intensity Simulation by Integrating Remotely Sensed Data and Meteorological Observations. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4, 138–146. doi:10.1109/JSTARS.2010.2070871
14、Zhou, J., Hu, D., Weng, Q., 2010. Analysis of surface radiation budget during the summer and winter in the metropolitan area of Beijing, China. Journal of Applied Remote Sensing 4, 43513. doi:10.1117/1.3374329