3-people

People

Academic Staff
Prof.-Zhou-400x533

Prof. Zhou Qiming (周啓鳴教授)

Professor
Associate Dean (Research) of
the Faculty of Social Science

Geographic Information Systems

Office:
AAB 1225
Tel:
(852) 3411 5048
Fax:
(852) 3411 5990

BIOGRAPHY

Qiming ZHOU is a professor of geography and Associate Dean of Faculty of Social Science (Research) and Director of Centre for Geo-Computation Studies at Hong Kong Baptist University. His research interests cover a broad area of geo-spatial information science, particularly in geo-computation and remote sensing applications. He has been actively engaged in research such as digital terrain analysis, landuse and land cover change detection, spatio-temporal pattern analysis in multi-temporal remote sensing, monitoring and modeling impacts of climate change, and GIS and remote sensing applications to urban, environment and natural resource management. Prof Zhou has published widely in fields of GIS, terrain analysis, remote sensing change detection, climate change and spatio-temporal modelling. He currently holds visiting professorships at 2 universities/research institutions, and serves as Asia and Australasia Editor of Transactions in GIS and editorial board members of 6 academic journals.

 


EDUCATION

  • Ph.D., University of New South Wales, Australia (1990)
  • B.Sc., Beijing Normal University, China (1982)

 


TEACHING

  • Cartography
  • Geographic Information Systems
  • Remote Sensing and Image Interpretation

 


RESEARCH INTERESTS

  • Change detection and land cover modelling with remote sensing
  • Digital terrain analysis and hydrological modelling
  • Climate change and its impacts on water resources and ecosystems
  • Aridzone studies

 


AWARDS

2018, Shenzhen Science and Technology Progress Award, The first awardee, The Government of Shenzhen City; 深圳市科学技术进步奖:《丝绸之路经济带生态环境遥感监测与辅助决策平台及其在中亚国家的应用》,第一完成人,深圳市政府。

 


ORCID: 0000-0003-0934-0602    Self Photos / Files - qiming-orcid

 


 

2020, Assessment of water resource change over Central Asian aridzone using remote sensing, global hydrological models and machine learning approach, Hong Kong General Research Fund (12301820)

2019, Evaluation of terrestrial water resources and its response to climate change in Central Asia 《中亚干旱区陆地水资源评估及其对气候变化的响应》, Natural Science Foundation of China, (41971386)

2014, Investigation of high-performance digital terrain analysis and landslide susceptibility 《高性能数字地形分析与滑坡敏感性研究》, Natural Science Foundation of China, (41471340)

2013, Investigation of the scale-adaptive digital terrain analysis method for rainfall-runoff process modelling in the aridzone of China, Hong Kong General Research Fund (203913)

Zhou, Q. and Li, J., 2020, Geo-spatial analysis in hydrology, ISPRS International Journal of Geo-Information, 9, 435; doi:10.3390/ijgi9070435.

Sun, B., Zhang, Y., Zhou, Q.*, Gao, D., 2020, Street-scale analysis of population exposure to light pollution based on remote sensing and mobile big data – Shenzhen city as a case, Sensors, 20, 2728; doi: 10.3390/s20092728.

Li, J.*, Gan, T.Y., Chen, Y., Gu, X., Hu, Z., Zhou, Q., Lai, Y., 2020, Tackling resolution mismatch of precipitation extremes from gridded GCMs and site-scale observations: implication to assessment and future projection, Atmospheric Research, 239 (2020) 104908; doi: 10.1016/j.atmosres.2020.104908.

Peng Gong, Bin Chen, Xuecao Li, Han Liu, Jie Wang, Yuqi Bai, Jingming Chen, Xi Chen, Shuailong Feng, Yongjiu Feng, Yali Gong, Hao Gu, Huabing Huang, Xiaochun Huang, Hongzan Jiao, Yingdong Kang, Guangbin Lei, Ainong Li, Xiaoting Li, Xun Li, Yuechen Li, Zhilin Li, Zhongde Li, Chong Liu, Chunxia Liu, Maochou Liu, Shuguang Liu, Wanliu Mao, Changhong Miao, Hao Ni, Qishen Pan, Shuhua Qi, Zhehao Ren, Zhuoran Shan, Shaoqing Shen, Minjun Shi, Yimeng Song, Mo Su, Hoi Ping Suen, Bo Sun, Fangdi Sun, Jian Sun, Lin Sun, Wenyao Sun, Tian Tian, Xiaohua Tong, Yihsing Tseng, Ying Tu, Hong Wang, Lan Wang, Xi Wang, Zongming Wang, Tinghai Wu, Yaowen Xie, Jun Yang, Man Yuan, Wenze Yue, Hongda Zeng, Kuo Zhang, Neng Zhang, Tao Zhang, Yu Zhang, Feng Zhao, Yichen Zhen, Qiming Zhou, Nicholas Clinton, Zhiliang Zhu, Bing Xu*, 2020, Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018, Science Bulletin, 65(3), 182-187; doi: 10.1016/j.scib.2019.12.007.

Sun, B., Qian, J.*, Chen, X., Xing, X., Zhou, Q., 2020, Consistency and comparison among remote sensing drought indices and SMAP soil moisture in Kazakhstan (遥感干旱指数在哈萨克斯坦的一致性对比分析), Arid Zone Research《干旱区研究》,37(3): 663-670; doi: 10.13866/j.azr.2020.03.14.

Hu, Z., Zhou, Q., Chen, X., Chen, D., Li, J., Guo, M., Yin, G., Duan, Z., 2019, Groundwater depletion estimated from GRACE: A challenge of sustainable development in an arid region of Central Asia, Remote Sensing, 2019(11): 1908, doi: 10.3390/rs11161908.

Zhang, F., Zhou, Q., 2019, Parallelization of the flow-path network model using a particle-set strategy, International Journal of Geographical Information Science, 33(10), 1984-2010, doi: 10.1080/13658816.2019.1599126.

Liu, H., Zhou, Q., Li, Q., Hu, S., Shi, T., Wu, G.*, 2019, Determining switching threshold for NIR-SWIR combined atmospheric correction algorithm of ocean color remote sensing, ISPRS Journal of Photogrammetry and Remote Sensing, 159: 59-73, doi: 10.1016/j.isprsjprs.2019.04.013.

Hu, Z., Chen, X., Zhou, Q., Chen, D., Li, J., 2019, DISO-Table: A rethink of Taylor diagram, International Journal of Climatology, 39(5): 2825-2832, doi: 10.1002/joc.5972.

Liu, H., Hu, S., Zhou, Q., Li, Q., Wu, G., 2019, Revisiting effectiveness of turbidity index for NIR-SWIR ocean color atmospheric correction switching scheme, International Journal of Applied Earth Observation and Geoinformation, 76: 1-9, doi: 10.1016/j.jag.2018.10.010.

Hu, Z., Chen, X. Chen, D., Li, J., Wang, S., Zhou, Q., Yin, G., Guo, M., 2019, “Dry gets drier, wet gets wetter”: a case study over the arid regions of Central Asia, International Journal of Climatology, 39(2): 1072-1091, doi: 10.1002/joc.5863.

Hu, Z., Zhou, Q., Chen, X., Li, Q., Liu, W., Li, J., 2018, Evaluation of three global gridded precipitation datasets in Central Asia based on rain gauge observations, International Journal of Climatology, 38(9): 3475-3493, doi: 10.1002/joc.5510.

Chen, X., Wang, S., Hu, Z., Zhou Q., Hu, Q., 2018, Spatiotemporal characteristics of seasonal precipitation and their relationships with ENSO in Central Asia during 1901–2013, Journal of Geographical Sciences, 28(9): 1341-1368, doi: 10.1007/s11442-018-1529-2.

Zhang, F., Zhou, Q., Liu, J., Li, Q., Wu, G., 2018, An enhanced approach for surface flow routing on triangulated irregular networks, Transactions in GIS,  22(1):43–57. doi: 10.1111/tgis.12294.

Hu, Z., Hu, R., Zhou, Q., Chen, X., Yin, G., Qian, J., 2018, The spatio-temporal dry and wet pattern in central Asia (亚洲中部干旱区干湿时空变化特征),Arid Zone Research《干旱区研究》, 2018(02): 260-268, doi:  10.13866/j.azr.2018.02.02.

Hu, Z., Teng, Z., Zhang, T. Zhou, Q., Chen, X., 2017, Globally asymptotically stable analysis in a discrete time eco-epidemiological system, Chaos, Solitons and Fractals, 99 (2017) 20–31, doi:10.1016/j.chaos.2017.03.042.

Liu, H., Li, Q., Shi, T., Hu, S., Wu, G., Zhou, Q., 2017, Development and application of Sentinel 2 MSI-based suspended particulate matter concentration models of Poyang Lake, Remote Sensing, 9, 761; doi:10.3390/rs9070761.

Hu, Z., Zhou, Q., Chen, X., Qian, C., Wang, S. and Li, J., 2017, Variations and changes of annual precipitation in Central Asia over the last century, International Journal of Climatology, 37: 157–170. doi:10.1002/joc.4988.

Zhang, F., Zhou, Q., 2017, Application progress of terrain analysis in watershed hydrologic modeling (地形分析在流域水文建模中的应用进展), Geography and Geo-Information Science 《地理与地理信息科学》, 33(4): 8-15, doi: 10.3969/j.issn.1672-0504.2017.04.002.

Zhou, Q., 2017, Digital elevation model and digital surface model, in Richardson, D., Castree, N., Goodchild, M.F., Kobayashi, A., Liu, W., and Marston, R.A. (eds.), The International Encyclopaedia of Geography, John Wiley & Sons, doi: 10.1002/9781118786352.wbieg0768.

Sun, B., Chen, X. and Zhou, Q., 2017, Analyzing the uncertainties of ground validation for remote sensing land cover mapping in the era of big geographic data, in Zhou, C., Su, F., Harvey, F., Xu, J. (eds.), Spatial Data Handling in Big Data Era, Springer, Singapore: 31-38, doi:10.1007/978-981-10-4424-3_3.

Sun, B. and Zhou, Q., 2016, Expressing the spatio-temporal pattern of farmland change using landscape metrics, Journal of Arid Environments, 124(1): 118-127, 10.1016/j.jaridenv.2015.08.007.