Education

  1. 2008.09-2014.07  Ph.D. Physical Geography, University of Chinese Academy of Sciences, Beijing, China
  2. 2012.10-2014.03  Visiting scholar, USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, Maryland, USA
  3. 2004.09-2008.06  B.S. Physical Geography, Sun Yat-sen University, Guangdong, China
  4. 2006.08-2006.12  Exchange program, Department of Geography, Hong Kong Baptist University, HK, China

 

Professional Experience

  1. 2023.06-present    Professor, School of Geography and Planning, Sun Yat-sen University
  2. 2017.01-2023.05   Associate Professor, School of Geography and Planning, Sun Yat-sen University
  3. 2014.12-2016.12   Lecturer, School of Geography and Planning, Sun Yat-sen University

 

Public Service

  1. Peerreviewer for 30+ journalsincluding: Nature Climate Change, PNAS, Remote Sensing of Environment (>7 articles), Global Change Biology, ISPRS Journal of Photogrammetry and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Hydrology and Earth System Sciences, GIScience Remote Sensing, Climate Dynamics, Science of The Total Environment, Environmental Research Letters, Journal of Hydrology, Journal of Hydrometeorology, International Journal of Digital Earth, Journal of Cleaner Production, Remote Sensing Applications: Society and Environment,Agricultural Water Management, Journal of Hydrology: Regional Studies, International Journal of Remote Sensing, Hydrology Research, Marine and Freshwater Research, Frontiers of Earth Science, Meteorological Applications, Advances in Meteorology
  2. Chinese National Committee for International Association of Hydrological Sciences (CNC-IAHS) member；AMS member

 

Teaching Courses

  1. Geographical Data Analysis with MATLAB; English for Geography Major
  2. Tutoring Outstanding Undergraduate Thesis of SYSU（2016/2017/2019）

 

Selected Publications

  1. Qiu J.*, C. He, X. Liu, L.Gao, C. Tan, X. Wang, D. Kong, J. P. Wigneron, D. Chen, J. Xia, Projecting Dry-Wet Abrupt Alternation across China from the perspective of soil moisture, npj Climate and Atmospheric Science, 2024, 7(1), 269,doi:10.1038/s41612-024-00808-w.
  2. Feng S., G. Lun, J. Qiu*, X. Liu,  W. T. Crow, T. Zhao, C. Tan, S. Wang, J. P. Wigneron, Can real-time NDVI observations better constrain SMAP soil moisture retrievals? Remote Sensing of Environment, 2025, 318, 114569, doi:10.1016/j.rse.2024.114569.
  3. Xiong Z. , Z. Zhang, H. Gui, S. Hu, X. Chen, L. Gao, Y.  He, J. Qiu*,Q. Xin*, A meteorology-driven Transformer network to predict soil moisture for agriculture drought forecasting, IEEE Transactions on Geoscience and Remote Sensing, 2025, 63, 1-18, 4405818, doi:10.1109/TGRS.2025.3543611.
  4. Ren Y., J. Qiu*, Z. Zeng, X. Liu, S. Sitch, K. Pilegaard, T. Yang, S. Wang, W. Yuan, A. K. Jain, Earlier spring greening in Northern Hemisphere terrestrial biomes enhanced net ecosystem productivity in summer, Communications Earth & Environment, 2024, 5(1), 122, doi:10.1038/s43247-024-01270-5. (ESI Highly Cited Paper).
  5. Mai R., Q. Xin, J. Qiu*, Q. Wang, P. Zhu, High spatial resolution soil moisture improves crop yield estimation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17, 19067–19077, doi:10.1109/JSTARS.2024.3417424.
  6. Zhang J., D. Kong, J. Li, J. Qiu, Y. Zhang, X. Gu, M. Guo, Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation, Journal of Hydrology, 2024, 650, 132549, doi: 10.1016/j.jhydrol.2024.132549.
  7. Xu F., Y. Qu, V. A. Bento, H. Song, J. Qiu, J. Qi, L. Wan, R. Zhang, L. Miao, X. Zhang, Q. Wang, Understanding climate change impacts on drought in China over the 21st century: a multi-model assessment from CMIP6, npj Climate and Atmospheric Science, 2024, 7(1), 32, doi:10.1038/s41612-024-00578-5. (ESI Highly Cited Paper; ESI Hot Paper).
  8. Qiu J.*, S. Feng, W. Yuan, Upward-moving mountain treelines: An indicator of changing climate, Global Change Biology, 2023,29, 6832–6833,doi:10.1111/gcb.16954.
  9. Feng S., J. Qiu*, W. T. Crow, X. Mo, S. Liu, W. Sheng, G. Lun, X. Wang, S. Chen, Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland, Journal of Hydrology, 2023, 617, 129015,doi:10.1016/j.jhydrol.2022.129015.
  10. Wang Z., Y. Zhang, G. Govers, G. Tang, T. Quine, J. Qiu, A. Navas, H. Fang, Q. Tan, K. V. Oost., Temperature effect on erosion-induced disturbances to soil organic carbon cycling, Nature Climate Change, 2023, 13, 174–181,doi:10.1038/s41558-022-01562-8.
  11. Zhang Z., D. Wang, X. Wu, Y. Mei, J. Qiu, J. Zhu, Unveiling flood-generating mechanisms using circular statistics-based machine learning approach without the need for discharge data during inference, Hydrology Research, 2023, 54(10), 1181–1195, doi:10.2166/nh.2023.058.
  12. Lin Y., D. Wang, Y. Meng, W. Sun, J. Qiu, W. Shangguan, J. Cai, Y. Kim, Y. Dai, Bias learning improves data driven models for streamflow prediction, Journal of Hydrology: Regional Studies, 2023, 50, 101557, doi: 10.1016/j.ejrh.2023.101557.
  13. Pan Y., R. Yang, J. Qiu, J. Wang, J. Wu, Forty-year spatio-temporal dynamics of agricultural climate suitability in China reveal shifted major crop production areas, CATENA, 2023, 226, 107073,doi: 10.1016/j.catena.2023.107073.
  14. Wan L., V. A. Bento, Y. Qu, J. Qiu, H. Song, R. Zhang, X. Wu, F. Xu, J. Lu, Q. Wang, Drought characteristics and dominant factors across China: Insights from high-resolution daily SPEI dataset between 1979 and 2018, Science of The Total Environment, 2023,901,166362, doi: 10.1016/j.scitotenv.2023.166362.(ESI Highly Cited Paper).
  15. Zhang R., Bento V. A., J. Qi, F. Xu, J. Wu, J. Qiu, J. Li, W. Shui, Q. Wang, The first high spatial resolution multi-scale daily SPI and SPEI raster dataset for drought monitoring and evaluating over China from 1979 to 2018, Big Earth Data, 2023, 7(3),860–885,doi: 10.1080/20964471.2022.2148331.
  16. Weng X., B. Zhang, J. Zhu, D. Wang,J. Qiu, Assessing land use and climate change impacts on soil erosion caused by water in China, Sustainability, 2023, 15, 7865,doi: 10.3390/su15107865.
  17. Li Q., G. Shi, W. Shangguan, J. Li, L. Li, F. Huang, Y. Zhang, C. Wang, D. Wang, J. Qiu, X. Lu, Y. Dai, A 1-km daily soil moisture dataset of China based on in-situ measurement using machine learning, Earth System Science Data, 2022, 14(2), 5267–5286, doi: 10.5194/essd-14-5267-2022.(ESI Highly Cited Paper).
  18. Yang Y., S. Huang, J. Qiu*, C. Liu, W. Jiang, A surface water mapping framework combining optical and radar remote sensing and its application in China, Geocarto International, 2022, 37(27), 17547–17564,doi:10.1080/10106049.2022.2129836.
  19. Wu Z., J. Qiu*, W. T. Crow, D. Wang, Z. Wang, X. Zhang, Investigating the efficacy of the SMAP downscaled soil moisture product for drought monitoring based on information theory, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15, 1604–1616, doi: 10.1109/JSTARS.2021.3136565.
  20. Qiu J.*, W. T. Crow, S. Wang, J. Dong, Y. Li, M. Garcia, W. Shangguan, Microwave-based soil moisture improves estimates of vegetation response to drought in China, Scienceof TheTotalEnvironment, 2022, 849, 157535,doi: 10.1016/j.scitotenv.2022.157535.
  21. Dong J., W. T. Crow, X. Chen, N. Tangdamrongsub, M. Gao, S. Sun, J. Qiu, L. Wei, H. Gao, Z. Duan, Statistical uncertainty analysis-based precipitation merging (SUPER): A new framework for improved global precipitation estimation, Remote Sensing of Environment, 2022, 283: 113299, doi: 10.1016/j.rse.2022.113299.
  22. Wang P., X. Tong, J. Qiu, Y. Chen, S. Wu, T. O. Chan, J. Zhu, Z. Liu, H. Zhang, M. Luo, Amplification effect of urbanization on atmospheric aridity over China under past global warming. Earth's Future, 2022, 10(5), e2021EF002335, doi: 10.1029/2021EF002335.
  23. Liang L., Y. Feng, J. Wu, X. He, S. Liang, X. Jiang, G. de Oliveira, J. Qiu, Z. Zeng, Evaluation of ECOSTRESS evapotranspiration estimates over heterogeneous landscapes in the continental US, Journal of Hydrology, 2022, 613, 128470, doi: 10.1016/j.jhydrol.2022.128470.
  24. Qiu J.*, J. Dong, W. T. Crow, X. Zhang, R. H. Reichle, and G. J. M. De Lannoy, The benefit of brightness temperature assimilation for the SMAP Level-4 surface and root-zone soil moisture analysis, Hydrology and Earth System Sciences, 2021, 25(3), 1569–1586, doi: 10.5194/hess-25-1569-2021.
  25. Zhang Z., D. Wang, J. Qiu, J. Zhu, T. Wang, Machine learning approaches for improving near-real-time IMERG rainfall estimates by integrating cloud properties from NOAA CDR PATMOS-x, Journal of Hydrometeorology, 2021, 22(10), 2767–2781, doi: 10.1175/JHM-D-21-0019.1.
  26. Wang Z., T. Zhao, J. Qiu, X. Zhao, Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands, GIScience & Remote Sensing, 2021, 58(1), 48–67, doi: 15481603.2020.1857123.
  27. Lin Y., D. Wang, G. Wang, J. Qiu, K. Long, Y. Du, H. Xie, Z. Wei, W. Shangguan, Y. Dai, A hybrid deep learning algorithm and its application to streamflow prediction, Journal of Hydrology, 2021, 601, 126636, doi: 10.1016/j.jhydrol.2021.126636.
  28. Qiu J.*, W. T. Crow, J. Dong, G. S. Nearing, Model representation of the coupling between evapotranspiration and soil water content at different depths, Hydrology and Earth System Sciences, 2020, 24(2), 581–594, doi: 10.5194/hess-24-581-2020.
  29. Wang Z.*, J. Qiu*, K. vanOost, A multi-isotope model for simulating soil organic carbon cycling in eroding landscapes (WATEM_C v1.0). Geoscientific Model Development, 2020, 13(10), 4977–4992, doi: 10.5194/gmd-13-4977-2020.
  30. Qiu J.*, W. T. Crow, W. Wagner, T. Zhao, Effect of vegetation index choice on soil moisture retrievals via the synergistic use of synthetic aperture radar and optical remote sensing. International Journal of Applied Earth Observation and Geoinformation, 2019, 80, 47–57, doi: 10.1016/j.jag.2019.03.015.
  31. Zhang Z., D. Wang, G. Wang, J. Qiu, W. Liao, Use of SMAP soil moisture and fitting methods in improving GPM estimation in near real time. Remote Sensing, 2019, 11(3), 368, doi: 10.3390/rs11030368.
  32. Yang Y., J. Qiu*, R. Zhang, S. Huang, S. Chen, H. Wang, J. Luo, Y. Fan, Intercomparison of three two-source energy balance models for partitioning evaporation and transpiration in semiarid climates. Remote Sensing, 2018, 10(7), 1149, doi: 10.3390/rs10071149.
  33. Yang Y., J. Qiu*, H. Su, Jing. T, R. Zhang, Estimation of surface soil moisture based on thermal remote sensing:Intercomparison of four methods, Journal of Infrared and Millimeter Waves, 2018, 37(4), 459–467, doi: 10.11972/j.issn.1001-9014.2018.04.014.
  34. Zhang X., J. Qiu*, G. Leng, Y. Yang, Q. Gao, Y. Fan, J. Luo, The potential utility of satellite soil moisture retrievals for detecting irrigation patterns in China. Water, 2018, 10(11), 1505, doi: 10.3390/w10111505.
  35. Wang P., Y. Zhou, Z. Huo, L. Han, J. Qiu, Y. Tan, D. Liu, Monitoring growth condition of spring maize in Northeast China using a process-based model. International Journal of Applied Earth Observation and Geoinformation, 2018, 66, 27–36, doi: 10.1016/j.jag.2017.11.001.
  36. Yang Y., J. Qiu*, H. Su, Q. Bai, S. Liu, L. Li, Y. Yu, Y. Huang, A one-source approach for estimating land surface heat fluxes using remotely sensed land surface temperature. Remote Sensing, 2017, 9(1), 43, doi: 10.3390/rs9010043.
  37. Wang P., J. Qiu*, Z. Huo, M. Anderson, Y. Zhou, Y. Bai, T. Liu, S. Ren, R. Feng P. Chen, Temporal downscaling of crop coefficients for winter wheat in the North China Plain: A case study at the Gucheng agro-meteorological experimental station. Water, 2017, 9(3), 155, doi: 10.3390/w9030155.
  38. Yan L., R. He, M. Kašanin-Grubin, G. Luo, H. Peng*, J. Qiu*, The dynamic change of vegetation cover and associated driving forces in Nanxiong Basin, China. Sustainability, 2017, 9(3), 443, doi: 10.3390/su9030443.
  39. Qiu J.*, W. T. Crow, G. S. Nearing, The impact of vertical measurement depth on the information content of soil moisture for latent heat flux estimation. Journal of Hydrometeorology, 2016, 17(9), 2419–2430, doi: 10.1175/JHM-D-16-0044.1.
  40. Qiu J.*, Q. Gao, S. Wang, Z. Su, Comparison of temporal trends from multiple soil moisture data sets and precipitation: The implication of irrigation on regional soil moisture trend. International Journal of Applied Earth Observation and Geoinformation, 2016, 48, 17–27, doi: 10.1016/j.jag.2015.11.012.
  41. Zeng J., Z. Li, Q. Chen, H. Bi, J. Qiu, P. Zou, Evaluation of remotely sensed and reanalysis soil moisture products over the Tibetan Plateau using in-situ observations. Remote Sensing of Environment, 2015, 163, 91–110, doi: 10.1016/j.rse.2015.03.008.(ESI highly cited paper).
  42. Wang S., S. Liu, X. Mo, B. Peng, J. Qiu, M. Li, C. Liu, Z. Wang, P. Bauer-Gottwein, Evaluation of remotely sensed precipitation and its performance for streamflow simulations in basins of the southeast Tibetan Plateau. Journal of Hydrometeorology, 2015, 16, 2577–2594, doi: 10.1175/JHM-D-14-0166.1.
  43. Zhang X., L. Jiang, X. Qiu, J. Qiu, J. Wang, Y. Zhu, An improved method of delineating rectangular management zones using a semivariogram-based technique. Computers and Electronicsin Agriculture,2015,121,74–83,doi: 10.1016/j.compag.2015.11.016.
  44. Qiu J., W. T. Crow, G. S. Nearing, X. Mo, S. Liu, The impact of vertical measurement depth on the information content of soil moisture time series data. Geophysical Research Letters, 2014, 41(14), 4997–5004, doi: 10.1002/2014GL060017.
  45. Qiu J., W. T. Crow, X. Mo, S. Liu, The impact of temporal auto-correlation mismatches on the assimilation of satellite-derived surface soil moisture retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(8), 3534–3542, doi: 10.1109/JSTARS.2014.2349354.
  46. Qiu J., X. Mo, S. Liu, Z. Lin, Exploring spatiotemporal patterns and physical controls of soil moisture at various spatial scales. Theoretical and Applied Climatology, 2014, 118(1-2), 159–171, doi: 10.1007/s00704-013-1050-6.
  47. Qiu J., X. Mo, S. Liu, Z. Lin, L.Yang, X. Song, G. Zhang, V. Naeimi, W. Wagner, Intercomparison of microwave remote sensing soil moisture data sets based on distributed eco-hydrological model simulation and in-situ measurements over the North China Plain. International Journal of Remote Sensing, 2013, 34(19), 6587–6610, doi: 10.1080/01431161.2013.788799.
  48. Hu S., X. Mo, Z. Lin, J. Qiu, Emerge assessment of a wheat-maize rotation system with different water assignments in the North China Plain. Environmental Management, 2010, 46(4), 643–657, doi: 10.1007/s00267-010-9543-x.
  49. Yang T., J. Qiu*, G. Xiao, Agricultural drought monitoring and winter wheat yield estimation in North China using information optical properties and soil moisture, Acta Ecologica Sinica (in Chinese), 2022, 43(5), 1–12.
  50. Wang Z., S. Liu, J. Qiu, X. Mo, Spatiotemporal variation of water storage in 1-m soil layer in China from 1980 to 2019, Geographical Research (in Chinese), 2022, 41(11), 2979–2999.
  51. Yang Y., T. Gu, D. Wu, A. Long, J. Qiu, H. Liu,Irrigation signal analysis and irrigated area extraction based on optical and radar remote sensing:A case study of Ciyou irrigation area, Lingshou County, North China Plain, Journal of Hydraulic Engineering (in Chinese), 2022, 53(9), 1039–1048.
  52. Cai J., J. Qiu*,D. Wang,K. Lin, K. Yang, Q. Zeng,Forest fire prediction based on soil moisture and meteorological factors: a case study of Guangdong Province. Scientia Geographica Sinica (in Chinese), 2021, 41(9), 1676–1686.
  53. Wu Z., J. Qiu*, X. Mo, S. Liu, Z. Lin, Advances in agricultural drought monitoring based on soil moisture. Progress in Geography(in Chinese), 2020, 39(10), 1758–1769.
  54. Luo J., J. Qiu, T. Zhao, D. Wang, Sentinel-1 based soil moisture estimation in middle reaches of Heihe river basin. Remote Sensing Technology and Application (in Chinese), 2020, 35(1): 23–32.
  55. Fan Y., J. Qiu, J. Dong, X. Zhang, D. Wang, Error characteristics of microwave soil moisture products based on triple collocation and its spatial-temporal pattern. Remote Sensing Technology and Application (in Chinese), 2020, 35(1): 85–96.
  56. Mi W., J. Qiu*, Applicability of meteorological drought indices in Hebei Province. Journal of China Hydrology(in Chinese),2022, 42(3), 53–60.
  57. Wang S., J. Qiu, D. Wang, Spatio-temporal variation of drought in Guangdong Province from 1960 to 2014. Tropical Geography (in Chinese), 2020, 40(2): 357–366.
  58. Liu S., J. Qiu, X. Mo, Wind velocity variation from 1951 to 2006 in the North China Plain. Resources Science (in Chinese), 2009, 31(9), 1486–1492.
  59. Mo X.,S. Liu, Z. Lin, J. Qiu, Patterns of evapotranspiration and GPP and their responses to climate variations over the North China Plain. Acta Geographica Sinica(in Chinese), 2011, 66(5), 589–598 .
  60. Shu C., S. Liu, X. Mo,C. Zheng, S. Zhang, J. Qiu, Estimation of instream ecological flow based on RVA. Ecology and Environmental Sciences (in Chinese), 2010, 19(5), 1151–1155.

 

Research Projects (only list PI projects)

  1. National Natural Science Foundation of China, High-resolution soil moisture retrieval based on multi-source remote sensing datasets and its drought monitoring application. 
  2. National Natural Science Foundation of China, Root-zone soil moisture forecast accounting for the impact of temporal autocorrelation mismatch between model background field and multi-source observations during data assimilation.
  3. Natural Science Foundation of Guangdong Province, China, Investigation of soil erosion in redbed region of humid Southeast China based on remote sensing and GIS technique.

  4. Fundamental Research Funds for the Central Universities, Assimilation of multi-source remote sensing data for prediction of soil moisture and its application in humid South China.