Peer-reviewed Journal Publication
* denotes graduate student first authored paper, including who I serve as the chair or member of their thesis/dissertation committee, or visiting student.
Publication in Research ID Google Scholar
2025 | 53. *Wenxiu Teng, Qian Yu, Brian Yellen, and Jon Woodruff, High Resolution Mapping of Suspended Sediments in River, Marsh, and Ocean influenced Coastal Water Using Land-viewing Satellites: Adapt to Sediment Composition, Remote Sensing of Environment, In revision. 52. *Teng, W., Yu, Q., Yellen, B., Turek, B., & Woodruff, J. D. (2025). Blue carbon mapping using temporally optimized satellite remote sensing imagery: A regional study of Northeast US salt marshes. Journal of Geophysical Research: Biogeosciences, 130, e2024JG008254. https://doi.org/10.1029/2024JG008254 51. *Turek, B., Teng, W., Yu, Q., Yellen, B., &Woodruff, J. (2025). Modeling spatial distributions of salt marsh blue carbon using morphometric parameters from lidar. Journal of Geophysical Research: Earth Surface, 130, e2024JF007676. https://doi.org/10.1029/2024JF007676 |
2024 | 50. *Wenxiu Teng, Qian Yu, Ivan C. Mischenko, Alexandrea M. Rice, and Justin B. Richardson, Predicting Foliar Nutrient Concentrations across Geologic Materials and Tree Genera in the Northeastern United States Using Spectral Reflectance and Partial Least Squares Regression Models, Journal of Remote Sensing, 2024, https://doi.org/10.34133/remotesensing.0093 |
2023 | 49. Yong Q. Tian, Qian Yu, Hunter Carrick, Brian Becker, Remegio Confesor, Mark Frencek, Olivia Anderson, Analysis of spatiotemporal variation in dissolved organic carbon concentrations for streams with cropland-dominated watersheds, Science of the Total Environment, 2023, (PDF) https://doi.org/10.1016/j.scitotenv.2022.160744. |
2022 | 48. *Ouyang, Linke, Caiyan Wu, Junxiang Li, Yuhan Liu, Meng Wang, Ji Han, Conghe Song, Qian Yu, and Dagmar Haase. Mapping Impervious Surface Using Phenology-Integrated and Fisher Transformed Linear Spectral Mixture Analysis. Remote Sensing, 14, no. 7 (2022): 1673. (PDF) https://doi.org/10.3390/rs14071673 47. Jiang Chen, Weining Zhu, and Qian Yu, High-spatiotemporal-resolution estimation of solar energy component in the United States using a new satellite-based model, Journal of Environmental Management, Vol 302, Part B, 15 January 2022, 114077, https://doi.org/10.1016/j.jenvman.2021.114077 |
2021 | 46. Jiang Chen, Weining Zhu, and Qian Yu, Estimating half-hourly solar radiation over the Continental United States using GOES-16 data with iterative random forest, Renewable Energy, Vol 178, November 2021, Pages 916-929. https://doi.org/10.1016/j.renene.2021.06.129 45. Cawse-Nicholson et al, NASA’s surface biology and geology designated observable: A perspective on surface imaging algorithms, Remote Sensing of Environment, 257, 112349, https://doi.org/10.1016/j.rse.2021.112349 44. *Thaler, Evan A., Isaac J. Larsen, and Qian Yu. “The extent of soil loss across the US Corn Belt.”, Proceedings of the National Academy of Sciences, 118.8 (2021). https://doi.org/10.1073/pnas.1922375118 |
2020 | 43. Zhang, Y., Zhou, L., Zhou, Y., Zhang, L., Yao, X., Shi, K., Jeppesen, E., Yu, Q. and Zhu, W., 2020. Chromophoric dissolved organic matter in inland waters: present knowledge and future challenges. Science of The Total Environment, p.143550. https://doi.org/10.1016/j.scitotenv.2020.143550 42. Jiang Chen, Weining Zhu, Yong Tian, and Qian Yu, Monitoring dissolved organic carbon by combining Landsat-8 and Sentinel-2 satellites: Case study in Saginaw River estuary, Lake Huron, Science of the Total Environment, 718. (PDF) https://doi.org/10.1016/j.scitotenv.2020.137374 |
2019 | 41. *Evan Thaler, Isaac Larsen and Qian Yu, A New Index for Remote Sensing of Soil Organic Carbon Based Solely on Visible Wavelengths, Soil Science Society of America Journal, 83(5), p. 1443-1450. (PDF) 40. David F. Boutt, Stephen B. Mabee, and Qian Yu, 2019, Multi‐year increase in the stable isotopic composition of stream water from groundwater recharge due to extreme precipitation, Geophysical Research Letters, 10.1029/2019GL082828. (PDF) https://doi.org/10.1029/2019GL082828 |
2018 | 39. *Jiwei Li, Qian Yu, Yong Q. Tian , Brian L. Becker, Paul Siqueira, and Nathan Torbick, 2018, Spatio-temporal Variations of CDOM in Shallow Inland Waters from a Semi-analytical Inversion of Landsat-8, Remote Sensing of Environment, 218, 189-200.(PDF) Access online 38. *Jiwei Li, Qian Yu, Yong Q. Tian, David F. Boutt, 2018, Effects of landcover, soil property and temperature on co-variations of DOC and CDOM in inland waters, Journal of Geophysical Research – Biogeosciences, 10.1002/2017JG004179. (PDF) Highlighted by AGU EOS Research Spotlight 37. *Meng Li, R. Chu, Q. Yu, A. Islam, S. Chou and S. Shen, 2018, Evaluating Structural, Chlorophyll-Based and Photochemical Indices to Detect Summer Maize Responses to ContinuousWater Stress, Water, 10, 500; doi:10.3390/w10040500 (PDF) |
2017 | 36. Jiang Chen, Weining Zhu, Yong Q. Tian, Qian Yu, Yuhan Zheng, and Litong Huang, 2017, Remote estimation of colored dissolved organic matter and chlorophyll-a in Lake Huron using Sentinel-2 measurements, Journal of Applied Remote Sensing, 11(3), 036007. (PDF) 35. Qiao, H.J., Y.Q. Tian, Q. Yu, H.J. Carrick and J.W. Li, 2017, Snowpack enhanced dissolved organic carbon export during a variety of hydrologic of events in an agricultural landscape, Midwestern USA, Agricultural and Forest Meteorology, 246, 31-41. (PDF) 34. *Chingwen Cheng, Ethan Yang, Robert Ryan, Qian Yu and Elizabeth Brabec, 2017, Assessing climate change-induced flooding mitigation for adaptation in Boston’s Charles River watershed, USA, Landscape and Urban Planning, 167, 25-36. (PDF) 33. *Jiwei Li, Q. Yu, Y.Q. Tian, and B.L. Becker, 2017, Remote Sensing Estimation of Colored Dissolved Organic Matter (CDOM) in Optically Shallow Waters, ISPRS Journal of Photogrammetry and Remote Sensing, 128, 98-110. (PDF) 32. Jiang Chen, Wei-Ning Zhu, Yong Q. Tian, and Qian Yu, 2017, Estimation of Colored Dissolved Organic Matter From Landsat-8 Imagery for Complex Inland Water: Case Study of Lake Huron, IEEE Transactions on Geoscience and Remote Sensing, 55(4), 2201-2211. (PDF) |
2016 | 31. *Gil, A., Pacheco-Vieira, C., Yu, Q., Lobo, A., & Calado, H. (2016). Mapping the Ecological Structure in Oceanic Islands – the case-study of S. Miguel Island (Portugal). Environmental Engineering and Management Journal, 15(7):1593-1602. |
2015 | 30. *Zhu, W.N., Q. Yu, Y.Q. Tian, B.L. Becker and H.J.Carrick, Issues and Potential Improvement of Multiband Models for Remotely Estimating Chlorophyll-a in Complex Inland Waters, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2), 562-575. (PDF) |
2014 | 29.* Gil, A., Yu, Q., Abadi, M., and Calado, H. (2014). Using ASTER multispectral imagery for mapping woody invasive species in Pico da Vara Natural Reserve (Azores Islands, Portugal). Revista ARVORE, 38: 391-401. DOI: 10.1590/S0100-67622014000300001. (PDF) Available online 28. *Zhu, W.N., Q. Yu, Y.Q. Tian, B.L. Becker, T. Zheng, and H.J.Carrick, 2014, An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments, Remote Sensing of Environment, 140, 766-778. (PDF) |
2013 | 27. *Zhu, W.N., Q. Yu and Y.Q. Tian, 2013, Uncertainty analysis of remote sensing of colored dissolved organic matter: evaluations and comparisons for three rivers in North America, ISPRS Photogrammetry and Remote Sensing, 84, 12-22. (PDF) 26. *Zhu, W.N., Y. Q. Tian, Q. Yu and B. L. Becker, 2013, Using Hyperion Imagery to Monitor the Spatial and Temporal Distribution of Colored Dissolved Organic Matter in Estuarine and Coastal Regions, Remote Sensing of Environment, 134, 342-354. (PDF) 25. Tian Y.Q., Yu Q., Feig A.D., Ye CJ., and Blunden A.M., 2013, Effects of climate and land-surface processes on terrestrial dissolved organic carbon export to major U.S. coastal Rivers, Ecological Engineering, 54, 192-201. (PDF) 24. *Zhu, W.N. and Q. Yu, 2013, Inversion of Chromophoric Dissolved Organic Matter (CDOM) from Hyperspectral Remote Sensing Images for Turbid Estuarine and Coastal Waters, IEEE Transactions of Geoscience and Remote Sensing, 51(6), 3286-3298. (PDF) |
2011 | 23. Zimmerman, M.J., Q. Yu, and Y.Q. Tian, 2011, Monitoring to assess progress toward meeting the Assabet River, Massachusetts, Phosphorus Total Maximum Daily Load – Aquatic macrophyte biomass and sediment-phosphorus flux, U.S. Geological Survey Scientific Investigations Report, 2011-5179, 77p. (available at http://pubs.usgs.gov/sir/2011/5179/) 22. *Gil, A., Q. Yu, A. Lobo, P. Lourenço, L. Silva and H. Calado, 2011, Assessing the effectiveness of high resolution satellite imagery for vegetation mapping in small islands protected areas, Journal of Coastal Research, SI 64, 1663-1667, Szczecin, Poland, ISSN 0749-0208. (PDF) 21. *Zhu, W.N., Q. Yu, Y.Q. Tian, R.F. Chen, and B.G. Gardner, 2011, Estimation of chromophoric dissolved organic matter in the Mississippi and Atchafalaya river plume regions using above‐surface hyperspectral remote sensing, Journal of Geophysical Research-Oceans, 116, C02011, doi:10.1029/2010JC006523. (PDF) 20. Pu, R.L., S. Landry, and Q. Yu, 2011, Object-based urban detailed land cover classification with high spatial resolution IKONOS Imagery, International Journal of Remote Sensing, 32(12), 3285-3308. (PDF) |
2010 | 19. *Zhu, W.N. and Q. Yu, 2010, Spatial chromatic tessellation: structure, topology, interpretation and implication, Annals of GIS, 16(4), 238-254. (Best Student Paper Awards in Geoinformatics 2010) (PDF) 18. Yu, Q., Y. Q. Tian, R.F. Chen, A. Liu, G.B. Gardner and W.N. Zhu, 2010, Functional linear analysis for estimating riverine CDOM in coastal environment using in situ hyperspectral data, Photogrammetric Engineering and Remote Sensing, 76(10), 1147–1158. (2009 Early Career Best Paper Award, AAG Remote Sensing Specialty Group) (PDF) 17. Tian, Y.Q., Q. Yu, , M.J. Zimmerman, S. Flint, and M. C. Waldron, 2010, Differentiating aquatic plant communities and densities in a eutrophic river using hyperspectral and multispectral remote sensing, Freshwater Biology, 55(8), 1658–1673.(PDF) |
2008 | 16. Hui, F.M., B. Xu, H.B. Huang, Q. Yu, and P. Gong, 2008, Modeling spatial-temporal change of Poyang Lake using multi-temporal Landsat imagery, International Journal of Remote Sensing, 29(20), 5767-5784.(PDF) 15. Yang, J., Q. Yu, P. Gong, 2008, Quantifying air pollution removal by green roofs in Chicago, Atmospheric Environment, 42(31), 7266-7273.(PDF) 14. Pu, R.L., P. Gong, and Q. Yu, 2008, Comparative analysis of EO-1 ALI and Hyperion, and Landsat ETM+ data for mapping forest crown closure and leaf area index, Sensors, 8(6), 3744-3766; DOI: 10.3390/s8063744.(PDF) 13. Yu, Q., P. Gong, Y.Q. Tian, R. Pu and J. Yang, 2008, Factors affecting spatial variation of classification uncertainty in an object-based vegetation mapping, Photogrammetric Engineering and Remote Sensing, 74 (8), 1007-1018.(PDF) 12. Ge, S.K., R.I. Carruthers, D.F. Spencer, and Q. Yu, 2008, Canopy assessment of biochemical features by ground-based hyperspectral data for an invasive species, giant reed (Arundo donax), Environmental Monitoring and Assessment,147(1-3):271-278. DOI 10.1007/s10661-007-0119-z.(PDF) 11. *He, H.M., Q. Yu, J. Zhou, Y.Q. Tian and R.F. Chen, 2008, Modelling complex flood flow evolution in the Middle Yellow River basin, China, Journal of Hydrology, 353, 76– 92. doi:10.1016/j.jhydrol.2008.01.030.(PDF) |
2007 | 10. *He, H.M., J. Zhou, Y.J. Wu, Q. Yu, W.C. Zhang and X.P. Xie, 2007, Estimating water quality pollution impacts based on economic loss models in urbanization process in Xi’an, China, Journal of Urban Planning and Development, 133(3), 151-160.(PDF) 9. *He, H.M., J. Zhou, Q. Yu, Y.Q. Tian, and R.F. Chen, 2007, Flood Frequency and Routing Processes at a Confluence of the Middle Yellow River in China, River Research and Applications, 23 (4) 407-427.(PDF) 8. Tian Y.Q., R. McDowell, Q. Yu, G.W. Sheath, W.T. Carlson and P. Gong, 2007, Modeling to analyze the impacts of animal treading effects on soil infiltration, Hydrological Processes, 21(8), 1106-1114 (DOI: 10.1002/hyp.6293).(PDF) |
2006 | 7. Yu, Q., P. Gong, N. Clinton,G. Biging, M. Kelly and D. Schirokauer, 2006, Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery, Photogrammetric Engineering and Remote Sensing, 72(7) 799-811. (PDF). Top most-cited Classic Papers in Remote Sensing by Google Scholar 6. Guo, Y. Y., R.G. Amundson, P. Gong and Q. Yu, 2006, Quantity and spatial variability of soil carbon in the conterminous United States, Soil Science Society of America Journal, 70: 590-600.(PDF) 5. Guo, Y. Y., R.G. Amundson, P. Gong and Q. Yu, 2006, Analysis of factors controlling soil carbon in the conterminous United States, Soil Science Society of America Journal, 70: 601-612.(PDF) |
2005 | 4. Tian Y.Q., D.G. McCall, W. Dripps, Q. Yu and P. Gong, 2005, Using surface features to evaluate meat tenderness of grazing beef animals, Food Australia, 57 (8): 322-326. (PDF) 3. Pu, R.L., Q. Yu, P. Gong and G.S. Biging, 2005, EO-1 Hyperion, ALI and Landsat 7 ETM+ data comparison for estimating forest crown closure and leaf area index, International Journal of Remote Sensing, 26(3):457-474.(PDF) |
2004 | 2. Tian, Y.Q., J.D. Radke, P. Gong and Q. Yu, 2004, Model development for spatial variation of PM2.5 emissions from residential wood burningSpatially allocating PM2.5 emissions from residential wood burning in California, Atmospheric Environment, 38 (6): 833-843.(PDF) |
2001 | 1. Yu, Q., G. Wu, and X. Li, 2001, Studies on relational storage of spatial data, Remote Sensing Information, 61(1): 24-30. (In Chinese) |
Conference Proceedings
Ni, D.H., H. Liu, W. Ding, Y.C. Xie, H.G. Wang, H. Pishro-Nik, and Q. Yu, Cyber-Physical Integration to Connect Vehicles for Transformed Transportation Safety and Efficiency, 2012, The 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems.
Liu, H., Q. Yu, W. Ding, D.H. Ni, H.G. Wang, and S. Shannon, 2011, Feasibility Study for Automatic Calibration Of Transportation Simulation Models, 2011 Spring Simulation Multiconference.(PDF)
Technical Report
Kevin Turpie (ed.) et al, HASG (2014), Coastal and Inland Aquatic Data Products for the Hyperspectral Infrared Imager (HyspIRI), A Preliminary Report by the HyspIRI Aquatic Studies Group, 98pp.
Yu, Q., 2005, Object-Oriented Vegetation Classification at Peninsular National Parks in California with Airborne High Resolution Imagery: DAIS.