Publications

GOOGLE SCHOLAR; RESEARCHGATE; MENDELEY

 

Papers & Books

  1. Berhane, T.M., C.R. Lane*, S. Mengistu, J. Christensen, H.E. Golden, S. Qiu, Z. Zhu and Q. Wu, Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993-2017), Remote Sensing, 12(5), 754, 2020.
  2. Brown, J.F., H.J. Tollerud, C.P. Barber, Q. Zhou, J. Dwyer, J.E. Vogelmann, T. Loveland, C.E. Woodcock, S.V. Stehman, Z. Zhu, B. Pengra, K. Smith, J. Horton, G. Xian, R. Auch, T. Sohl, K. Sayler, A. Gallant, D. Zelenak, R. Reker, J. Rover. Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Project (LCMAP) approach, Remote Sensing of Environment, 238, 111356, 2020
  3.  Zhu, Z*, J. Zhang, Z. Yang, A.H. Aljaddani, W.B. Cohen, S. Qiu, C. Zhou, Continuous monitoring of land disturbance based on Landsat time series, Remote Sensing of Environment, 238, 111116, 2020
  4. Deng, C.* & Z. Zhu, Continuous subpixel monitoring of urban impervious surface using Landsat time series, Remote Sensing of Environment, 238, 110929, 2020
  5. Jin, S.*, C. Homer, L. Yang, P. Danielson, J. Dewitz, C. Li, Z. Zhu, G. Xian, Overall Methodology Design for the United States National Land Cover Database 2016 Products, Remote Sensing, 11 (24), 2971, 2019
  6. Shang, Rong*, Z. Zhu, Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach, Remote Sensing of Environment, 235, 111439, 2019
  7. Zhu, Z*, Science of Landsat Analysis Ready Data, Remote Sensing, 11(18), 2166, 2019
  8. Liu, C., X. Huang*, Z. Zhu, H. Chen, X. Tang, J. Gong, Automatic extraction of built-up are from ZY3 multi-view satellite imagery: Analysis of 45 global cities, Remote Sensing of Environment, 226, 51-73, 2019
  9. Qiu, S., Z. Zhu*, and B. He*, Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4-8 and Sentinel-2 imagery, Remote Sensing of Environment, 231, 111205, 2019
  10. Zhu, Z*, Y Zhou, KC Seto, EC Stokes, C Deng, STA Pickett, H Taubenböck, Understanding an urbanizing planet: Strategic directions for remote sensing, Remote Sensing of Environment, 228, 164-182, 2019
  11. Zhu, Z*, M.A. Wulder, D.P. Roy, C.E. Woodcock, M.C. Hansen, V.C. Radeloff, S.P. Healey, C. Schaaf, P. Hostert, P. Strobl, J. Pekel, L. Lymburner, N. Pahlevan, T.A. Scambos, Benefits of the free and open Landsat data policy, Remote Sensing of Environment, 224, 382-385, 2019
  12. Wulder, M.A.*, T.R. Loveland, D.P. Roy, C.J. Crawford, J.G. Masek, C.E. Woodcock, R.G. Allen, M.C. Anderson, A.S. Belward, W.B. Cohen, J. Dwyer, A. Erb, F. Gao, P. Griffiths, D. Helder, T. Hermosilla, J.D. Hipple, P. Hostert, M.J. Hughes, J. Huntington, D.M. Johnson, R. Kennedy, A. Kilic, Z. Li, L. Lymburner, J. McCorkel, N. Pahlevan, T.A. Scambos, C. Schaaf, J.R. Schott, Y. Sheng, J. Storey, E. Vermote, J. Vogelmann, J.C. White, R.H. Wynne, and Z. Zhu, Current status of Landsat program, science, and applications. Remote Sensing of Environment, 225, 127-147, 2019
  13. Qiu, S., Y. Lin, R. Shang*, J. Zhang, L. Ma, and Z. Zhu*, 2019. Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data. Remote Sensing11(1), p.51, 2019 
  14. Zhu, Z.*, S. Qiu, B. He, C. Deng, Cloud and cloud shadow detection for Landsat images: the fundamental basis for analyzing Landsat time series, In Weng, Q. (Ed.): Remote Sensing Time Series Image Processing (1st ed., pp. 3-24), Boca Raton, FL: CRC Press/Taylor & Francis, 2018 
  15. Healey, S.P.*, W.B Cohen, Z. Yang, C.K. Brewer, E.B. Brooks, N. Gorelick, A. Hernandez, C. Huang, M.J. Hughes, R.E. Kennedy, T.R. Loveland, G.G. Moisen, T.A. Schroeder, S.V. Stehman, J.E. Vogelmann, C.E. Woodcock, L. Yang, & Z. Zhu, Mapping forest change using stacked generalization: an ensemble approach, Remote Sensing of Environment, 204, 717-728, 2018
  16. Deng, C.*, C. Li, & Z. Zhu, W. Lin, & L. Xi, Subpixel urban impervious surface mapping: The impact of input landsat images, ISPRS Journal of Photogrammetry and Remote Sensing, 133, 89-103, 2017
  17. Qiu, S., B. He*, Z. Zhu*, Z. Liao, & X. Quan, Improving Fmask cloud and cloud shadow detection in mountainous area for Landsat 4-8 images. Remote Sensing of Environment, 199, 107-119, 2017
  18. Zhu, Z.*, Change detection using Landsat time series: a review of frequencies, preprocessing, algorithms, and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 370-384, 2017
  19. Jin, S.*, L. Yang, Z. Zhu, & C. Homer, A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011, Remote Sensing of Environment, 195, 44-55, 2017
  20. Foga, S.*, P.L. Scaramuzza, S. Guo, Z. Zhu, R.D. Dilley, T. Beckman, G.L. Schmidt, J.L. Dwyer, M.J. Hughes, B. Laue, Cloud detection algorithm comparison and validation for operational Landsat data products. Remote Sensing of Environment, 194, 379-390, 2017
  21. Xin, X., B. Liu*, K. Di, Z. Zhu, Z. Zhao, J. Liu, Z. Yue, G. Zhang, Monitoring urban expansion using time series of night-time light data: a case study in Wuhan, China, International Journal of Remote Sensing, 1-19, 2017
  22. Cohen, W.B.*, S.P. Healey, Z. Yang, S.V. Stehman, C.K. Brewer, E.B. Brooks, N. Gorelick, C. Huang, M.J. Hughes, R.E. Kennedy, T.R. Loveland, G.G. Moisen, T.A. Schroeder, J.E. Vogelmann, C.E. Woodcock, L. Yang, Z. Zhu, How similar are forest disturbance maps derived from different Landsat time series algorithms? Forests, 8, 98, 2017
  23. Zhu, Z.*, A.L. Gallant, C.E. Woodcock, B. Pengra, P. Olofsson, T.R. Loveland, S. Jin, D. Dahal, L. Yang, & R.F. Auch, Optimizing the strategy for operational land cover classification for the LCMAP initiative: the effect of training and auxiliary data, ISPRS Journal of Photogrammetry and Remote Sensing, 122, 206-221, 2016
  24. Pengra, B.*, A.L. Gallant, Z. Zhu, & D. Dahal, Evaluation of the Initial Thematic Output from a Continuous Change-Detection Algorithm for Use in Automated Operational Land-Change Mapping by the US Geological Survey, Remote Sensing, 8(10), 811, 2016
  25. Schott, J.*, A. Gerace, C.E. Woodcock, S. Wang, Z. Zhu, & R.H. Wynne, C.E. Blinn, The impact of improved signal to noise ratios on algorithm performance: Case studies for Landsat class instruments, Remote Sensing of Environment, 185, 37-45, 2016
  26. Zhu, Z.*, Y. Fu*, C.E. Woodcock, J.E. Vogelmann, P. Olofsson, C. Holden, M. Wang, S. Dai, & Y. Yu, Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000-2014), Remote Sensing of Environment, 185, 243-257, 2016
  27. Vogelmann, J.E.*, A.L. Gallant, S. Hua, & Z. Zhu, Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data, Remote Sensing of Environment, 185, 258-270, 2016
  28. Qin, Y., X. Xiao*, J. Dong, Y. Zhou, Z. Zhu, G. Zhang, G. Du, C. Jin, W. Kou, J. Wang, & X. Li, Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 105, 220-233, 2015
  29. Zhu, Z.*, C.E. Woodcock, C. Holden, & Z. Yang, Generating synthetic Landsat images based on all available Landsat data: predicting Landsat surface reflectance at any given time, Remote Sensing of Environment, 162, 67-83, 2015
  30. Zhu, Z.*, S. Wang, & C.E. Woodcock, Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images, Remote Sensing of Environment, 159, 269-277, 2015
  31. Zhu, Z.* & C.E. Woodcock, Automated cloud, cloud shadow, and snow detection based on multitemporal Landsat data: an algorithm designed specifically for monitoring land cover change, Remote Sensing of Environment, 152, 217-234, 2014
  32. Kennedy, R.*, S. Andréfouët, W. Cohen, C. Gómez, P. Griffiths, M. Hais, S. Healey, E. Helmer, P. Hostert, M. Lyons, G. Meigs, D. Pflugmacher, S. Phinn, S. Powell, P. Scarth, S. Sen, T. Schroeder, A. Schneider, R. Sonnenschein, J.E. Vogelmann, M. Wulder, & Z. Zhu, Bringing an ecological view of change to Landsat-based remote sensing, Frontiers in Ecology and Environment, 12(6), 339-346, 2014
  33. Roy, D.P.*, M.A. Wulder, T.R. Loveland, C.E. Woodcock, R.G. Allen, M.C. Anderson, D. Helder, J.R. Irons, D.M. Johnson, R. Kennedy, T.A. Scambos, C.B. Schaaf, J.R. Schott, Y. Sheng, E.F. Vermote, A.S. Belward, R. Bindschadler, W.B. Cohen, F. Gao, J.D. Hipple, P. Hostert, J. Huntington, C.O. Justice, A. Kilic, V. Kovalskyy, P.Z. Lee, L. Lymburner, J.G. Masek, J. McCorkel, Y. Shuai, R. Trezza, J. Vogelmann, R.H. Wynne, & Z. Zhu, Landsat-8: science and product vision for terrestrial global change research, Remote Sensing of Environment, 145, 154-172, 2014
  34. Zhu, Z.* & C.E. Woodcock, Continuous change detection and classification of land cover using all available Landsat data, Remote Sensing of Environment, 144, 152-171, 2014
  35. Xin, Q.*, P. Olofsson, Z. Zhu, B. Tan, & C.E. Woodcock, Towards near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data, Remote Sensing of Environment, 135, 234-247, 2013
  36. Melaas, E. K.*, M.A. Friedl, & Z. Zhu, Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data, Remote Sensing of Environment, 132, 176-185, 2013
  37. Zhu, Z.*, C.E. Woodcock, & P. Olofsson, Continuous monitoring of forest disturbance using all available Landsat imagery, Remote Sensing of Environment, 122, 75-91, 2012
  38. Zhu, Z.*, & C.E. Woodcock, Object-based cloud and cloud shadow detection in Landsat imagery, Remote Sensing of Environment, 118(15), 83-94, 2012
  39. Zhu, Z.*, C.E. Woodcock, J. Rogan, & J. Kellndorfer, Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data, Remote Sensing of Environment, 117(15), 72-82, 2012