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Zhe Zhu, Ph.D. - Publications

Affiliations: 
2013 Boston University, Boston, MA, United States 
Area:
Remote Sensing
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43 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Stanimirova R, Tarrio K, Turlej K, McAvoy K, Stonebrook S, Hu KT, Arévalo P, Bullock EL, Zhang Y, Woodcock CE, Olofsson P, Zhu Z, Barber CP, Souza CM, Chen S, et al. A global land cover training dataset from 1984 to 2020. Scientific Data. 10: 879. PMID 38062043 DOI: 10.1038/s41597-023-02798-5  0.61
2020 Cohen WB, Healey SP, Yang Z, Zhu Z, Gorelick N. Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance Remote Sensing. 12: 1673. DOI: 10.3390/Rs12101673  0.498
2020 Berhane TM, Lane CR, Mengistu SG, Christensen J, Golden HE, Qiu S, Zhu Z, Wu Q. Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017) Remote Sensing. 12: 754. DOI: 10.3390/Rs12050754  0.402
2020 Qiu S, Zhu Z, Woodcock CE. Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them? Remote Sensing of Environment. 246: 111884. DOI: 10.1016/J.Rse.2020.111884  0.65
2020 Zhu Z, Zhang J, Yang Z, Aljaddani AH, Cohen WB, Qiu S, Zhou C. Corrigendum to continuous monitoring of land disturbance based on Landsat time series, remote sensing of environment, 238, (2020), 11116 Remote Sensing of Environment. 244: 111824. DOI: 10.1016/J.Rse.2020.111824  0.439
2020 Yang X, Qin Q, Yésou H, Ledauphin T, Koehl M, Grussenmeyer P, Zhu Z. Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data Remote Sensing of Environment. 244: 111803. DOI: 10.1016/J.Rse.2020.111803  0.378
2020 Brown JF, Tollerud HJ, Barber CP, Zhou Q, Dwyer JL, Vogelmann JE, Loveland TR, Woodcock CE, Stehman SV, Zhu Z, Pengra BW, Smith K, Horton JA, Xian G, Auch RF, et al. Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach Remote Sensing of Environment. 238: 111356. DOI: 10.1016/J.Rse.2019.111356  0.687
2020 Zhu Z, Zhang J, Yang Z, Aljaddani AH, Cohen WB, Qiu S, Zhou C. Continuous monitoring of land disturbance based on Landsat time series Remote Sensing of Environment. 238: 111116. DOI: 10.1016/J.Rse.2019.03.009  0.527
2020 Deng C, Zhu Z. Continuous subpixel monitoring of urban impervious surface using Landsat time series Remote Sensing of Environment. 238: 110929. DOI: 10.1016/J.Rse.2018.10.011  0.534
2019 Jin S, Homer CG, Yang L, Danielson P, Dewitz J, Li C, Zhu Z, Xian G, Howard D. Overall Methodology Design for the United States National Land Cover Database 2016 Products Remote Sensing. 11: 2971. DOI: 10.3390/Rs11242971  0.31
2019 Zhu Z. Science of Landsat Analysis Ready Data Remote Sensing. 11: 2166. DOI: 10.3390/Rs11182166  0.387
2019 Shang R, Zhu Z. Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach Remote Sensing of Environment. 235: 111439. DOI: 10.1016/J.Rse.2019.111439  0.348
2019 Qiu S, Zhu Z, He B. Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery Remote Sensing of Environment. 231: 111205. DOI: 10.1016/J.Rse.2019.05.024  0.479
2019 Zhu Z, Zhou Y, Seto KC, Stokes EC, Deng C, Pickett STA, Taubenböck H. Understanding an urbanizing planet: Strategic directions for remote sensing Remote Sensing of Environment. 228: 164-182. DOI: 10.1016/J.Rse.2019.04.020  0.413
2019 Liu C, Huang X, Zhu Z, Chen H, Tang X, Gong J. Automatic extraction of built-up area from ZY3 multi-view satellite imagery: Analysis of 45 global cities Remote Sensing of Environment. 226: 51-73. DOI: 10.1016/J.Rse.2019.03.033  0.405
2019 Zhu Z, Wulder MA, Roy DP, Woodcock CE, Hansen MC, Radeloff VC, Healey SP, Schaaf C, Hostert P, Strobl P, Pekel J, Lymburner L, Pahlevan N, Scambos TA. Benefits of the free and open Landsat data policy Remote Sensing of Environment. 224: 382-385. DOI: 10.1016/J.Rse.2019.02.016  0.584
2019 Wulder MA, Loveland TR, Roy DP, Crawford CJ, Masek JG, Woodcock CE, Allen RG, Anderson MC, Belward AS, Cohen WB, Dwyer J, Erb A, Gao F, Griffiths P, Helder D, ... ... Zhu Z, et al. Current status of Landsat program, science, and applications Remote Sensing of Environment. 225: 127-147. DOI: 10.1016/J.Rse.2019.02.015  0.624
2018 Qiu S, Lin Y, Shang R, Zhang J, Ma L, Zhu Z. Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data Remote Sensing. 11: 51. DOI: 10.3390/Rs11010051  0.34
2018 Healey SP, Cohen WB, Yang Z, Kenneth Brewer C, Brooks EB, Gorelick N, Hernandez AJ, Huang C, Joseph Hughes M, Kennedy RE, Loveland TR, Moisen GG, Schroeder TA, Stehman SV, Vogelmann JE, ... ... Zhu Z, et al. Mapping forest change using stacked generalization: An ensemble approach Remote Sensing of Environment. 204: 717-728. DOI: 10.1016/J.Rse.2017.09.029  0.69
2017 Cohen W, Healey S, Yang Z, Stehman S, Brewer C, Brooks E, Gorelick N, Huang C, Hughes M, Kennedy R, Loveland T, Moisen G, Schroeder T, Vogelmann J, Woodcock C, ... ... Zhu Z, et al. How Similar Are Forest Disturbance Maps Derived from Different Landsat Time Series Algorithms? Forests. 8: 98. DOI: 10.3390/F8040098  0.663
2017 Xin X, Liu B, Di K, Zhu Z, Zhao Z, Liu J, Yue Z, Zhang G. Monitoring urban expansion using time series of night-time light data: a case study in Wuhan, China International Journal of Remote Sensing. 38: 6110-6128. DOI: 10.1080/01431161.2017.1312623  0.394
2017 Qiu S, He B, Zhu Z, Liao Z, Quan X. Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images Remote Sensing of Environment. 199: 107-119. DOI: 10.1016/J.Rse.2017.07.002  0.493
2017 Jin S, Yang L, Zhu Z, Homer CG. A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011 Remote Sensing of Environment. 195: 44-55. DOI: 10.1016/J.Rse.2017.04.021  0.517
2017 Foga SC, Scaramuzza PL, Guo S, Zhu Z, Dilley RD, Beckmann T, Schmidt GL, Dwyer JL, Hughes MJ, Laue B. Cloud detection algorithm comparison and validation for operational Landsat data products Remote Sensing of Environment. 194: 379-390. DOI: 10.1016/J.Rse.2017.03.026  0.484
2017 Deng C, Li C, Zhu Z, Lin W, Xi L. Subpixel urban impervious surface mapping: the impact of input Landsat images Isprs Journal of Photogrammetry and Remote Sensing. 133: 89-103. DOI: 10.1016/J.Isprsjprs.2017.09.015  0.455
2017 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. DOI: 10.1016/J.Isprsjprs.2017.06.013  0.46
2016 Pengra BW, Gallant AL, Zhu Z, Dahal D. Evaluation of the initial thematic output from a continuous change-detection algorithm for use in automated operational land-change mapping by the U.S. Geological Survey Remote Sensing. 8: 811. DOI: 10.3390/Rs8100811  0.485
2016 Zhu Z, Fu Y, Woodcock CE, Olofsson P, Vogelmann JE, Holden C, Wang M, Dai S, Yu Y. 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. DOI: 10.1016/J.Rse.2016.03.036  0.687
2016 Vogelmann JE, Gallant AL, Shi H, Zhu Z. Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data Remote Sensing of Environment. 185: 258-270. DOI: 10.1016/J.Rse.2016.02.060  0.495
2016 Zhu Z, Gallant AL, Woodcock CE, Pengra B, Olofsson P, Loveland TR, Jin S, Dahal D, Yang L, Auch RF. Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative Isprs Journal of Photogrammetry and Remote Sensing. 122: 206-221. DOI: 10.1016/J.Isprsjprs.2016.11.004  0.663
2015 Qin Y, Xiao X, Dong J, Zhou Y, Zhu Z, Zhang G, Du G, Jin C, Kou W, Wang J, Li X. 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 : Official Publication of the International Society For Photogrammetry and Remote Sensing (Isprs). 105: 220-233. PMID 27695195 DOI: 10.1016/J.Isprsjprs.2015.04.008  0.422
2015 Schott JR, Gerace A, Woodcock CE, Wang S, Zhu Z, Wynne RH, Blinn CE. The impact of improved signal-to-noise ratios on algorithm performance: Case studies for Landsat class instruments Remote Sensing of Environment. DOI: 10.1016/J.Rse.2016.04.015  0.622
2015 Zhu Z, Woodcock CE, Holden C, Yang Z. 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. DOI: 10.1016/J.Rse.2015.02.009  0.667
2015 Zhu Z, Wang S, Woodcock CE. 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. DOI: 10.1016/J.Rse.2014.12.014  0.649
2014 Kennedy RE, Andréfouët S, Cohen WB, Gómez C, Griffiths P, Hais M, Healey SP, Helmer EH, Hostert P, Lyons MB, Meigs GW, Pflugmacher D, Phinn SR, Powell SL, Scarth P, ... ... Zhu Z, et al. Bringing an ecological view of change to landsat-based remote sensing Frontiers in Ecology and the Environment. 12: 339-346. DOI: 10.1890/130066  0.712
2014 Zhu Z, Woodcock CE. Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change Remote Sensing of Environment. 152: 217-234. DOI: 10.1016/J.Rse.2014.06.012  0.685
2014 Roy DP, Wulder MA, Loveland TR, C.E. W, Allen RG, Anderson MC, Helder D, Irons JR, Johnson DM, Kennedy R, Scambos TA, Schaaf CB, Schott JR, Sheng Y, Vermote EF, ... ... Zhu Z, et al. Landsat-8: Science and product vision for terrestrial global change research Remote Sensing of Environment. 145: 154-172. DOI: 10.1016/J.Rse.2014.02.001  0.507
2014 Zhu Z, Woodcock CE. Continuous change detection and classification of land cover using all available Landsat data Remote Sensing of Environment. 144: 152-171. DOI: 10.1016/J.Rse.2014.01.011  0.728
2013 Xin Q, Olofsson P, Zhu Z, Tan B, Woodcock CE. Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data Remote Sensing of Environment. 135: 234-247. DOI: 10.1016/J.Rse.2013.04.002  0.75
2013 Melaas EK, Friedl MA, Zhu Z. Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data Remote Sensing of Environment. 132: 176-185. DOI: 10.1016/J.Rse.2013.01.011  0.493
2012 Zhu Z, Woodcock CE, Olofsson P. Continuous monitoring of forest disturbance using all available Landsat imagery Remote Sensing of Environment. 122: 75-91. DOI: 10.1016/J.Rse.2011.10.030  0.705
2012 Zhu Z, Woodcock CE. Object-based cloud and cloud shadow detection in Landsat imagery Remote Sensing of Environment. 118: 83-94. DOI: 10.1016/J.Rse.2011.10.028  0.634
2012 Zhu Z, Woodcock CE, Rogan J, Kellndorfer J. 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: 72-82. DOI: 10.1016/J.Rse.2011.07.020  0.665
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