| Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery S Qiu, Z Zhu, B He Remote Sensing of Environment 231, 111205, 2019 | 362 | 2019 |
| Continuous monitoring of land disturbance based on Landsat time series Z Zhu, J Zhang, Z Yang, AH Aljaddani, WB Cohen, S Qiu, C Zhou Remote Sensing of Environment 238, 111116, 2020 | 234 | 2020 |
| Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images S Qiu, B He, Z Zhu, Z Liao, X Quan Remote Sensing of Environment 199, 107-119, 2017 | 126 | 2017 |
| Making Landsat time series consistent: Evaluating and improving Landsat analysis ready data S Qiu, Y Lin, R Shang, J Zhang, L Ma, Z Zhu Remote Sensing 11 (1), 51, 2018 | 76 | 2018 |
| Remote sensing of land change: A multifaceted perspective Z Zhu, S Qiu, S Ye Remote Sensing of Environment 282, 113266, 2022 | 64 | 2022 |
| Comparison of Cloud Detection Algorithms for Sentinel-2 Imagery K Tarrio, X Tang, JG Masek, M Claverie, J Ju, S Qiu, Z Zhu, CE Woodcock Science of Remote Sensing, 100010, 2020 | 64 | 2020 |
| Cloud and cloud shadow detection for Landsat images: The fundamental basis for analyzing Landsat time series Z Zhu, S Qiu, B He, C Deng Remote sensing time series image processing, 3-23, 2018 | 55 | 2018 |
| Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series X Yang, Z Zhu, S Qiu, KD Kroeger, Z Zhu, S Covington Remote Sensing of Environment 276, 113047, 2022 | 52 | 2022 |
| Near real-time extracting wildfire spread rate from Himawari-8 satellite data X Liu, B He, X Quan, M Yebra, S Qiu, C Yin, Z Liao, H Zhang Remote Sensing 10 (10), 1654, 2018 | 48 | 2018 |
| Estimating the aboveground dry biomass of grass by assimilation of retrieved LAI into a crop growth model B He, X Li, X Quan, S Qiu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 48 | 2014 |
| Biomass estimation in dense tropical forest using multiple information from single-baseline P-band PolInSAR data Z Liao, B He, X Quan, AIJM van Dijk, S Qiu, C Yin Remote sensing of environment 221, 489-507, 2019 | 42 | 2019 |
| Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them? S Qiu, Z Zhu, CE Woodcock Remote Sensing of Environment 246, 111884, 2020 | 41 | 2020 |
| Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data R Shang, Z Zhu, J Zhang, S Qiu, Z Yang, T Li, X Yang Remote Sensing of Environment 278, 113073, 2022 | 32 | 2022 |
| Evaluation of Landsat image compositing algorithms S Qiu, Z Zhu, P Olofsson, CE Woodcock, S Jin Remote sensing of Environment 285, 113375, 2023 | 27 | 2023 |
| Assessments of sentinel-2 vegetation red-edge spectral bands for improving land cover classification S Qiu, B He, C Yin, Z Liao The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 24 | 2017 |
| Land-cover changes to surface-water buffers in the midwestern USA: 25 years of landsat data analyses (1993–2017) TM Berhane, CR Lane, SG Mengistu, J Christensen, HE Golden, S Qiu, ... Remote sensing 12 (5), 754, 2020 | 21 | 2020 |
| Mapping understory plant communities in deciduous forests from Sentinel-2 time series X Yang, S Qiu, Z Zhu, C Rittenhouse, D Riordan, M Cullerton Remote Sensing of Environment 293, 113601, 2023 | 20 | 2023 |
| Can Landsat 7 preserve its science capability with a drifting orbit? S Qiu, Z Zhu, R Shang, CJ Crawford Science of Remote Sensing 4, 100026, 2021 | 15 | 2021 |
| An object-based approach to map young forest and shrubland vegetation based on multi-source remote sensing data CD Rittenhouse, EH Berlin, N Mikle, S Qiu, D Riordan, Z Zhu Remote Sensing 14 (5), 1091, 2022 | 11 | 2022 |
| Optical satellite image time series analysis for environment applications: From classical methods to deep learning and beyond M Molinier, J Miettinen, D Ienco, S Qiu, Z Zhu Change Detection and Image Time Series Analysis 2: Supervised Methods, 109-154, 2021 | 8 | 2021 |
Zhe ZhuAssociate Professor of Remote Sensing, University of Connecticut在 uconn.edu 的电子邮件经过验证
