* indicates the corresponding author
Qiu, S.*, Zhu, Z.*, Olofsson, P., Woodcock, C.E., Jin, S., 2023. Evaluation of Landsat image compositing algorithms. Remote Sensing of Environment, 285, 113375.
Zhu, Z.*, Qiu, S.*, Ye, S.*, 2022. Remote sensing of land change: A multifaceted perspective. Remote Sensing of Environment, 282, 113266.
Shang, R.*, Zhu, Z., Zhang, J., Qiu, S., Yang, Z., Li, T. and Yang, X., 2022. Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data. Remote Sensing of Environment, 278, 113073.
Yang, X.*, Zhu, Z., Qiu, S., Kroeger, K.D., Zhu, Z. and Covington, S., 2022. Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series. Remote Sensing of Environment, 276, 113047.
Rittenhouse, C.D.*, Berlin, E.H., Mikle, N., Qiu, S., Riordan, D. and Zhu, Z., 2022. An Object-Based Approach to Map Young Forest and Shrubland Vegetation Based on Multi-Source Remote Sensing Data. Remote Sensing, 14(5),1091.
Molinier, M.*, Miettinen, J., Ienco, D., Qiu, S. and Zhu, Z., 2021. Optical satellite image time series analysis for environment applications: From classical methods to deep learning and beyond. Change Detection and Image Time Series Analysis 2: Supervised Methods,109-154.
Qiu, S., Zhu, Z.*, Shang, R., & Crawford, C. J. Can Landsat 7 preserve its science capability with a drifting orbit?. Science of Remote Sensing, 4, 100026, 2021. DOI: doi.org/10.1016/j.srs.2021.100026
Qiu, S.*, Zhu, Z., Woodcock, C.E. Cirrus clouds that adversely affect Landsat 8 images: what are they and how to detect them?. Remote Sensing of Environment, 246, 111884, 2020. DOI: 10.1016/j.rse.2020.111884
Zhu, Z.*, Zhang, J., Yang, Z., Aljaddani, A.H., Cohen, W.B., Qiu, S. and Zhou, C. Continuous monitoring of land disturbance based on Landsat time series. Remote Sensing of Environment, 238, 111116, 2020. DOI: doi.org/10.1016/j.rse.2019.03.009
Berhane T.M., Lane C.R.*, Mengistu S., Christensen J., Golden H.E., 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(5), 754, 2020. DOI: https://doi.org/10.3390/rs12050754
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, 2019. DOI: doi.org/10.1016/j.rse.2019.05.024
Liao, Z., He, B.*, Quan, X.*, van Dijk, A. I., Qiu, S., and Yin, C., Biomass Estimation in Dense Tropical Forest Using Multiple Information from Single-baseline P-band PolInSAR Data. Remote Sensing of Environment, 221, 489-507, 2019. DOI: 10.1016/j.rse.2018.11.027
Qiu, S., Lin, Y., Shang, R.*, Zhang, J., Ma, L., and Zhu, Z.*, Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data. Remote Sensing, 11(1), 51, 2019. DOI: 10.3390/rs11010051
Liu, X., He, B.*, Quan, X.*, Yebra, M., Qiu, S., Yin, C., Liao, Z., and Zhang, H., Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data. Remote Sensing, 10(10), 1654, 2018. DOI: 10.3390/rs10101654
Zhu, Z.*, Qiu, S., He, B., and Deng, C., 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. Link
Qiu, S., He, B.*, Zhu, Z.*, Liao, Z., and Quan, X., Improving Fmask Cloud and Cloud Shadow Detection in Mountainous Area for Landsat 4-8 Images. Remote Sensing of Environment, 199, 107-119, 2017. DOI: 10.1016/j.rse.2017.07.002
He, B.*, Quan, X., Xu, D., Yin, C., Liao, Z., Qiu, S., Ge, J., Zhang, Z., Retrieving Grassland Canopy Water Content by Considering the Information from Neighboring Pixels. Photogrammetric Engineering and Remote Sensing, 83(8), 553-565, 2017. DOI: 10.14358/PERS.83.8.553
He B.*, Li, X., Quan, X., and Qiu, S., Estimating the Aboveground Dry Biomass of Grass by Assimilation of Retrieved LAI into a Crop Growth Model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(2): 550-561, 2015. DOI: 10.1109/JSTARS.2014.2360676