Education

PhD 2018	University of Electronic Science and Technology of China, Chengdu, China, Remote Sensing
BE 2012	Chengdu University of Technology, Chengdu, China, Spatial Information & Digital Technology

Professional Experience

2022 - present	Research Assistant Professor, Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT
2019 - 2022	Postdoctoral Research Associate, Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT
2019 -  2019	Visiting Research Assistant, Department of Geosciences, Texas Tech University, Lubbock, TX
2017 - 2018	Visiting Scholar, Department of Geosciences, Texas Tech University, Lubbock, TX

Research Interests

· Remote Sensing

· Data Preprocessing, particularly Cloud Detection and Image Compositing

· Land Disturbance

· Time Series Analysis

· Machine Learning

Publications

* corresponding authors: Google Scholar

· Yang, X.*, Qiu, S., Zhu, Z., Rittenhouse, C., Riordan, D., & Cullerton, M., 2023. Mapping understory plant communities in deciduous forests from Sentinel-2 time series. Remote Sensing of Environment, 293, 113601.

· Qiu, S.*, Zhu, Z.*, Olofsson P., Woodcock C.E., and Jin S., 2023. Evaluation of Landsat Image Compositing Algorithms. Remote Sensing of Environment, 285: 113375.

· Zhu, Z.*, Qiu, S.*, and Ye S.*, 2022. Remote Sensing of Land Change: A Multifaceted Perspective. Remote Sensing of Environment, 282: 113266.

· 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, pp.109-154.

· Qiu, S.*, Zhu, Z., Shang, R. and Crawford, C.J., 2021. Can Landsat 7 preserve its science capability with a drifting orbit?. Science of Remote Sensing, 4, 100026.

· Tarrio, K.*, Tang, X., Masek, J.G., Claverie, M., Ju, J., Qiu, S., Zhu, Z. and Woodcock, C.E., 2020. Comparison of Cloud Detection Algorithms for Sentinel-2 Imagery. Science of Remote Sensing, 2: 100010, 2020

· Qiu, S.*, Zhu, Z., Woodcock, Curtis E., Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?. Remote Sensing of Environment, 246: 111884, 2020

· Berhane, T.M., Lane, C.R. *, Mengistu, S., Christensen, J., Golden, H.E., Qiu, S., Zhu, Z. and 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

· 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

· Qiu, S., Zhu, Z.*, and 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

· 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

· 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

· 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

· 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

· 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

· 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

· 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