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Shi Qiu
Shi Qiu
Department of Natural Resources and the Environment, University of Connecticut, Storrs, CT
Verified email at uconn.edu - Homepage
Title
Cited by
Cited by
Year
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
3972019
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
2602020
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
1382017
Remote sensing of land change: A multifaceted perspective
Z Zhu, S Qiu, S Ye
Remote Sensing of Environment 282, 113266, 2022
1012022
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
842018
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
752020
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
632022
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
612018
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
522018
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
502014
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
442019
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
432020
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
382022
Evaluation of Landsat image compositing algorithms
S Qiu, Z Zhu, P Olofsson, CE Woodcock, S Jin
Remote sensing of Environment 285, 113375, 2023
372023
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
302023
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
262017
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
212020
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
182021
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
152022
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
102021
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