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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
3422019
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
2182020
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
1252017
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
742018
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
542020
Remote sensing of land change: A multifaceted perspective
Z Zhu, S Qiu, S Ye
Remote Sensing of Environment 282, 113266, 2022
532022
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
522018
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
472018
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
472014
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
462022
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
382019
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
372020
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
242022
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
232017
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
Evaluation of Landsat image compositing algorithms
S Qiu, Z Zhu, P Olofsson, CE Woodcock, S Jin
Remote Sensing of Environment 285, 113375, 2023
182023
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
142023
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
142021
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
112022
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
82021
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Articles 1–20