Shi Qiu
Assistant Research Professor/Natural Resources and Environ
Evaluation of Landsat Image Compositing Algorithms
2022
Pontus Olofsson, Suming Jin, Curtis E. Woodcock, Zhe Zhu, Shi Qiu
Research Type: Poster/Presentation

Evaluation of Landsat image compositing algorithms
2023
Zhe Zhu, Pontus Olofsson, Suming Jin, Curtis E. Woodcock, Shi Qiu
Research Type: Journal Article

Extreme weather events accelerated tidal wetland loss in the United States
2024
Kevin D. Kroeger, Shi Qiu, Zhe Zhu, Zhiliang Zhu, Xiucheng Yang, Nicholas J. Murray, Scott Covington
Research Type: Poster/Presentation

Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery
2019
Research Type: Journal Article

Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images
2017
Binbin He, Shi Qiu, Zhe Zhu, Xingwen Quan, Zhanmang Liao
Research Type: Journal Article

Land-cover changes to surface-water buffers in the midwestern USA: 25 years of landsat data analyses (1993-2017)
2020
Jay Christensen, Samson G. Mengistu, Heather E. Golden, Zhe Zhu, Shi Qiu, Charles R. Lane, Tedros M. Berhane, Qiusheng Wu
Research Type: Journal Article

Machine Learning and Deep Learning in Remote Sensing Data Analysis
2024
Ji Won Suh, Shi Qiu, Hankui Zhang, Dong Luo, Zhe Zhu
Research Type: Book Chapter

Making Landsat time series consistent: Evaluating and improving Landsat analysis ready data
2019
Lei Ma, Junxue Zhang, Shi Qiu, Rong Shang, Zhe Zhu, Yukun Lin
Research Type: Journal Article

Mapping commercial- and utility-scale solar installations in Connecticut using deep learning and Sentinel-2 imagery
2022
Zhe Zhu, Shi Qiu, Anita T. Morzillo, Chadwick D Rittenhouse, Mari Cullerton
Research Type: Poster/Presentation

Mapping energy sprawl in Connecticut using deep learning and satellite imagery
2023
Zhe Zhu, Mari Cullerton, Shi Qiu, Chadwick D Rittenhouse, Anita T. Morzillo
Research Type: Poster/Presentation

Mapping primary forest loss in Caribbean Region
2024
Shi Qiu, Zhe Zhu, Falu Hong, Ji Won Suh
Research Type: Poster/Presentation

Mapping understory change in deciduous forest using Sentinel-2 time series analysis
2022
Chadwick D Rittenhouse, Shi Qiu, Mari Cullerton, Zhe Zhu
Research Type: Poster/Presentation

Mapping understory plant communities in deciduous forests from Sentinel-2 time series
2023
Shi Qiu, Chadwick D Rittenhouse, Mari Cullerton, Xiucheng Yang, Dustin Riordan, Zhe Zhu
Research Type: Journal Article

Near real-time extracting Wildfire spread rate from Himawari-8 satellite data
2018
Xiangzhuo Liu, Hongguo Zhang, Marta Yebra, Shi Qiu, Zhanmang Liao, Changming Yin, Xingwen Quan, Binbin He
Research Type: Journal Article

https://dx.doi.org/10.3390/rs10101654
Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data
2022
Shi Qiu, Junxue Zhang, Rong Shang, Zhe Zhu, Xiucheng Yang, Tian Li, Zhiqiang Yang
Research Type: Journal Article

Optical satellite image time series analysis for environment applications: From classical methods to deep learning and beyond
2021
Shi Qiu, Jukka Miettinen, Matthieu Molinier, Zhe Zhu, Dino Ienco
Research Type: Book Chapter

https://dx.doi.org/10.1002/9781119882299.ch4
Recent change of vegetation growth trend and its relations with climate factors in Sichuan, China
2015
Binbin He, Zhanmang Liao, Xiaojing Bai, Xing Li, Shi Qiu, Xingwen Quan, Changming Yin
Research Type: Conference Proceedings

https://dx.doi.org/10.1109/IGARSS.2015.7325770
Remote sensing of land change: A multifaceted perspective
2022
Research Type: Journal Article

Retrieval of fuel moisture content by using radiative transfer models from optical remote sensing data
2019
Xiangzhuo Liu, Shi Qiu, Xingwen Quan, Zhanmang Liao, Changming Yin, Binbin He
Research Type: Journal Article

https://dx.doi.org/10.11834/jrs.20197422
Retrieving grassland canopy water content by considering the information from neighboring pixels
2017
Zhanmang Liao, Changming Yin, Xingwen Quan, Zhijun Zhang, Binbin He, Jinsong Ge, Dasong Xu, Shi Qiu
Research Type: Journal Article

https://dx.doi.org/10.14358/PERS.83.8.553