Zhe Zhu
Associate Professor/Natural Resources and Environ
Storrs Mansfield
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Scholarly Contributions
130 Scholarly Contributions
Mapping primary forest loss using dense time series and resilience metrics
2024
Research Type: Poster/Presentation
Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery
2015
Research Type: Journal Article
Mapping forest change using stacked generalization: An ensemble approach
2018
Research Type: Journal Article
Mapping energy sprawl in Connecticut using deep learning and satellite imagery
2023
Research Type: Poster/Presentation
Mapping commercial- and utility-scale solar installations in Connecticut using deep learning and Sentinel-2 imagery
2022
Research Type: Poster/Presentation
Mapping Two Decades of Field-scale Corn and Soybean Phenometrics in the US Midwest by Fusing Time Series of Landsat and MODIS Data
2024
Research Type: Poster/Presentation
Making Landsat time series consistent: Evaluating and improving Landsat analysis ready data
2019
Research Type: Journal Article
Leveraging past information and machine learning to accelerate land disturbance monitoring
2024
Research Type: Journal Article
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
2020
Research Type: Journal Article
Landsat-8: Science and product vision for terrestrial global change research
2014
Research Type: Journal Article
Land-cover changes to surface-water buffers in the midwestern USA: 25 years of landsat data analyses (1993-2017)
2020
Research Type: Journal Article
Intensive Primary Forest Loss on the Island of Hispaniola from 1996 to 2022
2023
Research Type: Poster/Presentation
Inferring flowering phenology of wind-pollinated plants with high spatiotemporal resolution imagery
2023
Research Type: Poster/Presentation
Including land cover change in analysis of greenness trends using all available Landsat 5, 7, and 8 images: A case study from Guangzhou, China (2000–2014)
2016
Research Type: Journal Article
Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images
2017
Research Type: Journal Article