Zhe Zhu
Associate Professor/Natural Resources and Environ
Storrs Mansfield
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Scholarly Contributions
130 Scholarly Contributions
Catching the “invisible ghost” in the optical imagery: What is cirrus and how to detect it?
2019
Research Type: Poster/Presentation
Continuous subpixel monitoring of urban impervious surface using Landsat time series
2020
Research Type: Journal Article
Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data
2020
Research Type: Journal Article
Continuous monitoring of land disturbance based on Landsat time series
2020
Research Type: Journal Article
Diversity of algorithm and spectral band inputs improves landsat monitoring of forest disturbance
2020
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
Continuous Monitoring of Cotton Stem Water Potential using Sentinel-2 Imagery
2020
Research Type: Journal Article
Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?
2020
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
Corrigendum to continuous monitoring of land disturbance based on Landsat time series, remote sensing of environment, 238, (2020), 11116 (Remote Sensing of Environment (2020) 238, (S0034425719301002), (10.1016/j.rse.2019.03.009))
2020
Research Type: Journal Article
https://dx.doi.org/10.1016/j.rse.2020.111824
Building a Clean, Consistent, and Dense Moderate Resolution Time Series for Monitoring Land Change
2020
Research Type: Poster/Presentation
Effects of Landsat 7’s Orbit Drift and a Solution to Preserve Its Science Capabilities
2020
Research Type: Poster/Presentation
Can Landsat 7 preserve its science capability with a drifting orbit?
2021
Research Type: Journal Article
Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series
2021
Research Type: Journal Article
Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance
2021
Research Type: Journal Article
A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection
2021
Research Type: Journal Article
Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images
2021
Research Type: Journal Article