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Zhe Zhu
800 Points

Contributions by role

Editor 800

Contributions by subject area

Ecosystem Science
Natural Resource Management
Forestry
Spatial and Geographic Information Science
Ecology
Climate Change Biology
Environmental Impacts
Data Mining and Machine Learning
Data Science
Agricultural Science
Plant Science
Soil Science
Ecohydrology
Environmental Sciences
Computational Science

Zhe Zhu


Summary

Zhe Zhu is currently an Associate Professor in the Department of Natural Resources and the Environment at the University of Connecticut, Storrs, CT. He obtained a B.E. in Remote Sensing and Photogrammetry from Wuhan University (China) in 2006, and a Ph.D. degree in Geography from Boston University in 2013.

His research interests include Remote Sensing, Particularly of Urban, Forests, Agriculture, and Clouds; Land Cover and Land Use Change; Time Series Analysis; Digital Image Processing; and Climate Change. He has published many peer-reviewed papers in top remote sensing journals. He has been a Principal, Co-Principal Investigator, and Collaborator on many projects funded by U.S. Geological Survey, NSF, and NASA. Details are available at: https://gerslab.cahnr.uconn.edu/

Data Mining & Machine Learning Environmental Impacts Forestry Natural Resource Management Spatial & Geographic Information Science

Work details

Associate Professor

University of Connecticut
Natural Resources and the Environment
Remote Sensing

Websites

  • Google Scholar
  • ResearcherID
  • Zhu Lab

PeerJ Contributions

  • Edited 5

Academic Editor on

December 4, 2024
A computational framework for processing time-series of earth observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m spatial resolution
Davide Consoli, Leandro Parente, Rolf Simoes, Murat Şahin, Xuemeng Tian, Martijn Witjes, Lindsey Sloat, Tomislav Hengl
https://doi.org/10.7717/peerj.18585 PubMed 39650555
March 13, 2024
Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution
Julia Hackländer, Leandro Parente, Yu-Feng Ho, Tomislav Hengl, Rolf Simoes, Davide Consoli, Murat Şahin, Xuemeng Tian, Martin Jung, Martin Herold, Gregory Duveiller, Melanie Weynants, Ichsani Wheeler
https://doi.org/10.7717/peerj.16972 PubMed 38495753
April 17, 2023
A rapid and accurate method of mapping invasive Tamarix genotypes using Sentinel-2 images
Solomon Wakshom Newete, Samalesu Mayonde, Thabiso Kekana, Elhadi Adam
https://doi.org/10.7717/peerj.15027 PubMed 37090111
July 21, 2022
A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat
Martijn Witjes, Leandro Parente, Chris J. van Diemen, Tomislav Hengl, Martin Landa, Lukáš Brodský, Lena Halounova, Josip Križan, Luka Antonić, Codrina Maria Ilie, Vasile Craciunescu, Milan Kilibarda, Ognjen Antonijević, Luka Glušica
https://doi.org/10.7717/peerj.13573 PubMed 35891647
September 21, 2018
Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model
Radosław Juszczak, Bogna Uździcka, Marcin Stróżecki, Karolina Sakowska
https://doi.org/10.7717/peerj.5613 PubMed 30258715