2026 Zhe Zhu: Environmental Sciences Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Engineering and Technology	44	5662	5464	1574	1461	68	19385
Environmental Sciences	48	5388	5163	1971	1823	89	20895

Overview

Zhe Zhu is affiliated with the University of Connecticut in the United States. Their research focuses primarily on environmental science with a significant number of publications in this field.

The main fields of study include:

Environmental Science

Zhe Zhu's subfields of study cover a range of specific areas within environmental science, notably:

Global and Planetary Change
Ecology
Environmental Engineering
Media Technology
Atmospheric Science

The scientist's research topics highlight their work on remote sensing and environmental monitoring technologies. Key topics include:

Remote Sensing in Agriculture
Land Use and Ecosystem Services
Remote Sensing and LiDAR Applications
Atmospheric and Environmental Gas Dynamics
Fire effects on ecosystems
Remote-Sensing Image Classification
Urban Heat Island Mitigation

Frequent publication venues for Zhe Zhu are:

Remote Sensing of Environment
Science of Remote Sensing
Remote Sensing
arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)

Frequent co-authors of the scientist include:

Shi Qiu
Curtis E. Woodcock
Junchang Ju
Noel Gorelick
C. S. R. Neigh

A selection of recent papers authored or co-authored by Zhe Zhu includes:

"Fifty years of Landsat science and impacts" (2022), published in Remote Sensing of Environment
"The 50-year Landsat collection 2 archive" (2023), published in Science of Remote Sensing
"Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data" (2020), published in Remote Sensing of Environment
"Remote sensing of land change: A multifaceted perspective" (2022), published in Remote Sensing of Environment
"A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection" (2020), published in Remote Sensing of Environment

Best Publications

Landsat-8: Science and Product Vision for Terrestrial Global Change Research

David P. Roy;M.A. Wulder;Thomas R. Loveland;C.E. Woodcock

2723
Citations
Object-based cloud and cloud shadow detection in Landsat imagery

Zhe Zhu;Curtis E. Woodcock

2417
Citations
Continuous change detection and classification of land cover using all available Landsat data

Zhe Zhu;Curtis E. Woodcock

1748
Citations
Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

Zhe Zhu;Shixiong Wang;Curtis E. Woodcock

1623
Citations
Cloud detection algorithm comparison and validation for operational Landsat data products

Steven C Foga;Pat L. Scaramuzza;Song Guo;Zhe Zhu;Zhe Zhu

1175
Citations
Current status of Landsat program, science, and applications

Michael A. Wulder;Thomas R. Loveland;David P. Roy;Christopher J. Crawford

1055
Citations
Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications

Zhe Zhu

850
Citations
Fifty years of Landsat science and impacts

Unknown

744
Citations
Automated cloud, cloud shadow, and snow detection in multitemporal Landsat data: An algorithm designed specifically for monitoring land cover change

Zhe Zhu;Curtis E. Woodcock

553
Citations
Continuous monitoring of forest disturbance using all available Landsat imagery

Zhe Zhu;Curtis E. Woodcock;Pontus Olofsson

529
Citations
Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery

Shi Qiu;Shi Qiu;Zhe Zhu;Zhe Zhu;Binbin He

463
Citations
Benefits of the free and open Landsat data policy

Zhe Zhu;Michael A. Wulder;David P. Roy;Curtis E. Woodcock

459
Citations
Bringing an ecological view of change to Landsat‐based remote sensing

Robert E Kennedy;Serge Andréfouët;Warren B Cohen;Cristina Gómez

413
Citations
Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM/ETM+ data

Eli K. Melaas;Mark A. Friedl;Zhe Zhu

394
Citations
Understanding an urbanizing planet: Strategic directions for remote sensing

Zhe Zhu;Yuyu Zhou;Karen C. Seto;Eleanor C. Stokes

389
Citations
Overall Methodology Design for the United States National Land Cover Database 2016 Products

Suming Jin;Collin G. Homer;Limin Yang;Patrick Danielson

321
Citations
Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data

Zhe Zhu;Curtis E. Woodcock;John Rogan;Josef Kellndorfer

319
Citations
Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time

Zhe Zhu;Curtis E. Woodcock;Christopher Holden;Zhiqiang Yang

308
Citations
Continuous monitoring of land disturbance based on Landsat time series

Zhe Zhu;Zhe Zhu;Junxue Zhang;Junxue Zhang;Zhiqiang Yang;Amal H. Aljaddani

287
Citations
Mapping forest change using stacked generalization: An ensemble approach

Sean P. Healey;Warren B. Cohen;Zhiqiang Yang;C. Kenneth Brewer

279
Citations
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)

Zhe Zhu;Yingchun Fu;Curtis E. Woodcock;Pontus Olofsson

261
Citations

Frequent Co-Authors

Curtis E. Woodcock Boston University

Warren B. Cohen Oregon State University

James E. Vogelmann United States Geological Survey

Sean P. Healey US Forest Service

Thomas R. Loveland United States Geological Survey

Stephen V. Stehman SUNY College of Environmental Science and Forestry

Zhiqiang Yang United States Department of Agriculture

Robert E. Kennedy Oregon State University

Randolph H. Wynne Virginia Tech

Michael A. Wulder Natural Resources Canada

External Links

Personal website of Zhe Zhu

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