Zhe Zhu

发表

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

C. Woodcock, J. Rogan, J. Kellndorfer, 2012 .

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

B. He, Zhe Zhu, S. Qiu, 2019, Remote Sensing of Environment.

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

Martha C. Anderson, D. Roy, C. Justice, 2014 .

A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011.

Suming Jin, Limin Yang, C. Homer, 2017 .

Understanding an urbanizing planet: Strategic directions for remote sensing

Zhe Zhu, Hannes Taubenböck, Karen C. Seto, 2019, Remote Sensing of Environment.

Perspectives on monitoring gradual change across the continuity of Landsat sensors using time-series data

Zhe Zhu, James E. Vogelmann, Alisa L. Gallant, 2016 .

Evan B. Brooks, W. Cohen, C. Woodcock, 2017 .

Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery.

Jinwei Dong, Zhe Zhu, Xiangming Xiao, 2015, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

Improving Fmask cloud and cloud shadow detection in mountainous area for Landsats 4–8 images

Zhe Zhu, Binbin He, Zhanmang Liao, 2017 .

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

C. Woodcock, Zhe Zhu, 2014 .

Continuous monitoring of forest disturbance using all available Landsat imagery

C. Woodcock, P. Olofsson, Zhe Zhu, 2012 .

Continuous subpixel monitoring of urban impervious surface using Landsat time series

Zhe Zhu, C. Deng, 2020, Remote Sensing of Environment.

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

Christopher E. Holden, C. Woodcock, Zhe Zhu, 2015 .

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

Scott L. Powell, W. Cohen, S. Andréfouët, 2014 .

Benefits of the free and open Landsat data policy

P. Strobl, D. Roy, C. Woodcock, 2019, Remote Sensing of Environment.

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

C. Woodcock, Zhe Zhu, Shixiong Wang, 2015 .

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)

Christopher E. Holden, C. Woodcock, P. Olofsson, 2016 .

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

M. Friedl, Zhe Zhu, E. Melaas, 2013 .

Science of Landsat Analysis Ready Data

Zhe Zhu, 2019 .

Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?

Zhe Zhu, Curtis E. Woodcock, C. Woodcock, 2020 .

Monitoring urban expansion using time series of night-time light data: a case study in Wuhan, China

Zhe Zhu, Jia Liu, Xin Xin, 2017, Remote Sensing of Night-time Light.

Remote Sensing of Environment: Current status of Landsat program, science, and applications

Joanne C. White, Martha C. Anderson, David M. Johnson, 2019 .

Subpixel urban impervious surface mapping: the impact of input Landsat images

Zhe Zhu, Li Xi, Chengbin Deng, 2017 .

Frontiers inEcology and the Environment Bringing an ecological view of change to Landsat-based remote sensing

Scott L. Powell, W. Cohen, S. Andréfouët, 2014 .

Using Landsat Time Series: Stochastic Continuous Change

J. Rogan, J. R. Eastman, Zhe Zhu, 2020 .

A Near-Real-Time Approach for Monitoring Forest Disturbance 1 Using Landsat Time Series : Stochastic Continuous Change 2 Detection 3

J. Rogan, J. R. Eastman, Zhe Zhu, 2020 .

Near-real-time monitoring of land disturbance with harmonized Landsats 7–8 and Sentinel-2 data

Junxue Zhang, Zhe Zhu, S. Qiu, 2022, Remote Sensing of Environment.

A near-real-time approach for monitoring forest disturbance using Landsat time series: stochastic continuous change detection

J. Rogan, Zhe Zhu, R. Eastman, 2020, Remote Sensing of Environment.

Characterizing the Patterns and Trends of Urban Growth in Saudi Arabia's 13 Capital Cities Using a Landsat Time Series

Amal H. Aljaddani, Zhe Zhu, Xiao‐peng Song, 2022, Remote. Sens..

A Global Analysis of the Spatial and Temporal Variability of Usable Landsat Observations at the Pixel Scale

C. Woodcock, M. Friedl, P. Olofsson, 2022, Frontiers in Remote Sensing.

Tree regrowth duration map from LCMAP collection 1.0 land cover products in the conterminous United States, 1985–2017

G. Xian, Zhe Zhu, Congcong Li, 2022, GIScience & Remote Sensing.

Medium Spatial Resolution Mapping of Global Land Cover and Land Cover Change Across Multiple Decades From Landsat

C. Woodcock, M. Friedl, P. Olofsson, 2022, Frontiers in Remote Sensing.

Fifty years of Landsat science and impacts

Joanne C. White, Martha C. Anderson, David M. Johnson, 2022, Remote Sensing of Environment.

Continuous monitoring of nighttime light changes based on daily NASA's Black Marble product suite

Yongquan Zhao, Zhuosen Wang, M. Roman, 2022, Remote Sensing of Environment.

Spatio-Temporal Variation of Habitat Quality for Bird Species in China Caused by Land Use Change during 1995–2015

Zhe Zhu, Bingkui Qiu, Jin-Hua Yao, 2022, Sustainability.

Toward consistent change detection across irregular remote sensing time series observations

Zhe Zhu, D. Viola, D. Wellington, 2023, Remote Sensing of Environment.

Evaluation of Landsat image compositing algorithms

Suming Jin, C. Woodcock, P. Olofsson, 2023, Remote Sensing of Environment.

Current status of Landsat program, science, and applications

Zhe Zhu, Richard G. Allen, John R. Schott, 2019, Remote Sensing of Environment.

Mapping forest change using stacked generalization: An ensemble approach

Zhe Zhu, Chengquan Huang, Limin Yang, 2018 .

Continuous monitoring of land disturbance based on Landsat time series

Zhiqiang Yang, Shi Qiu, Warren B. Cohen, 2020, Remote Sensing of Environment.

Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

Qiang Zhou, Stephen V. Stehman, John L. Dwyer, 2020, Remote Sensing of Environment.

Object-based cloud and cloud shadow detection in Landsat imagery

Zhe Zhu, Curtis E. Woodcock, C. Woodcock, 2012 .

Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data

Zhe Zhu, Bin Tan, Curtis E. Woodcock, 2013 .

Implementation of the CCDC algorithm to produce the LCMAP Collection 1.0 annual land surface change product

G. Xian, Zhe Zhu, Congcong Li, 2022 .

Supplementary material to "Implementation of CCDC to produce the LCMAP Collection 1.0 annual land surface change product"

G. Xian, Zhe Zhu, Congcong Li, 2021 .

Conterminous United States Land-Cover Change (1985–2016): New Insights from Annual Time Series

Bruce W. Pengra, Alemayehu Midekisa, G. Xian, 2022, Land.

Evaluation of the Initial Thematic Output from a Continuous Change-Detection Algorithm for Use in Automated Operational Land-Change Mapping by the U.S. Geological Survey

Zhe Zhu, Devendra Dahal, Bruce W. Pengra, 2016, Remote. Sens..

Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative

Zhe Zhu, Curtis E. Woodcock, Devendra Dahal, 2016 .

Cloud detection algorithm comparison and validation for operational Landsat data products

Zhe Zhu, Song Guo, John L. Dwyer, 2017 .

Comparison of cloud detection algorithms for Sentinel-2 imagery

Shi Qiu, Jeffrey G. Masek, Curtis E. Woodcock, 2020 .

Can Landsat 7 preserve its science capability with a drifting orbit

Zhe Zhu, S. Qiu, C. Crawford, 2021 .

Evaluating the impacts of models, data density and irregularity on reconstructing and forecasting dense Landsat time series

Zhe Zhu, C. Witharana, C. Rittenhouse, 2021 .

Science of Landsat Analysis Ready Data

Zhe Zhu, Zhe Zhu, 2019, Remote. Sens..

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

Zhe Zhu, Zhe Zhu, 2017 .

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, C. Woodcock, 2014 .

Retrieval of Aerodynamic Parameters in Rubber Tree Forests Based on the Computer Simulation Technique and Terrestrial Laser Scanning Data

Xiao Huang, Jiangchuan Fan, Lin Cao, 2020, Remote. Sens..

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

Zhe Zhu, Congcong Li, Limin Yang, 2019, Remote. Sens..

Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017)

Heather E. Golden, Zhe Zhu, Charles R. Lane, 2020, Remote. Sens..

ASI: An artificial surface Index for Landsat 8 imagery

Yongquan Zhao, Zhe Zhu, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Continuous Monitoring of Cotton Stem Water Potential using Sentinel-2 Imagery

Valeriy Kovalskyy, Yukun Lin, Yazhou Sun, 2020, Remote. Sens..

Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance

J. Hicke, A. Meddens, J. Rogan, 2021 .

Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data

Zhe Zhu, Pierre Grussenmeyer, Qiming Qin, 2020, Remote Sensing of Environment.

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

Zhe Zhu, 2017 .

Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images

Zhe Zhu, Xiaolin Zhu, Shengbiao Wu, 2021 .

Automatic extraction of built-up area from ZY3 multi-view satellite imagery: Analysis of 45 global cities

Chun Liu, Zhe Zhu, Jianya Gong, 2019, Remote Sensing of Environment.

Remote Sensing of Environment

B. He, Zhe Zhu, S. Qiu, 2019 .

An Object-Based Approach to Map Young Forest and Shrubland Vegetation Based on Multi-Source Remote Sensing Data

Zhe Zhu, S. Qiu, C. Rittenhouse, 2022, Remote. Sens..

A Continental‐Scale Estimate of Soil Organic Carbon Change at NEON Sites and Their Environmental and Edaphic Controls

P. Townsend, Zhe Zhu, A. Desai, 2023, Journal of Geophysical Research: Biogeosciences.

Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance

Sean P. Healey, Warren B. Cohen, Zhiqiang Yang, 2020, Remote. Sens..

Harmonizing Landsat 8 and Sentinel-2: A time-series-based reflectance adjustment approach

Zhe Zhu, Rong Shang, Zhe Zhu, 2019 .

Remote Sensing of Environment

Zhe Zhu, R. Shang, 2019 .

The impact of improved signal-to-noise ratios on algorithm performance: Case studies for Landsat class instruments

John R. Schott, Randolph H. Wynne, Christine E. Blinn, 2016 .

Making Landsat Time Series Consistent: Evaluating and Improving Landsat Analysis Ready Data

Zhe Zhu, Shi Qiu, Yukun Lin, 2018, Remote. Sens..

Remote Sensing of Land Change: A Multifaceted Perspective

Zhe Zhu, S. Qiu, Zhifeng Zhu, 2022, Remote Sensing of Environment.

Optical Satellite Image Time Series Analysis for Environment Applications: From Classical Methods to Deep Learning and Beyond

Zhe Zhu, S. Qiu, J. Miettinen, 2021, Change Detection and Image Time Series Analysis 2.

Object-based continuous monitoring of land disturbances from dense Landsat time series

Zhe Zhu, G. Cao, Su Ye, 2023, Remote Sensing of Environment.

Corrigendum to continuous monitoring of land disturbance based on Landsat time series, remote sensing of environment, 238, (2020), 11116

Amal H. Aljaddani, W. Cohen, Zhe Zhu, 2020 .

Remote Sensing of Environment

B. He, Zhe Zhu, S. Qiu, 2017 .

Comparative Analyses of Turnovers of Agricultural Products Futures Based on Nonlinear Chaotic Theories

Zhe Zhu, W. Hubei, Qingbin Han, 2015 .

Cloud and Cloud Shadow Detection for Landsat Images: The Fundamental Basis for Analyzing Landsat Time Series

Zhe Zhu, Binbin He, Shi Qiu, 2018 .

National Land Cover Database 2019: A comprehensive strategy for creating the 1986-2019 forest disturbance product

Daniel G. Sorenson, Suming Jin, L. Gass, 2023, Journal of remote sensing.