Zhiliang Zhu

Orcid: 0000-0002-6860-6936

Affiliations:
  • U. S. Geological Survey, Reston, VA, USA
  • University of Michigan, Ann Arbor, MI, USA (PhD 1989)


According to our database1, Zhiliang Zhu authored at least 17 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Above- and Belowground Biomass Carbon Stock and Net Primary Productivity Maps for Tidal Herbaceous Marshes of the United States.
Remote. Sens., March, 2023

2022
Developing a Land Continuous Variable Estimator to Generate Daily Land Products From Landsat Data.
IEEE Trans. Geosci. Remote. Sens., 2022

2020
Substantially Greater Carbon Emissions Estimated Based on Annual Land-Use Transition Data.
Remote. Sens., 2020

Spatially explicit reconstruction of post-megafire forest recovery through landscape modeling.
Environ. Model. Softw., 2020

Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements.
Int. J. Appl. Earth Obs. Geoinformation, 2020

2019
Long-Term Land Cover Dynamics (1986-2016) of Northeast China Derived from a Multi-Temporal Landsat Archive.
Remote. Sens., 2019

Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China.
Remote. Sens., 2019

2018
Downscaling of Surface Soil Moisture Retrieval by Combining MODIS/Landsat and In Situ Measurements.
Remote. Sens., 2018

2017
A coupled modeling framework for predicting ecosystem carbon dynamics in boreal forests.
Environ. Model. Softw., 2017

2016
Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack.
Remote. Sens., 2016

A new research paradigm for global land cover mapping.
Ann. GIS, 2016

2015
Variability and climate change trend in vegetation phenology of recent decades in the Greater Khingan Mountain area, Northeastern China.
Remote. Sens., 2015

Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984-2010 Landsat Time Series.
IEEE Geosci. Remote. Sens. Lett., 2015

North Carolina's forest disturbance and timber production assessed using time series Landsat observations.
Int. J. Digit. Earth, 2015

2014
Mapping Mountain Pine Beetle Mortality through Growth Trend Analysis of Time-Series Landsat Data.
Remote. Sens., 2014

2010
A distributed data system for interdisciplinary ecosystem services modeling.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Development of time series stacks of Landsat images for reconstructing forest disturbance history.
Int. J. Digit. Earth, 2009


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