Zhiliang Zhu
Orcid: 0000-0002-6860-6936Affiliations:
- 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 15 papers
between 2014 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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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
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