Guomo Zhou

Orcid: 0000-0003-4204-1129

According to our database1, Guomo Zhou authored at least 23 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023

Intelligent Estimating the Tree Height in Urban Forests Based on Deep Learning Combined with a Smartphone and a Comparison with UAV-LiDAR.
Remote. Sens., January, 2023

Tree Species Classifications of Urban Forests Using UAV-LiDAR Intensity Frequency Data.
Remote. Sens., January, 2023

An Algorithm of Forest Age Estimation Based on the Forest Disturbance and Recovery Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Estimation of Urban Forest Characteristic Parameters Using UAV-Lidar Coupled with Canopy Volume.
Remote. Sens., December, 2022

Spatiotemporal Patterns and Driving Force of Urbanization and Its Impact on Urban Ecology.
Remote. Sens., 2022

Spatiotemporal Evolution of the Carbon Fluxes from Bamboo Forests and their Response to Climate Change Based on a BEPS Model in China.
Remote. Sens., 2022

Prediction of sap flow with historical environmental factors based on deep learning technology.
Comput. Electron. Agric., 2022

2021
Preliminary Application of Ground-Penetrating Radar for Reconstruction of Root System Architecture in Moso Bamboo.
Remote. Sens., 2021

A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification.
Remote. Sens., 2021

Influence of Scale Effect of Canopy Projection on Understory Microclimate in Three Subtropical Urban Broad-Leaved Forests.
Remote. Sens., 2021

Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique - Subtropical Area for Example.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Intelligent Mapping of Urban Forests from High-Resolution Remotely Sensed Imagery Using Object-Based U-Net-DenseNet-Coupled Network.
Remote. Sens., 2020

Spatiotemporal Evolution of Urban Expansion Using Landsat Time Series Data and Assessment of Its Influences on Forests.
ISPRS Int. J. Geo Inf., 2020

2019
Assimilating Multiresolution Leaf Area Index of Moso Bamboo Forest from MODIS Time Series Data Based on a Hierarchical Bayesian Network Algorithm.
Remote. Sens., 2019

2018
Estimating and Analyzing the Spatiotemporal Pattern of Aboveground Carbon in Bamboo Forest by Combining Remote Sensing Data and Improved BIOME-BGC Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Mapping Global Bamboo Forest Distribution Using Multisource Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Topographic Correction of Forest Image Data Based on the Canopy Reflectance Model for Sloping Terrains in Multiple Forward Mode.
Remote. Sens., 2018

2017
Comparison of Two Data Assimilation Methods for Improving MODIS LAI Time Series for Bamboo Forests.
Remote. Sens., 2017

2015
Wireless Sensor Networks for Agriculture and Forestry.
Int. J. Distributed Sens. Networks, 2015

2011
Retrieval of Canopy Closure and LAI of Moso Bamboo Forest Using Spectral Mixture Analysis Based on Real Scenario Simulation.
IEEE Trans. Geosci. Remote. Sens., 2011

2010
Long-term large-scale sensing in the forest: recent advances and future directions of GreenOrbs.
Frontiers Comput. Sci. China, 2010


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