Guomo Zhou
Orcid: 0000-0003-4204-1129
According to our database1,
Guomo Zhou
authored at least 23 papers
between 2010 and 2023.
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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
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
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