Fangjie Mao
Orcid: 0000-0003-2005-3452
According to our database1,
Fangjie Mao
authored at least 25 papers
between 2017 and 2024.
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Collaborative distances:
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Bibliography
2024
UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests.
Remote. Sens., February, 2024
2023
A Deep Learning Network for Individual Tree Segmentation in UAV Images with a Coupled CSPNet and Attention Mechanism.
Remote. Sens., September, 2023
Wavelet Vegetation Index to Improve the Inversion Accuracy of Leaf V25cmax of Bamboo Forests.
Remote. Sens., May, 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
Simulating Future LUCC by Coupling Climate Change and Human Effects Based on Multi-Phase Remote Sensing Data.
Remote. Sens., 2022
2021
Remote Sensing Estimation of Bamboo Forest Aboveground Biomass Based on Geographically Weighted Regression.
Remote. Sens., 2021
A Novel Query Strategy-Based Rank Batch-Mode Active Learning Method for High-Resolution Remote Sensing Image Classification.
Remote. Sens., 2021
Spatiotemporal Evolution of Fractional Vegetation Cover and Its Response to Climate Change Based on MODIS Data in the Subtropical Region of China.
Remote. Sens., 2021
Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Multiscale leaf area index assimilation for Moso bamboo forest based on Sentinel-2 and MODIS data.
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
Application of Convolutional Neural Network on Lei Bamboo Above-Ground-Biomass (AGB) Estimation Using Worldview-2.
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
Spatiotemporal LUCC Simulation under Different RCP Scenarios Based on the BPNN_CA_Markov Model: A Case Study of Bamboo Forest in Anji County.
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
Spatiotemporal Estimation of Bamboo Forest Aboveground Carbon Storage Based on Landsat Data in Zhejiang, China.
Remote. Sens., 2018
2017
Comparison of Two Data Assimilation Methods for Improving MODIS LAI Time Series for Bamboo Forests.
Remote. Sens., 2017