Xiaodong Huang

Orcid: 0000-0002-3573-718X

Affiliations:
  • University of Western Ontario, Department of Geography, London, ON, Canada


According to our database1, Xiaodong Huang authored at least 19 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Soil Moisture Retrieval Using SAR Backscattering Ratio Method during the Crop Growing Season.
Remote. Sens., 2022

Estimating Soil Moisture over Winter Wheat Fields during Growing Season Using RADARSAT-2 Data.
Remote. Sens., 2022

NISAR: Open Access and Operational L-Band Data for Agricultural Science.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Retrieving Soil Moisture Over Soybean Fields During Growing Season Through Polarimetric Decomposition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Estimating Soil Moisture Over Winter Wheat Fields During Growing Season Using Machine-Learning Methods.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data.
Remote. Sens., 2021

Choosing the Dependent Variable in SAR Backscatter - Forest Biomass Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network.
Remote. Sens., 2020

Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data.
Remote. Sens., 2020

2019
Retrieving Surface Soil Moisture over Wheat and Soybean Fields during Growing Season Using Modified Water Cloud Model from Radarsat-2 SAR Data.
Remote. Sens., 2019

2018
Fusion of Moderate Resolution Earth Observations for Operational Crop Type Mapping.
Remote. Sens., 2018

Assessment of Forest above Ground Biomass Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data.
Remote. Sens., 2018

Study of a Simple Volume Scattering Model on Burned Forest Using Polarimetric PALSAR-2 Data.
IEEE Geosci. Remote. Sens. Lett., 2018

2017
A simple target scattering model with geometric features on crop characterization using polsar data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
An Integrated Surface Parameter Inversion Scheme Over Agricultural Fields at Early Growing Stages by Means of C-Band Polarimetric RADARSAT-2 Imagery.
IEEE Trans. Geosci. Remote. Sens., 2016

An Adaptive Two-Component Model-Based Decomposition on Soil Moisture Estimation for C-Band RADARSAT-2 Imagery Over Wheat Fields at Early Growing Stages.
IEEE Geosci. Remote. Sens. Lett., 2016

Monitoring soil moisture over wheat and soybean fields during growing season using synthetic aperture radar.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Urban water body detection from the combination of high-resolution optical and SAR images.
Proceedings of the Joint Urban Remote Sensing Event, 2015

Surface parameter inversion scheme over agricultural fields with crop residues and under low vegetation cover from RADARSAT-2 imagery.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015


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