Bing Xu

Orcid: 0000-0001-9159-2512

Affiliations:
  • Beijing Normal University, College of Global Change and Earth System Science, China
  • Tsinghua University, Department of Earth System Science, Beijing, China (former)
  • University of Utah, Department of Geography, Salt Lake City, UT, USA (2004 - 2008)
  • Texas State University, San Marcos, TX, USA (2003 - 2004)
  • University of California Berkeley, CA, USA (PhD 2003)


According to our database1, Bing Xu authored at least 27 papers between 2013 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning.
Remote. Sens., 2021

Sectoral Energy-Consumption Estimation by Unmixed Nighttime Light in Shanghai, China.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Improved Mapping Results of 10 m Resolution Land Cover Classification in Guangdong, China Using Multisource Remote Sensing Data With Google Earth Engine.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Regional Mapping of Essential Urban Land Use Categories in China: A Segmentation-Based Approach.
Remote. Sens., 2020

Sampling Strategy for Detailed Urban Land Use Classification: A Systematic Analysis in Shenzhen.
Remote. Sens., 2020

Where Does Nighttime Light Come From? Insights from Source Detection and Error Attribution.
Remote. Sens., 2020

2019
Preliminary Evaluation of the Consistency of Landsat 8 and Sentinel-2 Time Series Products in An Urban Area - An Example in Beijing, China.
Remote. Sens., 2019

Himawari-8/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison.
Remote. Sens., 2019

Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration.
PLoS Comput. Biol., 2019

2018
Addendum: Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China. <i>Remote Sens</i>. 2017, 9, 1076.
Remote. Sens., 2018

Monitoring mangrove forest change in China from 1990 to 2015 using Landsat-derived spectral-temporal variability metrics.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
Spatially and Temporally Weighted Regression: A Novel Method to Produce Continuous Cloud-Free Landsat Imagery.
IEEE Trans. Geosci. Remote. Sens., 2017

Using Satellite Data for the Characterization of Local Animal Reservoir Populations of Hantaan Virus on the Weihe Plain, China.
Remote. Sens., 2017

Forest Types Classification Based on Multi-Source Data Fusion.
Remote. Sens., 2017

Examining the Influence of Crop Residue Burning on Local PM<sub>2.5</sub> Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data.
Remote. Sens., 2017

Penalized Linear Discriminant Analysis of Hyperspectral Imagery for Noise Removal.
IEEE Geosci. Remote. Sens. Lett., 2017

A hierarchical spatiotemporal adaptive fusion model using one image pair.
Int. J. Digit. Earth, 2017

2016
An Image-Segmentation-Based Urban DTM Generation Method Using Airborne Lidar Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Constucting a unified framework for multi-source remotely sensed data fusion.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Comparison of Spatiotemporal Fusion Models: A Review.
Remote. Sens., 2015

A Novel Method for Measuring Landscape Heterogeneity Changes.
IEEE Geosci. Remote. Sens. Lett., 2015

Fine Land Cover Classification Using Daily Synthetic Landsat-Like Images at 15-m Resolution.
IEEE Geosci. Remote. Sens. Lett., 2015

Spatiotemporal reflectance blending in a wetland environment.
Int. J. Digit. Earth, 2015

Anthropogenic factors and societal response to challenges in the transmission of highly pathogenic avian influenza A (H5N1).
Ann. GIS, 2015

Persistence and transmission of avian influenza A (H5N1): virus movement, risk factors and pandemic potential.
Ann. GIS, 2015

2014
Dynamic monitoring of wetland cover changes using time-series remote sensing imagery.
Ecol. Informatics, 2014

2013
A Novel Compound Smoother - RMMEH to Reconstruct MODIS NDVI Time Series.
IEEE Geosci. Remote. Sens. Lett., 2013


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