Chengquan Huang

According to our database1, Chengquan Huang authored at least 52 papers between 2001 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
Mapping Annual Forest Change Due to Afforestation in Guangdong Province of China Using Active and Passive Remote Sensing Data.
Remote Sensing, 2019

v-soft margin multi-task learning logistic regression.
Int. J. Machine Learning & Cybernetics, 2019

2018
Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Data Integration: Methodology and Validation.
IEEE Trans. Geoscience and Remote Sensing, 2018

Automated Extraction of Surface Water Extent from Sentinel-1 Data.
Remote Sensing, 2018

Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool.
Environmental Modelling and Software, 2018

Development of S-NPP VIIRS global surface type classification map using support vector machines.
Int. J. Digital Earth, 2018

Improved algorithm for image haze removal based on dark channel priority.
Computers & Electrical Engineering, 2018

2017
Mapping 2000-2010 Impervious Surface Change in India Using Global Land Survey Landsat Data.
Remote Sensing, 2017

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery.
Remote Sensing, 2017

Radiometric Cross-Calibration of GF-4 PMS Sensor Based on Assimilation of Landsat-8 OLI Images.
Remote Sensing, 2017

Generalized competitive agglomeration clustering algorithm.
Int. J. Machine Learning & Cybernetics, 2017

Improving global land cover characterization through data fusion.
Geo-spatial Information Science, 2017

Monitoring surface type changes with S-NPP/JPSS VIIRS observations.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

HOTEX: An approach for global mapping of human built-up and settlement extent.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Estimation of forest disturbance intensity from Landsat data in North Carolina and South Carolina.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Automated extraction of inland surface water extent from Sentinel-1 data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack.
Remote Sensing, 2016

Quantifying Live Aboveground Biomass and Forest Disturbance of Mountainous Natural and Plantation Forests in Northern Guangdong, China, Based on Multi-Temporal Landsat, PALSAR and Field Plot Data.
Remote Sensing, 2016

Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods.
Remote Sensing, 2016

Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context.
Remote Sensing, 2016

Multi-view L2-SVM and its multi-view core vector machine.
Neural Networks, 2016

Bayesian Enhanced α-Expansion Move Clustering with Loose Link Constraints.
Neurocomputing, 2016

Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US.
Int. J. Digital Earth, 2016

Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data.
Int. J. Digital Earth, 2016

2015
Analysis of the 2014 "APEC Blue" in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures.
Remote Sensing, 2015

Development of Dense Time Series 30-m Image Products from the Chinese HJ-1A/B Constellation: A Case Study in Zoige Plateau, China.
Remote Sensing, 2015

Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984-2010 Landsat Time Series.
IEEE Geosci. Remote Sensing Lett., 2015

Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative.
IEEE Geosci. Remote Sensing Lett., 2015

North Carolina's forest disturbance and timber production assessed using time series Landsat observations.
Int. J. Digital Earth, 2015

2014
Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover.
Remote Sensing, 2014

Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR.
Remote Sensing, 2014

Integrating global land cover products for improved forest cover characterization: an application in North America.
Int. J. Digital Earth, 2014

Comparison of remote sensing based forest area and change estimation with national forestry inventory between 2000 and 2005 in China.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Multi-temporal cloud and snow detection algorithm for the HJ-1A/B CCD imagery of China.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data.
Remote Sensing, 2013

Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error.
Int. J. Digital Earth, 2013

Automatic deforestation detection using time series Landsat images in a tropical forest of China.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Estimating the Maximal Light Use Efficiency for Different Vegetation through the CASA Model Combined with Time-Series Remote Sensing Data and Ground Measurements.
Remote Sensing, 2012

Quality assessment of Landsat surface reflectance products using MODIS data.
Computers & Geosciences, 2012

Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.
Int. J. Digital Earth, 2012

Generating ground reference data for a global impervious surface survey.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

An approach for quickly labeling land cover types for multiple epochs at globally selected locations.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Monitoring Landscape Change for LANDFIRE Using Multi-Temporal Satellite Imagery and Ancillary Data.
IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 2011

An assessment of global forest cover maps using regional higher-resolution reference data sets.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Methodology to select phenologically suitable Landsat scenes for forest change detection.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2010
Investigation on the Patterns of Global Vegetation Change Using a Satellite-Sensed Vegetation Index.
Remote Sensing, 2010

A distributed data system for interdisciplinary ecosystem services modeling.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2009
Developing Consistent Landsat Data Sets for Large Area Applications: The MRLC 2001 Protocol.
IEEE Geosci. Remote Sensing Lett., 2009

Development of time series stacks of Landsat images for reconstructing forest disturbance history.
Int. J. Digital Earth, 2009

The Construct and Implementation of an E-learning Environment with Moodle on Linux.
Proceedings of the Fifth International Conference on Semantics, Knowledge and Grid, 2009

2007
Assessing North American forest disturbance from the landsat archive.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2001
Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting.
IEEE Trans. Geoscience and Remote Sensing, 2001


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