Chengquan Huang
Orcid: 0000-0003-0055-9798
According to our database1,
Chengquan Huang
authored at least 69 papers
between 2001 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Use of High-Resolution Land Cover Maps to Support the Maintenance of the NWI Geospatial Dataset: A Case Study in a Coastal New Orleans Region.
Remote. Sens., August, 2023
Assessing Carbon Fluxes from Contemporary Forest Disturbances Using a Grid-based Carbon Accounting Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Tracking of Land Reclamation Activities Using Landsat Observations - An Example in Shanghai and Hangzhou Bay.
Remote. Sens., 2022
Integration of VIIRS Observations with GEDI-Lidar Measurements to Monitor Forest Structure Dynamics from 2013 to 2020 across the Conterminous United States.
Remote. Sens., 2022
2021
Very Rapid Forest Cover Change in Sichuan Province, China: 40 Years of Change Using Images From Declassified Spy Satellites and Landsat.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Characterizing Wetland Inundation and Vegetation Dynamics in the Arctic Coastal Plain Using Recent Satellite Data and Field Photos.
Remote. Sens., 2021
Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data.
Remote. Sens., 2021
J. Intell. Fuzzy Syst., 2021
Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product.
Int. J. Digit. Earth, 2021
Proceedings of the ICIGP 2021: The 4th International Conference on Image and Graphics Processing, Sanya, China, 1, 2021
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021
2020
Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China.
Remote. Sens., 2020
Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China.
Remote. Sens., 2020
Improved Detection of Inundation below the Forest Canopy using Normalized LiDAR Intensity Data.
Remote. Sens., 2020
Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks.
Remote. Sens., 2020
Snowmelt velocity predicts vegetation green-wave velocity in mountainous ecological systems of North America.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Mapping Annual Forest Change Due to Afforestation in Guangdong Province of China Using Active and Passive Remote Sensing Data.
Remote. Sens., 2019
Int. J. Mach. Learn. Cybern., 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Data Integration: Methodology and Validation.
IEEE Trans. Geosci. Remote. Sens., 2018
Remote. Sens., 2018
Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool.
Environ. Model. Softw., 2018
Development of S-NPP VIIRS global surface type classification map using support vector machines.
Int. J. Digit. Earth, 2018
Comput. Electr. Eng., 2018
2017
Mapping 2000-2010 Impervious Surface Change in India Using Global Land Survey Landsat Data.
Remote. Sens., 2017
Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery.
Remote. Sens., 2017
Radiometric Cross-Calibration of GF-4 PMS Sensor Based on Assimilation of Landsat-8 OLI Images.
Remote. Sens., 2017
Int. J. Mach. Learn. Cybern., 2017
Geo spatial Inf. Sci., 2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
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
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. Sens., 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. Sens., 2016
Predicting Grassland Leaf Area Index in the Meadow Steppes of Northern China: A Comparative Study of Regression Approaches and Hybrid Geostatistical Methods.
Remote. Sens., 2016
Cloud and Snow Discrimination for CCD Images of HJ-1A/B Constellation Based on Spectral Signature and Spatio-Temporal Context.
Remote. Sens., 2016
Neurocomputing, 2016
Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US.
Int. J. Digit. Earth, 2016
Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data.
Int. J. Digit. 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. Sens., 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. Sens., 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. Sens. Lett., 2015
Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative.
IEEE Geosci. Remote. Sens. Lett., 2015
North Carolina's forest disturbance and timber production assessed using time series Landsat observations.
Int. J. Digit. Earth, 2015
2014
Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover.
Remote. Sens., 2014
Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR.
Remote. Sens., 2014
Integrating global land cover products for improved forest cover characterization: an application in North America.
Int. J. Digit. 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. Sens., 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. Digit. 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. Sens., 2012
Comput. Geosci., 2012
Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges.
Int. J. Digit. Earth, 2012
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. Top. Appl. Earth Obs. Remote. Sens., 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. Sens., 2010
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. Sens. Lett., 2009
Development of time series stacks of Landsat images for reconstructing forest disturbance history.
Int. J. Digit. Earth, 2009
Proceedings of the Fifth International Conference on Semantics, Knowledge and Grid, 2009
2007
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. Geosci. Remote. Sens., 2001