Chengquan Huang

发表

Forest-Cover Change Detection Using Support Vector Machines

Chengquan Huang, Kuan Song, Chengquan Huang, 2012 .

Generalized competitive agglomeration clustering algorithm

Korris Fu-Lai Chung, Shitong Wang, Chengquan Huang, 2016, International Journal of Machine Learning and Cybernetics.

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

Xu Wang, Fan Yang, Chengquan Huang, 2016, Remote. Sens..

Texture features for land cover change detection at 250 m resolution-an application of machine learning feature subset selection

Chengquan Huang, Jonathan Cheung-Wai Chan, Ruth S. DeFries, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

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

Chengquan Huang, Ainong Li, Jinhu Bian, 2016, Remote. Sens..

Multi-temporal cloud and snow detection algorithm for the HJ-1A/B CCD imagery of China

Chengquan Huang, Ainong Li, Guangbin Lei, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks

Chengquan Huang, Zhenhua Zou, Xin Zhang, 2020, Remote. Sens..

HOTEX: An approach for global mapping of human built-up and settlement extent

Chengquan Huang, Eric C. Brown de Colstoun, Bin Tan, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Quality assessment of Landsat surface reflectance products using MODIS data

Chengquan Huang, Min Feng, Eric F. Vermote, 2012, Comput. Geosci..

Integrating global land cover products for improved forest cover characterization: an application in North America

Chengquan Huang, Min Feng, Joseph O. Sexton, 2014, Int. J. Digit. Earth.

Radiometric Cross-Calibration of GF-4 PMS Sensor Based on Assimilation of Landsat-8 OLI Images

Chengquan Huang, Deren Li, Ting Bai, 2017, Remote. Sens..

Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China

Chengquan Huang, Mingshi Li, Jinwei Dong, 2020, Remote. Sens..

Investigation on the Patterns of Global Vegetation Change Using a Satellite-Sensed Vegetation Index

Chengquan Huang, Wei Deng, Ainong Li, 2010, Remote. Sens..

Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error

Chengquan Huang, Min Feng, Do-Hyung Kim, 2013, Int. J. Digit. Earth.

Developing Consistent Landsat Data Sets for Large Area Applications: The MRLC 2001 Protocol

Chengquan Huang, Gyanesh Chander, Limin Yang, 2009, IEEE Geoscience and Remote Sensing Letters.

Building a consistent medium resolution satellite data set using moderate resolution imaging spectroradiometer products as reference

Chengquan Huang, Robert E. Wolfe, Feng Gao, 2010 .

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

Chengquan Huang, Xin Tao, Mingshi Li, 2019, Remote. Sens..

Improved Detection of Inundation below the Forest Canopy using Normalized LiDAR Intensity Data

Chengquan Huang, Megan W. Lang, Gregory W. McCarty, 2020, Remote. Sens..

Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting

Chengquan Huang, Jonathan Cheung-Wai Chan, Ruth S. DeFries, 2001, IEEE Trans. Geosci. Remote. Sens..

Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

Chengquan Huang, Jeffrey G. Masek, John R. G. Townshend, 2010 .

Detecting land cover changes based on their trajectories in the spectral space

Chengquan Huang, Ruth S. DeFries, Xiwu Zhan, 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

North Carolina’s forest disturbance and timber production assessed using time series Landsat observations

Chengquan Huang, Zhiliang Zhu, Pui-Yu Ling, 2015, Int. J. Digit. Earth.

Mapping forest change using stacked generalization: An ensemble approach

Zhe Zhu, Chengquan Huang, Limin Yang, 2018 .

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

Chengquan Huang, Ainong Li, Guangbin Lei, 2012, Remote. Sens..

Multi-view L2-SVM and its multi-view core vector machine

Korris Fu-Lai Chung, Shitong Wang, Chengquan Huang, 2016, Neural Networks.

Validation of GOES-16 ABI and MSG SEVIRI active fire products

Chengquan Huang, Louis Giglio, Wilfrid Schroeder, 2019, Int. J. Appl. Earth Obs. Geoinformation.

Mapping 2000-2010 Impervious Surface Change in India Using Global Land Survey Landsat Data

Chengquan Huang, Eric C. Brown de Colstoun, Panshi Wang, 2017, Remote. Sens..

Global characterization and monitoring of forest cover using Landsat data: opportunities and challenges

Chengquan Huang, Kuan Song, Min Feng, 2012, Int. J. Digit. Earth.

Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative

Chengquan Huang, Guoqing Sun, K. Jon Ranson, 2015, IEEE Geoscience and Remote Sensing Letters.

v-soft margin multi-task learning logistic regression

Shitong Wang, Chengquan Huang, Xingguang Pan, 2019, Int. J. Mach. Learn. Cybern..

Monitoring Landscape Change for LANDFIRE Using Multi-Temporal Satellite Imagery and Ancillary Data

Chengquan Huang, Stephen Howard, Brian Tolk, 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Automated Quantification of Surface Water Inundation in Wetlands Using Optical Satellite Imagery

Chengquan Huang, John W. Jones, Wenli Huang, 2017, Remote. Sens..

Estimation of forest disturbance intensity from Landsat data in North Carolina and South Carolina

Feng Zhao, Chengquan Huang, Xin Tao, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

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

Rui Zhang, Chengquan Huang, Jianying Yang, 2015, Remote. Sens..

Monitoring surface type changes with S-NPP/JPSS VIIRS observations

Rui Zhang, Chengquan Huang, Fuzhong Weng, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Development of time series stacks of Landsat images for reconstructing forest disturbance history

Chengquan Huang, Zhiliang Zhu, Feng Gao, 2009, Int. J. Digit. Earth.

Automated Extraction of Surface Water Extent from Sentinel-1 Data

Chengquan Huang, John W. Jones, Wenli Huang, 2018, Remote. Sens..

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

Chengquan Huang, Mingshi Li, Wenjuan Shen, 2016, Remote. Sens..

Comparison of remote sensing based forest area and change estimation with national forestry inventory between 2000 and 2005 in China

Chengquan Huang, Saurabh Channan, John R. Townshend, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

A distributed data system for interdisciplinary ecosystem services modeling

Chengquan Huang, Zhiliang Zhu, Min Feng, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Improving Satellite Estimates of the Fraction of Absorbed Photosynthetically Active Radiation Through Data Integration: Methodology and Validation

Chengquan Huang, Shunlin Liang, Tao He, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Assessment of the three factors affecting Myanmar's forest cover change using Landsat and MODIS vegetation continuous fields data

Ping Zhang, Chengquan Huang, Yan Guo, 2016, Int. J. Digit. Earth.

Generating ground reference data for a global impervious surface survey

Chengquan Huang, Robert E. Wolfe, Eric C. Brown de Colstoun, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

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

Chengquan Huang, Ainong Li, Jinhu Bian, 2015, Remote. Sens..

Improving global land cover characterization through data fusion

Chengquan Huang, John R. Townshend, Xiao-Peng Song, 2017, Geo spatial Inf. Sci..

Use of a dark object concept and support vector machines to automate forest cover change analysis

Chengquan Huang, Kuan Song, Paul Davis, 2008 .

Long-Term Post-Disturbance Forest Recovery in the Greater Yellowstone Ecosystem Analyzed Using Landsat Time Series Stack

Chengquan Huang, Zhiliang Zhu, Le Yu, 2016, Remote. Sens..

An assessment of global forest cover maps using regional higher-resolution reference data sets

Chengquan Huang, Min Feng, Joseph O. Sexton, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Annual Detection of Forest Cover Loss Using Time Series Satellite Measurements of Percent Tree Cover

Chengquan Huang, Joseph O. Sexton, Saurabh Channan, 2014, Remote. Sens..

Improved algorithm for image haze removal based on dark channel priority

Dong Yang, Lin Wang, Chengquan Huang, 2017, Comput. Electr. Eng..

Methodology to select phenologically suitable Landsat scenes for forest change detection

Chengquan Huang, Do-Hyung Kim, Joseph O. Sexton, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Quantifying the Actual Impacts of Forest Cover Change on Surface Temperature in Guangdong, China

Chengquan Huang, Wenjuan Shen, Jiaying He, 2020, Remote. Sens..

Bayesian Enhanced α-Expansion Move Clustering with Loose Link Constraints

Yizhang Jiang, Korris Fu-Lai Chung, Shitong Wang, 2016, Neurocomputing.

An Enhanced Spatial and Temporal Data Fusion Model for Fusing Landsat and MODIS Surface Reflectance to Generate High Temporal Landsat-Like Data

Wei Zhang, Chengquan Huang, Zhihao Qin, 2013, Remote. Sens..

Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US

Chengquan Huang, Jennifer L. Dungan, Jeffrey G. Masek, 2016, Int. J. Digit. Earth.

Use of Vegetation Change Tracker and Support Vector Machine to Map Disturbance Types in Greater Yellowstone Ecosystems in a 1984–2010 Landsat Time Series

Chengquan Huang, Zhiliang Zhu, Feng R. Zhao, 2015, IEEE Geoscience and Remote Sensing Letters.

The Construct and Implementation of an E-learning Environment with Moodle on Linux

Chengquan Huang, 2009, 2009 Fifth International Conference on Semantics, Knowledge and Grid.

An approach for quickly labeling land cover types for multiple epochs at globally selected locations

Chengquan Huang, Min Feng, Joseph O. Sexton, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Deciphering the Precision of Stereo IKONOS Canopy Height Models for US Forests with G-LiHT Airborne LiDAR

Feng Zhao, Chengquan Huang, Jeffrey G. Masek, 2014, Remote. Sens..

Development of S-NPP VIIRS global surface type classification map using support vector machines

Rui Zhang, Chengquan Huang, Xiwu Zhan, 2018, Int. J. Digit. Earth.

Assessing the performance of a physically-based soil moisture module integrated within the Soil and Water Assessment Tool

Chengquan Huang, Feng Gao, Xuesong Zhang, 2018, Environ. Model. Softw..

Automated extraction of inland surface water extent from Sentinel-1 data

Chengquan Huang, John W. Jones, Wenli Huang, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Characterizing Wetland Inundation and Vegetation Dynamics in the Arctic Coastal Plain Using Recent Satellite Data and Field Photos

Chengquan Huang, Megan W. Lang, Matthew J. Macander, 2021, Remote. Sens..

Very Rapid Forest Cover Change in Sichuan Province, China: 40 Years of Change Using Images From Declassified Spy Satellites and Landsat

Chengquan Huang, Ainong Li, Yong Pang, 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data

Chengquan Huang, Xiwu Zhan, Khaldoun Rishmawi, 2021, Remote. Sens..

Detecting post-fire burn severity and vegetation recovery using multitemporal remote sensing spectral indices and field-collected composite burn index data in a ponderosa pine forest

Chengquan Huang, Limin Yang, Xuexia Chen, 2011 .

Conservation policy and the measurement of forests

Chengquan Huang, Min Feng, Joseph O. Sexton, 2016 .

Detection of burned areas from mega-fires using daily and historical MODIS surface reflectance

Chengquan Huang, Xianjun Hao, John J. Qu, 2015 .

Modeling the height of young forests regenerating from recent disturbances in Mississippi using Landsat and ICESat data

Chengquan Huang, Guoqing Sun, Ainong Li, 2011 .

Integrating a process‐based ecosystem model with Landsat imagery to assess impacts of forest disturbance on terrestrial carbon dynamics: Case studies in Alabama and Mississippi

Chengquan Huang, Hanqin Tian, Shufen Pan, 2013 .

A Landsat 7 scene selection strategy for a national land cover database

Chengquan Huang, Limin Yang, C. Homer, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data

Chengquan Huang, Sean P. Healey, Warren B. Cohen, 2014 .

Mapping Three-dimensional Urban Structure by Fusing Landsat and Global Elevation Data

Chengquan Huang, James C. Tilton, Panshi Wang, 2018, 1807.04368.

The 250 m global land cover change product from the Moderate Resolution Imaging Spectroradiometer of NASA's Earth Observing System

Chengquan Huang, Ruth S. DeFries, Xiwu Zhan, 2000 .

Effects of fire severity and post-fire climate on short-term vegetation recovery of mixed-conifer and red fir forests in the Sierra Nevada Mountains of California

Chengquan Huang, Philip E. Dennison, Max A. Moritz, 2015 .

Development and validation of the global surface type data product from S-NPP VIIRS

Chengquan Huang, Kuan Song, Qin Dai, 2016 .

Regional forest growth rates measured by combining ICESat GLAS and Landsat data

Chengquan Huang, Guoqing Sun, Jeffrey G. Masek, 2009 .