World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
61
Citations
20305
World Ranking
2707
National Ranking
1082

Overview

Chengquan Huang is affiliated with the University of Maryland, College Park in the United States. Their research primarily focuses on environmental science, with significant contributions across several subfields including global and planetary change, environmental engineering, ecology, nature and landscape conservation, and atmospheric science.

The scientist's work extensively involves the application of remote sensing technologies and LiDAR for environmental monitoring and analysis. Major topics covered in their research include remote sensing and LiDAR applications, remote sensing in agriculture, fire effects on ecosystems, land use and ecosystem services, urban heat island mitigation, forest ecology and management, and plant water relations and carbon dynamics.

Chengquan Huang has published numerous articles, frequently appearing in journals such as Remote Sensing, Remote Sensing of Environment, Forests, Forest Ecosystems, and the SSRN Electronic Journal. These venues are central to disseminating findings on remote sensing and environmental monitoring.

  • Remote Sensing
  • Remote Sensing of Environment
  • Forests
  • Forest Ecosystems
  • SSRN Electronic Journal

Significant recent papers by Huang include:

  • "Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine" (2020, Remote Sensing of Environment)
  • "Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning" (2021, Remote Sensing of Environment)
  • "Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data" (2021, Remote Sensing)
  • "Mapping Forested Wetland Inundation in the Delmarva Peninsula, USA Using Deep Convolutional Neural Networks" (2020, Remote Sensing)
  • "A LiDAR biomass index-based approach for tree- and plot-level biomass mapping over forest farms using 3D point clouds" (2023, Remote Sensing of Environment)

Their collaborative network includes frequent coauthors such as Jiaming Lu, Wenjuan Shen, Jiaying He, Tao He, and Megan Lang. These collaborations represent ongoing partnerships across multiple research projects.

  • Jiaming Lu
  • Wenjuan Shen
  • Jiaying He
  • Tao He
  • Megan Lang

Overall, Chengquan Huang's research integrates advanced remote sensing technologies and deep learning to address various environmental challenges, focusing particularly on forest ecosystems, land use changes, and the impact of environmental factors on ecosystems at multiple spatial scales.

Best Publications

  • An assessment of support vector machines for land cover classification

    C. Huang;L. S. Davis;J. R. G. Townshend

  • Development of a 2001 National land-cover database for the United States

    Collin G. Homer;Chengquan Huang;Limin Yang;Bruce K. Wylie

  • An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

    Chengquan Huang;Samuel N. Goward;Jeffrey G. Masek;Nancy Thomas

  • Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance

    Chengquan Huang;Bruce K. Wylie;Limin Yang;Collin G. Homer

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

    Joseph O. Sexton;Xiao-Peng Song;Min Feng;Praveen Noojipady

  • An approach for mapping large-area impervious surfaces: synergistic use of Landsat-7 ETM+ and high spatial resolution imagery

    Limin Yang;Chengquan Huang;Collin G Homer;Bruce K Wylie

  • North American forest disturbance mapped from a decadal Landsat record

    Jeffrey G. Masek;Chengquan Huang;Robert Wolfe;Warren Cohen

  • Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

    Ben DeVries;Ben DeVries;Chengquan Huang;John Armston;Wenli Huang;Wenli Huang

  • Global Characterization and Monitoring of Forest Cover Using Landsat Data: Opportunities and Challenges

    John R. Townshend;Jeffrey G. Masek;ChengQuan Huang;Eric F. Vermote

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

    Chengquan Huang;Kuan Song;Sunghee Kim;John R.G. Townshend

  • Annual Global Automated MODIS Vegetation Continuous Fields (MOD44B) at 250 m Spatial Resolution for Data Years Beginning Day 65, 2000 - 2010

    C.M. DiMiceli;M.L. Carroll;R.A. Sohlberg;C. Huang

  • Urban growth of the Washington, D.C.–Baltimore, MD metropolitan region from 1984 to 2010 by annual, Landsat-based estimates of impervious cover

    Joseph O. Sexton;Xiao-Peng Song;Chengquan Huang;Saurabh Channan

  • Forest disturbance across the conterminous United States from 1985-2012: The emerging dominance of forest decline

    Warren B. Cohen;Zhiqiang Yang;Stephen V. Stehman;Todd A. Schroeder

  • Global, Landsat-based forest-cover change from 1990 to 2000

    Do-Hyung Kim;Joseph O. Sexton;Praveen Noojipady;Chengquan Huang

  • Mapping forest change using stacked generalization: An ensemble approach

    Sean P. Healey;Warren B. Cohen;Zhiqiang Yang;C. Kenneth Brewer

  • Beware of per-pixel characterization of land cover

    J. R. G. Townshend;C. Huang;S. N. V. Kalluri;R. S. Defries

  • Characterizing the magnitude, timing and duration of urban growth from time series of Landsat-based estimates of impervious cover

    Xiao-Peng Song;Joseph O. Sexton;Chengquan Huang;Saurabh Channan

  • Wetland inundation mapping and change monitoring using Landsat and airborne LiDAR data

    Chengquan Huang;Yi Peng;Megan Lang;In-Young Yeo

  • Automated Extraction of Surface Water Extent from Sentinel-1 Data

    Wenli Huang;Ben DeVries;Chengquan Huang;Megan W. Lang

  • Conservation policy and the measurement of forests

    Joseph O. Sexton;Praveen Noojipady;Praveen Noojipady;Praveen Noojipady;Xiao-Peng Song;Min Feng

  • Observations and assessment of forest carbon dynamics following disturbance in North America

    Scott J. Goetz;Benjamin Bond-Lamberty;Beverly E. Law;J. Hicke

  • Impact of sensor's point spread function on land cover characterization: Assessment and deconvolution

    Chengquan Huang;John R.G. Townshend;Shunlin Liang;Satya N.V. Kalluri

Frequent Co-Authors

John R. Townshend
John R. Townshend University of Maryland, College Park
Jeffrey G. Masek
Jeffrey G. Masek Goddard Space Flight Center
Samuel N. Goward
Samuel N. Goward University of Maryland, College Park
Warren B. Cohen
Warren B. Cohen Oregon State University
Sean P. Healey
Sean P. Healey US Forest Service
Robert E. Kennedy
Robert E. Kennedy Oregon State University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey
Ralph Dubayah
Ralph Dubayah University of Maryland, College Park
Ruth S. DeFries
Ruth S. DeFries Columbia University
George C. Hurtt
George C. Hurtt University of Maryland, College Park

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