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Environmental Sciences
China
2023

D-Index & Metrics

Environmental Sciences

D-Index
68
Citations
29678
World Ranking
1836
National Ranking
172

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in China Leader Award

Overview

Dengsheng Lu is affiliated with Fujian Normal University in China and focuses research efforts predominantly within the field of Environmental Science, with particular attention to several subfields. These include Ecology, Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation, and Soil Science.

The scientist's work covers multiple topics related to remote sensing and environmental management. Key areas of research include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Forest ecology and management
  • Remote Sensing and Land Use
  • Forest Ecology and Biodiversity Studies
  • Species Distribution and Climate Change

Publication output is distributed across various venues, with frequent appearances in the following journals:

  • Remote Sensing
  • GIScience & Remote Sensing
  • Geo-spatial Information Science
  • Forests
  • Forest Ecosystems

Among recent papers authored or co-authored by Dengsheng Lu are:

  • "Cropland redistribution to marginal lands undermines environmental sustainability" (2021, National Science Review)
  • "A 30 m resolution dataset of China's urban impervious surface area and green space, 2000-2018" (2021, Earth System Science Data)
  • "Global observation of urban expansion and land-cover dynamics using satellite big-data" (2020, Science Bulletin)
  • "Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data" (2020, Remote Sensing)
  • "Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region" (2020, Remote Sensing)

Dengsheng Lu collaborates frequently with a group of co-authors, including:

  • Guiying Li
  • Dengqiu Li
  • Xiandie Jiang
  • Yaoliang Chen
  • Wenhui Kuang

Best Publications

  • Change detection techniques

    D. Lu;P. Mausel;E. Moran

  • A survey of image classification methods and techniques for improving classification performance

    D. Lu;Q. Weng

  • Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies

    Qihao Weng;Dengsheng Lu;Jacquelyn Schubring

  • The potential and challenge of remote sensing‐based biomass estimation

    Dengsheng Lu

  • Use of impervious surface in urban land-use classification

    Dengsheng Lu;Qihao Weng

  • A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

    Dengsheng Lu;Qi Chen;Guangxing Wang;Lijuan Liu

  • Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon

    D. Lu

  • Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM+ Imagery

    Dengsheng Lu;Qihao Weng

  • Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin

    Dengsheng Lu;Paul Mausel;Eduardo Brondı́zio;Emilio Moran

  • Mapping soil erosion risk in Rondônia, Brazilian Amazonia: using RUSLE, remote sensing and GIS

    D. Lu;G. Li;G. S. Valladares;M. Batistella

  • Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research

    D. Lu;P. Mausel;E. Brondizio;E. Moran

  • Regional mapping of human settlements in southeastern China with multisensor remotely sensed data

    Dengsheng Lu;Hanqin Tian;Guomo Zhou;Hongli Ge

  • Linear mixture model applied to Amazonian vegetation classification

    Dengsheng Lu;Emilio Moran;Mateus Batistella;Mateus Batistella

  • A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States

    Qihao Weng;Dengsheng Lu

  • Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates

    Dengsheng Lu;Qi Chen;Guangxing Wang;Emilio Moran

  • A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces

    Wenhui Kuang;Wenfeng Chi;Dengsheng Lu;Yinyin Dou

  • Urban classification using full spectral information of landsat ETM+ imagery in Marion County, Indiana

    Dengsheng Lu;Qihao Weng

  • Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and biophysical descriptors in Indianapolis, Indiana, USA

    Dengsheng Lu;Qihao Weng

  • Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

    Panpan Zhao;Dengsheng Lu;Guangxing Wang;Chuping Wu

  • Land Cover Classification in a Complex Urban-Rural Landscape with Quickbird Imagery.

    Dengsheng Lu;Scott Hetrick;Emilio Moran

  • Aboveground biomass estimation using Landsat TM data in the

    Brazilian Amazon;D. Lu

Frequent Co-Authors

Emilio F. Moran
Emilio F. Moran Michigan State University
Mateus Batistella
Mateus Batistella Brazilian Agricultural Research Corporation
Qihao Weng
Qihao Weng Hong Kong Polytechnic University
Guangxing Wang
Guangxing Wang Southern Illinois University Carbondale
Eduardo S. Brondizio
Eduardo S. Brondizio Indiana University
Qi Chen
Qi Chen University of Hawaii at Manoa
Chi Zhang
Chi Zhang Linyi University
Jiyuan Liu
Jiyuan Liu Chinese Academy of Sciences
Hanqin Tian
Hanqin Tian Auburn University
Guangsheng Chen
Guangsheng Chen Zhejiang A & F University

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