World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
61
Citations
16221
World Ranking
2729
National Ranking
271

Overview

Le Yu is affiliated with Tsinghua University in China and specializes in Environmental Science, with a particular focus on global and planetary change. Their research spans several subfields, including ecology, environmental engineering, atmospheric science, and health, toxicology, and mutagenesis.

The scientist's work covers a variety of main topics, including:

  • Land Use and Ecosystem Services
  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Conservation, Biodiversity, and Resource Management
  • Remote Sensing and LiDAR Applications
  • Oil Palm Production and Sustainability
  • Urban Heat Island Mitigation

Le Yu has contributed to several frequent publication venues. These include:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Remote Sensing
  • Earth system science data
  • Scientific Data
  • The Lancet Public Health

Among notable recent papers are:

  • "Mapping global urban boundaries from the global artificial impervious area (GAIA) data," 2020, Environmental Research Letters
  • "Progress and Trends in the Application of Google Earth and Google Earth Engine," 2021, Remote Sensing
  • "Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data," 2021, Journal of Cleaner Production
  • "The 2020 China report of the Lancet Countdown on health and climate change," 2020, The Lancet Public Health
  • "Warming reduces global agricultural production by decreasing cropping frequency and yields," 2022, Nature Climate Change

Le Yu collaborates frequently with a number of co-authors, including:

  • Peng Gong
  • Dailiang Peng
  • Zhenrong Du
  • Yidi Xu
  • Wei Li

Best Publications

  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

    Peng Gong;Jie Wang;Le Yu;Yongchao Zhao

  • Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

    Peng Gong;Han Liu;Meinan Zhang;Congcong Li

  • Managing nitrogen to restore water quality in China

    ChaoQing Yu;Xiao Huang;Han Chen;H. Charles J. Godfray

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

    Weijia Li;Haohuan Fu;Le Yu;Arthur P. Cracknell

  • Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives

    Le Yu;Peng Gong

  • China’s urban expansion from 1990 to 2010 determined with satellite remote sensing

    Lei Wang;Lei Wang;CongCong Li;Qing Ying;Xiao Cheng;Xiao Cheng

  • Global urban expansion offsets climate-driven increases in terrestrial net primary productivity

    Xiaoping Liu;Fengsong Pei;Youyue Wen;Xia Li;Xia Li;Xia Li

  • Spatial multi-objective land use optimization: extensions to the non-dominated sorting genetic algorithm-II

    Kai Cao;Michael Batty;Bo Huang;Yan Liu

  • Progress and Trends in the Application of Google Earth and Google Earth Engine

    Qiang Zhao;Le Yu;Xuecao Li;Dailiang Peng

  • Detailed dynamic land cover mapping of Chile: Accuracy improvement by integrating multi-temporal data

    Yuanyuan Zhao;Duole Feng;Le Yu;Xiaoyi Wang;Xiaoyi Wang

  • Towards automatic lithological classification from remote sensing data using support vector machines

    Le Yu;Alok Porwal;Eun-Jung Holden;Michael C. Dentith

  • Semantic Segmentation-Based Building Footprint Extraction Using Very High-Resolution Satellite Images and Multi-Source GIS Data

    Weijia Li;Conghui He;Jiarui Fang;Juepeng Zheng

  • Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data

    Dong Xu;Feng Yang;Le Yu;Yuyu Zhou

  • Automated mapping of soybean and corn using phenology

    Liheng Zhong;Lina Hu;Le Yu;Peng Gong;Peng Gong

  • Towards a common validation sample set for global land-cover mapping

    Yuanyuan Zhao;Peng Gong;Le Yu;Luanyun Hu

  • A fast and fully automatic registration approach based on point features for multi-source remote-sensing images

    Le Yu;Dengrong Zhang;Eun-Jung Holden

  • Improving 30 m global land-cover map FROM-GLC with time series MODIS and auxiliary data sets: a segmentation-based approach

    Le Yu;Jie Wang;Peng Gong

  • The 2020 China report of the Lancet Countdown on health and climate change.

    Wenjia Cai;Chi Zhang;Hoi Ping Suen;Siqi Ai

  • The first all-season sample set for mapping global land cover with Landsat-8 data

    Congcong Li;Congcong Li;Peng Gong;Jie Wang;Zhiliang Zhu

  • Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

    Weijia Li;Haohuan Fu;Le Yu;Peng Gong

  • Meta-discoveries from a synthesis of satellite-based land-cover mapping research

    Le Yu;Lu Liang;Jie Wang;Yuanyuan Zhao

  • FROM-GC: 30 m global cropland extent derived through multisource data integration

    Le Yu;Jie Wang;Nicholas Clinton;Qinchuan Xin

Frequent Co-Authors

Peng Gong
Peng Gong University of Hong Kong
Xuecao Li
Xuecao Li China Agricultural University
Hui Lu
Hui Lu Tsinghua University
Nicholas Clinton
Nicholas Clinton Google (United States)
Bing Xu
Bing Xu Tsinghua University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey
Xiaoping Liu
Xiaoping Liu Sun Yat-sen University
Bin Chen
Bin Chen Beijing Normal University
Wei Li
Wei Li Tsinghua University
Arthur P. Cracknell
Arthur P. Cracknell University of Dundee

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