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Computer Science

D-Index
48
Citations
13242
World Ranking
6057
National Ranking
802

Overview

Guangjian Yan is affiliated with Beijing Normal University in China and is active in the field of environmental science, with a particular focus on remote sensing and its applications. Their work spans multiple subfields including environmental engineering, ecology, global and planetary change, atmospheric science, and nature and landscape conservation.

The primary topics of Guangjian Yan's research highlight an emphasis on remote sensing technologies and their applications in various environmental contexts. These include:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • Forest Ecology and Management
  • Land Use and Ecosystem Services
  • Plant Water Relations and Carbon Dynamics
  • 3D Surveying and Cultural Heritage

Guangjian Yan has contributed significantly to several notable scientific venues. Frequent publication outlets include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing of Environment
  • National Remote Sensing Bulletin
  • Journal of Remote Sensing
  • Remote Sensing

Among their recent published papers are:

  • "Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications" (2022) in Reviews of Geophysics
  • "Soil moisture experiment in the Luan River supporting new satellite mission opportunities" (2020) in Remote Sensing of Environment
  • "Evaluation of the Vegetation-Index-Based Dimidiate Pixel Model for Fractional Vegetation Cover Estimation" (2021) in IEEE Transactions on Geoscience and Remote Sensing
  • "Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)" (2021) in International Journal of Remote Sensing
  • "Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives" (2023) in ISPRS Journal of Photogrammetry and Remote Sensing

Frequent collaborators include:

  • Xihan Mu
  • Donghui Xie
  • Wuming Zhang
  • Jianbo Qi
  • Linyuan Li

Best Publications

  • Satellite-derived land surface temperature: Current status and perspectives

    Zhao-Liang Li;Bo-Hui Tang;Hua Wu;Huazhong Ren

  • An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation

    Wuming Zhang;Jianbo Qi;Peng Wan;Hongtao Wang

  • A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data

    Zhao-Liang Li;Ronglin Tang;Zhengming Wan;Yuyun Bi

  • Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction

    Zhangyan Jiang;Alfredo R. Huete;Jin Chen;Yunhao Chen

  • Land surface emissivity retrieval from satellite data

    Zhao-Liang Li;Hua Wu;Ning Wang;Shi Qiu

  • Watershed Allied Telemetry Experimental Research

    Xin Li;Xiaowen Li;Xiaowen Li;Zengyuan Li;Mingguo Ma

  • Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives

    Guangjian Yan;Ronghai Hu;Ronghai Hu;Jinghui Luo;Marie Weiss

  • Evaluation of MODIS LAI/FPAR product Collection 6. Part 2: Validation and intercomparison

    Kai Yan;Taejin Park;Guangjian Yan;Zhao Liu

  • LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes

    Jianbo Qi;Donghui Xie;Tiangang Yin;Tiangang Yin;Guangjian Yan

  • Radiation Transfer Model Intercomparison (RAMI) exercise: Results from the second phase

    B. Pinty;J.-L. Widlowski;M. Taberner;N. Gobron

  • Evaluation of MODIS LAI/FPAR Product Collection 6. Part 1: Consistency and Improvements

    Kai Yan;Taejin Park;Guangjian Yan;Chi Chen

  • Automatic Extraction of Power Lines From Aerial Images

    Guangjian Yan;Chaoyang Li;Guoqing Zhou;Wuming Zhang

  • Soil moisture experiment in the Luan River supporting new satellite mission opportunities

    Tianjie Zhao;Jiancheng Shi;Liqing Lv;Hongxin Xu

  • Estimating fractional vegetation cover and the vegetation index of bare soil and highly dense vegetation with a physically based method

    Wanjuan Song;Xihan Mu;Gaiyan Ruan;Zhan Gao

  • A novel method for extracting green fractional vegetation cover from digital images

    Yaokai Liu;Yaokai Liu;Xihan Mu;Haoxing Wang;Guangjian Yan

  • Generating Global Products of LAI and FPAR From SNPP-VIIRS Data: Theoretical Background and Implementation

    Kai Yan;Taejin Park;Chi Chen;Baodong Xu

  • Atmospheric water vapor retrieval from Landsat 8 thermal infrared images

    Huazhong Ren;Chen Du;Rongyuan Liu;Qiming Qin

  • The delineation of agricultural management zones with high resolution remotely sensed data

    Xiaoyu J. Song;Xiaoyu J. Song;Jihua Wang;Wenjiang Huang;Liangyun Liu

  • Evaluation of the Vegetation-Index-Based Dimidiate Pixel Model for Fractional Vegetation Cover Estimation

    Kai Yan;Si Gao;Haojing Chi;Jianbo Qi

  • A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data

    Wuming Zhang;Peng Wan;Tiejun Wang;Shangshu Cai

  • Consistent retrieval methods to estimate land surface shortwave and longwave radiative flux components under clear-sky conditions

    Tianxing Wang;Guangjian Yan;Ling Chen

Frequent Co-Authors

Zhao-Liang Li
Zhao-Liang Li University of Strasbourg
Xiaowen Li
Xiaowen Li Tsinghua University
Ranga B. Myneni
Ranga B. Myneni Boston University
Jiancheng Shi
Jiancheng Shi Chinese Academy of Sciences
Yuri Knyazikhin
Yuri Knyazikhin Boston University
Shunlin Liang
Shunlin Liang University of Hong Kong
Qinhuo Liu
Qinhuo Liu Chinese Academy of Sciences
Tiejun Wang
Tiejun Wang University of Twente
José A. Sobrino
José A. Sobrino University of Valencia
Tim R. McVicar
Tim R. McVicar Commonwealth Scientific and Industrial Research Organisation

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