World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
7729
World Ranking
7632
National Ranking
726

Overview

Hongliang Fang is a researcher affiliated with the Chinese Academy of Sciences in China. Their primary field of study is Environmental Science, with a focused body of work in Ecology, Global and Planetary Change, Environmental Engineering, Plant Science, and Nature and Landscape Conservation.

The research of Hongliang Fang spans various topics within environmental science, emphasizing Remote Sensing in Agriculture, Remote Sensing and LiDAR Applications, Plant Water Relations and Carbon Dynamics, Leaf Properties and Growth Measurement, Land Use and Ecosystem Services, Forest Ecology and Management, and Urban Heat Island Mitigation.

Frequent co-authors collaborating with Hongliang Fang include:

  • Yao Wang
  • Sijia Li
  • Yinghui Zhang
  • Yu Li
  • Tian Ma

The main publication venues where Hongliang Fang's work appears most frequently are:

  • Remote Sensing
  • Agricultural and Forest Meteorology
  • Science of Remote Sensing
  • Remote Sensing of Environment
  • SSRN Electronic Journal

Representative recent papers authored or co-authored by Hongliang Fang include:

  • "Estimation of LAI with the LiDAR Technology: A Review," 2020, Remote Sensing
  • "Canopy clumping index (CI): A review of methods, characteristics, and applications," 2021, Agricultural and Forest Meteorology
  • "A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020," 2021, Journal of Remote Sensing
  • "Critical analysis of methods to estimate the fraction of absorbed or intercepted photosynthetically active radiation from ground measurements: Application to rice crops," 2020, Agricultural and Forest Meteorology
  • "Vegetation coverage of desert ecosystems in the Qinghai-Tibet Plateau is underestimated," 2022, Ecological Indicators

Best Publications

  • An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications

    Hongliang Fang;Frédéric Baret;Stephen Plummer;Gabriela Schaepman-Strub

  • Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods

    S. Liang;H. Fang;M. Chen

  • Validating MODIS land surface reflectance and albedo products: methods and preliminary results

    Shunlin Liang;Hongliang Fang;Mingzhen Chen;Chad J Shuey

  • Narrowband to broadband conversions of land surface albedo: II. Validation

    Shunlin Liang;Chad J Shuey;Andrew L Russ;Hongliang Fang

  • Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model

    Hongliang Fang;Shunlin Liang;Andres Kuusk

  • Validation of MODIS and CYCLOPES LAI products using global field measurement data

    Hongliang Fang;Shanshan Wei;Shanshan Wei;Shunlin Liang;Shunlin Liang

  • Estimation of incident photosynthetically active radiation from Moderate Resolution Imaging Spectrometer data

    Shunlin Liang;Tao Zheng;Ronggao Liu;Hongliang Fang

  • A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery ☆

    Charles Walthall;Wayne Dulaney;Martha Anderson;John Norman

  • Inconsistencies of interannual variability and trends in long-term satellite leaf area index products

    Chongya Jiang;Youngryel Ryu;Hongliang Fang;Ranga Myneni

  • Corn-yield estimation through assimilation of remotely sensed data into the CSM-CERES-Maize model

    Hongliang Fang;Shunlin Liang;Gerrit Hoogenboom;John Teasdale

  • Integration of MODIS LAI and vegetation index products with the CSM-CERES-Maize model for corn yield estimation

    Hongliang Fang;Shunlin Liang;Gerrit Hoogenboom

  • Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties

    Hongliang Fang;Chongya Jiang;Wenjuan Li;Shanshan Wei

  • A hybrid inversion method for mapping leaf area index from MODIS data: experiments and application to broadleaf and needleleaf canopies

    Hongliang Fang;Shunlin Liang

  • Retrieving leaf area index with a neural network method: simulation and validation

    Hongliang Fang;Shunlin Liang

  • Atmospheric correction of Landsat ETM+ land surface imagery. II. Validation and applications

    Shunlin Liang;Hongliang Fang;J.T. Morisette;Mingzhen Chen

  • Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America

    Hongliang Fang;Shunlin Liang;John R. Townshend;Robert Earl Dickinson

  • Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method

    Hongliang Fang;Shanshan Wei;Shanshan Wei;Chongya Jiang;Klaus Scipal

  • Atmospheric correction of Landsat ETM+ land surface imagery: Part I: Methods

    Shunlin Liang;Hongliang Fang;Mingzhen Chen

  • Seasonal variation of leaf area index (LAI) over paddy rice fields in NE China: Intercomparison of destructive sampling, LAI-2200, digital hemispherical photography (DHP), and AccuPAR methods

    Hongliang Fang;Wenjuan(李文娟) Li;Shanshan Wei;Chongya Jiang

  • Using NOAA AVHRR and landsat TM to estimate rice area year-by-year

    Hongliang Fang;Bingfang Wu;Haiyan Liu;Xuan Huang

Frequent Co-Authors

Shunlin Liang
Shunlin Liang University of Hong Kong
Craig S. T. Daughtry
Craig S. T. Daughtry Agricultural Research Service
Jing M. Chen
Jing M. Chen University of Toronto
Frédéric Baret
Frédéric Baret INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Robert E. Dickinson
Robert E. Dickinson The University of Texas at Austin
Ranga B. Myneni
Ranga B. Myneni Boston University
Gerrit Hoogenboom
Gerrit Hoogenboom University of Florida
Bernard Longdoz
Bernard Longdoz University of Liège
Stefan K. Arndt
Stefan K. Arndt University of Melbourne
Youngryel Ryu
Youngryel Ryu Seoul National University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those passionate about Environmental Sciences, exploring related online degrees can broaden career opportunities and deepen expertise. A geology online degree offers essential knowledge about earth processes, critical for roles in environmental consulting and natural resource management.

Specializing in spatial data through a best GIS graduate programs prepares students for careers in mapping, environmental planning, and disaster management—key areas within environmental sciences. GIS skills are increasingly valuable for analyzing ecological patterns and land use.

For those interested in public sector leadership or policy development, pursuing a one year MPA program can provide streamlined training in public administration, fostering effective environmental governance and sustainable urban development.

Additionally, an online bachelors in sociology helps address the social dimensions of environmental issues, emphasizing community engagement and social justice—important factors in crafting inclusive environmental solutions.

Best Scientists Citing Hongliang Fang

Trending Scientists

Recently Published Articles