H. Fang

发表

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

G. Hoogenboom, S. Liang, H. Fang, 2011 .

Retrieval of leaf area index using temporal, spectral, and angular information from multiple satellite data

Zhiqiang Xiao, Shunlin Liang, Qiang Liu, 2014 .

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

S. Liang, H. Fang, A. Kuusk, 2003 .

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

Martha C. Anderson, J. Norman, S. Liang, 2004 .

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

S. Liang, H. Fang, Shanshan Wei, 2012 .

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

J. Townshend, R. Dickinson, S. Liang, 2008 .

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

S. Liang, H. Fang, 2005 .

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

Chad J. Shuey, C. Daughtry, A. Strahler, 2002 .

Statistical comparison of MISR, ETM+ and MODIS land surface reflectance and albedo products of the BARC land validation core site, USA

C. Daughtry, S. Liang, H. Fang, 2004 .

Developing a spatially continuous 1 km surface albedo data set over North America from Terra MODIS products

J. Townshend, R. Dickinson, A. Strahler, 2007 .

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

Ronggao Liu, S. Liang, H. Fang, 2013 .

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

Frédéric Baret, Hongliang Fang, Stephen Plummer, 2019, Reviews of Geophysics.

Impact of water background on canopy reflectance anisotropy of a paddy rice field from multi-angle measurements

H. Fang, Weiwei Liu, T. Sun, 2017 .

Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China

H. Fang, Shanshan Wei, Wenjuan（李文娟） Li, 2019, Remote Sensing of Environment.

Characteristics and drivers of global NDVI‐based FPAR from 1982 to 2006

H. Fang, D. Peng, Lingling Liu, 2012 .

Estimation of direct, diffuse, and total FPARs from Landsat surface reflectance data and ground‐based estimates over six FLUXNET sites

H. Fang, Wenjuan（李文娟） Li, 2015 .

Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle

H. Fang, Shanshan Wei, 2016 .

The evolution analysis of flood and drought in Huai River Basin of China based on monthly precipitation characteristics

H. Fang, D. Yan, Gang Wang, 2014, Natural Hazards.

Georelational Analysis of Soil Type, Soil Salt Content, Landform, and Land Use in the Yellow River Delta, China

H. Fang, M. Kearney, Gaohuan Liu, 2005, Environmental management.

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

H. Fang, Bingfang Wu, H. Liu, 1998 .

Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP

H. Fang, Jane Liu, G. Mo, 2020, Journal of Geophysical Research: Biogeosciences.

Improved estimation of aerosol optical depth from MODIS imagery over land surfaces

Hongliang Fang, Shunlin Liang, Bo Zhong, 2006 .

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

Hongliang Fang, Zaichun Zhu, Youngryel Ryu, 2017, Global change biology.

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

Hongliang Fang, Shunlin Liang, Gerrit Hoogenboom, 2008 .

Atn 10 spheric Correction of Lal 1 dsat ETM + Land Surface Imagery : II . Validation and Applications

Chad J. Shuey, C. Daughtry, S. Liang, 2011 .

Critical analysis of methods to estimate the fraction of absorbed or intercepted photosynthetically active radiation from ground measurements: Application to rice crops

H. Fang, F. Baret, M. Weiss, 2021, Agricultural and Forest Meteorology.

Assimilation of Remote Sensing Data and Crop Simulation Models for Agricultural Study: Recent Advances and Future Directions

G. Hoogenboom, S. Liang, H. Fang, 2013 .

Global 500 m clumping index product derived from MODIS BRDF data (2001–2017)

H. Fang, Shanshan Wei, C. Schaaf, 2019, Remote Sensing of Environment.

Retrieval of forest vertical leaf area index and clumping index through field measurement and remote sensing techniques: A review

H. Fang, 2020, Chinese Science Bulletin.

Comprehensive evaluation of global CI, FVC, and LAI products and their relationships using high-resolution reference data

H. Fang, Yinghui Zhang, Sijia Li, 2022, Science of Remote Sensing.

Real-Time Software for the Efficient Generation of the Clumping Index and Its Application Based on the Google Earth Engine

H. Fang, Yu Li, Yu Li, 2022, Remote. Sens..

Retrieval and Validation of Vertical Forest Lai Profile from Airborne Lidar Data

H. Fang, Yinghui Zhang, Sijia Li, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Estimation of Vegetation Leaf-Area-Index Dynamics from Multiple Satellite Products through Deep-Learning Method

H. Fang, Ainong Li, Xinyao Xie, 2022, Remote. Sens..

Bi-LSTM Model for Time Series Leaf Area Index Estimation Using Multiple Satellite Products

H. Fang, Ainong Li, Xinyao Xie, 2022, IEEE Geoscience and Remote Sensing Letters.

Real-Time Software for the Efﬁcient Generation of the Clumping Index and Its Application Based on the Google Earth Engine

H. Fang, Yu Li, 2022 .

Estimation of forest leaf area index and clumping index from the Global Positioning System (GPS) satellite carrier-to-noise-density ratio (C/N0)

H. Fang, Li Ma, Y. Ye, 2020 .

Calculating environmental moisture for per-field discrimination of rice crops

S. Liang, H. Fang, S. Liang, 2003 .

Determination of the Leaf Inclination Angle (LIA) through Field and Remote Sensing Methods: Current Status and Future Prospects

H. Fang, Yinghui Zhang, Sijia Li, 2023, Remote. Sens..

Canopy clumping index (CI): A review of methods, characteristics, and applications

H. Fang, 2021 .

Author ' s personal copy Validation of MODIS and CYCLOPES LAI products using global fi eld measurement data

Hongliang Fang, Shunlin Liang, Shanshan Wei, 2012 .

Alternative approaches for estimating leaf area index (LAI) from remotely sensed satellite and aircraft imagery

Yakov A. Pachepsky, Hongliang Fang, Charles L. Walthall, 2004, SPIE Optics + Photonics.

An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery

Hongliang Fang, Shunlin Liang, S. Liang, 2004, IEEE Geoscience and Remote Sensing Letters.

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

Hongliang Fang, Shunlin Liang, S. Liang, 2003, IEEE Trans. Geosci. Remote. Sens..

Leaf Area Index Models

S. Liang, H. Fang, 2008 .

Evaluation of Clumping Effects on the Estimation of Global Terrestrial Evapotranspiration

Shaoqiang Wang, Yang Liu, Fei Jiang, 2021, Remote. Sens..

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

Klaus Scipal, Hongliang Fang, Chongya Jiang, 2012 .

Spatio-Temporal Characteristics and Driving Factors of the Foliage Clumping Index in the Sanjiang Plain from 2001 to 2015

Kehong Hu, Zhen Zhang, Hongliang Fang, 2021, Remote. Sens..

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

Hongliang Fang, Shunlin Liang, Mingzhen Chen, 2001, IEEE Trans. Geosci. Remote. Sens..

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

Hongliang Fang, Shunlin Liang, Mingzhen Chen, 2001 .

Comparison of different methods for corn LAI estimation over northeastern China

Fei Yang, Jiulin Sun, Hongliang Fang, 2012, Int. J. Appl. Earth Obs. Geoinformation.

Terrestrial Hydrological Data from NASA's Hydrology Data and Information Services Center (HDISC): Products, Services, and Applications

D. Mocko, H. Fang, M. Rodell, 2010 .

Global Land Data Assimilation System (GLDAS) Products, Services and Application from NASA Hydrology Data and Information Services Center (HDISC)

Hongliang Fang, Bruce Vollmer, William Teng, 2009 .

Estimation of LAI with the LiDAR Technology: A Review

Yao Wang, Hongliang Fang, H. Fang, 2020, Remote. Sens..

Semantic Web Data Discovery of Earth Science Data at NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

H. Fang, W. Teng, C. Lynnes, 2008 .

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, Chongya Jiang, Shanshan Wei, 2014 .

Biophysical characterization and management effects on semiarid rangeland observed from Landsat ETM+ data

Stuart E. Marsh, Hongliang Fang, Sam Drake, 2005, IEEE Transactions on Geoscience and Remote Sensing.

Deriving land surface biophysical parameters from satellite data for soil carbon sequestration

Stuart E. Marsh, Hongliang Fang, Sam Drake, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

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

Craig S. T. Daughtry, Hongliang Fang, Charles L. Walthall, 2002, IEEE Trans. Geosci. Remote. Sens..

New insights of global vegetation structural properties through an analysis of canopy clumping index, fractional vegetation cover, and leaf area index

Yinghui Zhang, Hongliang Fang, Yao Wang, 2021 .

The Relationship Between Canopy Clumping Index (CI), Fractional Vegetation Cover (FVC), and LEAF Area Index (LAI): An Analysis of Global Satellite Products

H. Fang, Shanshan Wei, Yinghui Zhang, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Estimation of the directional and whole apparent clumping index (ACI) from indirect optical measurements

Hongliang Fang, Wenjuan Li, Shanshan Wei, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Continuous estimation of canopy leaf area index (LAI) and clumping index over broadleaf crop fields: An investigation of the PASTIS-57 instrument and smartphone applications

Hongliang Fang, Yongchang Ye, Shanshan Wei, 2018 .

Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites

Hongliang Fang, Jan Pisek, Tim Wardlaw, 2015 .

Estimation and validation of land surface broadband albedos and leaf area index from EO-1 ALI data

Craig S. T. Daughtry, Hongliang Fang, Charles L. Walthall, 2003, IEEE Trans. Geosci. Remote. Sens..

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

Hongliang Fang, Shunlin Liang, Steven W. Running, 2006 .

GSV: a general model for hyperspectral soil reflectance simulation

Hongliang Fang, Chongya Jiang, H. Fang, 2019, Int. J. Appl. Earth Obs. Geoinformation.

A Bibliometric Visualization Review of the MODIS LAI/FPAR Products from 1995 to 2020

M. Rautiainen, H. Fang, Y. Knyazikhin, 2021 .

The Impact of Potential Land Cover Misclassification on MODIS Leaf Area Index (LAI) Estimation: A Statistical Perspective

Ranga B. Myneni, Hongliang Fang, Wenjuan Li, 2013, Remote. Sens..

Characterization of the layered SIF distribution through hyperspectral observation and SCOPE modeling for a subtropical evergreen forest

H. Fang, Shaoqiang Wang, Bin Chen, 2023, ISPRS Journal of Photogrammetry and Remote Sensing.

Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI

Bing Zhang, Yong Hu, Liangyun Liu, 2012, Int. J. Digit. Earth.

Estimation of daily FAPAR from MODIS instantaneous observations at forest sites

H. Fang, Guofeng Wu, Jingzhe Wang, 2023, Agricultural and Forest Meteorology.

Variation of intra-daily instantaneous FAPAR estimated from the geostationary Himawari-8 AHI data

H. Fang, Yinghui Zhang, Sijia Li, 2021 .

Estimating Leaf Area Index by Fusing MODIS and MISR Data

Jindi Wang, Hongliang Fang, Shunlin Liang, 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

Photosynthetically Active Radiation and Foliage Clumping Improve Satellite-Based NIRv Estimates of Gross Primary Production

H. Fang, I. Filella, A. Verger, 2023, Remote. Sens..

Derivation of rice clumping index from time series MISR and MODIS directional reflectance data

Hongliang Fang, Shanshan Wei, H. Fang, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Land surface geo/biophysical variable estimation from EO-1 data and validation

C. Daughtry, S. Liang, H. Fang, 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

Estimation of crop yield at the regional scale from MODIS observations

Hongliang Fang, Shunlin Liang, Gerrit Hoogenboom, 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site

H. Fang, Y. Pang, Yinghui Zhang, 2023, GIScience & Remote Sensing.

Mapping plant functional types from MODIS data using multisource evidential reasoning

Hongliang Fang, Shunlin Liang, Gang Xu, 2008 .

Corrigendum to “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” Agricultural and Forest Meteorology, Volume 198–199(2014), 126–41

H. Fang, Shanshan Wei, Wenjuan（李文娟） Li, 2015 .

Long-Term Variation of Global GEOV2 and MODIS Leaf Area Index (LAI) and Their Uncertainties: An Insight into the Product Stabilities

H. Fang, Yinghui Zhang, Sijia Li, 2021, Journal of Remote Sensing.

NASA Satellite and Model Land Data Services: Data Access Tutorial

Hongliang Fang, Gregory Leptoukh, Suhung Shen, 2013 .