Year |
Citation |
Score |
2020 |
Zhang Y, Fang H, Ma L, Ye Y, Wang Y. Estimation of forest leaf area index and clumping index from the Global Positioning System (GPS) satellite carrier-to-noise-density ratio (C/N0) Remote Sensing Letters. 11: 146-155. DOI: 10.1080/2150704X.2019.1692386 |
0.368 |
|
2019 |
Fang H, Baret F, Plummer S, Schaepman‐Strub G. An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications Reviews of Geophysics. 57: 739-799. DOI: 10.1029/2018Rg000608 |
0.411 |
|
2019 |
Fang H, Zhang Y, Wei S, Li W, Ye Y, Sun T, Liu W. Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China Remote Sensing of Environment. 233: 111377. DOI: 10.1016/J.Rse.2019.111377 |
0.468 |
|
2019 |
Wei S, Fang H, Schaaf CB, He L, Chen JM. Global 500 m clumping index product derived from MODIS BRDF data (2001–2017) Remote Sensing of Environment. 232: 111296. DOI: 10.1016/J.Rse.2019.111296 |
0.383 |
|
2019 |
Jiang C, Fang H. GSV: a general model for hyperspectral soil reflectance simulation International Journal of Applied Earth Observation and Geoinformation. 83: 101932. DOI: 10.1016/J.Jag.2019.101932 |
0.332 |
|
2018 |
Fang H, Liu W, Li W, Wei S. Estimation of the directional and whole apparent clumping index (ACI) from indirect optical measurements Isprs Journal of Photogrammetry and Remote Sensing. 144: 1-13. DOI: 10.1016/J.Isprsjprs.2018.06.022 |
0.366 |
|
2018 |
Fang H, Ye Y, Liu W, Wei S, Ma L. 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 Agricultural and Forest Meteorology. 48-61. DOI: 10.1016/J.Agrformet.2018.02.003 |
0.433 |
|
2017 |
Jiang C, Ryu Y, Fang H, Myneni R, Claverie M, Zhu Z. Inconsistencies of interannual variability and trends in long-term satellite leaf area index products. Global Change Biology. PMID 28614593 DOI: 10.1111/Gcb.13787 |
0.331 |
|
2017 |
Sun T, Fang H, Liu W, Ye Y. Impact of water background on canopy reflectance anisotropy of a paddy rice field from multi-angle measurements Agricultural and Forest Meteorology. 233: 143-152. DOI: 10.1016/J.Agrformet.2016.11.010 |
0.348 |
|
2016 |
Liang S, Wang H, Qu S, Feng T, Guan D, Fang H, Xu M. Socioeconomic Drivers of Greenhouse Gas Emissions in the United States (US). Environmental Science & Technology. PMID 27276120 DOI: 10.1021/Acs.Est.6B00872 |
0.386 |
|
2016 |
Wei S, Fang H. 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 Remote Sensing of Environment. 187: 476-491. DOI: 10.1016/J.Rse.2016.10.039 |
0.357 |
|
2015 |
Pisek J, Govind A, Arndt SK, Hocking D, Wardlaw TJ, Fang H, Matteucci G, Longdoz B. Intercomparison of clumping index estimates from POLDER, MODIS, and MISR satellite data over reference sites Isprs Journal of Photogrammetry and Remote Sensing. 101: 47-56. DOI: 10.1016/J.Isprsjprs.2014.11.004 |
0.502 |
|
2015 |
Fang H, Li W, Wei S, Jiang C. 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, Doi: 10.1016/j.agrformet.2014.08.005 Agricultural and Forest Meteorology. 214: 1. DOI: 10.1016/J.Agrformet.2015.07.009 |
0.387 |
|
2015 |
Li W, Fang H. Estimation of direct, diffuse, and total FPARs from Landsat surface reflectance data and ground‐based estimates over six FLUXNET sites Journal of Geophysical Research. 120: 96-112. DOI: 10.1002/2014Jg002754 |
0.401 |
|
2014 |
Wang XS, Fang HL, Chen Y, Liang SS, Zhu ZG, Zeng QY, Li J, Xu HQ, Shao B, He JC, Hou ST, Zheng RY. Idazoxan reduces blood-brain barrier damage during experimental autoimmune encephalomyelitis in mouse. European Journal of Pharmacology. 736: 70-6. PMID 24797785 DOI: 10.1016/j.ejphar.2014.04.034 |
0.308 |
|
2014 |
Jiang DS, Wang YW, Jiang J, Li SM, Liang SZ, Fang HY. MicroRNA-26a involved in Toll-like receptor 9‑mediated lung cancer growth and migration. International Journal of Molecular Medicine. 34: 307-12. PMID 24788552 DOI: 10.3892/ijmm.2014.1764 |
0.304 |
|
2014 |
Liu Q, Liang SL, Xiao Z, Fang H. Retrieval of leaf area index using temporal, spectral, and angular information from multiple satellite data Remote Sensing of Environment. 145: 25-37. DOI: 10.1016/J.Rse.2014.01.021 |
0.436 |
|
2014 |
Fang H, Li W, Wei S, Jiang C. 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. 198: 126-141. DOI: 10.1016/J.Agrformet.2014.08.005 |
0.429 |
|
2013 |
Fang H, Li W, Myneni R. The Impact of Potential Land Cover Misclassification on MODIS Leaf Area Index (LAI) Estimation: A Statistical Perspective Remote Sensing. 5: 830-844. DOI: 10.3390/Rs5020830 |
0.482 |
|
2013 |
Fang H, Jiang C, Li W, Wei S, Baret F, Chen JM, Garcia-Haro J, Liang S, Liu R, Myneni RB, Pinty B, Xiao Z, Zhu Z. Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties Journal of Geophysical Research: Biogeosciences. 118: 529-548. DOI: 10.1002/Jgrg.20051 |
0.58 |
|
2012 |
Sansone SA, Rocca-Serra P, Field D, Maguire E, Taylor C, Hofmann O, Fang H, Neumann S, Tong W, Amaral-Zettler L, Begley K, Booth T, Bougueleret L, Burns G, Chapman B, et al. Toward interoperable bioscience data. Nature Genetics. 44: 121-6. PMID 22281772 DOI: 10.1038/Ng.1054 |
0.378 |
|
2012 |
Peng D, Zhang B, Liu L, Fang H, Chen D, Hu Y, Liu L. Characteristics and drivers of global NDVI‐based FPAR from 1982 to 2006 Global Biogeochemical Cycles. 26. DOI: 10.1029/2011Gb004060 |
0.43 |
|
2012 |
Fang H, Wei S, Jiang C, Scipal K. Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method Remote Sensing of Environment. 124: 610-621. DOI: 10.1016/J.Rse.2012.06.013 |
0.473 |
|
2012 |
Fang H, Wei S, Liang S. Validation of MODIS and CYCLOPES LAI products using global field measurement data Remote Sensing of Environment. 119: 43-54. DOI: 10.1016/J.Rse.2011.12.006 |
0.543 |
|
2012 |
Zhao T, Brown DG, Fang H, Theobald DM, Liu T, Zhang T. Vegetation productivity consequences of human settlement growth in the eastern United States Landscape Ecology. 27: 1149-1165. DOI: 10.1007/S10980-012-9766-8 |
0.346 |
|
2011 |
Peng D, Zhang B, Liu L, Chen D, Fang H, Hu Y. Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI International Journal of Digital Earth. 5: 439-455. DOI: 10.1080/17538947.2011.596579 |
0.395 |
|
2011 |
Fang H, Liang S, Hoogenboom G. Integration of MODIS LAI and vegetation index products with the CSM-CERES-Maize model for corn yield estimation Journal of Remote Sensing. 32: 1039-1065. DOI: 10.1080/01431160903505310 |
0.578 |
|
2008 |
Fang H, Liang S, Hoogenboom G, Teasdale J, Cavigelli M. Corn-yield estimation through assimilation of remotely sensed data into the CSM-CERES-Maize model Journal of Remote Sensing. 29: 3011-3032. DOI: 10.1080/01431160701408386 |
0.566 |
|
2008 |
Sun W, Liang S, Xu G, Fang H, Dickinson R. Mapping plant functional types from MODIS data using multisource evidential reasoning Remote Sensing of Environment. 112: 1010-1024. DOI: 10.1016/J.Rse.2007.07.022 |
0.545 |
|
2008 |
Fang H, Liang S, Townshend JR, Dickinson RE. Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America Remote Sensing of Environment. 112: 75-93. DOI: 10.1016/J.Rse.2006.07.026 |
0.581 |
|
2007 |
Fang H, Liang S, Kim HY, Townshend JR, Schaaf CL, Strahler AH, Dickinson RE. Developing a spatially continuous 1 km surface albedo data set over North America from Terra MODIS products Journal of Geophysical Research Atmospheres. 112. DOI: 10.1029/2006Jd008377 |
0.605 |
|
2006 |
Liang S, Zheng T, Liu R, Fang H, Tsay S, Running S. Estimation of incident photosynthetically active radiation from Moderate Resolution Imaging Spectrometer data Journal of Geophysical Research. 111. DOI: 10.1029/2005Jd006730 |
0.601 |
|
2006 |
Liang S, Zhong B, Fang H. Improved estimation of aerosol optical depth from MODIS imagery over land surfaces Remote Sensing of Environment. 104: 416-425. DOI: 10.1016/J.Rse.2006.05.016 |
0.584 |
|
2005 |
Fang H, Liang S, McClaran MP, Leeuwen WJDv, Drake S, Marsh SE, Thomson AM, Izaurralde RC, Rosenberg NJ. Biophysical characterization and management effects on semiarid rangeland observed from Landsat ETM+ data Ieee Transactions On Geoscience and Remote Sensing. 43: 125-134. DOI: 10.1109/Tgrs.2004.839813 |
0.592 |
|
2005 |
Fang H, Liang S. A hybrid inversion method for mapping leaf area index from MODIS data: experiments and application to broadleaf and needleleaf canopies Remote Sensing of Environment. 94: 405-424. DOI: 10.1016/J.Rse.2004.11.001 |
0.607 |
|
2004 |
Liang S, Fang H. An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery Ieee Geoscience and Remote Sensing Letters. 1: 112-117. DOI: 10.1109/Lgrs.2004.824747 |
0.571 |
|
2004 |
Fang H, Liang S, Chen M, Walthall C, Daughtry C. Statistical comparison of MISR, ETM+ and MODIS land surface reflectance and albedo products of the BARC land validation core site, USA International Journal of Remote Sensing. 25: 409-422. DOI: 10.1080/0143116031000101666 |
0.595 |
|
2004 |
Walthall C, Dulaney W, Anderson M, Norman J, Fang H, Liang S. A comparison of empirical and neural network approaches for estimating corn and soybean leaf area index from Landsat ETM+ imagery ☆ Remote Sensing of Environment. 92: 465-474. DOI: 10.1016/J.Rse.2004.06.003 |
0.613 |
|
2003 |
Fang H, Liang S. Retrieving leaf area index with a neural network method: simulation and validation Ieee Transactions On Geoscience and Remote Sensing. 41: 2052-2062. DOI: 10.1109/Tgrs.2003.813493 |
0.579 |
|
2003 |
Liang S, Fang H, Kaul M, Niel TGV, McVicar TR, Pearlman JS, Walthall CL, Daughtry CST, Huemmrich KF. Estimation and validation of land surface broadband albedos and leaf area index from EO-1 ALI data Ieee Transactions On Geoscience and Remote Sensing. 41: 1260-1267. DOI: 10.1109/Tgrs.2003.813203 |
0.605 |
|
2003 |
Niel TGv, McVicar TR, Fang H, Liang S. Calculating environmental moisture for per-field discrimination of rice crops International Journal of Remote Sensing. 24: 885-890. DOI: 10.1080/0143116021000009921 |
0.516 |
|
2003 |
Fang H, Liang S, Kuusk A. Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model Remote Sensing of Environment. 85: 257-270. DOI: 10.1016/S0034-4257(03)00005-1 |
0.576 |
|
2003 |
Liang S, Shuey CJ, Russ AL, Fang H, Chen M, Walthall CL, Daughtry CST, Hunt R. Narrowband to broadband conversions of land surface albedo: II. Validation Remote Sensing of Environment. 84: 25-41. DOI: 10.1016/S0034-4257(02)00068-8 |
0.55 |
|
2002 |
Liang S, Fang H, Morisette JT, Chen M, Shuey CJ, Walthall CL, Daughtry CST. Atmospheric correction of Landsat ETM+ land surface imagery. II. Validation and applications Ieee Transactions On Geoscience and Remote Sensing. 40: 2736-2746. DOI: 10.1109/Tgrs.2002.807579 |
0.571 |
|
2002 |
Liang S, Fang H, Chen M, Shuey CJ, Walthall C, Daughtry C, Morisette J, Schaaf C, Strahler A. Validating MODIS land surface reflectance and albedo products: methods and preliminary results Remote Sensing of Environment. 83: 149-162. DOI: 10.1016/S0034-4257(02)00092-5 |
0.608 |
|
2001 |
Liang S, Fang H, Chen M. Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods Ieee Transactions On Geoscience and Remote Sensing. 39: 2490-2498. DOI: 10.1109/36.964986 |
0.565 |
|
2000 |
Fang H, Xu J. Land Cover and Vegetation Change in the Yellow River Delta Nature Reserve Analyzed with Landsat Thematic Mapper Data Geocarto International. 15: 43-50. DOI: 10.1080/10106040008542171 |
0.391 |
|
1998 |
Fang H. Rice crop area estimation of an administrative division in China using remote sensing data International Journal of Remote Sensing. 19: 3411-3419. |
0.309 |
|
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