Addink, E.A.[Elisabeth A.],
de Jong, S.M.[Steven M.],
Pebesma, E.J.[Edzer J.],
The Importance of Scale in Object-based Mapping of Vegetation
Parameters with Hyperspectral Imagery,
PhEngRS(73), No. 8, August 2007, pp. 905-912.
WWW Link.
0709
An investigation of optimal object definition for prediction of
biomass and leaf area index.
BibRef
Richter, K.,
Hank, T.,
Vuolo, F.,
Mauser, W.,
d'Urso, G.,
Optimal Exploitation of the Sentinel-2 Spectral Capabilities for Crop
Leaf Area Index Mapping,
RS(4), No. 3, March 2012, pp. 561-582;.
DOI Link
1204
BibRef
Vuolo, F.,
Neugebauer, N.,
Bolognesi, S.,
Atzberger, C.,
d'Urso, G.,
Estimation of Leaf Area Index Using DEIMOS-1 Data: Application and
Transferability of a Semi-Empirical Relationship between two
Agricultural Areas,
RS(5), No. 3, March 2013, pp. 1274-1291.
DOI Link
1304
BibRef
Gonsamo, A.[Alemu],
Pellikka, P.[Petri],
The sensitivity based estimation of leaf area index from spectral
vegetation indices,
PandRS(70), No. 1, June 2012, pp. 15-25.
Elsevier DOI
1206
Leaf area index; Sensitivity function; Spectral vegetation index
BibRef
Capodici, F.,
d'Urso, G.,
Maltese, A.,
Investigating the Relationship between X-Band SAR Data from
COSMO-SkyMed Satellite and NDVI for LAI Detection,
RS(5), No. 3, March 2013, pp. 1389-1404.
DOI Link
1304
BibRef
Liu, Y.[Yang],
Liu, R.G.[Rong-Gao],
Chen, J.M.,
Ju, W.M.[Wei-Min],
Expanding MISR LAI Products to High Temporal Resolution With MODIS
Observations,
GeoRS(50), No. 10, October 2012, pp. 3915-3927.
IEEE DOI
1210
BibRef
Fang, H.,
Li, W.,
Myneni, R.,
The Impact of Potential Land Cover Misclassification on MODIS Leaf Area
Index (LAI) Estimation: A Statistical Perspective,
RS(5), No. 2, February 2013, pp. 830-844.
DOI Link
1303
BibRef
Leonenko, G.,
Los, S.,
North, P.,
Statistical Distances and Their Applications to Biophysical Parameter
Estimation: Information Measures, M-Estimates, and Minimum Contrast
Methods,
RS(5), No. 3, March 2013, pp. 1355-1388.
DOI Link
1304
LAI.
BibRef
Li, X.C.[Xin-Chuan],
Zhang, Y.J.[You-Jing],
Bao, Y.S.[Yan-Song],
Luo, J.[Juhua],
Jin, X.L.[Xiu-Liang],
Xu, X.G.[Xin-Gang],
Song, X.Y.[Xiao-Yu],
Yang, G.J.[Gui-Jun],
Exploring the Best Hyperspectral Features for LAI Estimation Using
Partial Least Squares Regression,
RS(6), No. 7, 2014, pp. 6221-6241.
DOI Link
1408
BibRef
Ponzoni, F.J.[Flávio Jorge],
da Silva, C.B.[Clayton Borges],
dos Santos, S.B.[Sandra Benfica],
Montanher, O.C.[Otávio Cristiano],
dos Santos, T.B.[Thiago Batista],
Local Illumination Influence on Vegetation Indices and Plant Area
Index (PAI) Relationships,
RS(6), No. 7, 2014, pp. 6266-6282.
DOI Link
1408
BibRef
Qu, Y.H.[Yong-Hua],
Han, W.C.[Wen-Chao],
Ma, M.G.[Ming-Guo],
Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by
Combining MODIS LAI and ASTER Reflectance Data,
RS(7), No. 1, 2014, pp. 195-210.
DOI Link
1502
BibRef
Cheng, T.[Tao],
Rivard, B.[Benoit],
Sánchez-Azofeifa, G.A.[G. Arturo],
Féret, J.B.[Jean-Baptiste],
Jacquemoud, S.[Stéphane],
Ustin, S.L.[Susan L.],
Deriving leaf mass per area (LMA) from foliar reflectance across a
variety of plant species using continuous wavelet analysis,
PandRS(87), No. 1, 2014, pp. 28-38.
Elsevier DOI
1402
Leaf mass per area
BibRef
Xiao, Z.Q.[Zhi-Qiang],
Liang, S.L.[Shun-Lin],
Wang, J.[Jindi],
Chen, P.[Ping],
Yin, X.J.[Xue-Jun],
Zhang, L.Q.[Li-Qiang],
Song, J.L.[Jin-Ling],
Use of General Regression Neural Networks for Generating the GLASS
Leaf Area Index Product From Time-Series MODIS Surface Reflectance,
GeoRS(52), No. 1, January 2014, pp. 209-223.
IEEE DOI
1402
remote sensing
BibRef
Jiang, J.Y.[Jing-Yi],
Xiao, Z.Q.[Zhi-Qiang],
Wang, J.[Jindi],
Song, J.L.[Jin-Ling],
Sequential Method with Incremental Analysis Update to Retrieve Leaf
Area Index from Time Series MODIS Reflectance Data,
RS(6), No. 10, 2014, pp. 9194-9212.
DOI Link
1411
BibRef
Jiang, J.Y.[Jing-Yi],
Xiao, Z.Q.[Zhi-Qiang],
Wang, J.[Jindi],
Song, J.L.[Jin-Ling],
Multiscale Estimation of Leaf Area Index from Satellite Observations
Based on an Ensemble Multiscale Filter,
RS(8), No. 3, 2016, pp. 229.
DOI Link
1604
BibRef
Zhan, X.C.[Xu-Chen],
Xiao, Z.Q.[Zhi-Qiang],
Jiang, J.Y.[Jing-Yi],
Shi, H.Y.[Han-Yu],
A Data Assimilation Method for Simultaneously Estimating the
Multiscale Leaf Area Index From Time-Series Multi-Resolution
Satellite Observations,
GeoRS(57), No. 11, November 2019, pp. 9344-9361.
IEEE DOI
1911
Spatial resolution, Satellites, MODIS, Land surface, Remote sensing,
Vegetation mapping, Predictive models,
Thematic Mapper or Enhanced Thematic Mapper Plus (TM/ETM+)
BibRef
Jin, H.[Huaan],
Li, A.[Ainong],
Xu, W.X.[Wei-Xing],
Xiao, Z.Q.[Zhi-Qiang],
Jiang, J.Y.[Jing-Yi],
Xue, H.Z.[Hua-Zhu],
Evaluation of topographic effects on multiscale leaf area index
estimation using remotely sensed observations from multiple sensors,
PandRS(154), 2019, pp. 176-188.
Elsevier DOI
1907
Leaf area index, MODIS, Landsat, Multiscale, Mountainous areas
BibRef
Jin, H.,
Li, A.,
Yin, G.,
Xiao, Z.,
Bian, J.,
Nan, X.,
Jing, J.,
A Multiscale Assimilation Approach to Improve Fine-Resolution Leaf
Area Index Dynamics,
GeoRS(57), No. 10, October 2019, pp. 8153-8168.
IEEE DOI
1910
data assimilation, geophysical image processing, image fusion,
Kalman filters, vegetation, vegetation mapping,
multiscale
BibRef
Jin, H.[Huaan],
Xu, W.X.[Wei-Xing],
Li, A.[Ainong],
Xie, X.Y.[Xin-Yao],
Zhang, Z.J.[Zheng-Jian],
Xia, H.M.[Hao-Ming],
Spatially and Temporally Continuous Leaf Area Index Mapping for Crops
through Assimilation of Multi-resolution Satellite Data,
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link
1911
BibRef
Xiao, Z.Q.[Zhi-Qiang],
Liang, S.L.[Shun-Lin],
Wang, J.[Jindi],
Xiang, Y.,
Zhao, X.,
Song, J.L.[Jin-Ling],
Long-Time-Series Global Land Surface Satellite Leaf Area Index
Product Derived From MODIS and AVHRR Surface Reflectance,
GeoRS(54), No. 9, September 2016, pp. 5301-5318.
IEEE DOI
1609
vegetation
BibRef
Zhou, H.M.[Hong-Min],
Wang, J.[Jindi],
Liang, S.L.[Shun-Lin],
Xiao, Z.Q.[Zhi-Qiang],
Extended Data-Based Mechanistic Method for Improving Leaf Area Index
Time Series Estimation with Satellite Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Song, Y.[Yu],
Glasbey, C.A.,
Polder, G.,
van der Heijden, G.W.A.M.,
Non-destructive automatic leaf area measurements by combining stereo
and time-of-flight images,
IET-CV(8), No. 5, October 2014, pp. 391-403.
DOI Link
1412
greenhouses
BibRef
Yin, G.F.[Gao-Fei],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Fan, W.L.[Wei-Liang],
Xu, B.D.[Bao-Dong],
Zeng, Y.[Yelu],
Zhao, J.[Jing],
Regional Leaf Area Index Retrieval Based on Remote Sensing:
The Role of Radiative Transfer Model Selection,
RS(7), No. 4, 2015, pp. 4604-4625.
DOI Link
1505
BibRef
Yin, G.F.[Gao-Fei],
Verger, A.[Aleixandre],
Qu, Y.H.[Yong-Hua],
Zhao, W.[Wei],
Xu, B.D.[Bao-Dong],
Zeng, Y.[Yelu],
Liu, K.[Ke],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Retrieval of High Spatiotemporal Resolution Leaf Area Index with
Gaussian Processes, Wireless Sensor Network, and Satellite Data
Fusion,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Zhao, J.[Jing],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Fan, W.J.[Wen-Jie],
Zhong, B.[Bo],
Wu, S.L.[Shan-Long],
Yang, L.[Le],
Zeng, Y.[Yelu],
Xu, B.D.[Bao-Dong],
Yin, G.F.[Gao-Fei],
Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in
the Heihe River Basin, China,
RS(7), No. 6, 2015, pp. 6862.
DOI Link
1507
BibRef
Zeng, Y.[Yelu],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Huete, A.R.,
Yin, G.F.[Gao-Fei],
Xu, B.D.[Bao-Dong],
Fan, W.L.[Wei-Liang],
Zhao, J.[Jing],
Yan, K.,
Mu, X.,
A Radiative Transfer Model for Heterogeneous Agro-Forestry Scenarios,
GeoRS(54), No. 8, August 2016, pp. 4613-4628.
IEEE DOI
1608
vegetation
BibRef
Iiames, J.S.[John S.],
Congalton, R.G.[Russell G.],
Lewis, T.E.[Timothy E.],
Pilant, A.N.[Andrew N.],
Uncertainty Analysis in the Creation of a Fine-Resolution Leaf Area
Index (LAI) Reference Map for Validation of Moderate Resolution LAI
Products,
RS(7), No. 2, 2015, pp. 1397-1421.
DOI Link
1503
BibRef
Gu, J.Y.[Jian-Yu],
Congalton, R.G.[Russell G.],
Analysis of the Impact of Positional Accuracy When Using a Single
Pixel for Thematic Accuracy Assessment,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Zeng, Y.[Yelu],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Hu, R.H.[Rong-Hai],
Mu, X.[Xihan],
Fan, W.L.[Wei-Liang],
Xu, B.D.[Bao-Dong],
Yin, G.F.[Gao-Fei],
Wu, S.B.[Sheng-Biao],
Extracting Leaf Area Index by Sunlit Foliage Component from
Downward-Looking Digital Photography under Clear-Sky Conditions,
RS(7), No. 10, 2015, pp. 13410.
DOI Link
1511
BibRef
Shi, Y.C.[Yue-Chan],
Wang, J.[Jindi],
Qin, J.[Jun],
Qu, Y.H.[Yong-Hua],
An Upscaling Algorithm to Obtain the Representative Ground Truth of
LAI Time Series in Heterogeneous Land Surface,
RS(7), No. 10, 2015, pp. 12887.
DOI Link
1511
BibRef
Wu, L.[Ling],
Qin, Q.M.[Qi-Ming],
Liu, X.N.[Xiang-Nan],
Ren, H.Z.[Hua-Zhong],
Wang, J.H.[Jian-Hua],
Zheng, X.[Xiaopo],
Ye, X.[Xin],
Sun, Y.[Yuejun],
Spatial Up-Scaling Correction for Leaf Area Index Based on the
Fractal Theory,
RS(8), No. 3, 2016, pp. 197.
DOI Link
1604
BibRef
Zhao, Y.J.[Yu-Jin],
Zeng, Y.[Yuan],
Zhao, D.[Dan],
Wu, B.F.[Bing-Fang],
Zhao, Q.J.[Qian-Jun],
The Optimal Leaf Biochemical Selection for Mapping Species Diversity
Based on Imaging Spectroscopy,
RS(8), No. 3, 2016, pp. 216.
DOI Link
1604
BibRef
Kaasalainen, S.[Sanna],
Nevalainen, O.[Olli],
Hakala, T.[Teemu],
Anttila, K.[Kati],
Incidence Angle Dependency of Leaf Vegetation Indices from
Hyperspectral Lidar Measurements,
PFG(2016), No. 2, 2016, pp. 75-84.
DOI Link
1606
BibRef
Kang, Y.[Yanghui],
Özdogan, M.[Mutlu],
Zipper, S.C.[Samuel C.],
Román, M.O.[Miguel O.],
Walker, J.[Jeff],
Hong, S.Y.[Suk Young],
Marshall, M.[Michael],
Magliulo, V.[Vincenzo],
Moreno, J.[José],
Alonso, L.[Luis],
Miyata, A.[Akira],
Kimball, B.[Bruce],
Loheide, S.P.[Steven P.],
How Universal Is the Relationship between Remotely Sensed Vegetation
Indices and Crop Leaf Area Index? A Global Assessment,
RS(8), No. 7, 2016, pp. 597.
DOI Link
1608
BibRef
Fieber, K.D.,
Davenport, I.J.,
Ferryman, J.M.,
Gurney, R.J.,
Becerra, V.M.,
Walker, J.P.,
Hacker, J.M.,
CHP Toolkit: Case Study of LAIe Sensitivity to Discontinuity of
Canopy Cover in Fruit Plantations,
GeoRS(54), No. 9, September 2016, pp. 5071-5080.
IEEE DOI
1609
geophysical techniques
BibRef
Yin, G.F.[Gao-Fei],
Li, A.[Ainong],
Zeng, Y.[Yelu],
Xu, B.D.[Bao-Dong],
Zhao, W.[Wei],
Nan, X.[Xi],
Jin, H.[Huaan],
Bian, J.H.[Jin-Hu],
A Cost-Constrained Sampling Strategy in Support of LAI Product
Validation in Mountainous Areas,
RS(8), No. 9, 2016, pp. 704.
DOI Link
1610
BibRef
Neinavaz, E.[Elnaz],
Skidmore, A.K.[Andrew K.],
Darvishzadeh, R.[Roshanak],
Groen, T.A.[Thomas A.],
Retrieval of leaf area index in different plant species using thermal
hyperspectral data,
PandRS(119), No. 1, 2016, pp. 390-401.
Elsevier DOI
1610
BibRef
Earlier:
Leaf Area Index Retrieved From Thermal Hyperspectral Data,
ISPRS16(B7: 99-105).
DOI Link
1610
Thermal infrared
BibRef
Neinavaz, E.[Elnaz],
Darvishzadeh, R.[Roshanak],
Skidmore, A.K.[Andrew K.],
Abdullah, H.[Haidi],
Integration of Landsat-8 Thermal and Visible-Short Wave Infrared Data
for Improving Prediction Accuracy of Forest Leaf Area Index,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Zhang, S.[Su],
Liu, L.Y.[Liang-Yun],
Liu, X.J.[Xin-Jie],
Liu, Z.F.[Ze-Fei],
Development of a New BRDF-Resistant Vegetation Index for Improving
the Estimation of Leaf Area Index,
RS(8), No. 11, 2016, pp. 947.
DOI Link
1612
BibRef
Zheng, G.,
Ma, L.,
Eitel, J.U.H.,
He, W.,
Magney, T.S.,
Moskal, L.M.,
Li, M.,
Retrieving Directional Gap Fraction, Extinction Coefficient, and
Effective Leaf Area Index by Incorporating Scan Angle Information
From Discrete Aerial Lidar Data,
GeoRS(55), No. 1, January 2017, pp. 577-590.
IEEE DOI
1701
remote sensing by laser beam
BibRef
Shi, Y.C.[Yue-Chan],
Wang, J.[Jindi],
Wang, J.[Jian],
Qu, Y.H.[Yong-Hua],
A Prior Knowledge-Based Method to Derivate High-Resolution Leaf Area
Index Maps with Limited Field Measurements,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link
1702
BibRef
Sun, L.[Liya],
Schulz, K.[Karsten],
Spatio-Temporal LAI Modelling by Integrating Climate and MODIS LAI
Data in a Mesoscale Catchment,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link
1703
BibRef
Ahmadian, N.[Nima],
Borg, E.[Erik],
Roth, A.[Achim],
Zölitz, R.[Reinhard],
Estimating the Leaf Area Index of Agricultural Crops using
multi-temporal dual-polarimetric TerraSAR-X Data:
A case study in North-Eastern Germany,
PFG(2016), No. 5-6, 2016, pp. 301-317.
DOI Link
1703
BibRef
Kandasamy, S.,
Verger, A.,
Baret, F.,
Assessment of Three Methods for Near Real-Time Estimation of Leaf
Area Index From AVHRR Data,
GeoRS(55), No. 3, March 2017, pp. 1489-1497.
IEEE DOI
1703
Biological system modeling
BibRef
Li, X.J.[Xue-Jian],
Mao, F.J.[Fang-Jie],
Du, H.Q.[Hua-Qiang],
Zhou, G.[Guomo],
Xu, X.J.[Xiao-Jun],
Han, N.[Ning],
Sun, S.B.[Shao-Bo],
Gao, G.L.[Guo-Long],
Chen, L.[Liang],
Assimilating leaf area index of three typical types of subtropical
forest in China from MODIS time series data based on the integrated
ensemble Kalman filter and PROSAIL model,
PandRS(126), No. 1, 2017, pp. 68-78.
Elsevier DOI
1704
Subtropical forest
BibRef
Chen, C.[Chi],
Knyazikhin, Y.[Yuri],
Park, T.[Taejin],
Yan, K.[Kai],
Lyapustin, A.[Alexei],
Wang, Y.J.[Yu-Jie],
Yang, B.[Bin],
Myneni, R.B.[Ranga B.],
Prototyping of LAI and FPAR Retrievals from MODIS Multi-Angle
Implementation of Atmospheric Correction (MAIAC) Data,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Wang, B.J.[Blowman J.],
Ju, W.M.[Wei-Min],
Limitations and Improvements of the Leaf Optical Properties Model
Leaf Incorporating Biochemistry Exhibiting Reflectance and
Transmittance Yields (LIBERTY),
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Liu, L.Y.[Liang-Yun],
Song, B.[Bowen],
Zhang, S.[Su],
Liu, X.J.[Xin-Jie],
A Novel Principal Component Analysis Method for the Reconstruction of
Leaf Reflectance Spectra and Retrieval of Leaf Biochemical Contents,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Li, S.H.[Shi-Hua],
Dai, L.Y.[Lei-Yu],
Wang, H.S.[Hong-Shu],
Wang, Y.[Yong],
He, Z.[Ze],
Lin, S.[Sen],
Estimating Leaf Area Density of Individual Trees Using the Point
Cloud Segmentation of Terrestrial LiDAR Data and a Voxel-Based Model,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Houborg, R.[Rasmus],
McCabe, M.F.[Matthew F.],
A hybrid training approach for leaf area index estimation via Cubist
and random forests machine-learning,
PandRS(135), No. Supplement C, 2018, pp. 173-188.
Elsevier DOI
1712
Machine-learning, LAI, Cubist, Random forests, Hybrid, REGFLEC
BibRef
Davoodi, E.[Elham],
Ghasemieh, H.[Hoda],
Batelaan, O.[Okke],
Abdollahi, K.[Khodayar],
Spatial-Temporal Simulation of LAI on Basis of Rainfall and Growing
Degree Days,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Hovi, A.[Aarne],
Forsström, P.[Petri],
Mőttus, M.[Matti],
Rautiainen, M.[Miina],
Evaluation of Accuracy and Practical Applicability of Methods for
Measuring Leaf Reflectance and Transmittance Spectra,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Li, X.[Xinlu],
Lu, H.[Hui],
Yu, L.[Le],
Yang, K.[Kun],
Comparison of the Spatial Characteristics of Four Remotely Sensed
Leaf Area Index Products over China: Direct Validation and Relative
Uncertainties,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
Melnikova, I.[Irina],
Awaya, Y.[Yoshio],
Saitoh, T.M.[Taku M.],
Muraoka, H.[Hiroyuki],
Sasai, T.[Takahiro],
Estimation of Leaf Area Index in a Mountain Forest of Central Japan
with a 30-m Spatial Resolution Based on Landsat Operational Land
Imager Imagery: An Application of a Simple Model for Seasonal
Monitoring,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Jiang, J.[Jiale],
Ji, X.S.[Xu-Sheng],
Yao, X.[Xia],
Tian, Y.C.[Yong-Chao],
Zhu, Y.[Yan],
Cao, W.X.[Wei-Xing],
Cheng, T.[Tao],
Evaluation of Three Techniques for Correcting the Spatial Scaling
Bias of Leaf Area Index,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Munier, S.[Simon],
Carrer, D.[Dominique],
Planque, C.[Carole],
Camacho, F.[Fernando],
Albergel, C.[Clément],
Calvet, J.C.[Jean-Christophe],
Satellite Leaf Area Index: Global Scale Analysis of the Tendencies
Per Vegetation Type Over the Last 17 Years,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link
1804
BibRef
Leroux, D.J.[Delphine Jennifer],
Calvet, J.C.[Jean-Christophe],
Munier, S.[Simon],
Albergel, C.[Clément],
Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde
over the Euro-Mediterranean Area,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Yan, K.,
Park, T.,
Chen, C.,
Xu, B.,
Song, W.,
Yang, B.,
Zeng, Y.,
Liu, Z.,
Yan, G.,
Knyazikhin, Y.,
Myneni, R.B.,
Generating Global Products of LAI and FPAR From SNPP-VIIRS Data:
Theoretical Background and Implementation,
GeoRS(56), No. 4, April 2018, pp. 2119-2137.
IEEE DOI
1804
Earth, Indexes, MODIS, Satellite broadcasting, Sensors,
Vegetation mapping, Earth System Data Record (ESDR),
spectral invariants
BibRef
Qiu, F.,
Chen, J.M.,
Ju, W.,
Wang, J.,
Zhang, Q.,
Fang, M.,
Improving the PROSPECT Model to Consider Anisotropic Scattering of
Leaf Internal Materials and Its Use for Retrieving Leaf Biomass in
Fresh Leaves,
GeoRS(56), No. 6, June 2018, pp. 3119-3136.
IEEE DOI
1806
Absorption, Biological system modeling,
Biomedical optical imaging, Light scattering, Optical sensors,
leaf optical properties
BibRef
Hu, R.,
Yan, G.,
Nerry, F.,
Liu, Y.,
Jiang, Y.,
Wang, S.,
Chen, Y.,
Mu, X.,
Zhang, W.,
Xie, D.,
Using Airborne Laser Scanner and Path Length Distribution Model to
Quantify Clumping Effect and Estimate Leaf Area Index,
GeoRS(56), No. 6, June 2018, pp. 3196-3209.
IEEE DOI
1806
Atmospheric modeling, Data models, Indexes, Laser modes, Laser radar,
Remote sensing, Vegetation mapping, Airborne laser scanner (ALS),
path length distribution
BibRef
Roth, L.[Lukas],
Aasen, H.[Helge],
Walter, A.[Achim],
Liebisch, F.[Frank],
Extracting leaf area index using viewing geometry effects: A new
perspective on high-resolution unmanned aerial system photography,
PandRS(141), 2018, pp. 161-175.
Elsevier DOI
1806
LAI, Gap fraction, High-throughput phenotyping, Soybean,
Active learning, Segmentation
BibRef
Qu, Y.H.[Yong-Hua],
Shaker, A.[Ahmed],
Silva, C.A.[Carlos Alberto],
Klauberg, C.[Carine],
Pinagé, E.R.[Ekena Rangel],
Remote Sensing of Leaf Area Index from LiDAR Height Percentile
Metrics and Comparison with MODIS Product in a Selectively Logged
Tropical Forest Area in Eastern Amazonia,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Brede, B.[Benjamin],
Gastellu-Etchegorry, J.P.[Jean-Philippe],
Lauret, N.[Nicolas],
Baret, F.[Frederic],
Clevers, J.G.P.W.[Jan G. P. W.],
Verbesselt, J.[Jan],
Herold, M.[Martin],
Monitoring Forest Phenology and Leaf Area Index with the Autonomous,
Low-Cost Transmittance Sensor PASTiS-57,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Tian, L.[Li],
Chen, J.[Jiquan],
Shao, C.L.[Chang-Liang],
Interdependent Dynamics of LAI-Albedo across the Roofing Landscapes:
Mongolian and Tibetan Plateaus,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Zhou, J.M.[Jian-Min],
Zhang, S.[Shan],
Yang, H.[Hua],
Xiao, Z.Q.[Zhi-Qiang],
Gao, F.[Feng],
The Retrieval of 30-m Resolution LAI from Landsat Data by Combining
MODIS Products,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Campos-Taberner, M.[Manuel],
Moreno-Martínez, Á.[Álvaro],
García-Haro, F.J.[Francisco Javier],
Camps-Valls, G.[Gustau],
Robinson, N.P.[Nathaniel P.],
Kattge, J.[Jens],
Running, S.W.[Steven W.],
Global Estimation of Biophysical Variables from Google Earth Engine
Platform,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Cui, Z.Y.[Zhao-Yu],
Kerekes, J.P.[John P.],
Potential of Red Edge Spectral Bands in Future Landsat Satellites on
Agroecosystem Canopy Green Leaf Area Index Retrieval,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Soma, M.[Maxime],
Pimont, F.[François],
Durrieu, S.[Sylvie],
Dupuy, J.L.[Jean-Luc],
Enhanced Measurements of Leaf Area Density with T-LiDAR: Evaluating
and Calibrating the Effects of Vegetation Heterogeneity and Scanner
Properties,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Wu, D.[Dan],
Phinn, S.[Stuart],
Johansen, K.[Kasper],
Robson, A.[Andrew],
Muir, J.[Jasmine],
Searle, C.[Christopher],
Estimating Changes in Leaf Area, Leaf Area Density, and Vertical Leaf
Area Profile for Mango, Avocado, and Macadamia Tree Crowns Using
Terrestrial Laser Scanning,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link
1812
BibRef
Yang, X.B.[Xue-Bo],
Wang, C.[Cheng],
Pan, F.F.[Fei-Fei],
Nie, S.[Sheng],
Xi, X.H.[Xiao-Huan],
Luo, S.Z.[She-Zhou],
Retrieving leaf area index in discontinuous forest using ICESat/GLAS
full-waveform data based on gap fraction model,
PandRS(148), 2019, pp. 54-62.
Elsevier DOI
1901
Leaf area index, LiDAR waveform, Gap fraction model,
Between-crown clumping, Discontinuous forest
BibRef
Wang, J.[Jian],
Wang, J.[Jindi],
Shi, Y.[Yuechan],
Zhou, H.M.[Hong-Min],
Liao, L.M.[Li-Min],
A Recursive Update Model for Estimating High-Resolution LAI Based on
the NARX Neural Network and MODIS Times Series,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Qiao, K.[Kun],
Zhu, W.Q.[Wen-Quan],
Xie, Z.Y.[Zhi-Ying],
Li, P.X.[Pei-Xian],
Estimating the Seasonal Dynamics of the Leaf Area Index Using
Piecewise LAI-VI Relationships Based on Phenophases,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Darvishzadeh, R.[Roshanak],
Wang, T.J.[Tie-Jun],
Skidmore, A.[Andrew],
Vrieling, A.[Anton],
O'Connor, B.[Brian],
Gara, T.W.[Tawanda W],
Ens, B.J.[Bruno J.],
Paganini, M.[Marc],
Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index
in a Saltmarsh Using a Radiative Transfer Model,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Towers, P.C.[Pedro C.],
Strever, A.[Albert],
Poblete-Echeverría, C.[Carlos],
Comparison of Vegetation Indices for Leaf Area Index Estimation in
Vertical Shoot Positioned Vine Canopies with and without Grenbiule
Hail-Protection Netting,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Lei, L.[Lei],
Qiu, C.X.[Chun-Xia],
Li, Z.H.[Zhen-Hai],
Han, D.[Dong],
Han, L.[Liang],
Zhu, Y.H.[Yao-Hui],
Wu, J.T.[Jin-Tao],
Xu, B.[Bo],
Feng, H.K.[Hai-Kuan],
Yang, H.[Hao],
Yang, G.J.[Gui-Jun],
Effect of Leaf Occlusion on Leaf Area Index Inversion of Maize Using
UAV-LiDAR Data,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link
1905
BibRef
Meyer, L.H.[Lorenz Hans],
Heurich, M.[Marco],
Beudert, B.[Burkhard],
Premier, J.[Joseph],
Pflugmacher, D.[Dirk],
Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf
Area Index in Temperate Forests,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Boren, E.J.[Erik J.],
Boschetti, L.[Luigi],
Johnson, D.M.[Dan M.],
Characterizing the Variability of the Structure Parameter in the
PROSPECT Leaf Optical Properties Model,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link
1906
Radiative transfer model (RTM) to determine biochemical composition of leaves.
BibRef
Chen, Y.[Yepei],
Sun, K.M.[Kai-Min],
Chen, C.[Chi],
Bai, T.[Ting],
Park, T.[Taejin],
Wang, W.[Weile],
Nemani, R.R.[Ramakrishna R.],
Myneni, R.B.[Ranga B.],
Generation and Evaluation of LAI and FPAR Products from Himawari-8
Advanced Himawari Imager (AHI) Data,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Sun, Z.,
Wu, D.,
Lv, Y.,
Lu, S.,
Optical Properties of Reflected Light From Leaves:
A Case Study From One Species,
GeoRS(57), No. 7, July 2019, pp. 4388-4406.
IEEE DOI
1907
Optical variables measurement, Optical surface waves,
Vegetation mapping, Land surface, Optical polarization,
polarimetric property
BibRef
Pimont, F.[François],
Soma, M.[Maxime],
Dupuy, J.L.[Jean-Luc],
Accounting for Wood, Foliage Properties, and Laser Effective
Footprint in Estimations of Leaf Area Density from Multiview-LiDAR
Data,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link
1907
BibRef
Rouzbeh Kargar, A.[Ali],
MacKenzie, R.[Richard],
Asner, G.P.[Gregory P.],
van Aardt, J.[Jan],
A Density-Based Approach for Leaf Area Index Assessment in a Complex
Forest Environment Using a Terrestrial Laser Scanner,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Bai, T.C.[Tie-Cheng],
Wang, S.G.[Shang-Gui],
Meng, W.B.[Wen-Bo],
Zhang, N.N.[Nan-Nan],
Wang, T.[Tao],
Chen, Y.Q.[You-Qi],
Mercatoris, B.[Benoit],
Assimilation of Remotely-Sensed LAI into WOFOST Model with the
SUBPLEX Algorithm for Improving the Field-Scale Jujube Yield
Forecasts,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link
1909
BibRef
Wang, T.[Ting],
Qu, Y.H.[Yong-Hua],
Xia, Z.Q.[Zi-Qing],
Peng, Y.P.[Yi-Ping],
Liu, Z.H.[Zhen-Hua],
Multi-Scale Validation of MODIS LAI Products Based on Crop Growth
Period,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link
1912
BibRef
Sun, Y.,
Qin, Q.,
Ren, H.,
Zhang, T.,
Chen, S.,
Red-Edge Band Vegetation Indices for Leaf Area Index Estimation From
Sentinel-2/MSI Imagery,
GeoRS(58), No. 2, February 2020, pp. 826-840.
IEEE DOI
2001
Vegetation mapping, Indexes, Estimation, Agriculture, Remote sensing,
Sensors, Temperature measurement, Leaf area index (LAI),
vegetation index
BibRef
Yin, T.G.[Tian-Gang],
Qi, J.B.[Jian-Bo],
Cook, B.D.[Bruce D.],
Morton, D.C.[Douglas C.],
Wei, S.S.[Shan-Shan],
Gastellu-Etchegorry, J.P.[Jean-Philippe],
Modeling Small-Footprint Airborne Lidar-Derived Estimates of Gap
Probability and Leaf Area Index,
RS(12), No. 1, 2019, pp. xx-yy.
DOI Link
2001
BibRef
Qu, Y.H.[Yong-Hua],
Shaker, A.[Ahmed],
Korhonen, L.[Lauri],
Silva, C.A.[Carlos Alberto],
Jia, K.[Kun],
Tian, L.[Luo],
Song, J.L.[Jin-Ling],
Direct Estimation of Forest Leaf Area Index based on Spectrally
Corrected Airborne LiDAR Pulse Penetration Ratio,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Zhai, H.[Huan],
Huang, F.[Fang],
Qi, H.[Hang],
Generating High Resolution LAI Based on a Modified FSDAF Model,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Wu, J.H.[Jin-Hui],
Liang, S.L.[Shun-Lin],
Assessing Terrestrial Ecosystem Resilience using Satellite Leaf Area
Index,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link
2003
BibRef
Cohrs, C.W.[Chris W.],
Cook, R.L.[Rachel L.],
Gray, J.M.[Josh M.],
Albaugh, T.J.[Timothy J.],
Sentinel-2 Leaf Area Index Estimation for Pine Plantations in the
Southeastern United States,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Ghimire, P.[Prakash],
Lei, D.[Deng],
Juan, N.[Nie],
Effect of Image Fusion on Vegetation Index Quality: A Comparative
Study from Gaofen-1, Gaofen-2, Gaofen-4, Landsat-8 OLI and MODIS
Imagery,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Revill, A.[Andrew],
Florence, A.[Anna],
MacArthur, A.[Alasdair],
Hoad, S.[Stephen],
Rees, R.[Robert],
Williams, M.[Mathew],
Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval
of Leaf Area Index by Coupling Sentinel-2 and UAV Observations,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Jiang, F.[Fugen],
Smith, A.R.[Andrew R.],
Kutia, M.[Mykola],
Wang, G.X.[Guang-Xing],
Liu, H.[Hua],
Sun, H.[Hua],
A Modified KNN Method for Mapping the Leaf Area Index in Arid and
Semi-Arid Areas of China,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Yin, G.,
Cao, B.,
Li, J.,
Fan, W.,
Zeng, Y.,
Xu, B.,
Zhao, W.,
Path Length Correction for Improving Leaf Area Index Measurements
Over Sloping Terrains: A Deep Analysis Through Computer Simulation,
GeoRS(58), No. 7, July 2020, pp. 4573-4589.
IEEE DOI
2006
Surface topography, Estimation, Computer simulation, Indexes,
Uncertainty, Area measurement, Computer simulation,
topographic effect
BibRef
Chen, Z.L.[Zhu-Lin],
Jia, K.[Kun],
Xiao, C.C.[Chen-Chao],
Wei, D.D.[Dan-Dan],
Zhao, X.[Xiang],
Lan, J.H.[Jin-Hui],
Wei, X.Q.[Xiang-Qin],
Yao, Y.J.[Yun-Jun],
Wang, B.[Bing],
Sun, Y.[Yuan],
Wang, L.[Lei],
Leaf Area Index Estimation Algorithm for GF-5 Hyperspectral Data
Based on Different Feature Selection and Machine Learning Methods,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Rajib, A.[Adnan],
Kim, I.L.[I Luk],
Golden, H.E.[Heather E.],
Lane, C.R.[Charles R.],
Kumar, S.V.[Sujay V.],
Yu, Z.Q.[Zhi-Qiang],
Jeyalakshmi, S.[Saranya],
Watershed Modeling with Remotely Sensed Big Data: MODIS Leaf Area
Index Improves Hydrology and Water Quality Predictions,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Xu, Z.S.[Zhao-Shang],
Zheng, G.[Guang],
Moskal, L.M.[L. Monika],
Stratifying Forest Overstory for Improving Effective LAI Estimation
Based on Aerial Imagery and Discrete Laser Scanning Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
2007
BibRef
Cui, L.[Lei],
Jiao, Z.[Ziti],
Zhao, K.[Kaiguang],
Sun, M.[Mei],
Dong, Y.D.[Ya-Dong],
Yin, S.Y.[Si-Yang],
Li, Y.[Yang],
Chang, Y.X.[Ya-Xuan],
Guo, J.[Jing],
Xie, R.[Rui],
Zhu, Z.D.[Zi-Dong],
Li, S.[Sijie],
Retrieval of Vertical Foliage Profile and Leaf Area Index Using
Transmitted Energy Information Derived from ICESat GLAS Data,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Zhou, H.M.[Hong-Min],
Wang, C.J.[Chang-Jing],
Zhang, G.D.[Guo-Dong],
Xue, H.Z.[Hua-Zhu],
Wang, J.[Jingdi],
Wan, H.[Huawei],
Generating a Spatio-Temporal Complete 30 m Leaf Area Index from Field
and Remote Sensing Data,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Estévez, J.[José],
Vicent, J.[Jorge],
Rivera-Caicedo, J.P.[Juan Pablo],
Morcillo-Pallarés, P.[Pablo],
Vuolo, F.[Francesco],
Sabater, N.[Neus],
Camps-Valls, G.[Gustau],
Moreno, J.[José],
Verrelst, J.[Jochem],
Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere
radiance data,
PandRS(167), 2020, pp. 289-304.
Elsevier DOI
2008
Biophysical variables, LAI estimation,
Top-of-atmosphere radiance data, Sentinel-2,
Radiative transfer model
BibRef
Iiames, J.S.[John S.],
Cooter, E.[Ellen],
Pilant, A.[Andrew],
Shao, Y.[Yang],
Comparison of EPIC-Simulated and MODIS-Derived Leaf Area Index (LAI)
across Multiple Spatial Scales,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Dong, T.F.[Tai-Feng],
Liu, J.G.[Jian-Gui],
Qian, B.D.[Bu-Dong],
He, L.M.[Li-Ming],
Liu, J.[Jane],
Wang, R.[Rong],
Jing, Q.[Qi],
Champagne, C.[Catherine],
McNairn, H.[Heather],
Powers, J.[Jarrett],
Shi, Y.C.[Yi-Chao],
Chen, J.M.[Jing M.],
Shang, J.L.[Jia-Li],
Estimating crop biomass using leaf area index derived from Landsat 8
and Sentinel-2 data,
PandRS(168), 2020, pp. 236-250.
Elsevier DOI
2009
Sentinel-2, Landsat-8, Harmonized Landsat Sentinel-2 (HLS),
Leaf area index, Biomass, Data assimilation
BibRef
Xu, J.[Jin],
Quackenbush, L.J.[Lindi J.],
Volk, T.A.[Timothy A.],
Im, J.[Jungho],
Forest and Crop Leaf Area Index Estimation Using Remote Sensing:
Research Trends and Future Directions,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
Mourad, R.[Roya],
Jaafar, H.[Hadi],
Anderson, M.[Martha],
Gao, F.[Feng],
Assessment of Leaf Area Index Models Using Harmonized Landsat and
Sentinel-2 Surface Reflectance Data over a Semi-Arid Irrigated
Landscape,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Wang, Y.[Yao],
Fang, H.L.[Hong-Liang],
Estimation of LAI with the LiDAR Technology: A Review,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link
2010
BibRef
Beeri, O.[Ofer],
Netzer, Y.S.[Yi-Shai],
Munitz, S.[Sarel],
Mintz, D.F.[Danielle Ferman],
Pelta, R.[Ran],
Shilo, T.[Tal],
Horesh, A.[Alon],
Mey-tal, S.[Shay],
Kc and LAI Estimations Using Optical and SAR Remote Sensing Imagery
for Vineyards Plots,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Liang, L.[Liang],
Geng, D.[Di],
Yan, J.[Juan],
Qiu, S.Y.[Si-Yi],
Di, L.P.[Li-Ping],
Wang, S.G.[Shu-Guo],
Xu, L.[Lu],
Wang, L.J.[Li-Juan],
Kang, J.R.[Jian-Rong],
Li, L.[Li],
Estimating Crop LAI Using Spectral Feature Extraction and the Hybrid
Inversion Method,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Chrysafis, I.[Irene],
Korakis, G.[Georgios],
Kyriazopoulos, A.P.[Apostolos P.],
Mallinis, G.[Giorgos],
Retrieval of Leaf Area Index Using Sentinel-2 Imagery in a Mixed
Mediterranean Forest Area,
IJGI(9), No. 11, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Zhang, J.Y.[Jing-Yu],
Wang, J.D.[Jin-Di],
Sun, R.[Rui],
Zhou, H.M.[Hong-Min],
Zhang, H.[Helin],
A Model-Downscaling Method for Fine-Resolution LAI Estimation,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Pipia, L.[Luca],
Amin, E.[Eatidal],
Belda, S.[Santiago],
Salinero-Delgado, M.[Matías],
Verrelst, J.[Jochem],
Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process
Regression in Google Earth Engine,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link
2102
BibRef
Salinero-Delgado, M.[Matías],
Estévez, J.[José],
Pipia, L.[Luca],
Belda, S.[Santiago],
Berger, K.[Katja],
Gómez, V.P.[Vanessa Paredes],
Verrelst, J.[Jochem],
Monitoring Cropland Phenology on Google Earth Engine Using Gaussian
Process Regression,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Lin, L.C.[Ling-Chen],
Yu, K.Y.[Kun-Yong],
Yao, X.[Xiong],
Deng, Y.B.[Yang-Bo],
Hao, Z.B.[Zhen-Bang],
Chen, Y.[Yan],
Wu, N.K.[Nan-Kun],
Liu, J.[Jian],
UAV Based Estimation of Forest Leaf Area Index (LAI) through Oblique
Photogrammetry,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Yang, J.[Jian],
Zhang, Y.Y.[Yang-Yang],
Du, L.[Lin],
Liu, X.[Xiuguo],
Shi, S.[Shuo],
Chen, B.[Biwu],
Improving the Selection of Vegetation Index Characteristic
Wavelengths by Using the PROSPECT Model for Leaf Water Content
Estimation,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
de Sá, N.C.[Nuno César],
Baratchi, M.[Mitra],
Hauser, L.T.[Leon T.],
van Bodegom, P.[Peter],
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on
Sentinel-2 Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
Radiative Transfer Models.
BibRef
Kinane, S.M.[Stephen M.],
Montes, C.R.[Cristian R.],
Albaugh, T.J.[Timothy J.],
Mishra, D.R.[Deepak R.],
A Model to Estimate Leaf Area Index in Loblolly Pine Plantations
Using Landsat 5 and 7 Images,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Geng, J.[Jun],
Yuan, G.[Gang],
Chen, J.M.,
Lyu, C.G.[Chun-Guang],
Tu, L.[Lili],
Fan, W.L.[Wei-Liang],
Tian, Q.J.[Qing-Jiu],
Wu, Z.F.[Zhao-Fu],
Tao, T.Y.[Ting-Ye],
Yu, M.[Min],
Zhu, Y.C.[Yong-Chao],
Huang, J.W.[Jian-Wei],
Xu, K.J.[Kai-Jian],
Li, J.C.[Jin-Chao],
Wang, S.T.[Shao-Teng],
Error Analysis of LAI Measurements with LAI-2000 Due to Discrete View
Angular Range Angles for Continuous Canopies,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Hosseini, M.[Mehdi],
McNairn, H.[Heather],
Mitchell, S.[Scott],
Robertson, L.D.[Laura Dingle],
Davidson, A.[Andrew],
Ahmadian, N.[Nima],
Bhattacharya, A.[Avik],
Borg, E.[Erik],
Conrad, C.[Christopher],
Dabrowska-Zielinska, K.[Katarzyna],
de Abelleyra, D.[Diego],
Gurdak, R.[Radoslaw],
Kumar, V.[Vineet],
Kussul, N.[Nataliia],
Mandal, D.[Dipankar],
Rao, Y.S.,
Saliendra, N.[Nicanor],
Shelestov, A.[Andrii],
Spengler, D.[Daniel],
Verón, S.R.[Santiago R.],
Homayouni, S.[Saeid],
Becker-Reshef, I.[Inbal],
A Comparison between Support Vector Machine and Water Cloud Model for
Estimating Crop Leaf Area Index,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Brown, L.A.[Luke A.],
Fernandes, R.[Richard],
Djamai, N.[Najib],
Meier, C.[Courtney],
Gobron, N.[Nadine],
Morris, H.[Harry],
Canisius, F.[Francis],
Bai, G.[Gabriele],
Lerebourg, C.[Christophe],
Lanconelli, C.[Christian],
Clerici, M.[Marco],
Dash, J.[Jadunandan],
Validation of baseline and modified Sentinel-2 Level 2 Prototype
Processor leaf area index retrievals over the United States,
PandRS(175), 2021, pp. 71-87.
Elsevier DOI
2105
GBOV, LAI, MSI, NEON, SL2P, SL2P-D
BibRef
Verhoef, W.[Wouter],
Bi-hemispherical Canopy Reflectance Model with Surface Heterogeneity
Effects for the Estimation of LAI and fAPAR from MODIS White-Sky
Spectral Albedo Data,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link
2105
BibRef
Tian, L.[Luo],
Qu, Y.H.[Yong-Hua],
Qi, J.B.[Jian-Bo],
Estimation of Forest LAI Using Discrete Airborne LiDAR: A Review,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link
2106
BibRef
de Peppo, M.[Margherita],
Taramelli, A.[Andrea],
Boschetti, M.[Mirco],
Mantino, A.[Alberto],
Volpi, I.[Iride],
Filipponi, F.[Federico],
Tornato, A.[Antonella],
Valentini, E.[Emiliana],
Ragaglini, G.[Giorgio],
Non-Parametric Statistical Approaches for Leaf Area Index Estimation
from Sentinel-2 Data: A Multi-Crop Assessment,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Lv, T.T.[Ting-Ting],
Zhou, X.[Xiang],
Tao, Z.[Zui],
Sun, X.Y.[Xiao-Yu],
Wang, J.[Jin],
Li, R.X.[Ruo-Xi],
Xie, F.[Futai],
Remote Sensing-Guided Spatial Sampling Strategy over Heterogeneous
Surface Ground for Validation of Vegetation Indices Products with
Medium and High Spatial Resolution,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link
2107
BibRef
Andalibi, L.[Lida],
Ghorbani, A.[Ardavan],
Moameri, M.[Mehdi],
Hazbavi, Z.[Zeinab],
Nothdurft, A.[Arne],
Jafari, R.[Reza],
Dadjou, F.[Farid],
Leaf Area Index Variations in Ecoregions of Ardabil Province, Iran,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Andalibi, L.[Lida],
Ghorbani, A.[Ardavan],
Darvishzadeh, R.[Roshanak],
Moameri, M.[Mehdi],
Hazbavi, Z.[Zeinab],
Jafari, R.[Reza],
Dadjou, F.[Farid],
Multisensor Assessment of Leaf Area Index across Ecoregions of
Ardabil Province, Northwestern Iran,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Miraglio, T.[Thomas],
Huesca, M.[Margarita],
Gastellu-Etchegorry, J.P.[Jean-Philippe],
Schaaf, C.[Crystal],
Adeline, K.R.M.[Karine R. M.],
Ustin, S.L.[Susan L.],
Briottet, X.[Xavier],
Impact of Modeling Abstractions When Estimating Leaf Mass per Area
and Equivalent Water Thickness over Sparse Forests Using a Hybrid
Method,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Liu, J.[Jing],
Li, L.H.[Long-Hui],
Akerblom, M.[Markku],
Wang, T.J.[Tie-Jun],
Skidmore, A.[Andrew],
Zhu, X.[Xi],
Heurich, M.[Marco],
Comparative Evaluation of Algorithms for Leaf Area Index Estimation
from Digital Hemispherical Photography through Virtual Forests,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Chen, Y.[Yuwen],
Sun, J.[Jia],
Wang, L.[Lunche],
Shi, S.[Shuo],
Gong, W.[Wei],
Wang, S.Q.[Shao-Qiang],
Tagesson, T.[Torbern],
Optimized Estimation of Leaf Mass per Area with a 3D Matrix of
Vegetation Indices,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Song, G.[Guangman],
Wang, Q.[Quan],
Including Leaf Traits Improves a Deep Neural Network Model for
Predicting Photosynthetic Capacity from Reflectance,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Zhang, X.N.[Xiao-Ning],
Jiao, Z.[Ziti],
Zhao, C.S.[Chang-Sen],
Yin, S.Y.[Si-Yang],
Cui, L.[Lei],
Dong, Y.D.[Ya-Dong],
Zhang, H.[Hu],
Guo, J.[Jing],
Xie, R.[Rui],
Li, S.[Sijie],
Zhu, Z.D.[Zi-Dong],
Tong, Y.D.[Yi-Dong],
Retrieval of Leaf Area Index by Linking the PROSAIL and Ross-Li BRDF
Models Using MODIS BRDF Data,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Zhang, H.[Hu],
Zhang, X.N.[Xiao-Ning],
Cui, L.[Lei],
Dong, Y.D.[Ya-Dong],
Liu, Y.[Yan],
Xi, Q.R.[Qian-Rui],
Cao, H.T.[Hong-Tao],
Chen, L.[Lei],
Lian, Y.[Yi],
Enhancing Leaf Area Index Estimation with MODIS BRDF Data by
Optimizing Directional Observations and Integrating PROSAIL and
Ross–Li Models,
RS(15), No. 23, 2023, pp. 5609.
DOI Link
2312
BibRef
Zhang, H.[Hu],
Li, J.[Jing],
Liu, Q.H.[Qin-Huo],
Dong, Y.D.[Ya-Dong],
Li, S.Z.[Song-Ze],
Zhang, Z.X.[Zhao-Xing],
Zhu, X.R.[Xin-Ran],
Liu, L.[Liangyun],
Zhao, J.[Jing],
Estimating Leaf Area Index with Dynamic Leaf Optical Properties,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Chen, Y.[Yang],
Ma, L.X.[Li-Xia],
Yu, D.S.[Dong-Sheng],
Feng, K.Y.[Kai-Yue],
Wang, X.[Xin],
Song, J.[Jie],
Improving Leaf Area Index Retrieval Using Multi-Sensor Images and
Stacking Learning in Subtropical Forests of China,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Huang, B.B.[Bin-Bin],
Yang, Y.Z.[Yan-Zheng],
Li, R.N.[Ruo-Nan],
Zheng, H.[Hua],
Wang, X.K.[Xiao-Ke],
Wang, X.M.[Xu-Ming],
Zhang, Y.[Yan],
Integrating Remotely Sensed Leaf Area Index with Biome-BGC to
Quantify the Impact of Land Use/Land Cover Change on Water Retention
in Beijing,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Ji, L.Q.[Liu-Qing],
Fan, K.[Ke],
Interannual Relationship between Haze Days in December-January and
Satellite-Based Leaf Area Index in August-September over Central
North China,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Li, J.[Juan],
Xiao, Z.Q.[Zhi-Qiang],
Sun, R.[Rui],
Song, J.L.[Jin-Ling],
Retrieval of the Leaf Area Index from Visible Infrared Imaging
Radiometer Suite (VIIRS) Surface Reflectance Based on Unsupervised
Domain Adaptation,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Zhu, W.Q.[Wen-Quan],
He, B.[Bangke],
Xie, Z.Y.[Zhi-Ying],
Zhao, C.L.[Cen-Liang],
Zhuang, H.M.[Hui-Min],
Li, P.X.[Pei-Xian],
Reconstruction of Vegetation Index Time Series Based on
Self-Weighting Function Fitting from Curve Features,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Miura, M.[Munenori],
Obata, K.[Kenta],
Yoshioka, H.[Hiroki],
Wavelength Extension of the Optimized Asymmetric-Order Vegetation
Isoline Equation to Cover the Range from Visible to Near-Infrared,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
Relationships between two reflectances of different wavelengths.
BibRef
Wang, W.[Weiyan],
Ma, Y.Y.[Ying-Ying],
Meng, X.L.[Xiao-Liang],
Sun, L.[Lin],
Jia, C.[Chen],
Jin, S.K.[Shi-Kuan],
Li, H.[Hui],
Retrieval of the Leaf Area Index from MODIS Top-of-Atmosphere
Reflectance Data Using a Neural Network Supported by Simulation Data,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Shen, B.B.[Bei-Bei],
Ding, L.[Lei],
Ma, L.[Leichao],
Li, Z.W.[Zhen-Wang],
Pulatov, A.[Alim],
Kulenbekov, Z.[Zheenbek],
Chen, J.[Jiquan],
Mambetova, S.[Saltanat],
Hou, L.[Lulu],
Xu, D.W.[Da-Wei],
Wang, X.[Xu],
Xin, X.P.[Xiao-Ping],
Modeling the Leaf Area Index of Inner Mongolia Grassland Based on
Machine Learning Regression Algorithms Incorporating Empirical
Knowledge,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Liu, T.[Tian],
Jin, H.[Huaan],
Li, A.[Ainong],
Fang, H.L.[Hong-Liang],
Wei, D.D.[Dan-Dan],
Xie, X.Y.[Xin-Yao],
Nan, X.[Xi],
Estimation of Vegetation Leaf-Area-Index Dynamics from Multiple
Satellite Products through Deep-Learning Method,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Li, W.J.[Wen-Juan],
Weiss, M.[Marie],
Garric, B.[Bernard],
Champolivier, L.[Luc],
Jiang, J.Y.[Jing-Yi],
Wu, W.B.[Wen-Bin],
Baret, F.[Frédéric],
Mapping Crop Leaf Area Index and Canopy Chlorophyll Content Using UAV
Multispectral Imagery: Impacts of Illuminations and Distribution of
Input Variables,
RS(15), No. 6, 2023, pp. 1539.
DOI Link
2304
BibRef
Wang, C.J.[Cang-Jiao],
Jia, D.[Duo],
Lei, S.G.[Shao-Gang],
Numata, I.[Izaya],
Tian, L.[Luo],
Accuracy Assessment and Impact Factor Analysis of GEDI Leaf Area
Index Product in Temperate Forest,
RS(15), No. 6, 2023, pp. 1535.
DOI Link
2304
BibRef
Mutanga, O.[Onisimo],
Masenyama, A.[Anita],
Sibanda, M.[Mbulisi],
Spectral saturation in the remote sensing of high-density vegetation
traits: A systematic review of progress, challenges, and prospects,
PandRS(198), 2023, pp. 297-309.
Elsevier DOI
2304
Saturation threshold, Spectral saturation,
Above-ground biomass, High-density vegetation, Leaf area index
BibRef
Lin, W.[Wanyi],
Yuan, H.[Hua],
Dong, W.Z.[Wen-Zong],
Zhang, S.P.[Shu-Peng],
Liu, S.F.[Shao-Feng],
Wei, N.[Nan],
Lu, X.J.[Xing-Jie],
Wei, Z.W.[Zhong-Wang],
Hu, Y.[Ying],
Dai, Y.J.[Yong-Jiu],
Reprocessed MODIS Version 6.1 Leaf Area Index Dataset and Its
Evaluation for Land Surface and Climate Modeling,
RS(15), No. 7, 2023, pp. 1780.
DOI Link
2304
BibRef
Luo, X.[Xin],
Jin, L.[Lili],
Tian, X.[Xin],
Chen, S.[Shuxin],
Wang, H.[Haiyi],
A High Spatiotemporal Enhancement Method of Forest Vegetation Leaf
Area Index Based on Landsat8 OLI and GF-1 WFV Data,
RS(15), No. 11, 2023, pp. 2812.
DOI Link
2306
BibRef
Awaya, Y.[Yoshio],
Araki, K.[Kazuho],
Estimating Three-Dimensional Distribution of Leaf Area Using Airborne
LiDAR in Deciduous Broad-Leaved Forest,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Zhang, J.Y.[Jing-Yu],
Sun, R.[Rui],
Xiao, Z.Q.[Zhi-Qiang],
Zhao, L.[Liang],
Xie, D.H.[Dong-Hui],
AM-GM Algorithm for Evaluating, Analyzing, and Correcting the Spatial
Scaling Bias of the Leaf Area Index,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Xu, T.C.[Tian-Chi],
Yan, K.[Kai],
He, Y.P.[Yuan-Peng],
Gao, S.[Si],
Yang, K.[Kai],
Wang, J.R.[Jing-Rui],
Liu, J.X.[Jin-Xiu],
Liu, Z.[Zhao],
Spatio-Temporal Variability Analysis of Vegetation Dynamics in China
from 2000 to 2022 Based on Leaf Area Index: A Multi-Temporal Image
Classification Perspective,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Li, J.[Juan],
Xiao, Z.Q.[Zhi-Qiang],
Sun, R.[Rui],
Song, J.L.[Jin-Ling],
A method to estimate leaf area index from VIIRS surface reflectance
using deep transfer learning,
PandRS(202), 2023, pp. 512-527.
Elsevier DOI
2308
BibRef
Kobayashi, T.[Toshiyuki],
Kobayashi, H.[Hideki],
Yang, W.[Wei],
Murakami, H.[Hiroshi],
Honda, Y.[Yoshiaki],
Nishida-Nasahara, K.[Kenlo],
The development of a global LAI and FAPAR product using GCOM-C/SGLI
data,
PandRS(202), 2023, pp. 479-498.
Elsevier DOI
2308
Leaf Area Index (LAI),
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Global map
BibRef
Ma, B.B.[Bai-Bing],
Xu, M.[Ming],
Identifying Outliers of the MODIS Leaf Area Index Data by Including
Temporal Patterns in Post-Processing,
RS(15), No. 20, 2023, pp. 5042.
DOI Link
2310
BibRef
Shabanov, N.V.[Nikolay V.],
Egorov, V.A.[Vyacheslav A.],
Miklashevich, T.S.[Tatiana S.],
Stytsenko, E.A.[Ekaterina A.],
Bartalev, S.A.[Sergey A.],
Utility of Leaf Area Index for Monitoring Phenology of Russian
Forests,
RS(15), No. 22, 2023, pp. 5419.
DOI Link
2311
BibRef
Zhou, J.X.[Jun-Xiong],
Yang, Q.[Qi],
Liu, L.C.[Li-Cheng],
Kang, Y.H.[Yang-Hui],
Jia, X.W.[Xiao-Wei],
Chen, M.[Min],
Ghosh, R.[Rahul],
Xu, S.M.[Shao-Min],
Jiang, C.[Chongya],
Guan, K.Y.[Kai-Yu],
Kumar, V.[Vipin],
Jin, Z.[Zhenong],
A deep transfer learning framework for mapping high spatiotemporal
resolution LAI,
PandRS(206), 2023, pp. 30-48.
Elsevier DOI
2312
Leaf area index, High spatial resolution,
Long short-term memory, Deep transfer learning
BibRef
Wang, C.J.[Chang-Jing],
Zhou, H.M.[Hong-Min],
Zhang, G.D.[Guo-Dong],
Duan, J.G.[Jian-Guo],
Lin, M.[Moxiao],
High Spatial Resolution Leaf Area Index Estimation for Woodland in
Saihanba Forestry Center, China,
RS(16), No. 5, 2024, pp. 764.
DOI Link
2403
BibRef
Zheng, Y.J.[Ya-Jie],
Xiao, Z.Q.[Zhi-Qiang],
Shi, H.Y.[Han-Yu],
Song, J.L.[Jin-Ling],
Exploring the Effects of Topography on Leaf Area Index Retrieved from
Remote Sensing Data at Various Spatial Scales over Rugged Terrains,
RS(16), No. 8, 2024, pp. 1404.
DOI Link
2405
BibRef
Wang, Y.[Yao],
Fang, H.L.[Hong-Liang],
Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON
Sites: The Impact of Segment Size and Beam Type,
RS(16), No. 16, 2024, pp. 3078.
DOI Link
2408
BibRef
Yu, J.[Junru],
Zhang, Y.[Yu],
Song, Z.H.[Zheng-Hua],
Jiang, D.[Danyao],
Guo, Y.M.[Yi-Ming],
Liu, Y.[Yanfu],
Chang, Q.[Qingrui],
Estimating Leaf Area Index in Apple Orchard by UAV Multispectral
Images with Spectral and Texture Information,
RS(16), No. 17, 2024, pp. 3237.
DOI Link
2409
BibRef
Jiang, Y.Y.[Yun-Yang],
Zhang, Z.X.[Zi-Xuan],
He, H.J.[Huai-Jiang],
Zhang, X.[Xinna],
Feng, F.[Fei],
Xu, C.Y.[Cheng-Yang],
Zhang, M.J.[Ming-Jie],
Lafortezza, R.[Raffaele],
Research on Leaf Area Index Inversion Based on LESS 3D Radiative
Transfer Model and Machine Learning Algorithms,
RS(16), No. 19, 2024, pp. 3627.
DOI Link
2410
BibRef
Zhang, J.[Jun],
Cheng, J.P.[Jin-Peng],
Liu, C.P.[Cui-Ping],
Wu, Q.[Qiang],
Xiong, S.P.[Shu-Ping],
Yang, H.[Hao],
Chang, S.L.[Sheng-Long],
Fu, Y.Y.[Yuan-Yuan],
Yang, M.[Mohan],
Zhang, S.Y.[Shi-Yu],
Yang, G.J.[Gui-Jun],
Ma, X.M.[Xin-Ming],
Enhanced Crop Leaf Area Index Estimation via Random Forest
Regression: Bayesian Optimization and Feature Selection Approach,
RS(16), No. 21, 2024, pp. 3917.
DOI Link
2411
BibRef
Yang, X.[Xi],
Shi, H.Y.[Han-Yu],
Xiao, Z.Q.[Zhi-Qiang],
Mapping Leaf Mass Per Area and Equivalent Water Thickness from PRISMA
and EnMAP,
RS(16), No. 21, 2024, pp. 4064.
DOI Link
2411
BibRef
Wang, L.J.[Li-Juan],
Zhang, G.[Guimin],
Lin, H.[Hui],
Liang, L.[Liang],
Niu, Z.[Zheng],
Estimation of leaf area index using an angular vegetation index based
on in situ measurements and Chris/proba data,
ISPRS16(B7: 121-128).
DOI Link
1610
BibRef
Woodgate, W.L.,
An Intercomparison Of Passive Terrestrial Remote Sensing Technologies
to Derive LAI and Canopy Cover Metrics,
ISPRS12(XXXIX-B8:457-462).
DOI Link
1209
BibRef
Zhao, J.,
Li, J.,
Liu, Q.,
Yang, L.,
A Preliminary Study on Mechanism of LAI Inversion Saturation,
ISPRS12(XXXIX-B1:77-81).
DOI Link
1209
BibRef
Colditz, R.R.[Rene R.],
Llamas, R.M.[Ricardo M.],
Generation of 250m MODIS LAI time series by temporal regression,
MultiTemp11(105-108).
IEEE DOI
1109
leaf area index
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Clumping Index, Measurement, Effects .