23.2.3 LAI, Leaf Area Index, Land Cover Analysis

Chapter Contents (Back)
Leaf Area Index. LAI.
See also Surface Fractional Vegetation Cover.
See also Leaf Nitrogen, Crop Nitrogen.

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
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Vegetation mapping, Indexes, Estimation, Agriculture, Remote sensing, Sensors, Temperature measurement, Leaf area index (LAI), vegetation index BibRef

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Yin, G., Cao, B., Li, J., Fan, W., Zeng, Y., Xu, B., Zhao, W.,
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Surface topography, Estimation, Computer simulation, Indexes, Uncertainty, Area measurement, Computer simulation, topographic effect BibRef

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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],
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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,
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Cui, L.[Lei], Jiao, Z.[Ziti], Zhao, K.[Kaiguang], Sun, M.[Mei], Dong, Y.D.[Ya-Dong], Yin, S.[Siyang], Li, Y.[Yang], Chang, Y.X.[Ya-Xuan], Guo, J.[Jing], Xie, R.[Rui], Zhu, Z.D.[Zi-Dong], Li, S.[Sijie],
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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],
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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.[Xinyao], 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


Yadav, V.P., Prasad, R., Bala, R., Vishwakarma, A.K., Yadav, S.A., Singh, S.K.,
A Comparison of Machine-learning Regression Algorithms for The Estimation of LAI Using Landsat-8 Satellite Data,
GGT19(679-683).
DOI Link 1912
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 .


Last update:Mar 16, 2024 at 20:36:19