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Forest, Crop and Grassland Leaf Area Index Estimation Using Remote Sensing: A Review of Current Research Methods, Sensors, Estimation Models and Accomplishments

https://doi.org/10.3390/app13064005
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11119-012-9295-0openalex-snapshot
Leaf area index estimation in vineyards using a ground-based LiDAR scanner
inferredcites →https://doi.org/10.1007/s11119-019-09648-8openalex-snapshot
An optimized non-linear vegetation index for estimating leaf area index in winter wheat
inferredcites →https://doi.org/10.1007/s11434-012-5064-8openalex-snapshot
Spatial and temporal variations of forest LAI in China during 2000–2010
inferredcites →https://doi.org/10.1007/s11676-018-0617-6openalex-snapshot
Estimation of leaf area index from high resolution ZY-3 satellite imagery in a catchment dominated by Larix principis-rupprechtii, northern China
inferredcites →https://doi.org/10.1016/0034-4257(74)90046-7openalex-snapshot
Wheat: its growth and disease severity as deduced from ERTS-1
inferredcites →https://doi.org/10.1016/0034-4257(90)90100-zopenalex-snapshot
PROSPECT: A model of leaf optical properties spectra
inferredcites →https://doi.org/10.1016/j.agrformet.2015.03.008openalex-snapshot
Terrestrial lidar remote sensing of forests: Maximum likelihood estimates of canopy profile, leaf area index, and leaf angle distribution
inferredcites →https://doi.org/10.1016/j.agrformet.2018.11.033openalex-snapshot
Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
inferredcites →https://doi.org/10.1016/j.asr.2012.11.015openalex-snapshot
Using vegetation indices and texture measures to estimate vegetation fractional coverage (VFC) of planted and natural forests in Nanjing city, China
inferredcites →https://doi.org/10.1016/j.chemolab.2004.01.002openalex-snapshot
Comparing support vector machines to PLS for spectral regression applications
inferredcites →https://doi.org/10.1016/j.foreco.2009.05.036openalex-snapshot
Improving predictions of forest growth using the 3-PGS model with observations made by remote sensing
inferredcites →https://doi.org/10.1016/j.foreco.2019.03.030openalex-snapshot
Developing a two-step algorithm to estimate the leaf area index of forests with complex structures based on CHRIS/PROBA data
inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.05.017openalex-snapshot
Evaluation of seasonal variations of remotely sensed leaf area index over five evergreen coniferous forests
inferredcites →https://doi.org/10.1016/j.jag.2016.10.002openalex-snapshot
A radiative transfer model-based method for the estimation of grassland aboveground biomass
inferredcites →https://doi.org/10.1016/j.jag.2017.05.002openalex-snapshot
Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest
inferredcites →https://doi.org/10.1016/j.jag.2017.10.012openalex-snapshot
Improved estimation of leaf area index and leaf chlorophyll content of a potato crop using multi-angle spectral data – potential of unmanned aerial vehicle imagery
inferredcites →https://doi.org/10.1016/j.rse.2010.08.030openalex-snapshot
Measuring effective leaf area index, foliage profile, and stand height in New England forest stands using a full-waveform ground-based lidar
inferredcites →https://doi.org/10.1016/j.rse.2010.09.012openalex-snapshot
Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with CHRIS/PROBA observations
inferredcites →https://doi.org/10.1016/j.rse.2010.10.004openalex-snapshot
Leaf area index estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations
inferredcites →https://doi.org/10.1016/j.rse.2010.11.010openalex-snapshot
Improved forest biomass estimates using ALOS AVNIR-2 texture indices
inferredcites →https://doi.org/10.1016/j.rse.2011.11.002openalex-snapshot
Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
inferredcites →https://doi.org/10.1016/j.rse.2015.04.032openalex-snapshot
Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
inferredcites →https://doi.org/10.1016/j.rse.2016.10.009openalex-snapshot
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
inferredcites →https://doi.org/10.1016/s0022-4073(01)00007-3openalex-snapshot
A two-layer canopy reflectance model
inferredcites →https://doi.org/10.1016/s2095-3119(15)61073-5openalex-snapshot
Estimating the crop leaf area index using hyperspectral remote sensing
inferredcites →https://doi.org/10.1080/0143116031000115166openalex-snapshot
DART: a 3D model for simulating satellite images and studying surface radiation budget
inferredcites →https://doi.org/10.1080/01431160410001680400openalex-snapshot
Measurement and comparison of Leaf Area Index estimators derived from satellite remote sensing techniques
inferredcites →https://doi.org/10.1080/01431160701268947openalex-snapshot
Estimating structural and biochemical parameters for grassland from spectroradiometer data by radiative transfer modelling (PROSPECT+SAIL)
inferredcites →https://doi.org/10.1080/01431161.2010.498454openalex-snapshot
Leaf area index estimation of bamboo forest in Fujian province based on IRS P6 LISS 3 imagery
inferredcites →https://doi.org/10.1080/01431161.2010.527392openalex-snapshot
Extracting structural attributes from IKONOS imagery for Eucalyptus plantation forests in KwaZulu-Natal, South Africa, using image texture analysis and artificial neural networks
inferredcites →https://doi.org/10.1080/01431161.2010.550642openalex-snapshot
A dynamic Bayesian network data fusion algorithm for estimating leaf area index using time-series data from in situ measurement to remote sensing observations
inferredcites →https://doi.org/10.1080/01431161.2013.866289openalex-snapshot
A comparison of three methods for estimating the LAI of black locust (Robinia pseudoacacia L.) plantations on the Loess Plateau, China
inferredcites →https://doi.org/10.1080/07038992.2015.1102629openalex-snapshot
Estimating Leaf Area Index by Bayesian Linear Regression Using Terrestrial LiDAR, LAI-2200 Plant Canopy Analyzer, and Landsat TM Spectral Indices
inferredcites →https://doi.org/10.1080/07038992.2019.1641401openalex-snapshot
Leaf Area Index Estimation in a Heterogeneous Grassland Using Optical, SAR, and DEM Data
inferredcites →https://doi.org/10.1080/22797254.2018.1521250openalex-snapshot
Above-ground biomass estimation for Quercus rotundifolia using vegetation indices derived from high spatial resolution satellite images
inferredcites →https://doi.org/10.1109/igarss.2009.5417965openalex-snapshot
Deriving indices of landscape function from spectral reflectance of grassland and savanna on gold mines in South Africa
inferredcites →https://doi.org/10.1109/igarss.2019.8897949openalex-snapshot
Validation of MODIS and GEOV2 Leaf Area Index (LAI) Products over Croplands in Northeastern China
inferredcites →https://doi.org/10.1109/jstars.2017.2765890openalex-snapshot
Comparative Performances of Airborne LiDAR Height and Intensity Data for Leaf Area Index Estimation
inferredcites →https://doi.org/10.1109/lgrs.2013.2278782openalex-snapshot
Retrieving Leaf Area Index From Landsat Using MODIS LAI Products and Field Measurements
inferredcites →https://doi.org/10.1109/tgrs.1985.289389openalex-snapshot
Geometric-Optical Modeling of a Conifer Forest Canopy
inferredcites →https://doi.org/10.1109/tgrs.2010.2071416openalex-snapshot
Inversion of a Radiative Transfer Model for Estimating Forest LAI From Multisource and Multiangular Optical Remote Sensing Data
inferredcites →https://doi.org/10.1117/1.3594171openalex-snapshot
Estimation of forest canopy leaf area index using MODIS, MISR, and LiDAR observations
inferredcites →https://doi.org/10.1175/bams-d-18-0341.1openalex-snapshot
The Global Land Surface Satellite (GLASS) Product Suite
inferredcites →https://doi.org/10.1177/0309133312471367openalex-snapshot
Optical remote sensing of forest leaf area index and biomass
inferredcites →https://doi.org/10.11834/jrs.20110395openalex-snapshot
Retrieving crop fractional cover and LAI based on airborne Lidar data
inferredcites →https://doi.org/10.1191/0309133303pp360raopenalex-snapshot
LiDAR remote sensing of forest structure
inferredcites →https://doi.org/10.1201/b15159openalex-snapshot
Remote Sensing of Natural Resources
inferredcites →https://doi.org/10.1641/0006-3568(2004)054[0511:hsrrsd]2.0.co;2openalex-snapshot
High Spatial Resolution Remotely Sensed Data for Ecosystem Characterization
inferredcites →https://doi.org/10.1890/13-1574.1openalex-snapshot
Aboveground biomass mapping of African forest mosaics using canopy texture analysis: toward a regional approach
inferredcites →https://doi.org/10.3390/rs11050572openalex-snapshot
Retrieving Corn Canopy Leaf Area Index from Multitemporal Landsat Imagery and Terrestrial LiDAR Data
inferredcites →https://doi.org/10.3390/rs11060671openalex-snapshot
Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model
inferredcites →https://doi.org/10.3390/rs11060689openalex-snapshot
Estimating the Seasonal Dynamics of the Leaf Area Index Using Piecewise LAI-VI Relationships Based on Phenophases
inferredcites →https://doi.org/10.3390/rs11151763openalex-snapshot
Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation
inferredcites →https://doi.org/10.3390/rs11232749openalex-snapshot
A Statistical Forest Reflectance Model
inferredcites →https://doi.org/10.3390/rs12182934openalex-snapshot
Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions
inferredcites →https://doi.org/10.3390/rs12203457openalex-snapshot
Estimation of LAI with the LiDAR Technology: A Review
inferredcites →https://doi.org/10.3390/rs5062639openalex-snapshot
Investigating the Utility of Wavelet Transforms for Inverting a 3-D Radiative Transfer Model Using Hyperspectral Data to Retrieve Forest LAI
inferredcites →https://doi.org/10.3390/rs5073280openalex-snapshot
Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model
inferredcites →https://doi.org/10.3390/rs8040324openalex-snapshot
Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms
inferredcites →https://doi.org/10.3390/rs9010055openalex-snapshot
Estimating Biomass of Native Grass Grown under Complex Management Treatments Using WorldView-3 Spectral Derivatives
inferredcites →https://doi.org/10.3390/rs9050488openalex-snapshot
Estimation and Mapping of Winter Oilseed Rape LAI from High Spatial Resolution Satellite Data Based on a Hybrid Method
inferredcites →https://doi.org/10.3390/s90402719openalex-snapshot
Retrieving Leaf Area Index (LAI) Using Remote Sensing: Theories, Methods and Sensors
inferredcites →https://doi.org/10.5721/eujrs20164905openalex-snapshot
Accuracy of tree geometric parameters depending on the LiDAR data density
inferredcites →https://doi.org/10.7287/peerj.preprints.913v1openalex-snapshot
Relationships of NDVI, Biomass, and Leaf Area Index (LAI) for six key plant species in Barrow, Alaska

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4788708openalex-extracted
Lair: An R Package to Estimate Lai from Ndvi Data
inferred← citeshttps://doi.org/10.1007/978-3-032-30491-9_36openalex-snapshot
Enhanced Architecture for Non-destructive Leaf Area Estimation Based on a Semantic Segmentation Network
inferred← citeshttps://doi.org/10.1007/s11084-026-09746-4openalex-snapshot
An image-driven deep learning framework for proxy-based weed-impact assessment and crop-risk analysis
inferred← citeshttps://doi.org/10.1007/s40808-026-02881-xopenalex-snapshot
Estimation of fine resolution LAI for forest ecosystems using Landsat reflectance and machine learning algorithms
inferred← citeshttps://doi.org/10.1016/j.softx.2024.101776openalex-snapshot
LAIr: an R package to estimate LAI from Normalized Difference Vegetation Index
inferred← citeshttps://doi.org/10.1080/19479832.2026.2695140openalex-snapshot
Flue-cured tobacco yield prediction by fusion of UAV LiDAR point cloud, orthophoto and leaf area density
inferred← citeshttps://doi.org/10.3390/agronomy16090875openalex-snapshot
Prediction of Apple Canopy Leaf Area Index Based on Near-Infrared Spectroscopy and Machine Learning
inferred← citeshttps://doi.org/10.3390/f15111871openalex-snapshot
Influence of Terrain on MODIS and GLASS Leaf Area Index (LAI) Products in Qinling Mountains Forests
inferred← citeshttps://doi.org/10.3390/rs18132214openalex-snapshot
A Two-Stage Reference-Guided Workflow for Improving VIIRS Leaf Area Index Retrieval over Mixed Pixels
inferred← citeshttps://doi.org/10.3390/rs18172977openalex-snapshot
A Terrain-Corrected Vegetation Index Strategy for Improving Leaf Area Index Estimation in Mountainous Areas
inferred← citeshttps://doi.org/10.47743/pesd2023172014openalex-snapshot
Monitoring the vegetation coverage of the grasslands in the Poiana Ruscă Mountains using different remote sensing indices
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