{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T01:47:40Z","timestamp":1777859260976,"version":"3.51.4"},"reference-count":77,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.compag.2026.111619","type":"journal-article","created":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T14:09:34Z","timestamp":1772546974000},"page":"111619","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Retrieval of forest LAI using UAV 3D real scenes combined with satellite remote sensing: a case study of moso bamboo forests"],"prefix":"10.1016","volume":"246","author":[{"given":"Yinyin","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Xuejian","family":"Li","sequence":"additional","affiliation":[]},{"given":"Liyong","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Fangjie","family":"Mao","sequence":"additional","affiliation":[]},{"given":"Zihao","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Yuanqing","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Jiewen","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Siyu","family":"An","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6765-2279","authenticated-orcid":false,"given":"Huaqiang","family":"Du","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compag.2026.111619_b0005","first-page":"55","article-title":"Estimation of leaf area index with the Li-Cor LAI 2000 in deciduous forests","volume":"105","author":"Andrea","year":"1998","journal-title":"For. Ecol. Manage."},{"key":"10.1016\/j.compag.2026.111619_b0010","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.agrformet.2017.08.012","article-title":"On the relationship between continuous measures of canopy greenness derived using near-surface remote sensing and satellite-derived vegetation products","volume":"247","author":"Brown","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.compag.2026.111619_b0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2025.114797","article-title":"GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements[J]","volume":"326","author":"Brown","year":"2025","journal-title":"Remote Sens. Environ."},{"issue":"9","key":"10.1016\/j.compag.2026.111619_b0020","doi-asserted-by":"crossref","DOI":"10.1126\/sciadv.abc7447","article-title":"A unified vegetation index for quantifying the terrestrial biosphere","volume":"7","author":"Camps-Valls","year":"2021","journal-title":"Sci. Adv."},{"key":"10.1016\/j.compag.2026.111619_b0025","series-title":"Image and Vision Computing 110","article-title":"Camera pose estimation in multi-view environments: from virtual scenarios to the real world","author":"Charco","year":"2021"},{"key":"10.1016\/j.compag.2026.111619_b0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109790","article-title":"Enhancing LAI estimation using multispectral imagery and machine learning: a comparison between reflectance-based and vegetation indices-based approaches[J]","volume":"230","author":"Chatterjee","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0035","first-page":"98","article-title":"Preliminary Study on Density effect of Mao Bamboo Plantation","volume":"1","author":"Chen","year":"1992","journal-title":"Journal of Forest and Environment"},{"key":"10.1016\/j.compag.2026.111619_b0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110126","article-title":"Common pitfalls in evaluating model performance and strategies for avoidance in agricultural studies[J]","volume":"234","author":"Chen","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0045","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/0168-1923(92)90040-B","article-title":"Foliage area and architecture of plant canopies from sunfleck size distributions","volume":"60","author":"Chen","year":"1992","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.compag.2026.111619_b0050","doi-asserted-by":"crossref","first-page":"29429","DOI":"10.1029\/97JD01107","article-title":"Leaf area index of boreal forests: Theory, techniques, and measurements","volume":"102","author":"Chen","year":"1997","journal-title":"J. Geophys. Res. Atmos."},{"key":"10.1016\/j.compag.2026.111619_b0055","series-title":"In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"785","article-title":"XGBoost: a scalable tree boosting system","author":"Chen","year":"2016"},{"key":"10.1016\/j.compag.2026.111619_b0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110964","article-title":"Evaluation of the random forest regression machine learning technique as an alternative to ecoregional based regression taper modelling[J]","volume":"239","author":"Diamantopoulou","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0065","first-page":"63","article-title":"Estimating winter wheat biomass by assimilating leaf area index derived from fusion of Landsat-8 and MODIS data","volume":"49","author":"Dong","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.compag.2026.111619_b0070","doi-asserted-by":"crossref","first-page":"4328","DOI":"10.1109\/TGRS.2011.2107327","article-title":"Retrieval of Canopy Closure and LAI of Moso Bamboo Forest using Spectral Mixture Analysis based on real Scenario simulation","volume":"49","author":"Du","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0075","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.5194\/essd-12-1101-2020","article-title":"A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity","volume":"12","author":"Duveiller","year":"2020","journal-title":"Earth Syst. Sci. Data"},{"key":"10.1016\/j.compag.2026.111619_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2024.114060","article-title":"Evidence of a bias-variance trade off when correcting for bias in Sentinel 2 forest LAI retrievals using radiative transfer models","volume":"305","author":"Fernandes","year":"2024","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111619_b0085","doi-asserted-by":"crossref","unstructured":"Frueh, C., Sammon, R., Zakhor, A., 2004. Automated texture mapping of 3D city models with oblique aerial imagery, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004., pp. 396-403.","DOI":"10.1109\/TDPVT.2004.1335266"},{"key":"10.1016\/j.compag.2026.111619_b0090","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.111024","article-title":"Geometry-based point cloud fusion of dual-layer UAV photogrammetry and a modified unsupervised generative adversarial network for 3D tree reconstruction in semi-arid forests[J]","volume":"239","author":"Ghasemi","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0095","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1016\/j.scitotenv.2019.01.146","article-title":"Mapping the geogenic radon potential and radon risk by using Empirical Bayesian Kriging regression: a case study from a volcanic area of central Italy","volume":"661","author":"Giustini","year":"2019","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.compag.2026.111619_b0100","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.rse.2012.07.006","article-title":"Forest biomass estimation from airborne LiDAR data using machine learning approaches","volume":"125","author":"Gleason","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111619_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.137290","article-title":"Empirical Bayesian kriging implementation and usage","volume":"722","author":"Gribov","year":"2020","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.compag.2026.111619_b0110","doi-asserted-by":"crossref","first-page":"5270","DOI":"10.1080\/01431161.2016.1239287","article-title":"Global sensitivity analysis of PROSAIL model parameters when simulating Moso bamboo forest canopy reflectance","volume":"37","author":"Gu","year":"2016","journal-title":"Int. J. Remote Sens."},{"issue":"1","key":"10.1016\/j.compag.2026.111619_b0115","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1023\/A:1012487302797","article-title":"Gene selection for cancer classification using support vector machines","volume":"46","author":"Guyon","year":"2002","journal-title":"Mach. Learn."},{"key":"10.1016\/j.compag.2026.111619_b0120","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1109\/PROC.1979.11328","article-title":"Statistical and structural approaches to texture","volume":"67","author":"Haralick","year":"1979","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.compag.2026.111619_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.107723","article-title":"Leaf area index estimation of pergola-trained vineyards in arid regions using classical and deep learning methods based on UAV-based RGB images","volume":"207","author":"Ilniyaz","year":"2023","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0130","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.copbio.2020.09.003","article-title":"The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems","volume":"70","author":"Jung","year":"2021","journal-title":"Curr. Opin. Biotechnol."},{"key":"10.1016\/j.compag.2026.111619_b0135","article-title":"Remote sensing image fusion on 3D scenarios: a review of applications for agriculture and forestry","volume":"112","author":"Jurado","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.compag.2026.111619_b0140","series-title":"IGARSS '92 International Geoscience and Remote Sensing Symposium","first-page":"1238","article-title":"Atmospheric Effects on the Ndvi - strategies for its Removal, [Proceedings]","author":"Kaufman","year":"1992"},{"key":"10.1016\/j.compag.2026.111619_b0145","doi-asserted-by":"crossref","first-page":"1439","DOI":"10.1109\/LGRS.2013.2259793","article-title":"Retrieval of Savanna Vegetation Canopy Height from ICESat-GLAS Spaceborne LiDAR with Terrain Correction","volume":"10","author":"Khalefa","year":"2013","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.compag.2026.111619_b0155","article-title":"Simulation-driven 3D forest growth forecasting based on airborne topographic LiDAR data and shading","volume":"111","author":"Kohek","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.compag.2026.111619_b0160","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.agrformet.2012.01.004","article-title":"Canopy conductance for a Moso bamboo (Phyllostachys pubescens) forest in western Japan","volume":"156","author":"Komatsu","year":"2012","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.compag.2026.111619_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.spasta.2019.100368","article-title":"Evaluation of empirical Bayesian kriging","volume":"32","author":"Krivoruchko","year":"2019","journal-title":"Spatial Stat."},{"key":"10.1016\/j.compag.2026.111619_b0170","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.rse.2013.10.026","article-title":"Improving the accuracy of rainfall rates from optical satellite sensors with machine learning \u2014 a random forests-based approach applied to MSG SEVIRI","volume":"141","author":"K\u00fchnlein","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111619_b0175","doi-asserted-by":"crossref","first-page":"3846","DOI":"10.1016\/j.rse.2008.06.005","article-title":"Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass","volume":"112","author":"Lemaire","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111619_b0180","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Leo","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.compag.2026.111619_b0185","first-page":"575","article-title":"Hyperspectral Remote Sensing Estimation and Spatial Scale effect of Leaf Area Index in Moso Bamboo (Phyllostachys pubescens) Forests under the stress of Pantana phyllostachysae","volume":"Forests, 16","author":"Li","year":"2025","journal-title":"Chao"},{"key":"10.1016\/j.compag.2026.111619_b0190","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1016\/j.isprsjprs.2023.05.012","article-title":"RSARE: a physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background[J]","volume":"200","author":"Li","year":"2023","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0195","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1016\/j.agrformet.2018.04.002","article-title":"Estimating bamboo forest aboveground biomass using EnKF-assimilated MODIS LAI spatiotemporal data and machine learning algorithms","volume":"256\u2013257","author":"Li","year":"2018","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.compag.2026.111619_b0200","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.isprsjprs.2021.01.018","article-title":"Phenology estimation of subtropical bamboo forests based on assimilated MODIS LAI time series data","volume":"173","author":"Li","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0205","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.isprsjprs.2017.02.002","article-title":"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","volume":"126","author":"Li","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0210","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.isprsjprs.2024.01.018","article-title":"High completeness multi-view stereo for dense reconstruction of large-scale urban scenes","volume":"209","author":"Liao","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"11","key":"10.1016\/j.compag.2026.111619_b0215","doi-asserted-by":"crossref","first-page":"1849","DOI":"10.3390\/rs10111849","article-title":"Aboveground tree Biomass Estimation of Sparse Subalpine Coniferous Forest with UAV Oblique Photography","volume":"10","author":"Lin","year":"2018","journal-title":"Remote Sens. (Basel)"},{"issue":"4","key":"10.1016\/j.compag.2026.111619_b0220","doi-asserted-by":"crossref","first-page":"803","DOI":"10.3390\/rs13040803","article-title":"UAV based Estimation of Forest Leaf Area Index (LAI) through Oblique Photogrammetry","volume":"13","author":"Lin","year":"2021","journal-title":"Remote Sens. (Basel)"},{"key":"10.1016\/j.compag.2026.111619_b0225","article-title":"UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background","volume":"121","author":"Liu","year":"2023","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.compag.2026.111619_b0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.108685","article-title":"Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics","volume":"218","author":"Liu","year":"2024","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0235","doi-asserted-by":"crossref","first-page":"11915","DOI":"10.1109\/JSTARS.2024.3422390","article-title":"UAV-Based Intelligent Detection of Individual Trees in Moso Bamboo Forests with complex Canopy Structure","volume":"17","author":"Lv","year":"2024","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0240","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.jenvman.2015.12.013","article-title":"Development of the BIOME-BGC model for the simulation of managed Moso bamboo forest ecosystems","volume":"172","author":"Mao","year":"2016","journal-title":"J. Environ. Manage."},{"key":"10.1016\/j.compag.2026.111619_b0245","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.108818","article-title":"A variable weight combination prediction model for climate in a greenhouse based on BiGRU-Attention and LightGBM[J]","volume":"219","author":"Mao","year":"2024","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0250","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/0378-1127(93)90192-P","article-title":"Estimation of tree canopy leaf area index by gap fraction analysis","volume":"61","author":"Martens","year":"1993","journal-title":"For. Ecol. Manage."},{"key":"10.1016\/j.compag.2026.111619_b0255","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1080\/01431169608948714","article-title":"The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features","volume":"17","author":"McFeeters","year":"1996","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0260","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1137\/080732730","article-title":"ASIFT: a New Framework for fully Affine Invariant image Comparison","volume":"2","author":"Morel","year":"2009","journal-title":"SIAM J. Imag. Sci."},{"key":"10.1016\/j.compag.2026.111619_b0265","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.rse.2015.04.027","article-title":"Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery","volume":"165","author":"Pasolli","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.compag.2026.111619_b0270","article-title":"Leaf area index estimation using top-of-canopy airborne RGB images","volume":"96","author":"Raj","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.compag.2026.111619_b0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2022.107017","article-title":"Drones in agriculture: a review and bibliometric analysis","volume":"198","author":"Rejeb","year":"2022","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0280","doi-asserted-by":"crossref","unstructured":"Revill, A.; Florence, A.; MacArthur, A.; Hoad, S.; Rees, R.; Williams, M. Quantifying Uncertainty and Bridging the Scaling Gap in the Retrieval of Leaf Area Index by Coupling Sentinel-2 and UAV Observations. 2020 Remote Sens. 12, 1843.","DOI":"10.3390\/rs12111843"},{"key":"10.1016\/j.compag.2026.111619_b0285","doi-asserted-by":"crossref","unstructured":"Santoro, M., Cartus, O., Wegm\u00fcller, U., Besnard, S., Carvalhais, N., Araza, A., Herold, M., Liang, J., Cavlovic, J., Engdahl, M.E., 2022. Global estimation of above-ground biomass from spaceborne C-band scatterometer observations aided by LiDAR metrics of vegetation structure. Remote Sensing of Environment 279.","DOI":"10.1016\/j.rse.2022.113114"},{"key":"10.1016\/j.compag.2026.111619_b0290","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s11263-007-0107-3","article-title":"Modeling the World from Internet Photo Collections","volume":"80","author":"Snavely","year":"2007","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.compag.2026.111619_b0295","doi-asserted-by":"crossref","first-page":"1471","DOI":"10.1016\/j.ecolmodel.2011.02.007","article-title":"Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy","volume":"222","author":"Vincenzi","year":"2011","journal-title":"Ecol. Model."},{"issue":"1","key":"10.1016\/j.compag.2026.111619_b0300","doi-asserted-by":"crossref","first-page":"9259","DOI":"10.1038\/s41467-025-64305-1","article-title":"Vegetation cover change as a growing driver of global leaf area index dynamics[J]","volume":"16","author":"Wang","year":"2025","journal-title":"Nat. Commun."},{"key":"10.1016\/j.compag.2026.111619_b0305","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.foreco.2016.02.037","article-title":"The independence of clonal shoot\u2019s growth from light availability supports moso bamboo invasion of closed-canopy forest","volume":"368","author":"Wang","year":"2016","journal-title":"For. Ecol. Manage."},{"key":"10.1016\/j.compag.2026.111619_b0310","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/j.cag.2023.08.017","article-title":"An attention-based and deep sparse priori cascade multi-view stereo network for 3D reconstruction","volume":"116","author":"Wang","year":"2023","journal-title":"Comput. Graph."},{"key":"10.1016\/j.compag.2026.111619_b0315","first-page":"573","volume":"154","author":"Wu","year":"2019","journal-title":"Adaptive Wide-Lens Distortion Correction Based on Piecewise Polynomial Optimization."},{"key":"10.1016\/j.compag.2026.111619_b0320","doi-asserted-by":"crossref","first-page":"57","DOI":"10.5721\/EuJRS20164904","article-title":"Method for improvement of MODIS leaf area index products based on pixel-to-pixel correlations","volume":"49","author":"Xu","year":"2017","journal-title":"European Journal of Remote Sensing"},{"key":"10.1016\/j.compag.2026.111619_b0325","doi-asserted-by":"crossref","DOI":"10.1016\/j.agrformet.2024.110299","article-title":"The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables[J]","volume":"360","author":"Xu","year":"2025","journal-title":"Agric. For. Meteorol."},{"key":"10.1016\/j.compag.2026.111619_b0330","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.107627","article-title":"Estimating vertically growing crop above-ground biomass based on UAV remote sensing","volume":"205","author":"Yue","year":"2023","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0335","doi-asserted-by":"crossref","first-page":"1385","DOI":"10.1080\/01431160802395276","article-title":"Quantitative forest canopy structure assessment using an inverted geometric\u2010optical model and up\u2010scaling","volume":"30","author":"Zeng","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0340","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s11263-022-01697-3","article-title":"Vis-MVSNet: Visibility-Aware Multi-view Stereo Network","volume":"131","author":"Zhang","year":"2022","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.compag.2026.111619_b0345","doi-asserted-by":"crossref","first-page":"3068","DOI":"10.3390\/rs15123068","article-title":"AM\u2013GM Algorithm for evaluating, Analyzing, and Correcting the Spatial Scaling Bias of the Leaf Area Index","volume":"15","author":"Zhang","year":"2023","journal-title":"Remote Sens."},{"key":"10.1016\/j.compag.2026.111619_b0350","article-title":"Leaf area index retrieval with ICESat-2 photon counting LiDAR","volume":"103","author":"Zhang","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"4","key":"10.1016\/j.compag.2026.111619_b0355","doi-asserted-by":"crossref","first-page":"705","DOI":"10.3390\/rs16040705","article-title":"UAV-LiDAR Integration with Sentinel-2 Enhances Precision in AGB Estimation for Bamboo Forests","volume":"16","author":"Zhang","year":"2024","journal-title":"Remote Sens. (Basel)"},{"key":"10.1016\/j.compag.2026.111619_b0360","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.isprsjprs.2016.03.016","article-title":"Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas","volume":"117","author":"Zhao","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"issue":"04","key":"10.1016\/j.compag.2026.111619_b0365","first-page":"560","article-title":"Spatial distribution for leaf area index and canopy closure of Phyllostachys edulis stand using Cokriging","volume":"31","author":"Zhao","year":"2014","journal-title":"Journal of Zhejiang a&f University"},{"issue":"7","key":"10.1016\/j.compag.2026.111619_b0370","doi-asserted-by":"crossref","first-page":"455","DOI":"10.3390\/drones7070455","article-title":"Urban Forest Above-Ground Biomass Estimation based on UAV 3D Real Scene","volume":"7","author":"Zhao","year":"2023","journal-title":"Drones"},{"key":"10.1016\/j.compag.2026.111619_b0375","first-page":"16","article-title":"Studies on the structure of culm form of phyllostachys pubescens","volume":"1","author":"Zhou","year":"1981","journal-title":"Journal of Nanjing Forestry University (natural Science Edition)"},{"key":"10.1016\/j.compag.2026.111619_b0380","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1007\/s12229-011-9082-z","article-title":"Review of Carbon Fixation in Bamboo Forests in China","volume":"77","author":"Zhou","year":"2011","journal-title":"Bot. Rev."},{"key":"10.1016\/j.compag.2026.111619_b0385","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2023.107910","article-title":"Quantitative estimation of organ-scale phenotypic parameters of field crops through 3D modeling using extremely low altitude UAV images[J]","volume":"210","author":"Zhu","year":"2023","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.111619_b0390","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.108821","article-title":"Assessing radiometric calibration methods for multispectral UAV imagery and the influence of illumination, flight altitude and flight time on reflectance, vegetation index and inversion of winter wheat AGB and LAI","volume":"219","author":"Zhu","year":"2024","journal-title":"Comput. Electron. Agric."}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926002140?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926002140?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T00:28:03Z","timestamp":1777508883000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169926002140"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":77,"alternative-id":["S0168169926002140"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2026.111619","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Retrieval of forest LAI using UAV 3D real scenes combined with satellite remote sensing: a case study of moso bamboo forests","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2026.111619","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"111619"}}