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Developing GIS-Based Algorithm of Stand Spatial Structure Index and Its Implementation.
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- Forests (19994907), 2024, v. 15, n. 10, p. 1755, doi. 10.3390/f15101755
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- Article
Enhanced feature extraction network for small pedestrian detection in forest remote sensing images.
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- Journal of Forestry Engineering, 2024, v. 9, n. 4, p. 130, doi. 10.13360/j.issn.2096-1359.202309027
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- Article
Improving Estimation of Tree Parameters by Fusing ALS and TLS Point Cloud Data Based on Canopy Gap Shape Feature Points.
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- Drones (2504-446X), 2023, v. 7, n. 8, p. 524, doi. 10.3390/drones7080524
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- Article
Soil respiration and its environmental response varies by day/night and by growing/dormant season in a subalpine forest.
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- Scientific Reports, 2016, p. 37864, doi. 10.1038/srep37864
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- Article
Multilevel Nonlinear Mixed-Effect Crown Ratio Models for Individual Trees of Mongolian Oak (Quercus mongolica) in Northeast China.
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- PLoS ONE, 2015, v. 10, n. 8, p. 1, doi. 10.1371/journal.pone.0133294
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- Article
The comparison of the Bayesian method with the classical methods in modeling crown width for Prince Rupprecht larch in northern China.
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- Frontiers in Forests & Global Change, 2024, p. 1, doi. 10.3389/ffgc.2024.1405639
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- Article
Individual Tree Biomass Models to Estimate Forest Biomass for Large Spatial Regions Developed Using Four Pine Species in China.
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- Forest Science, 2017, v. 63, n. 3, p. 241, doi. 10.5849/FS-2016-055
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- Article
Development of novel EST‐SSR markers for Phyllanthus emblica (Phyllanthaceae) and cross‐amplification in two related species.
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- Applications in Plant Sciences, 2018, v. 6, n. 7, p. 1, doi. 10.1002/aps3.1169
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- Article
Quantifying the Variability of Internode Allometry within and between Trees for Pinus tabulaeformis Carr. Using a Multilevel Nonlinear Mixed-Effect Model.
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- Forests (19994907), 2014, v. 5, n. 11, p. 2825, doi. 10.3390/f5112825
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- Article
Tree Canopy Volume Extraction Fusing ALS and TLS Based on Improved PointNeXt.
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- Remote Sensing, 2024, v. 16, n. 14, p. 2641, doi. 10.3390/rs16142641
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- Article
Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data.
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- Remote Sensing, 2023, v. 15, n. 14, p. 3546, doi. 10.3390/rs15143546
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- Article
Aboveground Biomass Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods.
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- Remote Sensing, 2023, v. 15, n. 13, p. 3344, doi. 10.3390/rs15133344
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- Article
Estimating Fractional Vegetation Cover Changes in Desert Regions Using RGB Data.
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- Remote Sensing, 2022, v. 14, n. 15, p. 3833, doi. 10.3390/rs14153833
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- Article
Identification of the Yield of Camellia oleifera Based on Color Space by the Optimized Mean Shift Clustering Algorithm Using Terrestrial Laser Scanning.
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- Remote Sensing, 2022, v. 14, n. 3, p. 642, doi. 10.3390/rs14030642
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- Article
Performance and Sensitivity of Individual Tree Segmentation Methods for UAV-LiDAR in Multiple Forest Types.
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- Remote Sensing, 2022, v. 14, n. 2, p. 298, doi. 10.3390/rs14020298
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- Article
Tree Recognition on the Plantation Using UAV Images with Ultrahigh Spatial Resolution in a Complex Environment.
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- Remote Sensing, 2021, v. 13, n. 20, p. 4122, doi. 10.3390/rs13204122
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- Article
A Hybrid Approach of Combining Random Forest with Texture Analysis and VDVI for Desert Vegetation Mapping Based on UAV RGB Data.
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- Remote Sensing, 2021, v. 13, n. 10, p. 1891, doi. 10.3390/rs13101891
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- Article
Analysis of the Spatial Differences in Canopy Height Models from UAV LiDAR and Photogrammetry.
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- Remote Sensing, 2020, v. 12, n. 18, p. 2884, doi. 10.3390/rs12182884
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- Article
Prediction of Individual Tree Diameter and Height to Crown Base Using Nonlinear Simultaneous Regression and Airborne LiDAR Data.
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- Remote Sensing, 2020, v. 12, n. 14, p. 2238, doi. 10.3390/rs12142238
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- Article
Prediction of Individual Tree Diameter Using a Nonlinear Mixed-Effects Modeling Approach and Airborne LiDAR Data.
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- Remote Sensing, 2020, v. 12, n. 7, p. 1066, doi. 10.3390/rs12071066
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- Article
Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach.
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- Remote Sensing, 2019, v. 11, n. 9, p. 1050, doi. 10.3390/rs11091050
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- Article
Development of a System of Compatible Individual Tree Diameter and Aboveground Biomass Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data.
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- Remote Sensing, 2018, v. 10, n. 2, p. 325, doi. 10.3390/rs10020325
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- Article
How trees allocate carbon for optimal growth: insight from a game-theoretic model.
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- Briefings in Bioinformatics, 2018, v. 19, n. 4, p. 593, doi. 10.1093/bib/bbx003
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- Article
Comparing independent climate-sensitive models of aboveground biomass and diameter growth with their compatible simultaneous model system for three larch species in China.
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- International Journal of Biomathematics, 2019, v. 12, n. 7, p. N.PAG, doi. 10.1142/S1793524519500530
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- Article
Maximum likelihood estimation of nonlinear mixed-effects models with crossed random effects by combining first-order conditional linearization and sequential quadratic programming.
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- International Journal of Biomathematics, 2019, v. 12, n. 5, p. N.PAG, doi. 10.1142/S1793524519500402
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- Article
-step adaptive cluster sampling with Horvitz-Thompson estimator.
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- International Journal of Biomathematics, 2018, v. 11, n. 2, p. -1, doi. 10.1142/S1793524518500298
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- Article
Developing, testing and application of rodent population dynamics and capture models based on an adjusted Leslie matrix-based population approach.
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- International Journal of Biomathematics, 2014, v. 7, n. 3, p. -1, doi. 10.1142/S1793524514500247
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- Article
Improving the accuracy of tree biomass estimations for three coniferous tree species in Northeast China.
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- Trees: Structure & Function, 2022, v. 36, n. 1, p. 451, doi. 10.1007/s00468-021-02220-w
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- Article
Additive crown width models comprising nonlinear simultaneous equations for Prince Rupprecht larch ( Larix principis- rupprechtii) in northern China.
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- Trees: Structure & Function, 2017, v. 31, n. 6, p. 1959, doi. 10.1007/s00468-017-1600-0
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- Article
A climate-sensitive aboveground biomass model for three larch species in northeastern and northern China.
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- Trees: Structure & Function, 2017, v. 31, n. 2, p. 557, doi. 10.1007/s00468-016-1490-6
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- Article
Comparison of seemingly unrelated regressions with error-in-variable models for developing a system of nonlinear additive biomass equations.
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- Trees: Structure & Function, 2016, v. 30, n. 3, p. 839, doi. 10.1007/s00468-015-1325-x
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- Article
Study on Reproductive Biology of Rhododendron longipedicellatum: A Newly Discovered and Special Threatened Plant Surviving in Limestone Habitat in Southeast Yunnan, China.
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- Frontiers in Plant Science, 2018, p. 1, doi. 10.3389/fpls.2018.00033
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- Article
Response of Stand Spatial Structure to Nitrogen Addition in Deciduous Broad-Leaved Forest in Jigong Mountain.
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- Sustainability (2071-1050), 2024, v. 16, n. 12, p. 5137, doi. 10.3390/su16125137
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- Article
Relationship between Climate-Shaped Urbanization and Forest Ecological Function: A Case Study of the Yellow River Basin, China.
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- Land (2012), 2023, v. 12, n. 11, p. 2047, doi. 10.3390/land12112047
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- Article
Climate-sensitive tree height–diameter allometry for Chinese fir in southern China.
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- Forestry: An International Journal of Forest Research, 2019, v. 92, n. 2, p. 167, doi. 10.1093/forestry/cpy043
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- Article
Modelling the effects of topographic heterogeneity on distribution of Nitraria tangutorum Bobr. species in deserts using LiDAR-data.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-40678-5
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- Article
Modelling the effects of topographic heterogeneity on distribution of Nitraria tangutorum Bobr. species in deserts using LiDAR-data.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-40678-5
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- Article
Integrating regional climate change into allometric equations for estimating tree aboveground biomass of Masson pine in China.
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- Annals of Forest Science (BioMed Central), 2017, v. 74, n. 2, p. 1, doi. 10.1007/s13595-017-0636-z
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- Article
Determinants of Deadwood Biomass under the Background of Nitrogen and Water Addition in Warm Temperate Forests.
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- Forests (19994907), 2024, v. 15, n. 8, p. 1464, doi. 10.3390/f15081464
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- Article
Evaluating Forest Site Quality Using the Biomass Potential Productivity Approach.
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- Forests (19994907), 2024, v. 15, n. 1, p. 23, doi. 10.3390/f15010023
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- Article
Simulation of Thinning by Integrating Tree Competition and Species Biodiversity for Target Tree-Based Management of Secondary Forests.
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- Forests (19994907), 2023, v. 14, n. 9, p. 1896, doi. 10.3390/f14091896
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- Article
Simultaneous Compatible System of Models of Height, Crown Length, and Height to Crown Base for Natural Secondary Forests of Northeast China.
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- Forests (19994907), 2022, v. 13, n. 2, p. 148, doi. 10.3390/f13020148
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- Article
A Nonlinear Mixed-Effects Height-Diameter Model with Interaction Effects of Stand Density and Site Index for Larix olgensis in Northeast China.
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- Forests (19994907), 2021, v. 12, n. 11, p. 1460, doi. 10.3390/f12111460
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Method of Estimating Degraded Forest Area: Cases from Dominant Tree Species from Guangdong and Tibet in China.
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- Forests (19994907), 2020, v. 11, n. 9, p. 930, doi. 10.3390/f11090930
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- Article
Modeling Height–Diameter Relationship for Poplar Plantations Using Combined-Optimization Multiple Hidden Layer Back Propagation Neural Network.
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- Forests (19994907), 2020, v. 11, n. 4, p. 442, doi. 10.3390/f11040442
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- Article
Comparison of Different Height-Diameter Modelling Techniques for Prediction of Site Productivity in Natural Uneven-Aged Pure Stands.
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- Forests (19994907), 2018, v. 9, n. 2, p. 63, doi. 10.3390/f9020063
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A Basal Area Increment-Based Approach of Site Productivity Evaluation for Multi-Aged and Mixed Forests.
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- Forests (19994907), 2017, v. 8, n. 4, p. 119, doi. 10.3390/f8040119
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- Article
Developing an Improved Parameter Estimation Method for the Segmented Taper Equation through Combination of Constrained Two-Dimensional Optimum Seeking and Least Square Regression.
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- Forests (19994907), 2016, v. 7, n. 9, p. 194, doi. 10.3390/f7090194
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- Article
Integrating spaceborne LiDAR and Sentinel-2 images to estimate forest aboveground biomass in Northern China.
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- Carbon Balance & Management, 2022, v. 17, n. 1, p. 1, doi. 10.1186/s13021-022-00212-y
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- Article