Abstract
No public abstract is available from the verified source records.
Haoting Wang, Danni Wu, Shuai Fang, Guangqi Zhang, Qingda Chen, Shuangtian Li, Deliang Lu, Tian Gao, Yirong Sun, Sheng-I Yang, Jiaojun Zhu
Abstract
Authors
No local reference links have been materialized yet.
No local citing links have been materialized yet.
Analysis and prediction of gap dynamics in a secondary deciduous broadleaf forest of central Japan using airborne multi-LiDAR observations
10.3390/rs13010100 · 2021
10.1201/b19708
10.1201/b19708
spatstat: An R Package for Analyzing Spatial Point Patterns
10.18637/jss.v012.i06 · 2005
Forest disturbance and regeneration: A mosaic of discrete gap dynamics and open matrix regimes?
10.1111/jvs.12201 · 2014
The definition of treefall gap and its effect on measures of forest dynamics
10.2307/2387750 · 1982
Gap-Phase Regeneration in a Tropical Forest
10.2307/1940529 · 1985
Light regimes beneath closed canopies and tree-fall gaps in temperate and tropical forests
10.1139/x90-084 · 1990
Urban Forest Growth and Gap Dynamics Detected by Yearly Repeated Airborne Light Detection and Ranging (LiDAR): A Case Study of Cheonan, South Korea
10.3390/rs11131551 · 2019
Power-Law Distributions in Empirical Data
10.1137/070710111 · 2009
Light, temperature, and soil moisture responses to elevation, evergreen understory, and small canopy gaps in the southern Appalachians
Institutions
Provenance
crossref
Confidence 100%
ror
Confidence 99%
ror
Confidence 99%
openalex
Confidence 95%
datacite
Confidence 0%
10.1016/s0378-1127(03)00277-9 · 2003
Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates
10.1038/s41598-020-80809-w · 2021
Regeneration gap and microsite niche partitioning in a high alpine forest: Are Norway spruce seedlings more drought-tolerant than beech seedlings?
10.1016/j.foreco.2019.117688 · 2020
Canopy gaps in two virgin beech forest reserves in Slovakia
10.17221/4578-jfs · 2005
Leveraging Remote Sensing and Theory to Predict Tree Size Abundance Distributions Across Space
10.1111/geb.70085 · 2025
Deep learning-based canopy gap detection using a cross-technological approach with airborne laser scanning and aerial imagery data
10.1016/j.ecoinf.2025.103558 · 2026
Out of steady state: Tracking canopy gap dynamics across Brazilian Amazon
10.1111/btp.13226 · 2023
Light-Gap Disturbances, Recruitment Limitation, and Tree Diversity in a Neotropical Forest
10.1126/science.283.5401.554 · 1999
Small-scale disturbance and stand structure dynamics in an old-growth Picea abies forest over 54 yr in central Sweden
10.1111/jvs.12057 · 2014
Convergent structural responses of tropical forests to diverse disturbance regimes
10.1111/j.1461-0248.2009.01345.x · 2009
Gap expansion is the dominant driver of canopy openings in a temperate mountain forest landscape
10.1111/1365-2745.14320 · 2024
A forest gap is not forever: Towards an objective standard to determine when a gap is considered closed in temperate forests
10.1016/j.agrformet.2023.109598 · 2023
Disentangling regeneration by vertical stratification: A 17-year gap-filling process in a temperate secondary forest
10.1016/j.foreco.2023.120994 · 2023
Ontogeny, understorey light interception and simulated carbon gain of juvenile rainforest evergreens differing in shade tolerance
10.1093/aob/mcr166 · 2011
Convergent Iterative Closest-Point Algorithm to Accomodate Anisotropic and Inhomogenous Localization Error
10.1109/tpami.2011.248 · 2012
Gap regeneration and replacement patterns in an old-growth Fagus–Abies forest of Bosnia–Herzegovina
10.1007/s11258-009-9707-z · 2010
A general and simple method for obtaining R² from generalized linear mixed-effects models
10.1111/j.2041-210x.2012.00261.x · 2013
Identifying conifer mortality induced by Armillaria root disease using airborne lidar and orthoimagery in south central Oregon
10.1016/j.foreco.2022.120126 · 2022
From young to adult trees: How spatial patterns of plants with different life strategies change during age development in an old-growth Korean pine-broadleaved forest
10.1016/j.foreco.2018.01.023 · 2018
Machine Learning Techniques Applied to the Assessment of GPS Accuracy under the Forest Canopy
10.1061/(asce)su.1943-5428.0000049 · 2011
Unresolved referenced work
Kept as external metadata until matched
Forest disturbance and growth processes are reflected in the geographic distribution of large canopy gaps across the Brazilian Amazon
10.1111/1365-2745.14003 · 2022
Canopy gap patterns in Mediterranean forests: a spatio-temporal characterization using airborne LiDAR data
10.1007/s10980-023-01663-5 · 2023
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
10.1016/j.rse.2020.112061 · 2020
Patterns of Disturbance in Some Old-Growth Mesic Forests of Eastern North America
10.2307/1938878 · 1982
Methods for studying treefall gaps: A review
10.1016/j.foreco.2011.01.011 · 2011
Spatial aspects of structural complexity in Sitka spruce – western hemlock forests, including evaluation of a new canopy gap delineation method
10.1139/cjfr-2017-0029 · 2017
Describing forest canopy gaps efficiently, accurately, and objectively: New prospects through the use of terrestrial laser scanning
10.1016/j.agrformet.2015.06.006 · 2015
Tree death not resulting in gap creation: an investigation of canopy dynamics of northern temperate deciduous forests
10.3390/rs10010121 · 2018
Management implications of varying gap detection height thresholds and other canopy dynamics processes in temperate deciduous forests
10.1016/j.foreco.2017.12.029 · 2018
Do composition and richness of woody plants vary between gaps and closed canopy patches in subtropical forests?
10.1111/jvs.12445 · 2016
Regeneration and succession: a 50-year gap dynamic in temperate secondary forests, Northeast China
10.1016/j.foreco.2021.118943 · doi-reference
On the size of forest gaps: can their lower and upper limits be objectively defined?
10.1016/j.agrformet.2015.06.015 · doi-reference
Robust region feature extraction with salient MSER and segment distance-weighted GLOH for remote sensing image registration
10.1109/jstars.2023.3344474 · doi-reference
Improved progressive TIN densification filtering algorithm for airborne LiDAR data in forested areas
10.1016/j.isprsjprs.2016.03.016 · doi-reference
Forest gap dynamics and tree regeneration
10.1007/bf02767114 · doi-reference
Stratifying forest overstory for improving effective LAI estimation based on aerial imagery and discrete laser scanning data
10.3390/rs12132126 · doi-reference
Linking canopy gap features and microhabitat heterogeneity with seedling regeneration in a mixed coastal shelterbelt forest of eastern China
10.1016/j.foreco.2024.122259 · doi-reference
Post-logging canopy gap dynamics and forest regeneration assessed using airborne LiDAR time series in the brazilian amazon with attribution to gap types and origins
10.3390/rs16132319 · doi-reference
Comparison of airborne laser scanning and digital stereo imagery for characterizing forest canopy gaps in coastal temperate rainforests
10.1016/j.rse.2018.02.002 · doi-reference
Landscape-scale changes in forest canopy structure across a partially logged tropical peat swamp
10.5194/bg-12-6707-2015 · doi-reference
Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions
10.1080/15481603.2024.2396807 · doi-reference
Forest growth dynamics can be revealed using dual-temporal Terrestrial Laser Scanning — A case from plantation forests in northeastern China
10.1016/j.ufug.2025.129155 · doi-reference
Response of a boreal forest to canopy opening: Assessing vertical and lateral tree growth with multi-temporal lidar data
10.1890/09-0896.1 · doi-reference
Spatial contiguity and continuity of canopy gaps in mixed wood boreal forests: Persistence, expansion, shrinkage and displacement
10.1111/j.1365-2745.2012.01996.x · doi-reference
Structural Characteristics of Old-Growth Hemlock-Hardwood Forests in Relation to Age
10.2307/1939541 · doi-reference
Unveiling the complex canopy spatial structure of a Mediterranean old-growth beech (Fagus sylvatica L.) forest from UAV observations
10.1016/j.ecolind.2022.108807 · doi-reference
Do composition and richness of woody plants vary between gaps and closed canopy patches in subtropical forests?
10.1111/jvs.12445 · doi-reference
Management implications of varying gap detection height thresholds and other canopy dynamics processes in temperate deciduous forests
10.1016/j.foreco.2017.12.029 · doi-reference
Tree death not resulting in gap creation: an investigation of canopy dynamics of northern temperate deciduous forests
10.3390/rs10010121 · doi-reference
Describing forest canopy gaps efficiently, accurately, and objectively: New prospects through the use of terrestrial laser scanning
10.1016/j.agrformet.2015.06.006 · doi-reference
Spatial aspects of structural complexity in Sitka spruce – western hemlock forests, including evaluation of a new canopy gap delineation method
10.1139/cjfr-2017-0029 · doi-reference
Methods for studying treefall gaps: A review
10.1016/j.foreco.2011.01.011 · doi-reference
Patterns of Disturbance in Some Old-Growth Mesic Forests of Eastern North America
10.2307/1938878 · doi-reference
lidR: An R package for analysis of Airborne Laser Scanning (ALS) data
10.1016/j.rse.2020.112061 · doi-reference
Canopy gap patterns in Mediterranean forests: a spatio-temporal characterization using airborne LiDAR data
10.1007/s10980-023-01663-5 · doi-reference
Forest disturbance and growth processes are reflected in the geographic distribution of large canopy gaps across the Brazilian Amazon
10.1111/1365-2745.14003 · doi-reference
Machine Learning Techniques Applied to the Assessment of GPS Accuracy under the Forest Canopy
10.1061/(asce)su.1943-5428.0000049 · doi-reference
From young to adult trees: How spatial patterns of plants with different life strategies change during age development in an old-growth Korean pine-broadleaved forest
10.1016/j.foreco.2018.01.023 · doi-reference
Identifying conifer mortality induced by Armillaria root disease using airborne lidar and orthoimagery in south central Oregon
10.1016/j.foreco.2022.120126 · doi-reference
A general and simple method for obtaining R² from generalized linear mixed-effects models
10.1111/j.2041-210x.2012.00261.x · doi-reference
Gap regeneration and replacement patterns in an old-growth Fagus–Abies forest of Bosnia–Herzegovina
10.1007/s11258-009-9707-z · doi-reference
Convergent Iterative Closest-Point Algorithm to Accomodate Anisotropic and Inhomogenous Localization Error
10.1109/tpami.2011.248 · doi-reference
Ontogeny, understorey light interception and simulated carbon gain of juvenile rainforest evergreens differing in shade tolerance
10.1093/aob/mcr166 · doi-reference
Disentangling regeneration by vertical stratification: A 17-year gap-filling process in a temperate secondary forest
10.1016/j.foreco.2023.120994 · doi-reference
A forest gap is not forever: Towards an objective standard to determine when a gap is considered closed in temperate forests
10.1016/j.agrformet.2023.109598 · doi-reference
Gap expansion is the dominant driver of canopy openings in a temperate mountain forest landscape
10.1111/1365-2745.14320 · doi-reference
Convergent structural responses of tropical forests to diverse disturbance regimes
10.1111/j.1461-0248.2009.01345.x · doi-reference
Small-scale disturbance and stand structure dynamics in an old-growth Picea abies forest over 54 yr in central Sweden
10.1111/jvs.12057 · doi-reference
Light-Gap Disturbances, Recruitment Limitation, and Tree Diversity in a Neotropical Forest
10.1126/science.283.5401.554 · doi-reference
Out of steady state: Tracking canopy gap dynamics across Brazilian Amazon
10.1111/btp.13226 · doi-reference