Non-intersecting leaf insertion algorithm for tree structure models
暂无分享,去创建一个
Markku Åkerblom | Rachel Gaulton | Mikko Kaasalainen | Pasi Raumonen | Eric Casella | Mathias I Disney | F Mark Danson | Lucy A Schofield
[1] Jari Perttunen,et al. LIGNUM: a model combining the structure and the functioning of trees , 1998 .
[2] Heinrich Spiecker,et al. SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds , 2015 .
[3] Markku Åkerblom,et al. Data-based stochastic modeling of tree growth and structure formation , 2015 .
[4] Philip Lewis,et al. 3D modelling of forest canopy structure for remote sensing simulations in the optical and microwave domains , 2006 .
[5] Lee A. Vierling,et al. Use of a ground‐based scanning lidar for estimation of biophysical properties of western larch (Larix occidentalis) , 2007 .
[6] Richard A. Fournier,et al. Estimation of 3D vegetation density with Terrestrial Laser Scanning data using voxels. A sensitivity analysis of influencing parameters , 2017 .
[7] J. Ross. The radiation regime and architecture of plant stands , 1981, Tasks for vegetation sciences 3.
[8] Karl J Niklas,et al. THE ROLE OF PHYLLOTACTIC PATTERN AS A “DEVELOPMENTAL CONSTRAINT” ON THE INTERCEPTION OF LIGHT BY LEAF SURFACES , 1988, Evolution; international journal of organic evolution.
[9] Guang Zheng,et al. Improved Salient Feature-Based Approach for Automatically Separating Photosynthetic and Nonphotosynthetic Components Within Terrestrial Lidar Point Cloud Data of Forest Canopies , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[10] Simon D. Jones,et al. An improved theoretical model of canopy gap probability for Leaf Area Index estimation in woody ecosystems , 2015 .
[11] Philip Lewis,et al. Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data , 2013, Remote. Sens..
[12] M I Disney,et al. Weighing trees with lasers: advances, challenges and opportunities , 2018, Interface Focus.
[13] Eric Casella,et al. Botanical determinants of foliage clumping and light interception in two-year-old coppice poplar canopies: assessment from 3-D plant mockups , 2007, Annals of Forest Science.
[14] D. Baldocchi,et al. On seeing the wood from the leaves and the role of voxel size in determining leaf area distribution of forests with terrestrial LiDAR , 2014 .
[15] Hervé Sinoquet,et al. A method for describing the canopy architecture of coppice poplar with allometric relationships. , 2003, Tree physiology.
[16] J. Monteith,et al. The Radiation Regime and Architecture of Plant Stands. , 1983 .
[17] B. Bailey,et al. Rapid measurement of the three-dimensional distribution of leaf orientation and the leaf angle probability density function using terrestrial LiDAR scanning , 2017 .
[18] E. Casella,et al. Segmentation of tree seedling point clouds into elementary units , 2016 .
[19] Guang Zheng,et al. Leaf Orientation Retrieval From Terrestrial Laser Scanning (TLS) Data , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[20] M. G. R. Cannell,et al. Phyllotactic arrangements of needles on elongating conifer shoots: a computer simulation , 1978 .
[21] M. Herold,et al. Nondestructive estimates of above‐ground biomass using terrestrial laser scanning , 2015 .
[22] M. Verstraete,et al. Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements , 2011 .
[23] Markku Åkerblom,et al. Analysis of Geometric Primitives in Quantitative Structure Models of Tree Stems , 2015, Remote. Sens..
[24] F. M. Danson,et al. Terrestrial Laser Scanning for Plot-Scale Forest Measurement , 2015, Current Forestry Reports.