A semi-variogram approach for estimating stems per hectare in Eucalyptus grandis plantations using discrete-return lidar height data
暂无分享,去创建一个
S. G. Tesfamichael | Fethi Ahmed | F. Ahmed | S. Tesfamichael | J. Aardt | F. Blakeway | F. Blakeway | J. A. N. van Aardt
[1] D. A. Hill,et al. Combined high-density lidar and multispectral imagery for individual tree crown analysis , 2003 .
[2] P. Gong,et al. Detection of individual trees and estimation of tree height using LiDAR data , 2007, Journal of Forest Research.
[3] J. Hyyppä,et al. Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions , 2004 .
[4] Tomas Brandtberg,et al. Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis , 1998, Machine Vision and Applications.
[5] Andrew T. Hudak,et al. Discrete return lidar-based prediction of leaf area index in two conifer forests , 2008 .
[6] W. Cohen,et al. Semivariograms of digital imagery for analysis of conifer canopy structure. , 1990 .
[7] Timothy G. Gregoire,et al. Sampling Methods for Multiresource Forest Inventory , 1993 .
[8] Peter M. Atkinson,et al. Spatial variation in land cover and choice of spatial resolution for remote sensing , 2004 .
[9] E. Næsset. Airborne laser scanning as a method in operational forest inventory: Status of accuracy assessments accomplished in Scandinavia , 2007 .
[10] P. Treitz,et al. Mapping stand-level forest biophysical variables for a mixedwood boreal forest using lidar: an examination of scanning density , 2006 .
[11] W. Cohen,et al. Lidar Remote Sensing for Ecosystem Studies , 2002 .
[12] E. Næsset. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data , 2002 .
[13] C. Woodcock,et al. The use of variograms in remote sensing: I , 1988 .
[14] Nicholas C. Coops,et al. Comparison of forest attributes extracted from fine spatial resolution multispectral and lidar data , 2004 .
[15] Åsa Persson,et al. Detecting and measuring individual trees using an airborne laser scanner , 2002 .
[16] Patrick D. Gerard,et al. Characterizing vertical forest structure using small-footprint airborne LiDAR , 2003 .
[17] Alex C. Lee,et al. A LiDAR-derived canopy density model for tree stem and crown mapping in Australian forests , 2007 .
[18] S. Roberts,et al. Influence of Fusing Lidar and Multispectral Imagery on Remotely Sensed Estimates of Stand Density and Mean Tree Height in a Managed Loblolly Pine Plantation , 2003, Forest Science.
[19] Johan E. S. Fransson,et al. Effects on estimation accuracy of forest variables using different pulse density of laser data , 2007 .
[20] Emmanuel P. Baltsavias,et al. Airborne laser scanning: basic relations and formulas , 1999 .
[21] Matti Maltamo,et al. Estimating stand characteristics by combining single tree pattern recognition of digital video imagery and a theoretical diameter distribution model , 2003 .
[22] B. Koch,et al. Detection of individual tree crowns in airborne lidar data , 2006 .
[23] F. Ackermann. Airborne laser scanning : present status and future expectations , 1999 .
[24] I. Burke,et al. Estimating stand structure using discrete-return lidar: an example from low density, fire prone ponderosa pine forests , 2005 .
[25] Tomas Brandtberg. Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America , 2003 .
[26] P. Curran. The semivariogram in remote sensing: An introduction , 1988 .
[27] Nicholas C. Coops,et al. Simulation study for finding optimal lidar acquisition parameters for forest height retrieval , 2005 .
[28] P. Litkey,et al. Algorithms and methods of airborne laser-scanning for forest measurements , 2004 .
[29] Josée Lévesque,et al. Airborne digital camera image semivariance for evaluation of forest structural damage at an acid mine site , 1999 .
[30] K. Itten,et al. LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management , 2004 .
[31] N. Cressie. Fitting variogram models by weighted least squares , 1985 .
[32] M. Heurich. Automatic recognition and measurement of single trees based on data from airborne laser scanning over the richly structured natural forests of the Bavarian Forest National Park , 2008 .
[33] F. Gougeon. A Crown-Following Approach to the Automatic Delineation of Individual Tree Crowns in High Spatial Resolution Aerial Images , 1995 .
[34] Emilio Chuvieco,et al. Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests , 2004 .
[35] B. St-Onge. Automated forest structure mapping from high resolution imagery based on directional semivariogram estimates , 1997 .
[36] Aloysius Wehr,et al. Airborne laser scanning—an introduction and overview , 1999 .
[37] Y. H. Shikoku,et al. THE EFFECTS OF FOOTPRINT SIZE AND SAMPLING DENSITY IN AIRBORNE LASER SCANNING TO EXTRACT INDIVIDUAL TREES IN MOUNTAINOUS TERRAIN , 2004 .
[38] Emmanuel P. Baltsavias,et al. A comparison between photogrammetry and laser scanning , 1999 .
[39] Michael A. Wulder,et al. Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters , 1998 .
[40] Daniel Schmoldt,et al. Computers and Electronics in Agriculture , 2017 .
[41] Randolph H. Wynne,et al. Estimating plot-le v el tree heights with lidar : local filtering with a canopy-height based v ariable window size , 2002 .
[42] Hans R. Zuuring,et al. A method for quantifying vertical forest structure , 1998 .
[43] Yong Q. Tian,et al. Estimating Basal Area and Stem Volume for Individual Trees from Lidar Data , 2007 .
[44] Randolph H. Wynne,et al. Estimating plot-level tree heights with lidar : local filtering with a canopy-height based variable window size , 2002 .
[45] C. Woodcock,et al. The use of variograms in remote sensing. I - Scene models and simulated images. II - Real digital images , 1988 .
[46] Alex C. Lee,et al. Quantifying Australian forest floristics and structure using small footprint LiDAR and large scale aerial photography , 2006 .
[47] K. O. Niemann,et al. Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery , 2000 .
[48] F. M. Danson,et al. Satellite remote sensing of forest resources: three decades of research development , 2005 .
[49] J. Holmgren,et al. Estimation of Tree Height and Stem Volume on Plots Using Airborne Laser Scanning , 2003, Forest Science.
[50] W. Cohen,et al. An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon , 2001 .
[51] T. J. Dean,et al. Estimating individual tree leaf area in loblolly pine plantations using LiDAR-derived measurements of height and crown dimensions , 2005 .
[52] Michael A. Wulder,et al. Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis , 1996 .
[53] Tomislav Hengl,et al. Finding the right pixel size , 2006, Comput. Geosci..
[54] J. Holmgren. Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanning , 2004 .
[55] R. Webster,et al. Kriging: a method of interpolation for geographical information systems , 1990, Int. J. Geogr. Inf. Sci..
[56] M. Flood,et al. LiDAR remote sensing of forest structure , 2003 .
[57] Douglas J. King,et al. Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration , 2002 .
[58] Peter M. Atkinson,et al. Geostatistics and remote sensing , 1998 .
[59] S. Popescu,et al. Seeing the Trees in the Forest: Using Lidar and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height , 2004 .
[60] E. Næsset. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser , 2004 .
[61] S. Reutebuch,et al. Light detection and ranging (LIDAR): an emerging tool for multiple resource inventory. , 2005 .
[62] D. King,et al. Development and evaluation of an automated tree detection-delineation algorithm for monitoring regenerating coniferous forests , 2005 .