Estimation of Forest Stock and Yield Using LiDAR Data
暂无分享,去创建一个
Juha Hyyppä | Anttoni Jaakkola | Xinlian Liang | Ville Kankare | Markus Holopainen | Mikko Vastaranta | M. Vastaranta | M. Holopainen | J. Hyyppä | Xinlian Liang | A. Jaakkola | Ville Kankare | V. Kankare
[1] Hans-Gerd Maas,et al. Automatic forest inventory parameter determination from terrestrial laser scanner data , 2008 .
[2] Juha Hyyppä,et al. Uncertainty in timber assortment estimates predicted from forest inventory data , 2010, European Journal of Forest Research.
[3] J. Hyyppä,et al. Calibration of laser-derived tree height estimates by means of photogrammetric techniques , 2004 .
[4] Kenji Omasa,et al. Estimation and Error Analysis of Woody Canopy Leaf Area Density Profiles Using 3-D Airborne and Ground-Based Scanning Lidar Remote-Sensing Techniques , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[5] Juha Hyyppä,et al. The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees , 2011, 2011 Joint Urban Remote Sensing Event.
[6] Juha Hyyppä,et al. Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[7] Woo-Kyun Lee,et al. Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners , 2011, Remote. Sens..
[8] E. Næsset. Determination of mean tree height of forest stands using airborne laser scanner data , 1997 .
[9] J. Hyyppä,et al. OPTIMIZATION OF THE SCANNING ANGLE FOR COUNTRYWIDE LASER SCANNING , 2005 .
[10] Yi Lin,et al. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements , 2010 .
[11] M. Vastaranta,et al. Predicting stand-thinning maturity from airborne laser scanning data , 2011 .
[12] T. Tokola,et al. Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information , 2005 .
[13] Erik Næsset,et al. Mapping LAI in a Norway spruce forest using airborne laser scanning , 2009 .
[14] Juha Hyyppä,et al. An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning , 2012, Remote. Sens..
[15] K. Kraus,et al. Determination of terrain models in wooded areas with airborne laser scanner data , 1998 .
[16] Tuomas Häme,et al. A method for estimating the stand characteristics of a forest compartment using satellite imagery. , 1984 .
[17] Antti Mäkinen,et al. Uncertainty in Forest Net Present Value Estimations , 2010 .
[18] E. Næsset. Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data , 2002 .
[19] Felix Morsdorf,et al. Understory trees in airborne LiDAR data — Selective mapping due to transmission losses and echo-triggering mechanisms , 2012 .
[20] Annika Kangas,et al. Effect of tree-level airborne laser-scanning measurement accuracy on the timing and expected value of harvest decisions , 2009, European Journal of Forest Research.
[21] Jussi Peuhkurinen,et al. Identification of boreal forest stands with high herbaceous plant diversity using airborne laser scanning , 2009 .
[22] Randolph H. Wynne,et al. Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data , 2005 .
[23] R. Nelson,et al. Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway , 2011 .
[24] P. Radtke,et al. Detailed Stem Measurements of Standing Trees from Ground-Based Scanning Lidar , 2006, Forest Science.
[25] N. Coops,et al. Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests , 2003 .
[26] Liviu Theodor Ene,et al. Comparative testing of single-tree detection algorithms under different types of forest , 2011 .
[27] Yi Lin,et al. From TLS to VLS: Biomass Estimation at Individual Tree Level , 2010, Remote. Sens..
[28] G. B. Groom,et al. Relationships between physical characteristics and polarimetric radar backscatter for Corsican pine stands in Thetford Forest, U.K. , 1994 .
[29] Josef Kellndorfer,et al. Statistical fusion of lidar, InSAR, and optical remote sensing data for forest stand height characterization: A regional‐scale method based on LVIS, SRTM, Landsat ETM+, and ancillary data sets , 2010 .
[30] Juha Hyyppä,et al. Individual Tree Species Classification by Illuminated - Shaded Area Separation , 2009, Remote. Sens..
[31] Ross Nelson,et al. A Portable Airborne Laser System for Forest Inventory , 2003 .
[32] J. Holmgren,et al. Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods , 2010 .
[33] Kenji Omasa,et al. Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[34] M. Maltamo,et al. Airborne laser scanning for the identification of boreal forest site types , 2008 .
[35] B. Koch,et al. Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors , 2010 .
[36] E. Næsset. Estimating timber volume of forest stands using airborne laser scanner data , 1997 .
[37] Juha Hyyppä,et al. Methods of airborne laser scanning for forest information extraction , 2006 .
[38] Ralph Dubayah,et al. Validation of Vegetation Canopy Lidar sub-canopy topography measurements for a dense tropical forest , 2002 .
[39] W. Cohen,et al. Lidar Remote Sensing for Ecosystem Studies , 2002 .
[40] Juha Hyyppä,et al. Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data , 2012, ISPRS Int. J. Geo Inf..
[41] Barbara Koch,et al. TREE SPECIES DETECTION USING FULL WAVEFORM LIDAR DATA IN A COMPLEX FOREST , 2010 .
[42] Pol Coppin,et al. 3D modeling of light interception in heterogeneous forest canopies using ground-based LiDAR data , 2011, International Journal of Applied Earth Observation and Geoinformation.
[43] Svein Solberg,et al. Mapping gap fraction, LAI and defoliation using various ALS penetration variables , 2010 .
[44] Juha Hyyppä,et al. USING INDIVIDUAL TREE CROWN APPROACH FOR FOREST VOLUME EXTRACTION WITH AERIAL IMAGES AND LASER POINT CLOUDS , 2005 .
[45] Terje Gobakken,et al. Estimating forest growth using canopy metrics derived from airborne laser scanner data , 2005 .
[46] Åsa Persson,et al. Detecting and measuring individual trees using an airborne laser scanner , 2002 .
[47] Barbara Koch,et al. Prior-knowledge-based single-tree extraction , 2011 .
[48] G. Ståhl,et al. Cost-Plus-Loss Analyses of Forest Inventory Strategies Based on kNN- Assigned Reference Sample Plot Data , 2003 .
[49] Petteri Packalen,et al. Identification of Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning Data Using Alpha Shape Metrics , 2009 .
[50] Juha Hyyppä,et al. Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes , 2010, Remote. Sens..
[51] M. Nilsson. Estimation of tree heights and stand volume using an airborne lidar system , 1996 .
[52] Emmanuel P. Baltsavias,et al. Airborne laser scanning: basic relations and formulas , 1999 .
[53] A. Hudak,et al. Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data , 2008 .
[54] Richard A. Fournier,et al. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar , 2009 .
[55] Markus Holopainen,et al. Effect of data acquisition accuracy on timing of stand harvests and expected net present value. , 2006 .
[56] M. Lefsky,et al. Laser altimeter canopy height profiles: methods and validation for closed-canopy, broadleaf forests , 2001 .
[57] M. Vastaranta,et al. Predicting individual tree attributes from airborne laser point clouds based on the random forests technique , 2011 .
[58] Ronald J. Hall,et al. The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets , 2008 .
[59] J. Hyyppä,et al. Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data , 2006 .
[60] Joanne C. White,et al. Lidar sampling for large-area forest characterization: A review , 2012 .
[61] P. Gessler,et al. Forest Service-- National AgroforestryCenter 1-1-2010 Landscape-scale parameterization of a tree-level forest growth model : a k-nearest neighbor imputation approach incorporating LiDAR data , 2013 .
[62] Åsa Persson,et al. Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images , 2008 .
[63] Terje Gobakken,et al. Comparing stand inventories for large areas based on photo-interpretation and laser scanning by means of cost-plus-loss analyses , 2004 .
[64] N. Coops,et al. Comparing canopy metrics derived from terrestrial and airborne laser scanning in a Douglas-fir dominated forest stand , 2010, Trees.
[65] Laura Chasmer,et al. Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar , 2006 .
[66] Markus Holopainen,et al. Mapping of snow-damaged trees based on bitemporal airborne LiDAR data , 2011, European Journal of Forest Research.
[67] Göran Ståhl,et al. Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. , 2011 .
[68] Hannu Hyyppae,et al. Accuracy of laser scanning for DTM generation in forested areas , 2000, Defense, Security, and Sensing.
[69] Markus Hollaus,et al. Airborne Laser Scanning of Forest Stem Volume in a Mountainous Environment , 2007, Sensors (Basel, Switzerland).
[70] W. W. Carson,et al. Accuracy of a high-resolution lidar terrain model under a conifer forest canopy , 2003 .
[71] Juha Hyyppä,et al. Classification of Defoliated Trees Using Tree-Level Airborne Laser Scanning Data Combined with Aerial Images , 2010, Remote. Sens..
[72] J. Hyyppä,et al. Obtaining plotwise mean height and volume growth in boreal forests using multi‐temporal laser surveys and various change detection techniques , 2008 .
[73] Terje Gobakken,et al. Sampling and Mapping Forest Volume and Biomass Using Airborne LIDARs , 2009 .
[74] Annika Kangas,et al. Propagating the errors of initial forest variables through stand- and tree-level growth simulators , 2010, European Journal of Forest Research.
[75] Pete Watt,et al. Measuring forest structure with terrestrial laser scanning , 2005 .
[76] Juha Hyyppä,et al. Effects of Individual Tree Detection Error Sources on Forest Management Planning Calculations , 2011, Remote. Sens..
[77] Juha Hyyppä,et al. Stem curve measurement using terrestrial laser scanning , 2011 .
[78] Erik Næsset,et al. Mapping defoliation during a severe insect attack on Scots pine using airborne laser scanning , 2006 .
[79] Yi Lin,et al. $k$-Segments-Based Geometric Modeling of VLS Scan Lines , 2011, IEEE Geoscience and Remote Sensing Letters.
[80] Randolph H. Wynne,et al. Fusion of Small-Footprint Lidar and Multispectral Data to Estimate Plot- Level Volume and Biomass in Deciduous and Pine Forests in Virginia, USA , 2004, Forest Science.
[81] Mattias Nyström,et al. Change detection of mountain vegetation using multi-temporal ALS point clouds. , 2011 .
[82] E. Næsset,et al. Laser scanning of forest resources: the nordic experience , 2004 .
[83] P. Gong,et al. Automated methods for measuring DBH and tree heights with a commercial scanning lidar , 2011 .
[84] Markus Holopainen,et al. Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats , 2009 .
[85] S. Magnussen,et al. Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators , 1998 .
[86] Ross Nelson,et al. Measuring biomass and carbon in delaware using an airborne profiling LIDAR , 2004 .
[87] David L.B. Jupp,et al. Measuring tree stem diameters using intensity profiles from ground-based scanning lidar from a fixed viewpoint , 2011 .
[88] W. Cohen,et al. Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA , 1999 .
[89] Martin Rutzinger,et al. Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data , 2010, Sensors.
[90] B. Koch,et al. Detection of individual tree crowns in airborne lidar data , 2006 .
[91] J. Hyyppä,et al. Automatic detection of harvested trees and determination of forest growth using airborne laser scanning , 2004 .
[92] Juha Hyyppä,et al. Tree biomass estimation using ALS features. , 2011 .
[93] M. Maltamo,et al. The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs , 2007 .
[94] E. Næsset. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser , 2004 .
[95] R. Nelson,et al. A Multiple Resource Inventory of Delaware Using Airborne Laser Data , 2003 .
[96] C. Hopkinson,et al. Assessing forest metrics with a ground-based scanning lidar , 2004 .
[97] Juha Hyyppä,et al. Single-scan TLS methods for forest parameter retrieval , 2008 .
[98] Juha Hyyppä,et al. COMPARISON OF TERRESTRIAL LASER SCANNER AND SYNTHETIC APERTURE RADAR DATA IN THE STUDY OF FOREST DEFOLIATION , 2010 .
[99] Barbara Koch,et al. Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment , 2010 .
[100] M. Maltamo,et al. Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics , 2010 .
[101] N. J. Tate,et al. Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data , 2009 .
[102] Åsa Persson,et al. Identifying species of individual trees using airborne laser scanner , 2004 .
[103] Markus Holopainen,et al. AREA-BASED SNOW DAMAGE CLASSIFICATION OF FOREST CANOPIES USING BI-TEMPORAL LIDAR DATA , 2012 .
[104] Laura Chasmer,et al. Towards a universal lidar canopy height indicator , 2006 .
[105] Michael A. Lefsky,et al. Volume estimates of trees with complex architecture from terrestrial laser scanning , 2008 .
[106] Ross Nelson,et al. Estimating forest biomass and volume using airborne laser data , 1988 .
[107] Simo Poso,et al. Kuvioittaisen arvioimismenetelmän perusteita. , 1983 .
[108] Juha Hyyppä,et al. Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data , 2012 .
[109] R. Hill,et al. Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data , 2003 .
[110] E. Næsset,et al. Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data , 2010 .
[111] Antti Mäkinen,et al. Comparison of various sources of uncertainty in stand-level net present value estimates , 2010 .
[112] Jussi Peuhkurinen,et al. Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data , 2009 .
[113] M. Maltamo,et al. Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data , 2006 .
[114] Annika Kangas,et al. Using Cost-Plus-Loss Analysis to Define Optimal Forest Inventory Interval and Forest Inventory Accuracy , 2012 .
[115] J. Hyyppä,et al. Tree species classification using airborne LiDAR - effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type , 2010 .
[116] Matti Maltamo,et al. Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index , 2011 .
[117] Yuhong He,et al. Mismatch of band sequences between an image and header file: a potential error in SPOT L1A products , 2008 .
[118] Juha Hyyppä,et al. DECIDUOUS-CONIFEROUS TREE CLASSIFICATION USING DIFFERENCE BETWEEN FIRST AND LAST PULSE LASER SIGNATURES , 2007 .
[119] Timo Tokola,et al. Use of ALS, Airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR , 2011 .