Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data

[1]  S. Spurr Photogrammetry and Photo-Interpretation , 1960 .

[2]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[3]  P. Burrough Principles of Geographical Information Systems for Land Resources Assessment , 1986 .

[4]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[5]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[6]  I. Moore,et al.  Digital terrain modelling: A review of hydrological, geomorphological, and biological applications , 1991 .

[7]  D. Leckie,et al.  Forest inventory update in Canada , 1996 .

[8]  Michael A. Wulder,et al.  Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters , 1998 .

[9]  G. Edwards,et al.  Automated estimation of localized forest volume from large-scale aerial photographs and ancillary cartographic information in a boreal forest , 1999 .

[10]  Antoine Guisan,et al.  Predictive habitat distribution models in ecology , 2000 .

[11]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[12]  Heike Lischke,et al.  Swiss National Forest Inventory: Methods and Models of the Second Assessment , 2001 .

[13]  Mary Ann Fajvan,et al.  A Comparison of Multispectral and Multitemporal Information in High Spatial Resolution Imagery for Classification of Individual Tree Species in a Temperate Hardwood Forest , 2001 .

[14]  Trevor Hastie,et al.  Generalized linear and generalized additive models in studies of species distributions: setting the scene , 2002 .

[15]  Tomas Brandtberg,et al.  Individual tree-based species classification in high spatial resolution aerial images of forests using fuzzy sets , 2002, Fuzzy Sets Syst..

[16]  L. Waser,et al.  Combining remotely sensed spectral data and digital surface models for fine-scale modelling of mire ecosystems , 2004 .

[17]  S. Weiss,et al.  GLM versus CCA spatial modeling of plant species distribution , 1999, Plant Ecology.

[18]  Cédric Véga,et al.  Measuring individual tree height using a combination of stereophotogrammetry and lidar , 2004 .

[19]  Åsa Persson,et al.  Identifying species of individual trees using airborne laser scanner , 2004 .

[20]  Zhang Li,et al.  AUTOMATIC DSM GENERATION FROM LINEAR ARRAY IMAGERY DATA , 2004 .

[21]  M. Erikson Species classification of individually segmented tree crowns in high-resolution aerial images using radiometric and morphologic image measures , 2004 .

[22]  Mathias Schardt,et al.  Single tree detection in very high resolution remote sensing data , 2007 .

[23]  D. Leckie,et al.  Issues in species classification of trees in old growth conifer stands , 2005 .

[24]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[25]  Ralf Reulke,et al.  Determination and improvement of spatial resolution of the CCD-line-scanner system ADS40 , 2006 .

[26]  Howard Schultz,et al.  Individual Tree Crown Segmentation in Aerial Forestry Images by Mean Shift Clustering and Graph-based Cluster Merging , 2006 .

[27]  J. Holmgren,et al.  Tree species discrimination using Z/I DMC imagery and template matching of single trees , 2006 .

[28]  Tomas Brandtberg Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar , 2007 .

[29]  Gordon Petrie,et al.  Airborne digital imaging technology: a new overview , 2007 .

[30]  Eva Ivits,et al.  Prediction of lichen diversity in an UNESCO biosphere reserve – correlation of high resolution remote sensing data with field samples , 2007 .

[31]  Åsa Persson,et al.  Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images , 2008 .

[32]  Piermaria Corona,et al.  Exploring forest structural complexity by multi-scale segmentation of VHR imagery , 2008 .

[33]  Christian Ginzler,et al.  High‐resolution digital surface models (DSMs) for modelling fractional shrub/tree cover in a mire environment , 2008 .

[34]  B. Koch,et al.  Full automatic detection of tree species based on delineated single tree crowns - a data fusion approach for airborne laser scanning data and aerial photographs. , 2008 .

[35]  Lars T. Waser,et al.  High‐quality image matching and automated generation of 3D tree models , 2008 .

[36]  L. Waser,et al.  Predictive mapping of floristic site conditions across mire habitats: Evaluating data requirements , 2008 .

[37]  E. Baltsavias,et al.  Assessing changes of forest area and shrub encroachment in a mire ecosystem using digital surface models and CIR aerial images , 2008 .

[38]  C. Ginzler,et al.  Potential and limits of extraction of forest attributes by fusion of medium point density LiDAR data with ADS40 and RC30 images. , 2008 .

[39]  E. Næsset,et al.  Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data , 2009 .

[40]  L. Waser,et al.  Potential of digital sensors for land cover and tree species classifications - a case study in the framework of the DGPF-project , 2010 .