Urban tree species mapping using hyperspectral and lidar data fusion

[1]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[2]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[3]  R. Welch,et al.  Spatial resolution requirements for urban studies , 1982 .

[4]  James Urban,et al.  Bringing Order to the Technical Dysfunction within the Urban Forest , 1992, Arboriculture & Urban Forestry.

[5]  David A. Landgrebe,et al.  Classification of remote sensing images having high spectral resolution , 1996 .

[6]  Jessica A. Faust,et al.  Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) , 1998 .

[7]  Christine Pohl,et al.  Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .

[8]  Margaret E. Gardner,et al.  Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models , 1998 .

[9]  Mary E. Martin,et al.  Determining Forest Species Composition Using High Spectral Resolution Remote Sensing Data , 1998 .

[10]  G. Asner.  Biophysical and Biochemical Sources of Variability in Canopy Reflectance , 1998 .

[11]  P. Bolund,et al.  Ecosystem services in urban areas , 1999 .

[12]  Ruiliang Pu,et al.  Penalized discriminant analysis of in situ hyperspectral data for conifer species recognition , 1999, IEEE Trans. Geosci. Remote. Sens..

[13]  James A. Voogt,et al.  Urban Heat Island , 2000 .

[14]  Jun-Ho Lee,et al.  Characterization of urban stormwater runoff , 2000 .

[15]  A. Maclean,et al.  A comparison of canonical discriminant analysis and principal component analysis for spectral transformation. , 2000 .

[16]  M. Cochrane.  Using vegetation reflectance variability for species level classification of hyperspectral data , 2000 .

[17]  Marcos Dipinto,et al.  Discriminant analysis , 2020, Predictive Analytics.

[18]  K. Chen,et al.  An approach to linking remotely sensed data and areal census data , 2002 .

[19]  J. Simpson,et al.  Improved estimates of tree-shade effects on residential energy use , 2002 .

[20]  R. Richter,et al.  Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/topographic correction , 2002 .

[21]  S. Popescu,et al.  Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass , 2003 .

[22]  D. Roberts,et al.  The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral , 2003 .

[23]  M. Flood,et al.  LiDAR remote sensing of forest structure , 2003 .

[24]  D. Roberts,et al.  Spectral and Structural Measures of Northwest Forest Vegetation at Leaf to Landscape Scales , 2004, Ecosystems.

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

[26]  U. Benz,et al.  Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .

[27]  S. Ustin,et al.  Using AVIRIS data and multiple-masking techniques to map urban forest tree species , 2004 .

[28]  D. Roberts,et al.  Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales , 2005 .

[29]  Benoit Rivard,et al.  Variability in leaf optical properties of Mesoamerican trees and the potential for species classification. , 2006, American journal of botany.

[30]  S. Reutebuch,et al.  A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods , 2006 .

[31]  P. Gong,et al.  Isolating individual trees in a savanna woodland using small footprint lidar data , 2006 .

[32]  K. Itten,et al.  Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction , 2006 .

[33]  R. Wynne,et al.  Examining pine spectral separability using hyperspectral data from an airborne sensor: An extension of field‐based results , 2007 .

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

[35]  Roberta E. Martin,et al.  Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems , 2007 .

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

[37]  Roberta E. Martin,et al.  Invasive species detection in Hawaiian rainforests using airborne imaging spectroscopy and LiDAR. , 2008 .

[38]  Ramanathan Sugumaran,et al.  Seasonal Effect on Tree Species Classification in an Urban Environment Using Hyperspectral Data, LiDAR, and an Object-Oriented Approach , 2008, Sensors.

[39]  J. Lyytimäki,et al.  Nature as a nuisance? Ecosystem services and disservices to urban lifestyle , 2008 .

[40]  Lorenzo Bruzzone,et al.  Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[41]  Benjamin Koetz,et al.  Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data , 2008 .

[42]  Peter Bunting,et al.  Retrieving forest biomass through integration of CASI and LiDAR data , 2008 .

[43]  R. Dubayah,et al.  Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest , 2008 .

[44]  J. C. Stevens,et al.  A Ground-Based Method of Assessing Urban Forest Structure and Ecosystem Services , 2008 .

[45]  E. Næsset,et al.  Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser , 2008 .

[46]  William J. Manning,et al.  Plants in urban ecosystems: Essential role of urban forests in urban metabolism and succession toward sustainability , 2008 .

[47]  J. Reitberger,et al.  3D segmentation of single trees exploiting full waveform LIDAR data , 2009 .

[48]  R. Pu.  Broadleaf species recognition with in situ hyperspectral data , 2009 .

[49]  Kaiguang Zhao,et al.  Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite LAI product in a temperate forest of the southern USA , 2009 .

[50]  Ryan R. Jensen,et al.  Evaluating AISA+ hyperspectral imagery for mapping black mangrove along the South Texas Gulf coast. , 2009 .

[51]  Michael E. Schaepman,et al.  Retrieval of foliar information about plant pigment systems from high resolution spectroscopy , 2009 .

[52]  D. Roberts,et al.  Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of hyperspectral imagery for urban environments , 2009 .

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

[54]  F. Escobedo,et al.  Spatial heterogeneity and air pollution removal by an urban forest , 2009 .

[55]  Erik Næsset,et al.  Mapping LAI in a Norway spruce forest using airborne laser scanning , 2009 .

[56]  H. Andersen,et al.  Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data , 2009 .

[57]  R. Kokaly,et al.  Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies , 2009 .

[58]  M. Friedl,et al.  Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. , 2010 .

[59]  Heather R. McCarthy,et al.  Drivers of variability in water use of native and non-native urban trees in the greater Los Angeles area , 2007, Urban Ecosystems.

[60]  S. Myint,et al.  Combined Effects of Impervious Surface and Vegetation Cover on Air Temperature Variations in a Rapidly Expanding Desert City , 2010 .

[61]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[62]  N. Coops,et al.  Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada , 2010 .

[63]  Patricia Gober,et al.  Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery , 2011, Remote Sensing of Environment.

[64]  D. Roberts,et al.  Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors , 2011 .

[65]  Chunxia Wu,et al.  Million trees Los Angeles canopy cover and benefit assessment , 2011 .

[66]  R. Green,et al.  Imaging spectrometer science measurements for Terrestrial Ecology: AVIRIS and new developments , 2011, 2011 Aerospace Conference.

[67]  R. Pu,et al.  Segmented canonical discriminant analysis of in situ hyperspectral data for identifying 13 urban tree species , 2011 .

[68]  Yong Pang,et al.  Fusion of airborne hyperspectral and LiDAR data for tree species classification in the temperate forest of northeast China , 2011, 2011 19th International Conference on Geoinformatics.

[69]  Michael G. Wing,et al.  Airborne Light Detection and Ranging (LiDAR) for Individual Tree Stem Location, Height, and Biomass Measurements , 2011, Remote. Sens..

[70]  Thomas M. Hinckley,et al.  Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data , 2011 .

[71]  D. Roberts,et al.  Mapping two Eucalyptus subgenera using multiple endmember spectral mixture analysis and continuum-removed imaging spectrometry data , 2011 .

[72]  G. Asner,et al.  Evaluating uncertainty in mapping forest carbon with airborne LiDAR , 2011 .

[73]  Barbara Koch,et al.  Exploring full-waveform LiDAR parameters for tree species classification , 2011, Int. J. Appl. Earth Obs. Geoinformation.

[74]  J. Bryan Blair,et al.  Mapping biomass and stress in the Sierra Nevada using lidar and hyperspectral data fusion , 2011 .

[75]  Nathalie Ortar,et al.  Cities and climate change: Global report on human settlements 2011 , 2011 .

[76]  G. Asner,et al.  A universal airborne LiDAR approach for tropical forest carbon mapping , 2011, Oecologia.

[77]  P. Krzystek,et al.  Tree species classification and estimation of stem volume and DBH based on single tree extraction by exploiting airborne full-waveform LiDAR data , 2012 .

[78]  Frédéric Bretar,et al.  3-D mapping of a multi-layered Mediterranean forest using ALS data , 2012 .

[79]  R. Pu,et al.  A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species , 2012 .

[80]  L. Bruzzone,et al.  Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data , 2012 .

[81]  Fabian Ewald Fassnacht,et al.  Forest structure modeling with combined airborne hyperspectral and LiDAR data , 2012 .

[82]  Eric C. Turnblom,et al.  Tree Species Detection Accuracies Using Discrete Point Lidar and Airborne Waveform Lidar , 2012, Remote. Sens..

[83]  Randolph H. Wynne,et al.  Using Geospatial Tools to Assess the Urban Tree Canopy: Decision Support for Local Governments , 2012 .

[84]  Randolph H. Wynne,et al.  Estimating Biophysical Parameters of Individual Trees in an Urban Environment Using Small Footprint Discrete-Return Imaging Lidar , 2012, Remote. Sens..

[85]  Sean W. MacFaden,et al.  High-resolution tree canopy mapping for New York City using LIDAR and object-based image analysis , 2012 .

[86]  Liviu Theodor Ene,et al.  Simultaneously acquired airborne laser scanning and multispectral imagery for individual tree species identification , 2012 .

[87]  Caiyun Zhang,et al.  Mapping Individual Tree Species in an Urban Forest Using Airborne Lidar Data and Hyperspectral Imagery , 2012 .

[88]  Bryan Blair,et al.  Retrieval of vertical LAI profiles over tropical rain forests using waveform lidar at La Selva, Costa Rica , 2012 .

[89]  Dar A. Roberts,et al.  Identifying Santa Barbara's urban tree species from AVIRIS imagery using canonical discriminant analysis , 2013 .

[90]  G. D. Jenerette,et al.  The luxury of vegetation and the legacy of tree biodiversity in Los Angeles, CA , 2013 .

[91]  Liviu Theodor Ene,et al.  Tree crown delineation and tree species classification in boreal forests using hyperspectral and ALS data , 2014 .

[92]  L. Boschetti,et al.  Tree species mapping with Airborne hyperspectral MIVIS data : the Ticino Park study , 2022 .