Retrieving forest biomass through integration of CASI and LiDAR data

References

• Barrett , D. J. , Galbally , I. E. and Graetz , R. D. 2001 . Quantifying uncertainty in estimates of C emissions from above ground biomass due to historical land‐use change to cropping in Australia. . Global Change Biology , 7 : 883 – 902 .
   Web of Science ®Google Scholar
• Brack , C. , Richards , G. and Waterworth , R. 2006 . Integrated and comprehensive estimation of greenhouse gas emissions from land systems. . Sustainability Science , 1 : 91 – 106 .
   Web of Science ®Google Scholar
• Bunting , P. J. and Lucas , R. M. 2006a . The delineation of tree crowns in Australian mixed species forests using hyperspectral Compact Airborne Spectrographic Imager (CASI) data. . Remote Sensing of Environment , 101 : 230 – 248 .
   Web of Science ®Google Scholar
• Bunting , P. J. and Lucas , R. M. Landscape classification of Australian forest communities using hyperspectral HyMap and CASI data. Proceedings, IUFRO Landscape Ecology Conference , pp. 457 – 462 . Vienna : IUFRO . 26–29 September, 2006, Locorotondo, Bari, Italy
   Google Scholar
• Bunting , P. J. , Paterson , M. and Lucas , R. M. Discrimination of tree species in Australian woodlands using hyperspectral CASI data. Proceedings, Workshop on 3D Remote Sensing in Forestry , pp. 287 – 290 . Vienna : University of Natural Resources and Applied Life Sciences .
   Google Scholar
• Bunting , P. J. 2007 . “ Integration of remote sensing data for the characterisation of Australian forests. ” . Unpublished PhD thesis, University of Wales, Aberystwyth
   Google Scholar
• Burnett , C. and Blaschke , T. 2003 . A multi‐scale segmentation/object relationship modelling methodology for landscape analysis. . Ecological Modelling , 168 : 233 – 249 .
   Web of Science ®Google Scholar
• Burrows , W. H. , Hoffman , M. B. , Compton , J. F. and Back , P. V. 2001 . Allometric Relationships and Community Biomass Stocks in White Cypress Pine (Callitris glaucophylla) and Associated Eucalpyts of the Carnarvon Area, Central Queensland , 17 Canberra : Australian Greenhouse Office . National Carbon Accounting System (NCAS) Technical Report 33
   Google Scholar
• Burrows , W. H. , Hoffman , M. B. , Compton , J. F. , Back , P. V. and Tait , L. J. 2000 . Allometric relationships and community biomass estimates for some dominant eucalyptus in central Queensland woodlands. . Australian Journal of Botany , 48 : 707 – 714 .
   Web of Science ®Google Scholar
• Burrows , W. H. , Henry , B. K. , Back , P. V. , Hoffman , M. B. , Tait , L. J. , Anderson , E. R. , Menke , N. , Danaher , T. , Carter , J. O. and McKeon , G. M. 2002 . Growth and carbon stock change in eucalypt woodlands in north‐east Australia: ecological and greenhouse sink implications. . Global Change Biology , 8 : 1 – 16 .
   Web of Science ®Google Scholar
• Carter , G. A. 1994 . Ratios of leaf reflectance in narrow wavebands as indicators of plant stress. . International Journal of Remote Sensing , 15 : 697 – 703 .
   Web of Science ®Google Scholar
• Chasmer , L. , Hopkinson , C. and Treitz , P. 2006a . Examining the influence of changing laser pulse repetition frequencies on conifer forest canopy returns. . Photogrammetric Engineering and Remote Sensing , 72 : 1359 – 1367 .
   Web of Science ®Google Scholar
• Chasmer , L. , Hopkinson , C. and Treitz , P. 2006b . Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar. . Canadian Journal of Remote Sensing , 32 : 116 – 125 .
   Web of Science ®Google Scholar
• Chave , J. , Condit , R. , Aguilar , S. , Hernandez , A. , Lao , S. and Perez , R. 2004 . Error propagation and scaling for tropical forest biomass estimates. . Philosophical Transactions of the Royal Society of London , 359 : 409 – 420 .
   PubMed Web of Science ®Google Scholar
• Clark , M. L. , Roberts , D. A. and Clark , D. B. 2005 . Hyperspectral discrimination of tropical rain forest tree species at leaf to crown scales. . Remote Sensing of Environment , 96 : 375 – 398 .
   Web of Science ®Google Scholar
• Definiens . 2005 . eCognition Version 5 Object Oriented Image Analysis User Guide , Munich : Definiens AG .
   Google Scholar
• Dobson , M. C. , Ulaby , F. T. , Pierce , L. E. , Sharik , T. L. , Bergen , K. M. , Kellndorfer , J. , Kendra , J. R. , Li , E. , Lin , Y. C. , Nashashibi , A. , Sarabandi , K. and Siqueira , P. 1995 . Estimation of forest biophysical characteristics in northern Michigan with SIR‐C/X‐SAR. . IEEE Transactions on Geoscience and Remote Sensing , 33 : 8877 – 8895 .
   Web of Science ®Google Scholar
• Dos Santos , J. R. , Freitas , C. C. , Aruajo , L. S. , Dutra , L. V. , Mura , J. C. , Gama , F. F. , Soler , L. S. and Sant'Anna , J. S. 2003 . Airborne P‐band SAR applied to above ground biomass studies in the Brazilian tropical forest. . Remote Sensing of Environment , 87 : 482 – 493 .
   Web of Science ®Google Scholar
• Eamus , D. , McGuinness , K. and Burrows , W. H. 2001 . Review of allometric relationships for estimating woody biomass for Queensland, the Northern Territory and Western Australia , 5a, 64 Canberra : Australian Greenhouse Office . National Carbon Accounting System (NCAS) Technical Report 33
   Google Scholar
• Gastellu‐Etchegorry , J. P. , Zagolski , F. , Mougin , E. , Marty , G. and Giordano , G. 1995 . An assessment of canopy chemistry with AVIRIS‐a case study in the Landes Forest, South‐west France. . International Journal of Remote Sensing , 16 : 487 – 501 .
   Web of Science ®Google Scholar
• Gaveau , D. L. A. and Hill , R. A. 2003 . Quantifying canopy height underestimation by laser pulse penetration in small‐footprint airborne laser scanning data. . Canadian Journal of Remote Sensing , 29 : 650 – 657 .
   Web of Science ®Google Scholar
• Gougeon , F. A. and Leckie , D. G. 2003 . Forest Information Extraction from High Spatial Resolution Images Using an Individual Tree Crown Approach , Victoria : Natural Resources Canada, Canadian Forest Service . Information Report BC‐X‐396
   Google Scholar
• Harrington , G. 1979 . Estimation of above ground biomass of trees and shrubs in Eucalyptus populnea (F. Muell). Woodland by regression of mass on trunk diameter and plant height. . Australian Journal of Botany , 2 : 135 – 143 .
   Web of Science ®Google Scholar
• Huang , Z. , Turner , B. J. , Dury , S. J. , Wallis , I. R. and Foley , W. J. 2004 . Estimating foliage nitrogen concentration from HyMap data using continuum removal analysis. . Remote Sensing of Environment , 93 : 18 – 29 .
   Web of Science ®Google Scholar
• Hyyppa , J. , Kelle , O. , Lehikoinen , M. and Inkinen , M. 2001 . A segmentation‐based method to retrieve stem volume estimates from 3‐D tree height models produced by laser scanners. . IEEE Transactions on Geoscience and Remote Sensing , 39 : 969 – 975 .
   Web of Science ®Google Scholar
• Inglada , J. and Giros , A. 2004 . On the possibility of automatic multisensor image registration. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2104 – 2120 .
   Web of Science ®Google Scholar
• Kohonen , T. 2001 . Self‐organizing maps , Heidelberg : Springer .
   Google Scholar
• Leckie , D. G. , Gougeon , F. A. , Tinis , S. , Nelson , T. , Burnett , C. N. and Paradine , D. 2005 . Automated tree recognition in old growth conifer stands with high resolution digital imagery. . Remote Sensing of Environment , 94 : 311 – 326 .
   Web of Science ®Google Scholar
• Lee , A. C. and Lucas , R. M. 2007 . A LiDAR‐derived canopy density model for tree stem and crown mapping in Australian forests. . Remote Sensing of Environment , 111 : 493 – 518 .
   Web of Science ®Google Scholar
• Lefsky , M. A. , Harding , D. , Cohen , W. B. and Parker , G. G. 1999 . Surface LIDAR remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. . Remote Sensing of Environment , 67 : 83 – 98 .
   Web of Science ®Google Scholar
• Lefsky , M. A. , Hudak , A. T. , Guzy , M. and Cohen , W. B. 2005 . Combining LiDAR estimates of biomass and Landsat estimates of stand age for spatially extensive validation of modelled forest productivity. . Remote Sensing of Environment , 95 : 549 – 558 .
   Web of Science ®Google Scholar
• Lim , K. , Treitz , P. , Wulder , M. , St‐Onge , B. and Flood , M. 2003 . LiDAR remote sensing of forest structure. . Progress in Physical Geography , 27 : 88 – 106 .
   Web of Science ®Google Scholar
• Lim , K. S. and Treitz , P. M. 2004 . Estimation of above ground forest biomass from airborne discrete return laser scanner data using canopy‐based quantile estimators. . Scandinavian Journal of Forest Research , 19 : 558 – 570 .
   Web of Science ®Google Scholar
• Lovell , J. L. , Jupp , D. L. B. , Newnham , G. J. , Coops , N. C. and Culvenor , D. S. 2005 . Simulation study for finding optimal LiDAR acquisition parameters for forest height retrieval. . Forest Ecology and Management , 214 : 398 – 412 .
   Web of Science ®Google Scholar
• Lobo , A. 1997 . Image segmentation and discriminant analysis for the identification of land cover units in ecology. . IEEE Transactions on Geoscience and Remote Sensing , 35 : 1136 – 1145 .
   Web of Science ®Google Scholar
• Lucas , R. M. , Cronin , N. , Lee , A. , Witte , C. and Moghaddam , M. 2006a . Empirical relationships between AIRSAR backscatter and forest biomass, Queensland, Australia. . Remote Sensing of Environment , 100 : 407 – 425 .
   Web of Science ®Google Scholar
• Lucas , R. M. , Cronin , N. , Moghaddam , M. , Lee , A. , Armston , J. , Bunting , P. and Witte , C. 2006c . Integration of radar and Landsat‐derived foliage projected cover for woody regrowth mapping, Queensland, Australia. . Remote Sensing of Environment , 100 : 407 – 425 .
   Web of Science ®Google Scholar
• Lucas , R. M. , Lee , A. and Williams , M. 2006b . The role of LiDAR data in understanding the relationship between forest structure and SAR imagery. . IEEE Transactions in Geoscience and Remote Sensing , 44 : 2736 – 2754 .
   Web of Science ®Google Scholar
• Lucas , R. M. , Milne , A. K. , Cronin , N. , Witte , C. and Denham , R. 2000 . The potential of Synthetic Aperture Radar (SAR) data for quantifying the above ground biomass of Australia's woodlands. . Rangeland Journal , 22 : 124 – 140 .
   Web of Science ®Google Scholar
• Lucas , R. M. , Mitchell , A. , Donnelly , B. , Milne , A. K. , Ellison , J. and Finlaysson , M. 2002 . Use of stereo aerial photography for assessing changes in the extent and height of mangrove canopies in tropical Australia. . Wetlands Ecology and Management , 10 : 161 – 175 .
   Google Scholar
• Lucas , R. M. , Moghaddam , M. and Cronin , N. 2004 . Microwave scattering from mixed species woodlands, central Queensland, Australia. . IEEE Transactions on Geoscience and Remote Sensing , 42 : 2142 – 2159 .
   Web of Science ®Google Scholar
• Means , J. E. , Acker , S. A. , Harding , D. A. , Blair , B. J. , Lefsky , M. A. , Cohen , W. B. , Harmon , M. and McKee , W. A. 1999 . Use of large footprint scanning airborne LIDAR to estimate forest stand characteristics in the western Cascades of Oregon. . Remote Sensing of Environment , 67 : 298 – 308 .
   Web of Science ®Google Scholar
• Mitchell , A. L. , Lucas , R. M. , Donnelly , B. E. , Pfizner , K. , Milne , A. K. and Finlayson , M. in press . A new map of mangroves for Kakadu National Park, Northern Australia, based on stereo aerial photography. . Aquatic Conservation ,
   Web of Science ®Google Scholar
• Moffiet , T. , Mengersen , K. , Witte , C. , King , R. and Denham , R. 2005 . Airborne laser scanning: Exploratory data analysis indicates potential variables for classifying vegetation according to species. . ISPRS Journal of Photogrammetry and Remote Sensing , 59 : 289 – 309 .
   Web of Science ®Google Scholar
• Mooney , C. Z. and Duval , R. D. 1993 . Bootstrapping. A Nonparametric Approach to Statistical Inference , 07 – 095 . Newbury Park, CA : Sage University Paper series on Quantitative Applications in the Social Sciences .
   Google Scholar
• Patenaude , G. , Milne , R. and Dawson , T. P. 2005 . Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol. . Environmental Science and Policy , 8 : 161 – 178 .
   Web of Science ®Google Scholar
• Popescu , S. C. and Wynne , R. H. 2004 . Seeing the trees in the forest: using lidar and multispectral data fusion with local filtering and variable window size for estimating tree height. . Photogrammetric Engineering and Remote Sensing , 70 : 589 – 604 .
   Web of Science ®Google Scholar
• Richards , G. P , ed. 2002 . Biomass estimation: Approaches for Assessment of Stocks and Stock change. NCAS Technical Report , Canberra : Australian Greenhouse Office . No. 27
   Google Scholar
• Rosenqvist , A. , Milne , A. K. , Lucas , R. M. , Imhoff , M. and Dobson , C. 2003 . A review of remote sensing technology in support of the Kyoto Protocol. . Environment, Science and Policy , 6 : 441 – 455 .
   Web of Science ®Google Scholar
• Scanlan , J. C. 1991 . Woody overstorey and herbaceous understorey biomass in Acacia harpophylla (brigalow) woodlands. . Australian Journal of Ecology , 16 : 521 – 529 .
   Web of Science ®Google Scholar
• Specht , R. L. and Specht , A. 1999 . Australian Plant Communities: Dynamics of Structure, Growth and Biodiversity , Melbourne : Oxford University Press .
   Google Scholar
• Steininger , M. K. 2000 . Secondary forest structure and biomass following short and extended land‐use in central and southern Amazonia. . Journal of Tropical Ecology , 16 : 689 – 708 .
   Web of Science ®Google Scholar
• Tickle , P. K. , Lee , A. , Lucas , R. M. , Austin , J. and Witte , C. 2006 . Quantifying Australian forest and woodland structure and biomass using large scale photography and small footprint LiDAR. . Forest Ecology and Management , 223 : 379 – 394 .
   Web of Science ®Google Scholar
• Williams , M. L. , Manninen , T. , Kellomäki , S. , Ikonen , V. , Sievänen , R. , Lehtonen , M. , Nikinmaa , E. and Vesala , T. 2003 . Modelling the SAR response of pine forests in southern Finland. . 2 : 1350 – 1352 . Proceedings, IEEE International Geoscience and Remote Sensing Symposium (IGARSS03)
   Google Scholar
• Zagolski , F. , Pinel , V. , Romier , J. , Alcayde , D. , Fontanari , J. , Gastellu‐Etchegorry , J. P. , Giordano , G. , Marty , G. , Mougin , E. and Joffre , R. 1996 . Forest canopy chemistry with high spectral resolution remote sensing. . International Journal of Remote Sensing , 17 : 1107 – 1128 .
   Web of Science ®Google Scholar
• Zhang , J. , Rivard , B. , Sánchez‐Azofeifa , A. and Castro‐Esau , K. 2006 . Intra‐ and inter‐class spectral variability of tropical tree species at La Selva, Costa Rica: Implications for species identification using HYDICE imagery. . Remote Sensing of Environment , 105 : 129 – 141 .
   Web of Science ®Google Scholar
• Zitová , B. and Flusser , J. 2003 . Image registration methods: A survey. . Image and Vision Computing , 21 : 977 – 1000 .
   Web of Science ®Google Scholar