A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery

[1]  W. Brown.  Synthetic Aperture Radar , 1967, IEEE Transactions on Aerospace and Electronic Systems.

[2]  N. Draper,et al.  Applied Regression Analysis. , 1967 .

[3]  J. Rowe,et al.  Forest regions of Canada. , 1972 .

[4]  R. Kettig,et al.  Classification of Multispectral Image Data by Extraction and Classification of Homogeneous Objects , 1976, IEEE Transactions on Geoscience Electronics.

[5]  D. Ouellet.  Biomass prediction equations for twelve commercial species in Quebec. , 1983 .

[6]  Jerry L. Hatfield,et al.  Intercepted photosynthetically active radiation estimated by spectral reflectance , 1984 .

[7]  N. Suzumura,et al.  Classification of multispectral images , 1984 .

[8]  A. Strahler,et al.  Geometric-Optical Modeling of a Conifer Forest Canopy , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[9]  D. Ouellet.  Biomass Equations for Six Commercial Tree Species in Quebec , 1985 .

[10]  Bhaskar J. Choudhury,et al.  Relationships between vegetation indices, radiation absorption, and net photosynthesis evaluated by a sensitivity analysis , 1987 .

[11]  John Richards,et al.  L-Band Radar Backscatter Modeling of Forest Stands , 1987, IEEE Transactions on Geoscience and Remote Sensing.

[12]  D. Ruppert,et al.  Transformation and Weighting in Regression , 1988 .

[13]  F. Hall,et al.  Use of narrow-band spectra to estimate the fraction of absorbed photosynthetically active radiation , 1990 .

[14]  J. Susan Milton,et al.  Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences , 1990 .

[15]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[16]  Thuy Le Toan,et al.  Relating forest biomass to SAR data , 1992, IEEE Trans. Geosci. Remote. Sens..

[17]  Gordon B. Bonan,et al.  Importance of leaf area index and forest type when estimating photosynthesis in boreal forests , 1993 .

[18]  H. Shugart,et al.  Vegetation Dynamics and Global Change , 1993 .

[19]  V. Lemay,et al.  Effects of adding tree, stand, and site variables to Kozak's variable-exponent taper equation , 1994 .

[20]  Alan H. Strahler,et al.  Remote Estimation of Crown Size, Stand Density, and Biomass on the Oregon Transect , 1994 .

[21]  Pol Coppin,et al.  Satellite inventory of Minnesota forest resources , 1994 .

[22]  Joseph A. Wolkan,et al.  Introduction to probability and statistics , 1994 .

[23]  Guoqing Sun,et al.  Mapping biomass of a northern forest using multifrequency SAR data , 1994, IEEE Trans. Geosci. Remote. Sens..

[24]  Karl Fred Huemmrich,et al.  Remote Sensing of Forest Biophysical Structure Using Mixture Decomposition and Geometric Reflectance Models , 1995 .

[25]  T. Rotherham,et al.  Forest management certification — Objectives, international background and the Canadian program , 1996 .

[26]  K. Armson.  Forest certification and Canadian forestry — An overview and update , 1996 .

[27]  Geoffrey J. Hay,et al.  An object-specific image-texture analysis of H-resolution forest imagery☆ , 1996 .

[28]  Yonghe Wang,et al.  Canada’s Forest Biomass Resources: Deriving Estimates from Canada’s Forest Inventory , 1997 .

[29]  R. Gibbons,et al.  Weighted least-squares approach to calculating limits of detection and quantification by modeling variability as a function of concentration. , 1997, Analytical chemistry.

[30]  M. Ter-Mikaelian,et al.  Biomass equations for sixty-five North American tree species , 1997 .

[31]  Agustin Lobo,et al.  Image segmentation and discriminant analysis for the identification of land cover units in ecology , 1997, IEEE Trans. Geosci. Remote. Sens..

[32]  Riley M. Duren,et al.  Metrology, attitude, and orbit determination for spaceborne interferometric synthetic aperture radar , 1998, Defense, Security, and Sensing.

[33]  B. Parresol.  Assessing Tree and Stand Biomass: A Review with Examples and Critical Comparisons , 1999, Forest Science.

[34]  M. Nilsson,et al.  Regional forest biomass and wood volume estimation using satellite data and ancillary data , 1999 .

[35]  S. T. Gower,et al.  Direct and Indirect Estimation of Leaf Area Index, fAPAR, and Net Primary Production of Terrestrial Ecosystems , 1999 .

[36]  Werner A. Kurz,et al.  A 70-YEAR RETROSPECTIVE ANALYSIS OF CARBON FLUXES IN THE CANADIAN FOREST SECTOR , 1999 .

[37]  Derek R. Peddle,et al.  Spectral Mixture Analysis of Airborne Remote Sensing Imagery for Improved Prediction of Leaf Area Index in Mountainous Terrain, Kananaskis Alberta , 2000 .

[38]  K. O. Niemann,et al.  Local Maximum Filtering for the Extraction of Tree Locations and Basal Area from High Spatial Resolution Imagery , 2000 .

[39]  Derek R. Peddle,et al.  A Comparison of Spectral Mixture Analysis and Ten Vegetation Indices for Estimating Boreal Forest Biophysical Information from Airborne Data , 2001 .

[40]  M. Gillis.  Canada's National Forest Inventory (Responding to Current Information Needs) , 2001, Environmental monitoring and assessment.

[41]  Bernard R. Parresol,et al.  Additivity of nonlinear biomass equations , 2001 .

[42]  Yuri Zhang,et al.  A new automatic approach for effectively fusing Landsat 7 as well as IKONOS images , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[43]  Anssi Pekkarinen,et al.  Image segment-based spectral features in the estimation of timber volume , 2002 .

[44]  Douglas J. King,et al.  Shadow brightness and shadow fraction relations with effective leaf area index: importance of canopy closure and view angle in mixedwood boreal forest , 2003 .

[45]  Ranga B. Myneni,et al.  Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks , 2003 .

[46]  C. Woodcock,et al.  Forest biomass estimation over regional scales using multisource data , 2004 .

[47]  J. Greenberg,et al.  Shadow allometry: Estimating tree structural parameters using hyperspatial image analysis , 2005 .

[48]  Alan R. Gillespie,et al.  Spectral-mixture analysis , 2006 .