Discrimination of conifer height, age and crown closure classes using Landsat-5 TM imagery in the Canadian Northwest Territories

References

• ANDERSEN , G. L. 1998 . Classification and Estimation of Forest and Vegetation Variables in Optical High Resolution Satellites: A Review of Methodologies , Interim Report IR-98-085 Laxenburg , , Austria : International Institute for Applied Systems Analysis .
   Google Scholar
• BEAUBIEN , J. 1979 . Forest type mapping from Landsat digital data . Programmetric Engineering and Remote Sensing , 45 : 1135 – 1144 .
   Web of Science ®Google Scholar
• BURNS , R. M. and HONKALA , B. H. 1990a . Sites of North America, Volume 1, Softwoods, Agriculture Handbook 654 , Volume 1 , Washington, DC : Forest Service, United States Department of Agriculture .
   Google Scholar
• BURNS , R. M. and HONKALA , B. H. 1990b . Silvics of North America, Volume 2, Hardwoods, Agriculture Handbook 654 , Volume 2 , Washington, DC : Forest Service, United States Department of Agriculture .
   Google Scholar
• COHEN , W. B. and SPIES , T. A. 1992 . Estimating structural attributes of Douglas-fir/western hemlock forest stands from Landsat and SPOT Imagery . Remote Sensing of Environment , 41 : 1 – 17 .
   Web of Science ®Google Scholar
• COHEN , W. B. , SPIES , T. A. and FIORELLA , M. 1995 . Estimating the age and structure of forests in a multi-ownership landscape of Western Oregon, USA . International Journal of Remote Sensing , 16 : 721 – 746 .
   Web of Science ®Google Scholar
• DAY , J. H. 1968 . Soils of the Upper Mackenzie River Area , Ottawa : Research Branch, Canada Department of Agriculture . Queen's Printer and Controller of Stationery,
   Google Scholar
• DE WULF , R. R. , GOOSSENS , R. E. , DE ROOVER , B. P. and BORRY , F. A. 1990 . Extraction of forest stand parameters from Panchromatic and Multispectral SPOT-1 Data . International Journal of Remote Sensing , 11 : 1571 – 1588 .
   Web of Science ®Google Scholar
• ECOLOGICAL STRATIFICATION WORKING GROUP . 1995 . A National Ecological Framework of Canada, report and national map at 1:7500 000 scale , Ottawa/Hull : Agriculture and Agri-Food Canada, Research Branch, Centre for Land and Biological Resources Research and Environment Canada, State of the Environment Directorate, Ecozone Analysis Branch .
   Google Scholar
• FIORELLA , M. and RIPPLE , W. J. 1993 . Determining successional stage of temperate coniferous forests with Landsat satellite data . Programmetric Engineering and Remote Sensing , 59 : 239 – 246 .
   Web of Science ®Google Scholar
• FOREST MANAGEMENT DIVISION . 1997 . Acho Dene Koe Traditional Territory Integrated Resources Management Plan, prepared for the Community of Fort Liard, NWT , Yellowknife : Northwest Territories: Dept of Resources Wildlife and Economic Development .
   Google Scholar
• FRANKLIN , J. 1986 . Thematic Mapper analysis of conifer forest structure and composition . International Journal of Remote Sensing , 7 : 1287 – 1301 .
   Web of Science ®Google Scholar
• FRANKLIN , J. and WOODCOCK , C. E. 1997 . “ Multiscale vegetation data for the mountains of southern California: spatial and categorical resolution ” . In Scale in Remote Sensing and GIS , Edited by: Quattrochi , D. A. and Goodchild , M. F. 141 – 168 . Boca Raton , Florida : CRC Press .
   Google Scholar
• FRANKLIN , J. , WOODCOCK , C. E. and WARBINGTON , R. 2000 . Multi-attribute vegetation maps of forest lands in California supporting resource management decisions . Photogrammetric Engineering and Remote Sensing , 66 : 1209 – 1217 .
   Web of Science ®Google Scholar
• FRANKLIN , S. E. 1994 . Discrimination of subalpine forest species and canopy density using digital CASI, SPOT PLA and Landsat TM data . Photogrammetric Engineering and Remote Sensing , 60 : 1233 – 1241 .
   Web of Science ®Google Scholar
• FRANKLIN , S. E. and LUTHER , J. E. 1995 . Satellite remote sensing of balsam fir forest structure, growth, and cumulative defoliation . Canadian Journal of Remote Sensing , 21 : 400 – 411 .
   Google Scholar
• GEMMELL , F. M. 1995 . Effects of forest cover, terrain, and scale on timber volume estimation with Thematic Mapper data in a Rocky Mountain site . Remote Sensing of Environment , 51 : 291 – 305 .
   Web of Science ®Google Scholar
• GEMMELL , F. M. 1998 . An investigation of terrain effects on the inversion of a reflectance model . Remote Sensing of Environment , 65 : 155 – 169 .
   Web of Science ®Google Scholar
• GEMMELL , F. M. 2000 . Testing the utility of multi-angle spectral data for reducing the effects of background spectral variations in forest reflectance model inversion . Remote Sensingof Environment , 72 : 46 – 63 .
   Web of Science ®Google Scholar
• GERYLO , G. R. , HALL , R. J. and FRANKLIN , S. E. 2002 . Empirical relations between Landsat TM reflectance and forest stands in the Deh Cho Forest Management Region, Northwest Territories, Canada . Canadian Journal of Remote Sensing , 28 : 68 – 79 .
   Web of Science ®Google Scholar
• GHITTER , G. S. , HALL , R. J. and FRANKLIN , S. E. 1995 . Variability of Landsat Thematic Mapper data in boreal deciduous and mixedwood stands with conifer understory . International Journal of Remote Sensing , 16 : 2989 – 3002 .
   Web of Science ®Google Scholar
• HARALICK , R. M. 1979 . Statistical and structural approaches to texture . Proceedings of the IEEE , 65 : 786 – 804 .
   Google Scholar
• HARALICK , R. M. 1986 . “ Statistical image texture analysis ” . In Handbook of Pattern Recognition and Image Processing , Edited by: Young , T. Y. and Fu , K.S. 247 – 279 . New York : Academic Press .
   Google Scholar
• HARALICK , R. M. , SHANMUGAM , K. and DINSTEIN , I. 1973 . Texture features for image classification . IEEE Transactions on Systems, Man, and Cybernetics , 3 : 610 – 621 .
   Web of Science ®Google Scholar
• JAKUBAUSKAS , M. E. 1996 . Thematic Mapper characterization of Lodgepole Pine serai stages in Yellowstone National Park, USA . Remote Sensing of Environment , 56 : 118 – 132 .
   Web of Science ®Google Scholar
• JENSEN , J. R. , QIU , F. and MINHE , J. 1999 . Predictive modeling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data . International Journal of Remote Sensing , 20 : 2805 – 2822 .
   Web of Science ®Google Scholar
• JOHNSON , D. 1996 . The Plants of the Western Boreal Forest & Aspen Parkland , Edmonton, Alberta , , Canada : Lone Pine Publishing .
   Google Scholar
• JUPP , D. L. B. and WALKER , J. 1997 . “ Detecting structural and growth changes in woodlands and forests: the challenge for remote sensing and the role of geometric-optical modelling ” . In The Use of Remote Sensing in The Modelling of Forest Productivity , Edited by: Gholz , H. L. , Nakane , K. and Shimoda , H. 75 – 108 . Dordrecht , , The Netherlands : Kluwer Academic Publishers .
   Google Scholar
• KIMES , D. S. , HOLBEN , B. N. , NICKESON , J. E. and McKEE , W. A. 1996 . Extracting forest age in a Pacific northwest forest from Thematic Mapper and topographic data . Remote Sensing of Environment , 56 : 133 – 140 .
   Web of Science ®Google Scholar
• LIEFFERS , V. J. , MACMILLAN , R. B. , MACPHERSON , D. , BRANTER , K. and STEWART , J. D. 1996 . Semi-natural and intensive silvicultural systems for the boreal mixedwood forest . The Forestry Chronicle , 72 : 286 – 292 .
   Web of Science ®Google Scholar
• NILSON , T. and PETERSON , U. 1994 . Age dependence of forest reflectance: analysis of main driving factors . Remote Sensing of Environment , 48 : 319 – 331 .
   Web of Science ®Google Scholar
• PEDDLE , D. R. , HALL , F. G. and LEDREW , E. F. 1999 . Spectral mixture analysis and geometricoptical reflectance modeling of boreal forest biophysical structure . Remote Sensing of Environment , 67 : 288 – 297 .
   Web of Science ®Google Scholar
• Poso , S. , HAME , T. and PAANANEN , R. 1984 . A method of estimating the stand characteristics of a forest compartment using satellite imagery . Silva Fennica , 18 : 261 – 292 .
   Google Scholar
• RICHTER , R. 1990 . A fast atmospheric correction algorithm applied to Landsat TM images . International Journal of Remote Sensing , 11 : 159 – 166 .
   Web of Science ®Google Scholar
• RIPPLE , W. J. , WANG , S. , ISAACSON , D. L. and PAINE , D. P. 1991 . A preliminary comparison of Landsat TM and SPOT-1 HRV multispectral data for estimating coniferous forest volume . International Journal of Remote Sensing , 12 : 1971 – 1977 .
   Web of Science ®Google Scholar
• ROWE , J. S. 1972 . Forest Regions of Canada , Canadian Forest Service Publication No. 1300 Ottawa , Ontario : Environment Canada .
   Google Scholar
• SALVADOR , R. and PONS , X. 1998 . On the reliability of Landsat TM for estimating forest variables by regression techniques: a methodological analysis . IEEE Transactions on Geoscience and Remote Sensing , 36 : 1888 – 1897 .
   Web of Science ®Google Scholar
• SKIDMORE , A. K. 1989 . An expert system classifies eucalypt forest types using Thematic Mapper data and a digital terrain model . Photogrammetric Engineering and Remote Sensing , 55 : 1449 – 1464 .
   Web of Science ®Google Scholar
• SPANNER , M. A. , PIERCE , L. L. , RUNNING , S. W. and PETERSON , D. L. 1990 . Remote sensing of temperate coniferous forest leaf area index: the influence of canopy closure, understory vegetation, and background spectral response . International Journal of Remote Sensing , 11 : 95 – 111 .
   Web of Science ®Google Scholar
• TROTTER , C. M. , DYMOND , J. R. and GOULDING , C. J. 1997 . Estimation of timber volume in a coniferous plantation forest using Landsat TM . International Journal of Remote Sensing , 18 : 2209 – 2223 .
   Web of Science ®Google Scholar
• WILSON , B. A. , Ow , C. F. , HEATHCOTT , M. , MILNE , D. , MCCAFFREY , T. M. , GHITTER , G. S. and FRANKLIN , S. E. 1994 . Landsat MSS classification of fire fuel types in Wood Buffalo National Park . Global Ecology and Biogeography Letters , 4 : 33 – 39 .
   Web of Science ®Google Scholar
• WOODCOCK , C. E. , COLLINS , J. B. , JAKABHAZY , V. D. , LI , X. , MACOMBER , S. A. and Wu , Y. 1997 . Inversion of the Li-Strahler canopy reflectance model for mapping forest structure . IEEE Transactions on Geoscience and Remote Sensing , 35 : 405 – 414 .
   Web of Science ®Google Scholar
• WULDER , M. A. 1998a . Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters . Progress in Physical Geography , 22 : 449 – 476 .
   Web of Science ®Google Scholar
• WULDER , M. A. 1998b . The prediction of leaf area index from forest polygons decomposed through the integration of remote sensing, GIS, Unix, and C . Computers and Geosciences , 24 : 151 – 157 .
   Web of Science ®Google Scholar
• WYNNE , R. H. , ODERWALD , R. G. , REAMS , G. A. and SCRIVANI , J. A. 2000 . Optical remote sensing for forest area estimation . Journal of Forestry , 98 : 31 – 36 .
   Web of Science ®Google Scholar