Spectral mixture analysis of airborne remote sensing imagery for improved prediction of leaf area index in mountainous terrain, kananaskis alberta

Canadian Journal of Remote Sensing

Volumn 26, Issue 3, 2000, Pages 177-188

  Peddle, Derek R ^a   Johnson, Ryan L ^a  

^a UNIVERSITY OF LETHBRIDGE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; IMAGE ANALYSIS; MATHEMATICAL MODELS; SPECTRUM ANALYSIS; VIDEO CAMERAS;

AIRBORNE REMOTE SENSING IMAGERY; LEAF AREA INDEX; MOUNTAINOUS TERRAIN; SPECTRAL MIXTURE ANALYSIS;

REMOTE SENSING;

FORESTS;

EID: 0034197094     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.1080/07038992.2000.10874768     Document Type: Article

References (47)

1. Adams, J.B., M.O. Smith and A.R. Gillespie. 1993. “Imaging Spectroscopy: Interpretation Based on Spectral Mixture Analysis”, In Topics in Remote Sensing IV: Remote Geochemical Analysis, p. 145-166. Pieters and Englert (eds.). Cambridge
2. Anger, C.D., S. Mah, and S. Babey. 1994. “Technological Enhancements to the Compact Airborne Spectrographic Imager (CASI)”, In: Proceedings, First International Conference on Airborne Remote Sensing, Strasbourg, France. Vol II, p. 205-213
3. Archibald, J.H., GD. Klappstein and I.GW. Corns. 1996. Field Guide to Ecosites of Southwestern Alberta. Canadian Forest Service, Northern Forestry Centre, Edmonton AB. (UBC Press, Vancouver)
4. AVI. 1991. Alberta Vegetation Inventory Standards Manual, v.2.1. Alberta Forestry, Lands and Wildlife, Land Information Services Division, Resource Information Branch, Edmonton AB
5. Baret, F. and G. Guyot. 1991. “Potentials and Limits of Vegetation Indices for LAI and APAR Assessment”, Remote Sensing of Environment, 35:161-173
6. CCFM. 1997. Canadian Council of Forest Ministers: “Criteria and Indicators for Sustainable Forest Management in Canada: Technical Report”, Natural Resources Canada - Canadian Forest Service. Ottawa Ontario
7. Chen, J.M. and J. Cihlar. 1995. “Plant Canopy Gap Size Analysis Theory for Improving Optical Measurements of Leaf Area Index of Plant Canopies”, Applied Optics. 34(27): 6211-6222
8. Chen, J.M. and J. Cihlar. 1996. “Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images”, Remote Sensing of Environment 55:153-162
9. Curran, P.J. and H.D. Williamson. 1987. “GLAI Estimation Using Measurements of Red, Near Infrared, and Middle Infrared Radiance”, Photogrammetric Engineering ’ Remote Sensing, 53(2): 181-186
10. D. Decagon. 1994. “AccuPAR Ceptometer Operator's Manual: Light Interception, Crop and Timber Analysis”, Version 2.1. Decagon Devices Inc., Pullman, Washington. 120 p
11. ENVI. 1998. “The Environment for Visualizing Images: ENVI 3.0 and 1DL 5.0 User's Manuals”, Research Systems Inc., Boulder Colorado USA. Variously paged
12. Franklin, S.E. 1992. “Satellite Remote Sensing of Forest Type and Land Cover in the Subalpine Forest Region, Kananaskis Valley, Alberta”, Geocarto International. 4:25-35
13. Franklin, S.E, M.B. Lavigne, M.J. Deuling, M.A. Wulder and E.R. Hunt, Jr. 1997. “Estimation of Forest Leaf Area Index Using Remote Sensing and GIS Data for Modelling Net Primary Production”, International Journal of Remote Sensing. 18(16): 3459-3471
14. Frazer, GW., Trofymow, J.A., and Lertzman, K.P. 1997. “A Method for Estimating Canopy Openness, Effective Leaf Area Index, and Photosynthetically Active Photon Flux Density Using Hemispherical Photography and Computerized Image Analysis Techniques”, Information Report. BC-X-373, Pacific Forestry Centre, Victoria B.C
15. Gemmell, F. 1998. “An Investigation of Terrain Effects on the Inversion of a Forest Reflectance Model”, Remote Sensing of Environment. 65: 155-169
16. k Canadian Symposium on Remote Sensing, Ottawa, Canada. Published on CD-ROM
17. Gu, D. and A. Gillespie. 1998. "Topographic Normalization of Landsat TM images of Forest Based on Subpixel Sun-Canopy-Sensor Geometry", Remote Sensing of Environment. 64: 166-175
18. Hall, F.G, Y.F. Shimabukuro and K.F. Huemmricli. 1995. “Remote Sensing of Forest Biophysical Structure in Boreal Stands of Picea Mariana Using Mixture Decomposition and Geometric Reflectance Models”, Ecological Applications. 5(4): 993-1013
19. Hall, F.G, D.H. Knapp and K.F. Huemmrich. 1997. “Physically Based Classillcation and Satellite Mapping of Biophysical Characteristics in the Southern Boreal Forest”, Journal of Geophysical Research, BOREAS SpecialIssue, 12-26-97. I02(D24): 29567-29580
20. Hall, R.I., G Gerylo, and S.F. Franklin. 1998. "Estimation of Stand Volume from High Resolution Multispectral Images", In, Proceedings. 20th Canadian Symposium on Remote Sensing, Calgary, AB, Canada, p. 191-196
21. Johnson, R.E., D.R. Peddle, R.I. Hall and S. Mah. 1999. “Spectral Mixture Analysis of Montane Forest Biophysical Parameters: A Comparison of F.ndmembers from Airborne Imagery and a Field Spectroradiometer", Proceedings. 4'" International Airborne Remote Sensing Conference and 21" Canadian Symposium on Remote Sensing, Ottawa, Canada. Vol. II, p. 107-114
22. Johnson, R.I. 2000. “Airborne Remote Sensing of Forest Leaf Area Index in Mountainous Terrain", M Sc Thesis, Department of Geography, University of Lethbridge. Lethbridge, Alberta, Canada. 120 p
23. King, D.J. 1995. “Airborne Multispectral Digital Camera and Video Sensors: A Critical Review of System Designs and Applications", Canadian Journal of Remote Sensing. 21(3), p. 245-273
24. Kirby, C. 1973. "The Kananaskis Forest Experimental Station", Alberta. Northern Forestry Centre Information Report NOR-X-51. Edmonton, AB. 50 p
25. Li, X. and ATI. Strahler. 1992. “Geometric-Optical Bidirectional Reflectance Modeling of the Discrete Crown Vegetation Canopy: Effect of Crown Shape and Mutual Shadowing", IEEE Transactions on Geoscience and Remote Sensing, 30(2):276-292
26. Noble A.D. and Schumann A.W. 1992. "The Indirect Measurement of Leaf Area Index (LAI) Using a Hand Held Ceptometer”, ICFR Bulletin 31/92. [http://www.icfrnet.unp.ac.za/bulletin/31-92/index.htm]
27. PCI, 1997. “Easi/Pace Image Analysis System User's Manuals”, v.6.2. Perceptron Computing Inc., Richmond Hill, Ontario, Canada. Variously paged
28. Peddle, D.R., F.G Hall, W.Wanner and E.F. LeDrew. 1995. “Remote Sensing of Photosynthetic Activity in Boreal Forest Stands Using Spectral Mixture Analysis and Geometric-Optical Reflectance Models", In: Proceedings. 10"'International Congress on Photosynthesis and Remote Sensing, Montpellier, France, p. 159-170
29. Peddle, D.R., F.G. Hall, E.F. LeDrew and D.E. Knapp. 1997. “Classillcation of Forest Land Cover in BOREAS. II: Comparison of Results from a Sub-pixel Scale Physical Modeling Approach and a Training Based Method", Canadian Journal of Remote Sensing. BOREAS SpecialIssue. 23(2), p. 131-142
30. Peddle, D.R., F.G. Hall and E.F. LeDrew. 1999. “Spectral Mixture Analysis and Geometric Optical Reflectance Modeling of Boreal Forest Biophysical Structure", Remote Sensing of Environment. 67(3): 288-297
31. Peddle, D. R. 1999. “Integration of a Geometric Optical Reflectance Model with an Evidential Reasoning Image Classifier for Improved Forest Information Extraction", Canadian Journal of Remote Sensing. SpecialIssue on Remote Sensing Models and Image Processing. 25(2), p. 189-196
32. Peddle, D.R., D.P. Davidson, R.L. Johnson and R.I. Hall. 1999. “Airborne Image Texture and Mixture Analysis of a Forest Scale Continuum: A Comparison with NDVI Biophysical Estimates, Kananaskis Alberta.” Proceedings, 4"’ International Airborne Remote Sensing Conference and 21" Canadian Symposium on Remote Sensing, Ottawa, Canada. Vol. II, p. 848-855
33. Pierce, E. L. and S.W. Running. 1988. "Rapid Estimation of Coniferous Forest Leaf Area Index Using a Portable Integrating Radiometer", Ecology 69(6), p. 1762-1767
34. Piwowar, J.M., D.R. Peddle and E.F. LeDrew. 1998. “Temporal Mixture Analysis of Arctic Sea Ice Imagery: A New Approach for Monitoring Environmental Change”, Remote Sensing of Environment. 63(3), p. 195-207
35. Piwowar, J.M., D.R. Peddle and D.P. Davidson. 1999. "Assessing Annual Forest Ecological Change in Western Canada Using Temporal Mixture Analysis of Regional Scale AVHRR Imagery Over a 14 Year Period", Proceedings, 4International Airborne Remote Sensing Conference and 21" Canadian Symposium on Remote Sensing, Ottawa, Canada. Vol. II, p. 91-98
36. Roberts, A. 1995. "Integrated MSV Airborne Remote Sensing", Canadian Journal of Remote Sensing. 21(3), p. 214-224
37. Rowe, J.S. 1972. "Forest Regions of Canada", Environment Canada, Canadian Forest Service, Ottawa, ON. Publication No. 1300, 172 pp
38. Running, S.W., D.E. Peterson, M.A. Spanner and K. Tueber. 1986. “Remote Sensing of Conifierous Forest Leaf Area”, Ecology, 67(1):273-276
39. 1 19Canadian Symposium on Remote Sensing, Ottawa. Canada. Published on CD-ROM
40. Sellers, P.J. and D. Schimel. 1993. “Remote Sensing of the Land Biosphere and Biogeochemistry in the EOS Era: Science Priorities, Methods and Implementation”, Global and Planetary Change, 7:279-297
41. Shimabukuro, Y.S. and J.A. Smith. 1991. "The Least-Squares Mixing Models to Generate Fraction Images Derived from Remote Sensing Multispectral Data”, IEEE Transactions on Geoscience and Remote Sensing, 29(I): 16-20
42. Spanner, M.A., L.L. Pierce, D.L. Peterson and S.W. Running. 1990. “Remote Sensing of Temperate Coniferous Forest Leaf Area Index: The Influence of Canopy Closure, Understorey Vegetation and Background Reflectance”, International Journal of Remote Sensing, 11(1):95- 11
43. Welles, J.M. 1990. “Some Indirect Methods of Estimating Canopy Structure, Instrumentation for Studying Vegetation Canopies for Remote Sensing in Optical and Thermal Infrared Regions". Remote Sensing Reviews. 5:1-12
44. White, J.D., S.W. Running, R. Nemani, R.E. Keane and K.C. Ryan. 1997. “Measurement and Remote Sensing of LAI in Rocky Mountain Montane Ecosystems", Canadian Journal of Forest Research. 27: p. 1714-1727
45. Wulder, M.A. 1998a. "Optical Remote-Sensing Techniques for the Assessment of Forest Inventory and Biophysical Parameters", Progress in Physical Geography. 4(2): 449-476
46. Wulder, M.A. 1998b. "T he Prediction of Leaf Area Index from Forest Polygons Decomposed through the Integration of Remote Sensing”, G1S, Unix, and C. Computers ’ Geosciences. 24(2): p. 151-157
47. Wulder, M.A. E.F. LeDrew, S.E. Franklin, and M. Lavigne, 1998. "Aerial Image Texture Information in the Estimation of Northern Deciduous and Mixed Wood Forest Leaf Area Index (LAI)”, Remote Sensing of Environment. 64: 64-76