Large area forest classification and biophysical parameter estimation using the 5-Scale canopy reflectance model in Multiple-Forward-Mode

Remote Sensing of Environment

Volumn 89, Issue 2, 2004, Pages 252-263

  Peddle, Derek R ^a   Johnson, Ryan L ^a,c   Cihlar, Josef ^b   Latifovic, Rasim ^b  

^a UNIVERSITY OF LETHBRIDGE   (Canada)

^b CANADA CENTRE FOR REMOTE SENSING   (Canada)

^c Iunctus Geomatics Corp   (Canada)

Author keywords

5 Scale canopy reflectance model; Biophysical parameter estimation; Large area forest classification; Multiple Forward Mode

Indexed keywords

ESTIMATION; IMAGE ANALYSIS; MATHEMATICAL MODELS; REFLECTION; SATELLITES; VEGETATION;

ENHANCEMENT CLASSIFICATION METHOD (ECM);

FORESTRY;

CANOPY REFLECTANCE; FOREST COVER; LEAF AREA INDEX; REMOTE SENSING; SATELLITE IMAGERY; VEGETATION CLASSIFICATION;

CONIFEROPHYTA;

EID: 0842306357     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2002.08.001     Document Type: Article

References (41)

1. Ahern F., Brown R.J., Janetos A.C., Langham E. Global observation of forest and land cover dynamics: A CEOS initiative. Proceedings, First International Conference on Geospatial Information in Agriculture and Forestry. ERIM. Lake Buena Vista, Florida, USA, June 1-3. vol. 1:1998;73-80 ERIM Intl. Ann Arbor, MI, USA.
2. Beaubien J., Cihlar J., Simard G., Latifovic R. Land cover from multiple Thematic Mapper scenes using a new enhancement-classification methodology. Journal of Geophysical Research. 104(D22):1999;27909-27920.
3. Beaubien, J., Latifovic, R., Cihlar, J., Simard, G., 2000. Land cover classification of the BOREAS Transect derived from Landsat Thematic Mapper data. Project TE-16, a contribution to BOREAS Follow-On investigation, Canadian Forest Service and Canada Centre for Remote Sensing.
4. Chen J., Pavlic G., Brown L., Cihlar J., Leblanc S.G., White H.P., Hall R.J., Peddle D.R., King D.J., Trofymow J.A., Swift E., Van der Sanden J., Pellikka P.K.E. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high resolution satellite imagery and ground measurements. Remote Sensing of Environment. 80(1):2002;165-184.
5. Chen J.M., Cihlar J. Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index. Applied Optics. 34(27):1995;6211-6222.
6. Chen J.M., Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sensing of Environment. 55:1996;153-162.
7. Chen J.M., Cihlar J., Penner M. Retrieval of boreal forest leaf area index from multiple scale remotely sensed data. Newcomer J.et al. Collected data of BOREAS. 2000;NASA GSFC. (CD-ROM). NASA GSFC, NP-2000-2-014-GSFC, available at http://www-eosdis.oral.gov.
8. Chen J.M., Leblanc S.G. A 4-scale bidirectional reflection model based on canopy architecture. IEEE Transactions on Geoscience and Remote Sensing. 35:1997;1316-1337.
9. Chen J.M., Leblanc S.G. Multiple-scattering scheme useful for geometric optical modelling. IEEE Transactions on Geoscience and Remote Sensing. 39(5):2001;1061-1071.
10. Cihlar J. Land cover mapping of large areas from satellites: Status and research priorities. International Journal of Remote Sensing. 21:2000;1093-1114.
11. Cihlar J., Chen J., Li Z., Latifovic R., Fedosejevs G., Adair M., Park W., Fraser R., Trishchenko A., Guindon B., Stanley D., Morse D. GeoComp-n, an advanced system for the processing of coarse and medium resolution satellite data: Part 2. Biophysical products for northern ecosystems. Canadian Journal of Remote Sensing. 28(1):2002;21-44.
12. Cihlar, J., Denning, S., Ahern, F., Anno, O., Belward, A., Bretherton, F., Cramer, W., Dedieu, G., Field, C., Francey, R., Gommes, R., Gosz, J., Hibbard, K., Igarashi, T., Kabat, P., Olsen, D., Plummer, S., Rasool, I., Raupach, M., Scholes, R., Townshend, J., Valentini, R., & Wickland, D. (2002). Initiative to quantify terrestrial carbon sources and sinks. EOS Transactions, American Geophysical Union, 83 (1), 1, 6-7.
13. Cihlar J., Jansen L. From land cover to land use: A methodology for efficient land use mapping over large areas. The Professional Geographer. 53:2001;275-289.
14. Cihlar J., Xiao Q., Beaubien J., Fung K., Latifovic R. Classification by Progressive Generalization: A new automated methodology for remote sensing multichannel data. International Journal of Remote Sensing. 19:1998;2685-2704.
15. Dawson T.P., Curran P.J., Plummer S.E. LIBERTY - Modelling the effects of leaf biochemistry on reflectance spectra. Remote Sensing of Environment. 65:1998;50-60.
16. Du Y., Cihlar J., Beaubien J., Latifovic R. Radiometric normalization, compositing and quality control for satellite high resolution image mosaics over large areas. IEEE Transactions on Geoscience and Remote Sensing. 39(3):2001;623-634.
17. Franklin S.E. Remote sensing for sustainable forest management. 2001;CRC Press, Boca Raton, FL, USA. 407 pp.
18. GOFC, 2002. Global Observation of Forest Cover (GOFC) ( http://www.gofc.org/gofc/ ). Panel component of the Global Terrestrial Observing System (GTOS). Available at http://www.fao.org/gtos/gofc-gold/index. html .
19. Guindon B. Assessing the radiometric fidelity of high resolution satellite image mosaics. ISPRS Journal of Photogrammetry and Remote Sensing. 52:1997;229-243.
20. Hall F.G. BOREAS in 1999: Experiment and science overview. Journal of Geophysical Research. 104(D22):1999;27,627-27,639.
21. Hall F.G., Knapp D.E., Huemmrich K.F. Physically based classification and satellite mapping of biophysical characteristics in the southern boreal forest. Journal of Geophysical Research. 102(D24):1997;29567-29580. BOREAS Special Issue.
22. Hall F.G., Peddle D.R., LeDrew E.F. Remote sensing of biophysical variables in boreal forest stands of picea mariana. International Journal of Remote Sensing. 17(15):1996;3077-3081.
23. Hall F.G., Shimabukuro Y.E., Huemmrich K.F. Remote sensing of forest biophysical structure in boreal stands of Picea mariana using mixture decomposition and geometric reflectance models. Ecological Applications. 5(4):1995;993-1013.
24. Johnson R.L., Peddle D.R., Hall R.J. A modeled-based sub-pixel scale mountain terrain normalization algorithm for improved LAI estimation from airborne casi imagery. Proceedings, 22nd Canadian Symposium on Remote Sensing, Victoria, BC., Canada. 2000;415-424 Canadian Aeronautics and Space Institute, Ottawa.
25. Leblanc S.G., Bicheron P., Chen J.M., Leroy M., Cihlar J. Investigation of directional reflectance in boreal forests using an improved 4-Scale model and airborne POLDER data. IEEE Transactions on Geoscience and Remote Sensing. 37(3):1999;1396-1414.
26. Leblanc S.G., Chen J.M. A windows Graphic User Interface (GUI) for the five-scale model for fast BRDF simulations. Remote Sensing Reviews. 19:2000;293-305. Special IWMMM-2 issue.
27. Li X., Strahler A.H. Geometric-optical modeling of a conifer forest canopy. IEEE Transactions on Geoscience and Remote Sensing. GE-23(5):1985;705- 720.
28. Newcomer J., Landis D., Conrad S., Curd S., Huemmrich K., Knapp D., Morrell A., Nickeson J., Papagno A., Rinker D., Strub R., Twine T., Hall F., Sellers P. Collected data of the boreal ecosystem-atmosphere study. 2000;NASA. (CD-ROM Set). NASA GSFC, NP-2000-2-014-GSFC, available at http://www-eosdis. oral.gov.
29. Neyman J. On a new class of 'contagious' distribution applicable in entomology and bacteriology. Annals of Mathematical Statistics. 10:1939;35-57.
30. Peddle, D.R. (1999a). Multiple-Forward-Mode (MFM) reflectance modeling: A new approach to obtaining forest physical-structural information by radiative transfer inversion of remote sensing imagery. Unpublished Internal Document, Department of Geography, University of Lethbridge, Lethbridge, Alberta. February 1999.
31. Peddle D.R. Integration of a geometric optical reflectance model with an evidential reasoning image classifier for improved forest information extraction. Canadian Journal of Remote Sensing. 25(2):1999;189-196. Special Issue on Remote Sensing Models and Image Processing.
32. Peddle D.R., Brunke S.P., Hall F.G. A comparison of spectral mixture analysis and ten vegetation indices for estimating boreal forest biophysical information from airborne data. Canadian Journal of Remote Sensing. 27(6):2001;627-635.
33. Peddle D.R., Franklin S.E., Johnson R.L., Lavigne M.A., Wulder M.A. Structural change detection in a disturbed conifer forest using a geometric optical reflectance model in multiple-forward mode. IEEE Transactions on Geoscience and Remote Sensing. 41(1):2003;163-166.
34. Peddle D.R., Hall F.G., LeDrew E.F. Spectral mixture analysis and geometric optical reflectance modeling of boreal forest biophysical structure. Remote Sensing of Environment. 67(3):1999;288-297.
35. Peddle D.R., Hall F.G., LeDrew E.F., Knapp D.E. Classification 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. 23(2):1997;131-142. Special Issue: BOREAS.
36. Peddle D.R., Johnson R.L., Cihlar J., Leblanc S.G., Chen J.M. MFM-5-Scale: A physically-based inversion modeling approach for unsupervised cluster labeling and independent forest landcover classification. Canadian Journal of Remote Sensing. 2003;. (accepted).
37. Peddle D.R., Johnson R.L., Guindon B., Latifovic R., Fedosejevs G., Pavlic G., Cihlar J. Forest classification by multiple forward mode 5-Scale modeling. Proceedings, 23rd Canadian Symposium on Remote Sensing, Quebec City, PQ, Canada. August 21-24. 2001;79-87 Canadian Aeronautics and Space Institute, Ottawa.
38. Peddle D.R., Luther J.E., Pilger N., Piercey D. Forest biomass estimation using a physically-based 3-D structural modeling approach for Landsat TM cluster labeling. Proceedings, 25th Canadian Symposium on Remote Sensing, Montreal, PQ., Canada. Oct. 14-17. 2003;Canadian Aeronautics and Space Institute, Ottawa. (CD-ROM). 10 pp.
39. Thome K., Markham B., Barker J., Slater P., Biggar S. Radiometric calibration of Landsat. Photogrammetric Engineering and Remote Sensing. 63(7):1997;853-858.
40. Vermote E., Tanre D., Deuze J.L., Herman M., Marcotte J.J. Second simulation of the satellite signal in the solar spectrum: An overview. IEEE Transactions on Geoscience and Remote Sensing. 35:1997;675-686.
41. Wulder M. Optical remote sensing techniques for the assessment of forest inventory and biophysical parameters. Progress in Physical Geography. 22(4):1998;449-476.