Forest attribute estimation of northeastern Canadian forests using QuickBird imagery and a shadow fraction method

Forest Ecology and Management

Volumn 266, Issue , 2012, Pages 66-74

  Leboeuf, A ^a,b   Fournier, R A ^a   Luther, J E ^c   Beaudoin, A ^c   Guindon, L ^c  

^a UNIVERSITÉ DE SHERBROOKE   (Canada)

^b MINISTÈRE DES RESSOURCES NATURELLES ET DE LA FAUNE   (Canada)

^c LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

Boreal forest; Forest inventory; Mapping; Remote sensing; Stand attributes; Volume

Indexed keywords

BASAL AREA; BIAS ESTIMATE; BLACK SPRUCE; BOREAL FORESTS; CANADIAN FORESTS; CROWN CLOSURES; FOREST INVENTORY; FOREST STAND; GOODNESS OF FIT; HIGH SPATIAL RESOLUTION; LINEAR REGRESSION MODELS; LOCAL REGRESSION MODELS; NORTHEASTERN FORESTS; PANCHROMATIC BANDS; PANCHROMATIC IMAGES; PICEA MARIANA; QUICKBIRD; QUICKBIRD IMAGES; QUICKBIRD SATELLITE; RASTER IMAGE; REGRESSION MODEL; ROOT MEAN SQUARE ERRORS; SITE-SPECIFIC; SPATIAL RESOLUTION; STAND ATTRIBUTES; STAND VOLUME; TEST SITE; VOLUME;

ESTIMATION; FORESTRY; IMAGE RESOLUTION; MEAN SQUARE ERROR; PLANT SHUTDOWNS; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; TESTING;

MAPPING;

BOREAL FOREST; CONIFEROUS FOREST; FOREST INVENTORY; GUIDELINE; PANCHROMATIC IMAGE; POLYGON; QUICKBIRD; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; STAND STRUCTURE; VOLUME;

ERRORS; ESTIMATION; FORESTRY; FORESTS; IMAGE ANALYSIS; INVENTORY CONTROL; MAPPING; PROPERTIES; REGRESSION ANALYSIS; REMOTE SENSING; RESOLUTION; SATELLITES; SHUTDOWN; VOLUME;

CANADA;

PICEA MARIANA;

EID: 82155176183     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2011.11.008     Document Type: Article

References (34)

1. Avery T.E., Burkhart H.E. Forest Measurements 2001, McGraw-Hill, New York. fifth ed.
2. Baatz M., Benz U., Dehghani S., Heynan M., Höltje A., Hofmann P., Lingenfelder I., Mimler M., Sohlabach M., Weber M., Willhauck G. ECognition User Guide 4 2004, Definiens Imaging, Munich, Germany.
3. Beaudoin A., Guindon L., Lambert M.C., Ung C.H., Simard G., Luther J.E., Fournier R. A method for scaling up biomass of Canadian subarctic forests from tree to landscape levels using ground plots, QuickBird and Landsat data. Proceedings of the 25th Canadian Remote Sensing Symposium and 11th Congress of the Association québécoise de télédétection, 14-16 October 2003 2003, Montreal, Quebec.
4. Beaudoin A., Guindon L., Hall R.J., Luther J.E., Fournier R.A. A strategy to map biomass of Canadian northern boreal forests using multi-sensor/multi-resolution imagery: approach, methods and preliminary results. Proceedings of Forestsat 2007, 5-7 November 2007 2007, Montpellier, France.
5. Benz U.C., Hofmann P., Willhauck G., Lingenfelder I., Heynen M. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J. Photogram. Rem Sens. 2004, 58:239-258.
6. Bickerstaff, A., Hostikka, S.A., 1977. Growth of forests in Canada. Part 1: an annotated bibliography. Natural Resources Canada, Canadian Forest Service Inf. Report FMR-X-98.
7. Carroll R.J., Ruppert D. Transformation and Weighting in Regression 1988, Chapman & Hall, New York.
8. ECognition, version 3.1 2002, Definiens Inc., Definiens Inc., Boulder, Colorado.
9. Gillis M.D. Canada's national forest inventory (responding to current information needs). Environ. Monit. Assess. 2001, 67:121-129.
10. Gougeon, F.A., Leckie, D.G., 2003. Forest information extraction from high spatial resolution images using an individual tree crown approach. Natural Resources Canada, Canadian Forest Service - Pacific Forestry Centre Inf. Rep BC-X-396.
11. Greenberg J.A., Dobrowski S.Z., Ustin S.L. Shadow allometry: estimating tree structural parameters using hyperspatial image analysis. Remote Sens. Environ. 2005, 97:15-25.
12. Hyyppä J., Hyyppä H., Inkinen M., Engdahl M., Linko S., Zhu Y.H. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. Remote Sens. Environ. 2000, 128:109-120.
13. Ker, M.F. 1974. Metric yield tables for the major forest cover types of Newfoundland. Natural Resources Canada, Canadian Forest Service - Atlantic Forestry Centre, Inf. Rep. M-X-141.
14. Leboeuf A., Beaudoin A., Fournier R.A., Guindon L., Luther J.E., Lambert M.C. A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery. Remote Sens. Environ. 2007, 110:488-500.
15. Letourneau J.P., Bard A., Lambert J. Normes de cartographie écoforestière. Troisième inventaire écoforestier 2003, Ministère des Ressources naturelles, de la Faune et des Parcs du Québec, Direction des Inventaires Forestiers.
16. Lévesque J., King D. Spatial analysis of radiometric fractions from high-resolution multispectral imagery for modelling individual tree crown and forest canopy structure and health. Remote Sens. Environ. 2003, 84:589-602.
17. Li X., Strahler A.H. Geometric-optical modeling of a conifer forest canopy. IEEE Trans. Geosci. Remote Sens. 1985, 23:705-721.
18. Lowe, J.J., Power, K., Gray, S.L., 1994. Canada's forest inventory 1991. Natural Resources Canada, Canadian Forest Service - Petawawa National Forest Institute Inf. Rep. PI-X-115.
19. McRoberts R.E. Satellite image-based map: scientific inference or pretty pictures?. Remote Sens. Environ. 2011, 115:715-724.
20. McRoberts R.E., Tomppo E.O., Finley A.O., Heikkinen J. Estimating areal means and variances of forest attributes using the k-nearest neighbors technique and satellite imagery. Remote Sens. Environ. 2007, 111:466-480.
21. Milton J.S., Arnold J.C. Introduction to Probability and Statistics: Principles and Applications for Engineering and the Computing Sciences 2003, McGraw-Hill, Boston. fourth ed.
22. Peddle D.R., Johnson R.L. Spectral mixture analysis of airborne remote sensing imagery for improved prediction of leaf area index in mountainous terrain, Kananaskis Alberta. Can. J. Remote Sens. 2000, 26:177-188.
23. 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. Can. J. Remote Sens. 2001, 27:627-635.
24. Pekkarinen A. Image segment-based spectral features in the estimation of timber volume. Remote Sens. Environ. 2002, 82:349-359.
25. Peng C., Zhang L., Liu J. Developing and validating nonlinear height-diameter models for major tree species of Ontario's boreal forest. North. J. Appl. For. 2001, 18:87-94.
26. Perron J.Y. Standard volume tables: gross merchantable volume 1986, Gouvernement du Québec, Ministère de l'énergie et des Ressources, Quebec.
27. Rowe J.S. Forest Regions of Canada 1972, Can. For. Serv., Depart. Environ., (Publication No. 1300).
28. Seed E.D., King D.J. Shadow brightness and shadow fraction relations with effective leaf area index: importance of canopy closure and view angle in mixedwood boreal forest. Can. J. Remote Sens. 2003, 29:324-335.
29. Shapiro S.S., Wilk M.B. An analysis of variance test for normality (complete samples). Biometrika 1965, 52:591-611.
30. Sharma M., Amateis R.L., Burkhart H.E. Top height definition and its effect on site index determination in thinned and unthinned loblolly pine plantations. For. Ecol. Manage. 2002, 168:163-175.
31. Shreuder H.T., Gregoire T.G., Wood G.B. Sampling methods for multiresource forest inventory 1993, J. Wiley and Sons, New York.
32. Titus, S.J., Morgan, D.J., 1988. Theory and methodology of single tree volume estimation. Natural Resources Canada, Canadian Forest Service - Petawawa National Forest Institute Inf. Rep. PI-X-85.
33. Wulder M., Niemann K.O., Goodenough D.G. Local maximum filtering for the extraction of tree locations and basal area from high spatial resolution imagery. Remote Sens. Environ. 2000, 73:449-476.
34. Zorn M.E., Gibbons R.D., Sonzogni W.C. Weighted least-square approach limits of detection and quantification variability as a function of concentration. Anal. Chem. 1997, 69:3069-3075.