Estimating stem volume by tree crown area and tree shadow area extracted from pan-sharpened Quickbird imagery in open Crimean juniper forests

International Journal of Remote Sensing

Volumn 29, Issue 19, 2008, Pages 5643-5655

  Ozdemir, I ^a  

^a SULEYMAN DEMIREL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION MANAGEMENT; MEAN SQUARE ERROR; SATELLITE IMAGERY;

AUTOMATIC CLASSIFICATION; BIOMASS ESTIMATION; FOREST RESOURCES; HIGH RESOLUTION SATELLITE IMAGERY; JUNIPERUS EXCELSA; QUICKBIRD IMAGERIES; ROOT MEAN SQUARE ERRORS; SUSTAINABLE MANAGEMENT;

FORESTRY;

BIOMASS; CANOPY ARCHITECTURE; CORRELATION; ESTIMATION METHOD; FOREST COVER; IMAGE CLASSIFICATION; NUMERICAL MODEL; REGRESSION ANALYSIS; SATELLITE IMAGERY; SPATIAL RESOLUTION; STEM; VISUALIZATION;

BIOMASS; ESTIMATION; FORESTRY; REGRESSION ANALYSIS; SATELLITES; STATISTICAL ANALYSIS;

EURASIA; TURKEY;

JUNIPERUS; JUNIPERUS EXCELSA;

EID: 52649083732     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802082155     Document Type: Article

References (43)

1. Arroyo, L. A., Healey, S. P., Cohen, W. B., Cocero, D. and Manzanera, J. A. (2006) Using object-oriented classification and high-resolution imagery to map fuel types in a Mediterranean region. Journal of Geophysical Research-Biogeosciences, 111, p. G04S04.
2. Baatz, M., Benz, U., Dehgani, S., Heynan, M., Holtje, A., Hofmann, P., Lingenfelder, I., Mimler, M., Sohlbach, M., Weber, M. and Willhauck, G. (2001) eCognition Object Oriented Image Analysis User Guide
3. Brack, C. L. (2004) Timber and tree measurements. Encyclopedia of Forest Sciences, pp. 566-573. Elsevier Academic Press, Amsterdam
4. Cho, V. H. K. (2004) Investigations for segment-based classification of satellite images for the purpose of forest mapping. Allgemeine Forst und Jagdzeitung, 175, pp. 94-100.
5. Chubey, M. S., Franklin, S. E. and Wulder, M. A. (2006) Object-based analysis of Ikonos-2 imagery for extraction of forest inventory parameters. Photogrammetric Engineering and Remote Sensing, 72, pp. 383-394.
6. Dees, M. (1998) Regression estimation using a cluster design in large scale forest inventories. Allgemeine Forst und Jagdzeitung, 169, pp. 177-185.
7. Erikson, M. and Olofsson, K. (2005) Comparison of three individual tree crown detection methods. Machine Vision and Applications, 16, pp. 258-265.
8. FAO (2006) Global Forest Resources Assessment 2005: Progress towards sustainable forest management, Food and Agriculture Organization of the United Nations, Rome
9. Franklin, S. E. (2001) Remote Sensing for Sustainable Forest Management, Lewis Publishers, Washington, DC
10. Gautam, A. P., Shivakoti, G. P. and Webb, E. L. (2004) Forest cover change, physiography, local economy, and institutions in a mountain watershed in Nepal. Environmental Management, 33, pp. 48-61.
11. Gering, L. R. and May, D. M. (1995) The relationship of diameter at breast height and crown diameter for four species groups in Hardin County Tennessee. Southern Journal of Applied Forestry, 19, pp. 177-181.
12. Gong, P., Sheng, Y. W. and Biging, G. S. (2002) 3D model-based tree measurement from high-resolution aerial imagery. Photogrammetric Engineering and Remote Sensing, 68, pp. 1203-1212.
13. Goodwin, N., Coops, N. C. and Stone, C. (2005) Assessing plantation canopy condition from airborne imagery using spectral mixture analysis and fractional abundances. International Journal of Applied Earth Observation and Geoinformation, 7, pp. 11-28.
14. Greenberg, J. A., Dobrowski, S. L. and Ustin, S. L. (2005) Shadow allometry: Estimating tree structural parameters using hyperspatial image analysis. Remote Sensing of Environment, 97, pp. 15-25.
15. Gu, H. Y., Dai, L. M., Wu, G., Xu, D., Wang, S. Z. and Wang, H. (2006) Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data. Science in China Series E-Technological Sciences, 49, pp. 54-62.
16. Hagan, G. F. and Smith, J. L. (1986) Predicting tree ground line diameter from crown measurement made on 35-mm aerial photography. Photogrammetric Engineering and Remote Sensing, 52, pp. 687-690.
17. Hall, R. J., Skakun, R. S., Arsenault, E. J. and Case, B. S. (2006) Modeling forest stand structure attributes using Landsat ETM+ data: application to mapping of aboveground biomass and stand volume. Forest Ecology and Management, 225, pp. 378-390.
18. Hyvonen, P., Pekkarinen, A. and Tuominen, S. (2005) Segment-level stand inventory for forest management. Scandinavian Journal of Forest Research, 20, pp. 75-84.
19. Hyyppa, H. J. and Hyyppa, J. M. (2001) Effects of stand size on the accuracy of remote sensing-based forest inventory. IEEE Transactions on Geoscience and Remote Sensing, 39, pp. 2613-2621.
20. Jensen, R. J. (1996) Introductory digital image processing: A remote sensing perspective, Prentice Hall, Upper Saddle River, NJ
21. Kayitakire, F., Hamel, C. and Defourny, P. (2006) Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery. Remote Sensing of Environment, 102, pp. 390-401.
22. Koch, B., Svoboda, J., Adler, P. and Dees, M. (2002) Automatic tree species detection based digitised CIR aerial photos. Allgemeine Forst und Jagdzeitung, 173, pp. 131-140.
23. Kohl, M. (1993) Forest inventory. Tropical Forestry Handbook, pp. 243-332. Springer Verlag, Heidelberg, Germany
24. Makela, H. and Pekkarinen, A. (2001) Estimation of timber volume at the sample plot level by means of image segmentation and Landsat TM imagery. Remote Sensing of Environment, 77, pp. 66-75.
25. Maselli, F. and Chiesi, M. (2006) Evaluation of statistical methods to estimate forest volume in a Mediterranean region. IEEE Transactions on Geoscience and Remote Sensing, 44, pp. 2239-2250.
26. Ozdemir, I., Koch, B., Asan, U., Gross, C. P. and Hemphill, S. (2007) Separation of citrus plantations from forest cover using Landsat imagery. Allgemeine Forst und Jagdzeitung, 178, pp. 208-212.
27. Paine, D. P. and Kiser, J. D. (2002) Aerial Photography and Image Interpretation, John Wiley and Sons, New York
28. Paine, D. P. and McCadden, R. J. (1988) Simplified forest inventory using large-scale 70-mm photography and tariff tables. Photogrammetric Engineering and Remote Sensing, 54, pp. 423-427.
29. Puhr, C. B. and Donoghue, D. N. M. (2000) Remote sensing of upland conifer plantations using Landsat TM data: A case study from Galloway, south-west Scotland. International Journal of Remote Sensing, 21, pp. 633-646.
30. Sheng, Y. W., Gong, P. and Biging, G. S. (2001) Model-based conifer crown surface reconstruction from high-resolution aerial images. Photogrammetric Engineering and Remote Sensing, 67, pp. 957-965.
31. Shiver, B. D. and Borders, B. E. (1996) Sampling Techniques for Forest Resource Inventory, John Wiley and Sons, New York
32. Song, C. (2007) Estimating tree crown size with spatial information of high resolution optical remotely sensed imagery. International Journal of Remote Sensing, 28, pp. 3305-3322.
33. Song, M., Civco, D. L. and Hurd, J. D. (2005) A competitive pixel-object approach for land cover classification. International Journal of Remote Sensing, 26, pp. 4981-4997.
34. Steel, R. G. D., Torrie, J. H. and Dickey, D. A. (1997) Principles and Procedures of Statistics: A Biometrical Approach, McGraw-Hill, New York
35. Stellingwerf, D. A. and Hussin, Y. A. (1997) Measurements and Estimations of Forest Stand Parameters Using Remote Sensing, VSP BV, Zeist, The Netherlands
36. St-Onge, B. A. and Cavayas, F. (1997) Automated forest structure mapping from high resolution imagery based on directional semivariogram estimates. Remote Sensing of Environment, 61, pp. 82-95.
37. Tomppo, E. (1991) Satellite image-based national forest inventory of Finland. International Archives of Photogrammetry and Remote Sensing, 28, pp. 419-424.
38. UNFCCC (2002) Report of the Conference of the Parties on its Seventh Session
39. Verchot, L. V., Zomer, R., Van Straaten, O. and Muys, B. (2007) Implications of country-level decisions on the specification of crown cover in the definition of forests for land area eligible for afforestation and reforestation activities in the CDM. Climatic Change, 81, pp. 415-430.
40. Vrabel, J. (1996) Multispectral imagery band sharpening study. Photogrammetric Engineering and Remote Sensing, 62, pp. 1075-1083.
41. Wang, L., Gong, P. and Biging, S. (2004) Individual tree-crown delineation and treetop detection in high-spatial-resolution aerial imagery. Photogrammetric Engineering and Remote Sensing, 70, pp. 351-357.
42. Wiant Jr., H. V. (1993) DOSATEST for testing accuracy. Compiler, 11, pp. 28-29.
43. Zhu, Z. and Waller, E. (2001) Global forest cover mapping for the United Nations Food and Agriculture Organization Forest Resources Assessment (FRA) 2000 Program