Exploring forest structural complexity by multi-scale segmentation of VHR imagery

Remote Sensing of Environment

Volumn 112, Issue 6, 2008, Pages 2839-2849

  Lamonaca, A ^a   Corona, P ^a   Barbati, A ^a  

^a UNIVERSITY OF TUSCIA   (Italy)

Author keywords

beech forest; multi scale segmentation; neighbourhood based structural indices; QuickBird; spatial heterogeneity; structural complexity

Indexed keywords

FORESTRY; IMAGE RESOLUTION; SAMPLING; TEMPORAL LOGIC;

BEECH FORESTS; MULTI-SCALE SEGMENTATION; NEIGHBOURHOOD-BASED STRUCTURAL INDICES; QUICKBIRD; SPATIAL HETEROGENEITY; STRUCTURAL COMPLEXITY;

IMAGE SEGMENTATION;

CANOPY GAP; COMPLEXITY; DECIDUOUS FOREST; HETEROGENEITY; IMAGERY; POPULATION SIZE; POPULATION STRUCTURE; QUICKBIRD; SEGMENTATION;

FORESTS; IMAGE ANALYSIS; RESOLUTION; SAMPLING; SEGMENTATION;

FAGUS;

EID: 43949132094     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2008.01.017     Document Type: Article

References (57)

1. Aguirre O., Hui G., Gadow K.v., and Jimenez J. An analysis of spatial forest structure using neighbourhood-based variables. Forest Ecology and Management 183 (2003) 137-145
2. Allen T.R., and Walsh S.J. Spatial and compositional patterns of Alpine treelines, Glacier National Park, Montana. Photogrammetric Engineering and Remote Sensing 62 (1996) 1261-1268
3. Baatz M., and Schäpe A. Multiresolution Segmentation: an optimization approach for high quality multi-scale image segmentation. In: Strobl J., Blascke T., and Greisebener G. (Eds). Angewandte Geographische Informationsverarbeitung XI. Beiträge zum AGIT-Symposium Salzburg 1999 (2000), Herbert Wichmann Verlag, Karlsruhe, Germany
4. Benz U.C., Hofmann P., Willhauck G., Lingenfelder I., and Heynen M. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry & Remote Sensing 58 (2004) 239-258
5. Burnett C., and Blaschke T. A multi-scale segmentation/object relationship modelling methodology for landscape analysis. Ecological Modelling 168 (2003) 233-249
6. Cadenasso M.L., Pickett S.T.A., and Grove J.M. Dimensions of ecosystem complexity: heterogeneity, connectivity, and history. Ecological Complexity 3 (2006) 1-12
7. Chen X., Vierling L., Rowell E., and DeFelice T. Using lidar and effective LAI data to evaluate IKONOS and Landsat ETM+ vegetation cover estimates in a ponderosa pine forest. Remote Sensing of Environment 91 (2004) 14-26
8. Chubey M.S., Franklin S.E., and Wulder M.A. Object-based analyses of IKONOS-2 imagery for extraction of forest inventory parameters. Photogrammetric Engineering & Remote Sensing 72 (2006) 383-394
9. Corona P., Calvani P., Ferrari B., Lamonaca A., Portoghesi L., and Plutino M. Sperimentazione di un sistema integrato di indici per il monitoraggio della diversità strutturale in soprassuoli forestali. L'Italia Forestale e Montana 60 (2005) 447-462
10. De Kok R., Schneider T., and Ammer U. Object-oriented classification and applications in the alpine forest environment. International Archives of Photogrammetry and Remote Sensing 32 (1999, June 3-4) Part 7-4-3 W6, Valladolid, Spain
11. Desclée B., Bogaert P., and Defourny P. Forest change detection by statistical object-based method. Remote Sensing of Environment 102 (2006) 1-11
12. Di Filippo A., Piovesan G., and Schirone B. Le foreste vetuste: criteri per l'identificazione e la gestione. Proceedings of the XIV Congresso Nazionale della Società Italiana di Ecologia (2004, ottobre 4-6) 1-7. http://www.xivcongresso.societaitalianaecologia.org/ Siena, [online] URL: http://www.xivcongresso.societaitalianaecologia.org/
13. Dröbler L., and von Lüpke B. Canopy gaps in two virgin beech forest reserves in Slovakia. Journal of Forest Science 51 (2005) 446-457
14. Feoli E., and Lagonegro M. Syntaxonomical analysis of Beech woods in the Apennines (Italy) using the program package IAHOPA. Vegetatio 50 (1982) 129-173
15. Foody G.M., Jackson R.G., and Quine C.P. Potential improvements in the characterisation of forest canopy gaps caused by windthrow using fine spatial resolution multispectral data: comparing hard and soft classification techniques. Forest Science 49 (2003) 444-454
16. Forman R.T.T., and Godron M. Landscape Ecology (1986), John Wiley and Sons, Inc., New York (NY) 620 pp.
17. Franklin S.E., Wulder M.A., and Gerylo G.R. Texture analysis of IKONOS panchromatic data for Douglas-fir forest age class separability in British Columbia. International Journal of Remote Sensing 22 (2001) 2627-2632
18. Frelich L.E. Forest dynamics and disturbance regimes. Studies from temperate evergreen-deciduous forests (2002), Cambridge University Press, Cambridge 226 pp.
19. Gadow K.v., and Hui G. Modelling forest development (1999), Kluwer Academic Publishers, The Netherlands 228 pp.
20. Gadow K.v., Hui G., and Albert M. Das Winkelmaβ - ein Strukturparameter zur Beschreibung der Individualverteilung in Waldbestanden. Centralblatt für das Gesamte Forstwesen 115 (1998) 1-10
21. Hájek F. Object analysis of Ikonos XS and pan-sharpened imagery in comparison for purpose of tree species estimation. In: Lang S., Blaschke T., and Schöpfer E. (Eds). Proceedings of the 1st International Conference on Object-based Image Analysis (OBIA 2006), Salzburg, Austria. ISPRS Archive Vol. XXXVI-4/C42 (2006, July 4-5). http://www.isprs.org/publications/archives.html [Online] http://www.isprs.org/publications/archives.html
22. Hay G.J., Castilla G., Wulder M.A., and Ruiz J.R. An automated object-based approach for the multiscale image segmentation of forest scenes. International Journal of Applied Earth Observation and Geoinformation 7 (2005) 339-359
23. Holmgren J. Prediction of tree height, basal area and stem volume in forest stands using airborne laser scanning. Scandinavian Journal of Forest Research 19 (2004) 543-553
24. Hui G.Y., and Gadow K.v. Das Winkelmaβ - Herleitung des optimalen Standardwinkels. Allgemeine Forst-und Jagdzeitung 173 10 (2002) 173-177
25. Johansen K., Coops N.C., Gergel S.E., and Stange Y. Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification. Remote Sensing of Environment 110 (2007) 29-44
26. Johansen K., and Phinn S. Mapping structural parameters and species composition of riparian Vegetation using IKONOS and Landsat ETM+ data in Australian tropical Savannahs. Photogrammetric Engineering and Remote Sensing 72 (2006) 71-80
27. Kayitakire F., Hamel C., and Defourny P. Retrieving forest structure variables based on image texture analysis and IKONOS-2 imagery. Remote Sensing of Environment 102 (2006) 390-401
28. Leboeuf A., Beaudoin A., Fournier R.A., Guindon L., Luther J.E., and Lambert M.C. A shadow fraction method for mapping biomass of northern boreal black spruce forests using QuickBird imagery. Remote Sensing of Environment 110 (2007) 488-500
29. Leckie D.G., Gougeon F.A., Walsworth N., and Paradine D. Stand delineation and composition estimation using semi-automated individual tree crown analysis. Remote Sensing of Environment 85 (2003) 355-369
30. Lim K., Treitz P., Wulder M., St-Onge B., and Flood M. LiDAR remote sensing of forest structure. Progress in Physical Geography 27 (2003) 88-106
31. MacArthur R.H., and MacArthur J.W. On bird species diversity. Ecology 42 (1961) 594-598
32. McElhinny C., Gibbons P., Brack C., and Bauhus J. Forest and woodland stand structural complexity: its definition and measurement. Forest Ecology and Management 218 (2005) 1-24
33. McRoberts R.E., and Tomppo E.O. Remote sensing support for national forest inventories. Remote Sensing of Environment 110 (2007) 412-419
34. Millet J., Bouchard A., and Édelin C. Plant succession and tree architecture: an attempt at reconciling two scales of analysis of vegetation dynamics. Acta Biotheoretica 46 (1998) 1-22
35. Neumann M., and Starlinger F. The significance of different indices for stand structure and diversity in forests. Forest Ecology and Management 145 (2001) 91-106
36. Oliver C.D., and Larson B.C. Forest stand dynamics. Update edition (1996), John Wiley and Sons, New York (NY) 520 pp.
37. Paluch J.G. The spatial pattern of a natural European beech (Fagus sylvatica L.) - silver fir (Abies alba Mill.) forest: A patch-mosaic perspective. Forest Ecology and Management 253 (2007) 161-170
38. Parker G.G., Harmon M.E., Lefsky M.A., Chen J., Van Pelt R., Weiss S.B., et al. Three-dimensional structure of an old-growth Pseudotsuga-tsuga canopy and its implications for radiation balance, microclimate, and gas exchange. Ecosystems 7 (2004) 440-453
39. Parrott L. Complexity and the limits of ecological engineering. Transactions of the ASAE 45 (2002) 1697-1702
40. PCI Geomatics. Geomatica OrthoEngine. User Guide. Version 9.1 (2003), PCI Geomatics, Richmond Hill, ON, Canada 168 pp.
41. Pedersen B.S., and Howard J.L. The influence of canopy gaps on overstory tree and forest growth rates in a mature mixed-age, mixed-species forest. Forest Ecology and Management 196 (2004) 351-366
42. Pekkarinen A. Image segment-based spectral features in the estimation of timber volume. Remote Sensing of Environment 82 (2002) 349-359
43. Piovesan, G. (1997). Analisi di problemi assestamentali nella foresta montana dell'Appennino centrale. Ph.D. dissertation, Università della Tuscia,Viterbo, Italy.
44. Piovesan G., Di Filippo A., Alessandrini A., Biondi F., and Schirone B. Structure, dynamics and dendroecology of an old-growth Fagus forest in the Apennines. Journal of Vegetation Science 16 (2005) 13-28
45. Pommerening A. Approaches to quantifying forest structure. Forestry 75 (2002) 305-324
46. Pommerening A. Evaluating structural indices by reversing forest structural analysis. Forest Ecology and Management 224 (2006) 266-277
47. Proulx R. Ecological complexity for unifying ecological theory across scales: a field ecologist's perspective. Ecological Complexity 4 (2007) 85-92
48. Proulx R., and Parrott L. Measures of structural complexity in digital images for monitoring the ecological signature of an old-growth forest ecosystem. Ecological Indicators 8 (2008) 270-284
49. Radoux J., and Defourny P. A quantitative assessment of boundaries in automated forest stand delineation using very high resolution imagery. Remote Sensing of Environment 110 (2007) 468-475
50. Roth R.R. Spatial heterogeneity and bird species diversity. Ecology 57 (1976) 773-782
51. Rubin B.D., Manion P.D., and Faber-Langendoen D. Diameter distributions and structural sustainability in forests. Forest Ecology and Management 222 (2006) 427-438
52. Scoppola A., and Caporali C. Mesophilous woods with Fagus sylvatica L. of northern Latium (Tyrrhenian Central Italy): synecology and syntaxonomy. Plant Biosystems 132 (1998) 151-168
53. Standovár T., and Kenderes K. A review of natural stad dynamics in beechwoods of East Central Europe. Applied Ecology and Environmental Research 1 1-2 (2003) 19-46
54. Staudhammer C.L., and LeMay V.M. Introduction and evaluation of possible indices of stand structural diversity. Canadian Journal of Forest Research 31 (2001) 1105-1115
55. Susmel L. Normalizzazione delle foreste alpine (1980), Liviana Editrice, Padova, Italy 437 pp.
56. Wang L., Sousa W.P., and Gong P. Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery. International Journal of Remote Sensing 25 (2004) 56
57. Wulder M.A., Hall R.J., Coops N.C., and Franklin S.E. High spatial resolution remotely sensed data for ecosystem characterization. BioScience 54 (2004) 511-521