Accuracy of high spatial resolution satellite images classification for forestry needs;Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva

Sumarski List

Volumn 132, Issue 9-10, 2008, Pages 393-404

  Seletković, Ante ^a   Pernar, Renata ^a   Jazbec, Anamarija ^a   Ančić, Mario ^a  

^a UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

Accuracy index; Classification accuracy; IKONOS satellite image; Kappa statistics; Spa va; Visual and digital interpretation

Indexed keywords

ACCURACY INDEX; CLASSIFICATION ACCURACY; IKONOS SATELLITE IMAGE; KAPPA STATISTICS; VISUAL AND DIGITAL INTERPRETATION;

CLASSIFICATION (OF INFORMATION); ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; ERROR STATISTICS; FEATURE EXTRACTION; IMAGE ANALYSIS; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; SATELLITE IMAGERY; SATELLITES; TIMBER;

FORESTRY;

ALGORITHM; FOREST MANAGEMENT; IMAGE CLASSIFICATION; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPATIAL VARIATION;

CLASSIFICATION; ERRORS; FORESTRY; FORESTS; IMAGE ANALYSIS; KAPPA NUMBER; SATELLITES; STATISTICS;

CROATIA; EURASIA; EUROPE; SOUTHERN EUROPE; SPACVA;

QUERCUS ROBUR;

EID: 58149458697     PISSN: 03731332     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (37)

1. Banovec, T., M. Hlavaty, T. Kralj, M. Miklič A. Tretjak, 1985: Pokušaj ocene iskorištavanja tia područja Savinjske doline satelitskom snimkom. U Tretjak i dr. - Upotreba digitalno, satelitsko prikupljenih podataka u SR Sloveniji, Zavod SR Slovenije za statistiko, Ljubljana, 25-48.
2. Bird, A. C., J. C. Taylor, T. R. Brewers, 2000: Landscape Patterns and Landscape Change; Remote sensing and Landscape Ecology, vol. 21, 13-14, pp. 2719-2736.
3. Bolstad, V. P., T. M. Lillesand, 1992: Improved classification of forest vegetation in Northern Wisconsin through a rule-based combination of soils, terrain and Landsat Thematic Mapper data, Forest Science 38 (1992) (1), pp. 5-20.
4. Bronsveld, K., S. Chutirattapan, B. Pattanakanok, R. Suwanwerkamtorn & P. Trakooldit, 1994: The use of local knowledge in land use/cover mapping from satelite images. ITC Journal, Broj 4, 349-358.
5. Chiao, K., C. Chow, 1988: Comparison among selected Landsat-5 TM dana for forestry surveys, International archives of photogrammetry, Vol. XXVII, Part B7, 77-89.
6. Congalton, R. G., K. Green, 1999: Assessing the accuracy of remotely sensed data: Principles and practices, Lewis Publishers, Boca Raton, Florida.
7. Cook, M. K., B. A. Peterson, G. Dial, F. Gerlach, K. Hutchins, R. Kudola, H. S. Bowen, 2001: IKONOS Technical Performance Assessment, Proceedings of SPIE Vol. 4381-10, 16-20 April 2001, Orlando, Florida.
8. Davis, C. H., X. Wang, 2002: Urban land cover classification from high resolution multi-spec tral IKONOS imagery. Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International, Volume: 2, 1204-1206.
9. Dial, G., H. Bowen, F. Gerlach, J. Grodecki, R. Oleszczuk, 2003: IKONOS satellite imagery, and products. Remote Sensing of Environment 88 (2003), pp. 23-36.
10. Fink, W., K. Niemz, 1980 : Eine Strategie der rechnergestützen Landnutzungsklassifizierung. International archives of photogrammetry, Vol. XXIII, Part B7, 291-301.
11. Franklin, S. E., R. J. Hall, G. S. Ghitter, 1995: Satellite remote sensing of spruce understories in deciduous and mixedwood stands, pp. 239-247 in Proc. Resource Technology '94 Symposium, Decision Support 2001 - Sept 12-16, 1994, Toronto.
12. Franklin, S. E., R. J. Hall, L. Smith, G. R. Gerylo, 2003. Discrimination of conifer height, age, and crown closure classes using Landsat-5 TM imagery near Fort Simpson, Northwest Territories. Int. J. Remote Sensing 24(9): 1823-1834.
13. Gerylo, G. R., R. J. Hall, S. E. Franklin, L. Smith, 2002. Empirical relations between Landsat TM spectral response and forest stands near Fort Simpson, Northwest Territories, Canada. Can. J. Remote Sensing 28(1): 68-79.
14. Ghaleb, F., R. B. Kheir, National Council for Scientific Research Remote Sensing Center, Beirut, Lebanon: Effectiveness of using very high resolution imagery (IKONOS) for land use mapping, preuzeto sa web stranice: http://www.gisdevelopment.net/technology/ip/techip
15. Gilbert, D., J. P. Lilies, 1993: Spot satellite image treatment and visual interpretation for forestry and land use mapping: report of the training course on remote sensing. Rome (ITA); Port-Vila: FAO; ORSTOM, 1993, 157 p.
16. Girard, C. M., M. C. Girard, 1980: Analyse, description et classement de paysagesruraux á partir de données Landsat. International archives of photogrammetry, Vol. XXIII, Part B7, 345-354.
17. Goetz, S. J., R. K Wright, A. J. Smith, E. Zinecker, E. Schaub, 2003 : IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian bufer analyses
18. Goossens, R., E. D, Haluin, G. Larnoe, 2004: Satellite image interpretation (SPOT) for the survey of the ecological infrastructure in a small scaled landscape (Kempenland, Belgium). Landscape Ecology Volume 5, Number 3, May, 1991, 175-182.
19. Hall, R. J., D.R. Peddle, D. L. Klita, 2000: Mapping conifer understory within Boreal mixedwoods from Landsat TM satellite images. For. Chron. 76(6): 75-90.
20. Hall, R. J., R. V. Dams, L. N. Lyseng, 1991: Forest cutover mapping from SPOT satellite data. Int. J. Remote Sensing 12(11): 2193-2204.
21. Helder, D., M. Coan, K. Patrick and P. Gaska, 2003: IKONOS geometric characterization. Remote Sensing of Environment 88 (2003), pp. 68-78.
22. Hočevar, M., 1985: Upotreba satelitskih snimaka u šumarstvu. U Tretjak i dr. - Upotreba digitalno, satelitsko prikupljenih podataka u SR Sloveniji, Zavod SR Slovenije za statistiko, Ljubljana, 59-62.
23. Jacobsen, K., 2002: Mapping with IKONOS images. In: EARSeL Symposium "Geoinformation for European-widelntegration", Prague, Czech Republic, pp. 149-156.
24. Jakob, J. A., 1980: Landnutzung und Parzellineirungmuster auf Landsat Bildern - eine Hilfe zur Bodenregionalisierung norddeutscher Landschaften. International archives of photogrammetry, Vol. XXIII, Part B7, 477-486.
25. Kristof, D., E. Csato, D. Ritter, 2002: Application of high-resolution satellite images in forestry and habitat mapping-evaluation of ikonos images through a Hungarian case study. Symposium on Geospatial Theory, Processing and Applications, ISPRS, Ottawa.
26. Kušan, V., I. Lampek, 1994: Prilog istraživanju povećanja interpretabilnosti Landsat TM snimke za potrebe kartiranja korištenja zemljišta. Bilten Savjeta za daljinska istraživanja i fotointerpretaciju br. 13 (1994), str 41-51.
27. Lantieri, D., J. F. Dallemand, R. Biscaia, S. Sohn, R. O. Potter, 1990: Erosion Mapping Using High - Resolution Satellite Data and Geographic Information System. FAO Remote Sensing Centre Series, No. 56, FAO, Rome, 150 p.
28. Mäkelä, H, A. Pekkarinen, 2004: Estimation of forest stand volumes by Landsat TM imagery and stand-level field-inventory data. Forest Ecology and Management, Volume 196, Issues 2-3, 26 July 2004, Pages 245-255.
29. Mas, J. F., I. Ramírez, 1996: Comparison of land use classifications obtained by visual interpretation and digital processing, ITC Journal, 1996-3/4, pp. 278-283.
30. Moore, M. M., M. E. Bauer, 1990: Classification of forest vegetation in north-central Minnesota using LANDSAT multispectral scanner and thematic mapper data, Forest Sci. 36 (1990), pp. 330-342.
31. nd Workshop of the EARSeL SIG on Land Use and Land Cover, Bonn.
32. Schneider, Th., B. Koch, U. Ammer, 1993: Bee-influssung des Fernerkundungssignals im Sichtbaren und Nahen Infrarotbeobachtungen anhand des Vergleichs von Spektroradiometer Daten mit Landsat TM und Dedalus ATM daten. Zbornik referata simpozija: Aplikacia dialkoveho preiskumu zeme v lesnietve, Zvolen, 60-66.
33. Skidmore, A. K. & B. J. Turner, 1988: Forest mapping accuracies are improved usin a supervised nonparametric classifier with SPOT data. Photogrammetric Engineering and Remote Sensing, Vol. 54, Broj 10, 1415-1421.
34. Toutin, T., P. Cheng, 2000: Demystification of IKONOS. Earth Observation Magazine, 9(7): 17-21.
35. Wulder, M.A., J. Dechka, M. Gillis, J. Luther, R. J. Hall, A. Beaudoin, S. E. Franklin, 2003: Operational mapping of the land cover of the forested area of Canada with Landsat data: EOSD land cover program. The Forestry Chronicle 79(6): 1075-1083.
36. Wulder, M.A., R. J. Hall, N. Coops, S.E. Franklin, 2004: High spatial resolution remotely sensed data for ecosystem characterization. Bioscience 54(6): 511-521.
37. Zanoni, V., T. Stanley, R. Ryan, M. Pagnutti, B. Baldridge, S. Roylance, G. Snyder, G. Lee, 2003: The Joint Agency Commercial Imagery Evaluation (JACIE) team: Overview and IKONOS joint characterization approach. Remote Sensing of Environment, 88, 17-22.