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Accuracy Of High Spatial Resolution Satellite Images Classification For Forestry Needs

Ante Seletković ; Šumarski fakultet Sveučilišta u Zagrebu
Renata Pernar ; Šumarski fakultet Sveučilišta u Zagrebu
Anamarija Jazbec ; Šumarski fakultet Sveučilišta u Zagrebu
Mario Ančić ; Šumarski fakultet Sveučilišta u Zagrebu

Puni tekst: hrvatski, pdf (4 MB) str. 393-404 preuzimanja: 1.031* citiraj
APA 6th Edition
Seletković, A., Pernar, R., Jazbec, A. i Ančić, M. (2008). Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva. Šumarski list, 132 (9-10), 393-404. Preuzeto s https://hrcak.srce.hr/30693
MLA 8th Edition
Seletković, Ante, et al. "Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva." Šumarski list, vol. 132, br. 9-10, 2008, str. 393-404. https://hrcak.srce.hr/30693. Citirano 22.11.2019.
Chicago 17th Edition
Seletković, Ante, Renata Pernar, Anamarija Jazbec i Mario Ančić. "Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva." Šumarski list 132, br. 9-10 (2008): 393-404. https://hrcak.srce.hr/30693
Harvard
Seletković, A., et al. (2008). 'Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva', Šumarski list, 132(9-10), str. 393-404. Preuzeto s: https://hrcak.srce.hr/30693 (Datum pristupa: 22.11.2019.)
Vancouver
Seletković A, Pernar R, Jazbec A, Ančić M. Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva. Šumarski list [Internet]. 2008 [pristupljeno 22.11.2019.];132(9-10):393-404. Dostupno na: https://hrcak.srce.hr/30693
IEEE
A. Seletković, R. Pernar, A. Jazbec i M. Ančić, "Točnost klasifikacije satelitske snimke visoke prostorne rezolucije ikonos za potrebe šumarstva", Šumarski list, vol.132, br. 9-10, str. 393-404, 2008. [Online]. Dostupno na: https://hrcak.srce.hr/30693. [Citirano: 22.11.2019.]

Sažetak
Satellite images as a source of information are becoming more significant and more often used in Croatian forestry. Data in satellite images can be obtained in two ways – by visual and digital interpretation. Choice of adequate interpretation is dependant on set goals or, more precisely, on getting enough quality information needed for certain task. Main objective of this paper was to examine, compare and find the best way to interpret IKONOS high spatial resolution satellite images, that would be simple and acceptable for operational purposes. Research was conducted in Spačva forest basin area, where largest integral pedunculate oak (Quercus robur L) forest is situated. Interest array was defined with 1 IKONOS satellite image scene (11.3 x 11.3 km) and it covers the central part of Spačva forest complex, with four forest management units: Kragujna, Otočke šume, Slavir, Vrbanjske šume. The above mentioned shooting produced IKONOS satellite image of the Spačva basin area, 132 km2 large surface, in 5 spectral channels: PAN (1 x 1 m) and 4 MS Bundle (4 x 4 m).
Visual interpretation was conducted on the created colorcomposit with three chosen spectral channels (4, 3, 2), while digital interpretation was conducted through six different algorithms, on the IKONOS satellite image. For each algorithm of the supervised classification, as well as the visual interpretation, Kappa statistics and accuracy parameters of the classification were calculated. Reference data from field research was compared to results from different satellite image classification methods to determine the level of accuracy for each classification. From these comparisons, the error matrix, which represents the base for accuracy verification, was created. Three accuracy indexes were derived from the error matrix: total, producers and users index. Last two refer to each class individually. Apart from the mentioned indexes, error matrix was also used for calculating the parameters of Kappa statistics, which enabled data generalization.
Of all the conducted interpretations (classifications), visual interpretation produced best results – results obtained this way were the closest to the actual situation in the field (field research, data from forest management plans). Conducted methods of the IKONOS satellite image supervised classification determined that the most accurate method for operational application was the feature extraction classification with natural features recognition module, in which the unclassified areas are assigned to the most similar class. This research also confirmed the facts stated by Mas and Ramirez (1996) in their studies, concerning the claims that, besides being the most used, visual interpretation method also produced the most accurate results, primarily due to the human ability to identify objects/events of interest. On the other hand, process itself lasts relatively long, because each part of the image is analysed separately, which can significantly increase the time and the costs of the analysis.

Ključne riječi
IKONOS satellite image; visual and digital interpretation; classification accuracy; Kappa statistics; accuracy index; Spačva

Hrčak ID: 30693

URI
https://hrcak.srce.hr/30693

[hrvatski]

Posjeta: 1.743 *