Accuracy of Classification of Remotely Sensed Data in Vegetation Mapping Process - A Case Study of Croatia (CROSBI ID 554761)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Peternel, Hrvoje ; Kušan, Vladimir ; Antonić, Oleg ; Pernar, Renata ; Jelaska, Sven D.
engleski
Accuracy of Classification of Remotely Sensed Data in Vegetation Mapping Process - A Case Study of Croatia
Vegetation is a fundamental variable that affects and links many parts of physical environments. Changes in vegetation cover have significant effects on basic processes (biogeochemical cycling, soil erosion) and thereby on biodiversity. In this study the thematic accuracy of classification of remotely sensed data in vegetation mapping process has been computed. The investigation area included the Nature Park « ; Žumberak – Samoborsko gorje» ; . Tree thematic maps with different minimum mapping unit (2.25 ha, 9 ha, 25 ha) were used. Accuracy assessment was carried out at two levels: Level I – 2 categories: nonforest and forest habitats, and Level II – 5 categories: anthropogenic habitats, nonforest vegetation, fir forests, coniferous forests, oak forests. The results show that overall accuracy at Level I ranges from 83% to 94%, and that KHAT values range from 63.54% to 87.06%. At Level II the results show that overall accuracy ranges from 49% to 71.50%, and that KHAT values range from 29.89% to 61.74%. This study shows that the accuracy of classification of remotely sensed data depends on both the minimum mapping unit and the number of categories used in classification scheme.
remote sensing ; accuracy ; vegetation ; habitats ; Žumberak-Samoborsko gorje
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Podaci o prilogu
100-100.
2009.
objavljeno
Podaci o matičnoj publikaciji
Book of Abstracts
Prag: Czech University of Life Sciences Prague (CZU)
978-80-213-1961-5
Podaci o skupu
2nd European Congress of Conservation Biology
predavanje
01.08.2009-05.08.2009
Prag, Češka Republika