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Geostatistical Analysis of Vegetation Indices in Forest Ecosystem Česma

Ela Vela ; Faculty of Geodesy, University of Zagreb, Zagreb, Croatia
Ivan Medved ; Croatian Forest Research Institute, Jastrebarsko, Croatia
Vanja Miljković   ORCID icon orcid.org/0000-0003-2290-3844 ; Faculty of Geodesy, University of Zagreb, Zagreb, Croatia

Puni tekst: hrvatski, pdf (2 MB) str. 25-40 preuzimanja: 299* citiraj
APA 6th Edition
Vela, E., Medved, I. i Miljković, V. (2017). Geostatistička analiza vegetacijskih indeksa na šumskom ekosustavu Česma. Geodetski list, 71 (94) (1), 25-40. Preuzeto s https://hrcak.srce.hr/181953
MLA 8th Edition
Vela, Ela, et al. "Geostatistička analiza vegetacijskih indeksa na šumskom ekosustavu Česma." Geodetski list, vol. 71 (94), br. 1, 2017, str. 25-40. https://hrcak.srce.hr/181953. Citirano 23.10.2019.
Chicago 17th Edition
Vela, Ela, Ivan Medved i Vanja Miljković. "Geostatistička analiza vegetacijskih indeksa na šumskom ekosustavu Česma." Geodetski list 71 (94), br. 1 (2017): 25-40. https://hrcak.srce.hr/181953
Harvard
Vela, E., Medved, I., i Miljković, V. (2017). 'Geostatistička analiza vegetacijskih indeksa na šumskom ekosustavu Česma', Geodetski list, 71 (94)(1), str. 25-40. Preuzeto s: https://hrcak.srce.hr/181953 (Datum pristupa: 23.10.2019.)
Vancouver
Vela E, Medved I, Miljković V. Geostatistička analiza vegetacijskih indeksa na šumskom ekosustavu Česma. Geodetski list [Internet]. 2017 [pristupljeno 23.10.2019.];71 (94)(1):25-40. Dostupno na: https://hrcak.srce.hr/181953
IEEE
E. Vela, I. Medved i V. Miljković, "Geostatistička analiza vegetacijskih indeksa na šumskom ekosustavu Česma", Geodetski list, vol.71 (94), br. 1, str. 25-40, 2017. [Online]. Dostupno na: https://hrcak.srce.hr/181953. [Citirano: 23.10.2019.]

Sažetak
Because of a possibility to gather and analyse a large amount of spatial data in the longer temporal period, we can get new information which alleviates the implementation of geostatistical analysis on a larger area. Multispectral satellite images with spatial resolution of 30 m taken with Landsat 7 and Landsat 8 satellites were being used in the representative smoothing in the geostatistical analysis. In this study the geostatistical analysis NDVI, NDWI, GNDVI, EVI and SAVI was conducted through a ten-year period in the piezometer points in the Česma forest. This study assesses vegetation indices calculated from the multispectral images on the basis of absorption, transmission and reflection of energy from the vegetation in different spectral bands. Vegetation indices consistently provide spatio-temporal information about vegetation cover, and in this study the forest composition is being observed in two ways. Foundation for the first one are the differences based upon calculated vegetation indices from the raw data where the value of a pixel is DN, and foundation for the second one are the atmospheric corrected satellite images with DOS1 correction. Automatization of data processing was made in statistical program language R which accelerated the processing of a large amount of raster images. R was used for the implementation of the algorithm and its purpose was to conduct a quality geostatistical analysis.

Ključne riječi
geostatistics; vegetation indices; atmospheric correction DOS1; correlation; spatio-temporal analysis

Hrčak ID: 181953

URI
https://hrcak.srce.hr/181953

[hrvatski]

Posjeta: 453 *