Pregled bibliografske jedinice broj: 1027309
MONITORING OF SHORT TEMPORAL CHANGES IN INTRA-URBAN VEGETATION AREAS
MONITORING OF SHORT TEMPORAL CHANGES IN INTRA-URBAN VEGETATION AREAS // 19th International Multidisciplinary Scientific GeoConference SGEM 2019 ; Conference Proceedings, Volume 19 ; Informatics, Geoinformatics and Remote Sensing, Issue: 2.2, Geodesy and Mine Surveying, Photogrammetry and Remote Sensing, Cartography and GIS
Sofija: Stef92 Technology, 2019. str. 577-584 doi:10.5593/sgem2019/2.2/s10.071 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
MONITORING OF SHORT TEMPORAL CHANGES IN INTRA-URBAN VEGETATION AREAS
Autori
Krtalic, Andrija ; Petrović, David
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
19th International Multidisciplinary Scientific GeoConference SGEM 2019 ; Conference Proceedings, Volume 19 ; Informatics, Geoinformatics and Remote Sensing, Issue: 2.2, Geodesy and Mine Surveying, Photogrammetry and Remote Sensing, Cartography and GIS
/ - Sofija : Stef92 Technology, 2019, 577-584
ISBN
978-619-7408-80-5
Skup
19th International Multidisciplinary Scientific GeoConference (SGEM 2019)
Mjesto i datum
Sofija, Bugarska, 30.06.2019. - 06.07.2019
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
intra-urban vegetation, Landsat 8 images, vegetation indices, remote sensing, analysis
Sažetak
Monitoring short temporal changes in intra-urban vegetation areas will become very important as the proportion of urban areas continue to increase. Intra-urban variations in vegetation abundance influence environmental conditions by selective reflection and absorption of solar radiation and by sequestration of pollutants. This research investigates the hypothesis that it should be possible to use easily accessible multispectral Landsat 8 images to track intra-urban vegetation, and obtaining sufficient quality information about short temporal changes, in the town of Zagreb (Croatia). In situ measurements have not been performed. The article presents only the results of remote sensing methods based on multi-temporal Landsat 8 satellite imagery. These results are the following vegetation indices: Normalized Difference Vegetation Index (NDVI), Green-Red Vegetation Index (GRVI) and Ratio Vegetation Index (RVI), calculated on the basis of the channels of the mentioned satellite system. The conditions of vegetation have been observed in three seasons: spring (April), summer (August) and autumn (October) in 2016 and 2017. In the focus area there is mostly deciduous vegetation (forest), which is why the conditions of vegetation have not been observed in winter months. The values of vegetation indices were used to extract information on changes in vegetation and this analysis are represented in this article. Further studies should include foresters in order to make a more meaningful interpretation of the results.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne prirodne znanosti, Geodezija, Interdisciplinarne tehničke znanosti, Šumarstvo
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus