| Autor: |
Dunea, Daniel, Petrescu, Nicolae, Sârbu, Nicoleta Daniela, Marian, Mădălina-Cristina |
| Předmět: |
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| Zdroj: |
Annals: Food Science & Technology; 2019, Vol. 20 Issue 3, p647-653, 7p |
| Abstrakt: |
Satellite imagery can provide key information regarding the functional characteristics of the vegetation at different spatiotemporal scales based on several synthetic indicators such as fPAR (fraction of absorbed photosynthetically active radiation), albedo, LAI (leaf area index), land cover, NDVI (Normalized Difference Vegetation Index) etc. The paper presents the preliminary results of a vegetation screening performed in Romanian mountain grasslands from Şirnea village using PAR ground measurements and remote sensing synthetic indicators to characterize the Agrostis capillaris grassland type in terms of light interception processes. This initial study contributes to the development of an infrastructural and methodological framework for future research directly applicable to various environmental issues occurring in the Rucăr-Bran Corridor associated with restoration, deforestation, encroachment, die-off, and xerification. A Delta-T Devices Beam Fraction Sensor was used to measure the radiation fluxes in μmol m-2 s-1 on July 13-14, 2018 in Şirnea village. Sentinel 2A L1C product allowed the calculation of NDVI in ArcGIS 10.3 from Bands 8 (842 nm Near Infrared - NIR) and 4 (665 nm - RED) at 10 m resolution. The LAI was computed using an exponential function with a multiplying factor. MODIS/Terra Leaf Area Index/FPAR 8-Day L4 Global 500 m SIN Grid V006 synthetic image for 12 to 17 July 2018 was used to characterize the vegetation status based on LAI and fPAR. Lower values of both NDVI and LAI were recorded for mowed/grazed areas, and sloped grasslands (LAI = 1.5-2). Higher values corresponded to the intercanopy patches of spruce and shrubs (LAI = 3-5). [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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