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Title: ANALYSIS OF VEGETATION COVERAGE OF GRASSLANDS BASED ON NDVI VALUES. CASE STUDY: POIANA RUSCA MOUNTAINS
ANALYSIS OF VEGETATION COVERAGE OF GRASSLANDS BASED ON NDVI VALUES. CASE STUDY: POIANA RUSCA MOUNTAINS

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Loredana Copacean; Cosmin Popescu; Luminita Livia Barliba; Mihai Simon; Luminita Cojocariu
10.5593/sgem2023V/6.2/s25.02
10.5593/sgem2023v/6.2
1314-2704
978-619-7603-66-8
English
23
6.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Advances in Biotechnology
In any terrestrial area, but especially in the case of mountainous areas, the spatial distribution of vegetation is conditioned by a series of natural factors such as relief, climatic factors or soils. From another point of view, the distribution of vegetation is different, depending on the phenophases, implicitly on the observation period, during the growing season. In this context, the aim of the work was to analyze the vegetation coverage of the grasslands in the Poiana Rusca Mountains, by applying the Normalized Difference Vegetation Index (NDVI), in five different periods. Five satellite images from the months of March, May, July, August and October were used, on which NDVI was applied, later reclassified according to the obtained values. Quantitatively, the changes produced from one time interval to another were calculated, based on the matrix of transitions, and thus, the changes produced were highlighted. It was found that the highest degree of vegetation coverage of the grasslands was in July, the "peak" of the vegetation season. The application of NDVI for the analysis of vegetation distribution has several advantages: it complements measurements in the field, it is expressed in the form of thematic maps that can be integrated with other geospatial data, it allows the location of "problematic" or risky areas, in terms of vegetation cover..
[1] Boori M., Choudhary K., Kupriyanov A., Crop growth monitoring through Sentineland Landsat data based NDVI time-series. Computer Optics. 44, 2020, pp. 409-419,10.18287/2412-6179-CO-635.
[2] Bobric E.D., Stoleriu A.P., Niacsu L., Alion G.S., Breaban I.G., The use of spectraltechniques to monitor the vegetation status in a protected area in the Iasi county. PESD,Vol. 17, 1, 2023, pp. 109-125. https://doi.org/10.47743/pesd2023171008
[3] Cojocariu L., Bordean D.M., Copacean L., Hoancea L., Evaluation of thebiodiversity protection degree in Romanian Banat by geomatic methods, InternationalMultidisciplinary Scientific GeoConference: SGEM 18 (5.1), 2018, pp. 369-376, DOI:10.5593/sgem2018/5.1/S20.048,https://www.sgem.org/index.php/elibrary?view=publication&task=show&id=1339
[4] Cojocariu L., Copacean L., Popescu C., Conservation of Grassland HabitatsBiodiversity in the Context of Sustainable Development of Mountain Area of Romania.Applied Ecology and Environmental Research, 17 (4), 2019, pp. 8877–8894. DOI:http://dx.doi.org/10.15666/aeer/1704_88778894
[5] Copernicus Land Monitoring Service - EU-DEM - European Environment Agency.https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-eudem (accessed on 20.06.2023)
[6] Copernicus Open Access Hub, https://scihub.copernicus.eu/dhus/#/home (accessedon 10.06.2023)
[7] Corine Land Cover (2018 edition) - Copernicus Land Monitoring Service,https://land.copernicus.eu/pan-european/corine-land-cover, (accessed on 15.07.2023)
[8] Fan L., Gao Y., Bruck H. et al., Investigating the relationship between NDVI andLAI in semi-arid grassland in Inner Mongolia using in-situ measurements, Theor ApplClimatol, 95: 2009, 151, https://doi.org/10.1007/s00704-007-0369-2
[9] Gandhi G.M., Parthiban S., Thummalu N., Christy A., NDVI: Vegetation ChangeDetection Using Remote Sensing and Gis – A Case Study of Vellore District, ProcediaComputer Science, Volume 57, 2015, pp. 1199 - 1210
[10] Geospatial, Romania: Seturi de date vectoriale generale, http://geospatial.org/vechi/download/romania-seturi-vectoriale, 2022
[11] Hatfield L.J., Prueger H.J., Sauer J.T., Dold C., O’Brien P., Wacha K.,Applications of Vegetative Indices from Remote Sensing to Agriculture: Past andFuture. Inventions, 4, 2019, 71. https://doi.org/10.3390/inventions4040071
[12] Hu Z., Zhengwei Y., Liping D., Lin L., Haihong Z., Crop phenology dateestimation based on NDVI derived from the reconstructed MODIS daily surfacereflectance data," 2009 17th International Conference on Geoinformatics, 2009, pp. 1-6,doi: 10.1109/GEOINFORMATICS.2009.5293522
[13] Marusca T., Blaj V.A., Mocanu V., Ene A.T., Andreoiu C.A., Dragos M., MarianP.Z., An efficient farming system in mountain grasslands from Carpathian, Journal ofMountain Agriculture on the Balkans, Vol.19/3, 2016, pp: 42-52
[14] Montero D., Aybar C., Mahecha M.D. et al., A standardized catalogue of spectralindices to advance the use of remote sensing in Earth system research. Sci Data 10,2023, 197. https://doi.org/10.1038/s41597-023-02096-0
[15] Sara?eanu V., Cotuna O., Durau C.C., Paraschivu M., Bracken (Pteridiumaquilinum (L.) Kuhn), a current issue of the permanent grasslands in Romania,Romanian Journal of Grasslands and Forage Crops, Vol. 24, 2021, pp: 71-80
This research paper is supported by the project Institutional Development Fund (FDI),domain 6, by National Council for the Financing of Higher Education (CNFIS), CNFISFDI-2023-F-0307
conference
https://doi.org/10.5593/sgem2023V/6.2/s25.02
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Proceedings of 23rd International Multidisciplinary Scientific GeoConference SGEM 2023
23rd International Multidisciplinary Scientific GeoConference SGEM 2023, 28-30 November, 2023
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
9-16
28-30 November, 2023
website
9578
NDVI, satellite images, GIS, grasslands

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