Scholarly record
ANALYSIS OF VEGETATION COVERAGE OF GRASSLANDS BASED ON NDVI VALUES. CASE STUDY: POIANA RUSCA MOUNTAINS
Abstract
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..
Publication Impact Profile
- Captures
- Mendeley - Readers: 2
Publication details
References14
Boori M., Choudhary K., Kupriyanov A., Crop growth monitoring through Sentineland Landsat data based NDVI time-series. Computer Optics. 44, 2020, pp. 409-419,DOI: 10.18287/2412-6179-CO-635.
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. DOI: 10.47743/pesd2023171008
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
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: 10.15666/aeer/1704_88778894
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)
Copernicus Open Access Hub, https://scihub.copernicus.eu/dhus/#/home (accessedon 10.06.2023)
Corine Land Cover (2018 edition) - Copernicus Land Monitoring Service,https://land.copernicus.eu/pan-european/corine-land-cover, (accessed on 15.07.2023)
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, DOI: 10.1007/s00704-007-0369-2
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 DOI: 10.1016/j.procs.2015.07.415
Geospatial, Romania: Seturi de date vectoriale generale, http://geospatial.org/vechi/download/romania-seturi-vectoriale, 2022
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. DOI: 10.3390/inventions4040071
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
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
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. DOI: 10.1038/s41597-023-02096-0
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.