MODEL FOR EXTRACTING GEOSPATIAL INFORMATION FOR GRASSLANDS. CASE STUDY PUBLISHED

Loredana COPĂCEAN1, Luminiţa COJOCARIU1,*, Adina HORABLAGA1, C. POPESCU1, Valeria CIOLAC1, M. SIMON2 1Banat’s University of Agricultural Sciences and Veterinary Medicine”King Mihai I of Romania” from Timisoara, 300645, 119, Calea Aradului, Timisoara, Romania 2RTK ATLAS SURVEY S.R.L, Cebza, România luminitacojocariu@yahoo.com
Geomatic means and methods are increasingly applied in the agricultural and environmental fields, in the analysis of land use, for the identification and delimitation of grassland areas, in the assessment of biodiversity or in the mapping and estimation of degradation processesIn this context, the aim of this study is to create an operational flow, applicable to geospatial data, which reduces processing time and includes all the tools necessary for the geoprocessing of data acquired through UAV equipment, to provide viable and usable data sets in pratological research. The working methodology was applied on a grassland located in Brebu commune from Caraş-Severin county. The research is based on data acquired with UAV equipment, DJI Phantome 4, respectively aerial images, orthophotoplan and Digital Elevation Model. The photogrammetric flight was performed in October at an altitude of 60 m. The geospatial data sets were processed with ArcGIS 10.4 software in which Model Builder was used to automate the data processing process. The data purchased with UAV equipment are particularly useful in the characterization of grassland surfaces, both by the high degree of detail and by the possibility of flying over the surfaces in different temporal moments. These data provide information on relief, altimetry, data on the slope, useful in characterizing vegetation or identifying environmental factors that may intervene as restrictive elements. By the spectral classification of the orthophotoplan, the useful surface of the grassland can be delimited and by the application of some calculation algorithms, maps of some vegetation indices can be generated. The inclusion of data sets in Model Builder offers the advantage of fast processing, in a single work sequence and is a useful tool in pratological research
Geographic Information Systems, ModelBuilder, grasslands, aerial imagery, drones.
environmental engineering
Presentation: poster

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