The scientific researches consulted in the specialized literature, as well as their own observations, in the field, support the hypothesis that, irrespective of their mode of use, agricultural lands can be regarded as components of the constantly changing environment, both through the action of natural factors and processes (afforestation, erosion processes, etc), as well as as a result of changing the evolutionary tendency through anthropic intervention (changes in the category of use or the way of use, deforestation, abandonment or "recovery" of some agricultural or non-agricultural land areas). In this context, this study was developed to capture the spatial-temporal changes produced in the case of grasslands, based on high spatial resolution images, using GIS (Geographic Information Systems) techniques and geospatial data (satellite or aerial images), the analysis being done between 2006 and 2018. At the same time, the aim is to test a research methodology that meets the main objectives of the study. Data collection was done in the GIS environment, by vectoring the differences occurring in time and space. The grassland surface was shaped in 2006 and in 2018, and subsequently, through multilayer spatial analysis, the two vector entities were "cut" to capture the differences between them. High spatial resolution aerial images (orthophotoplanes) were used, thus making it possible to perform a detailed analysis, with high precision and accuracy. One of the major advantages of this procedure is that "past" aerial images can be used so that the comparison with the present situation is possible. Following the spatial analyzes, it was found that the grassland considered a case study has “lost” within 12 years, an area of 17.55 ha as a result of the extension of the forest areas. This aspect indicates under-exploitation, lack of proper management, against the background of negative demographic indicators. Through the proposed research methodology, the main objective proposed was reached, this working procedure being applicable in any area and generates both statistical, non-graphical data and thematic maps useful for visualizing, understanding and interpreting the results.

grasslands, change, GIS, aerial images.

field crops and pastures

Presentation: poster