THE USE OF REMOTE SENSING IMAGES IN THE ANALYSIS OF LAND SURFACES PUBLISHEDI. VETO, C. M. PELIICI, C. POPESCU, M. V. HERBEI University of Life Sciences ’’King Michael I’’ from Timisoara, Romania email@example.com
Remote sensing is the technology by which the characteristics of the analyzed objects can be identified, measured and analyzed without direct contact, but from a distance. Remote sensing technology to identify objects and understand environmental conditions is the uniqueness of reflection and emission. Landsat 8 is an American Earth observation satellite launched on February 11, 2013. It is the eighth satellite in the Landsat program and the seventh to successfully reach orbit. This satellite system provides medium resolution images from 15 meters to 100 meters of the land surface and polar regions. It works in the visible spectrum, near infrared, short wave infrared and thermal infrared. In the present study, the Landsat 8 method was used to collect spectral data. These data help us understand the evolution of many natural processes, the monitoring of agricultural and forest land, can allow the longest continuous data recording of the Earth's surface seen from space. Landsat data allow the monitoring of climate change, which leads to the improvement of human health and biodiversity. Satellite images have a very important role in the analysis of the earth's surface and important sources of extraction of stored geographical information. The study area is located in the west of Romania and is made up of the following administrative-territorial units: Ohaba Lungă, Mănăștiur, Dumbrava, Făget, Margina, Curtea, Fîrdea and Tomești. Based on the spectral information, four normalized differentiation indices for land surface analysis, namely NDMI, NDBR, NDWI and SAVI, were calculated for each study area.
satellite images, land surface, remote sensing, normalized indices of differentiation