Remote sensing is the technology through which objects can be measured, identified, and analyze remotely, without the need for direct contact. For analysis of satellite images, we used the data obtained from Copernicus Sentinel-2. Sentinel-2 is used for plant growth monitoring, but it can be also used for supervision changes in the terrain, as well as forest changes. The images obtained by Sentinel-2 are given by a constellation of two identical satellites in the same orbit, with a high spatial resolution in the optical field. Sentinel-2 offers good quality high quality images as well as multispectral images, observation of changes in land. Each Sentinel-2 satellite weighs about 1.2 tons and has been built to be compatible with small launchers, as VEGA and ROCKOT. Sentinel-2 satellites are 180 degrees apart in the same orbit. Copernicus Sentinel-2 uses 13 spectral bands, and the spatial resolution depends on the particular spectral band: 4 bands at 10m: blue (480nm), green (560nm), red (665nm) and almost infrared (842nm); 6 bands at 20m: 4 narrow bands for characterizing vegetation (705nm, 740nm, 783nm and 865nm) and 2 large SWIR bands (1,610nm and 2,190nm) for applications such as snow detection, frost or moisture in vegetation; 3 bands at 60m: mainly for atmospheric corrections and cloud detection (443nm for aerosols, 945nm for water vapor and 1375nm for Cirrus cloud detection).

Remote sensing, satellite images, Sentinel-2, satellites, spectral bands

environmental engineering

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