Sentinel-2 image interpretation

This video is an introduction to interpreting Sentinel-2 satellite imagery. We discuss various sources of reference information, the optical spectrum, the composition of the satellite signal formed by various properties of the surface. Various examples of features and processes of interest are shown and discussed. This video was recorded as part of the "Introduction to Cloud Processing of Sentinel Satellite Imagery" training course at the Hungarian University of Agriculture and Life Sciences. Please use the CDSE forum for questions and comments. https://forum.dataspace.copernicus.eu/ 0:00 Intro 01:18 Where to find information that you can compare with a satellite image 04:42 Fact-checking a news story with Sentinel-2: the yellow buses 05:51 Pixel integration effects - how bright signals can be seen despite low resolution 8:45 The electromagnetic spectrum 11:20 Sentinel-2 optical bands vs. the optical spectrum 13:31 Creating a color composite from the spectral bands 13:53 The spectral signature of vegetation 16:00 Understanding NDVI based on the optical signature of vegetation 19:59 Theory of the factors influencing the optical signal 22:04 The RGB artefact for fast-moving vehicles 25:29 Level-2 artefacts in steep terrain, level-1 vs level-2 data 31:33 Understanding vegetation patterns 35:00 Image interpretation in urban environments 36:53 Interpreting snow and ice effects 38:50 Sentinel-2 interpretation in desert areas 40:15 Interpreting fire 41:02 Wrap-up List of Browser scenes: Lake Balaton 3D: https://link.dataspace.copernicus.eu/kg3m Pilis mountain in 2021 (for timelapse) https://link.dataspace.copernicus.eu/6g42 Lake Tisza Tonemapped NIR https://tinyurl.com/tiszatone Iceland dust storm: https://link.dataspace.copernicus.eu/rq4i Yellow buses near Istvánpuszta https://link.dataspace.copernicus.eu/csbs Tihany peninsula (not the same visualization...) https://link.dataspace.copernicus.eu/5lu9 Drei Zinnen: https://link.dataspace.copernicus.eu/0pnk Manaus, Brazil: https://link.dataspace.copernicus.eu/0c6q Ngorongoro Crater: https://link.dataspace.copernicus.eu/c1ov Crops, Mecklenburg-Vorpommern: https://link.dataspace.copernicus.eu/9iad Sao Paolo, Brazil: https://link.dataspace.copernicus.eu/1y44 Reeves Glacier: https://link.dataspace.copernicus.eu/4uod Sahara Desert, Algeria: https://t.co/bzaAHCZI1g Glen Canyon, USA: https://link.dataspace.copernicus.eu/6tqr Lithology SWIR, Namibia: https://link.dataspace.copernicus.eu/8h9h Portugal fires: https://link.dataspace.copernicus.eu/ka4o Erg Chebbi, Morocco: https://link.dataspace.copernicus.eu/pwkj