20.500.12556/RUL-135502 Application of temporal convolutional neural network for the classification of crops on Sentinel-2 time series The recent development of Earth observation systems - like the Copernicus Sentinels - has provided access to satellite data with high spatial and temporal resolution. This is a key component for the accurate monitoring of state and changes in land use and land cover. In this research, the crops classification was performed by implementing two deep neural networks based on structured data. Despite the wide availability of optical satellite imagery, such as Landsat and Sentinel-2, the limitations of high quality tagged data make the training of machine learning methods very difficult. For this purpose, we have created and labeled a dataset of the crops in Slovenia for the year 2017. With the selected methods we are able to correctly classify 87% of all cultures. Similar studies have already been carried out in the past, but are limited to smaller regions or a smaller number of crop types. deep learning multi-temporal classification sequence data crop classification Sentinel-2 globoko učenje veččasovna klasifikacija sekvenčni podatki klasifikacija poljščin Sentinel-2 true false true Angleški jezik Slovenski jezik Neznano 2022-03-16 15:51:37 2022-03-16 15:51:38 2025-04-18 10:37:57 0000-00-00 00:00:00 2020 0 0 Str. 1337-1342 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 528.7:629.783 10.5194/isprs-archives-XLIII-B2-2020-1337-2020 95106563 33086979 isprs-archives-XLIII-B2-2020-1337-2020.pdf isprs-archives-XLIII-B2-2020-1337-2020.pdf 1 E3D9C18989C67B3F8433FDED49395E84 a54b7bae9eff2151ac9b9ac3075f2a27c3357c35dca19dd71748d375c776a131 8e54d366-1b84-11f0-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=209447 https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/1337/2020/ 0 a3ba80e9-1b90-11f0-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=209451 Fakulteta za gradbeništvo in geodezijo Fakulteta za računalništvo in informatiko 0 0 0