Field Crops Classiffcation Using Sentinel-2 Satellite Image Data

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00353105" target="_blank" >RIV/68407700:21340/21:00353105 - isvavai.cz</a>
Result on the web
<a href="https://gams.fjfi.cvut.cz" target="_blank" >https://gams.fjfi.cvut.cz</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Field Crops Classiffcation Using Sentinel-2 Satellite Image Data
Original language description
Sentinel-2 mission, developed and operated by European Space Agency (ESA), is designed to provide high-resolution image data over land and coastal waters, which are further used for a multitude of applications, such as agricultural monitoring. Acquired data by the Sentinel-2 satellite are publicly available under the Copernicus Programme and can be accessed straightforwardly. In addition, we are provided with annotated maps of agricultural fields, which can be used as ground truth data. These maps include the location and additional speciffcation of fields and crops grown on the field. In this paper, we are interested in field crop classiffcation within the specified region. Aforementioned Sentinel-2 satellite image data and field labels are therefore combined to provide a dataset. This dataset can be then utilized by the classifier. For this cause, convolutional neural networks are used, as they have shown outstanding results of image classiffcation over the past years.
Czech name
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Czech description
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Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SPMS 2020/21 Stochastic and Physical Monitoring Systems, Proceedings of the international conferences
ISBN
978-80-01-06922-6
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
61-64
Publisher name
České vysoké učení technické v Praze
Place of publication
Praha
Event location
Malá Skála
Event date
Jun 24, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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