CLASSIFICATION OF SELECTED CORINE CLASSES USING SENTINEL-2 DATA

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00360179" target="_blank" >RIV/68407700:21110/22:00360179 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2022-175-2022" target="_blank" >http://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2022-175-2022</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2022-175-2022" target="_blank" >10.5194/isprs-archives-XLIII-B3-2022-175-2022</a>

Result language
angličtina
Original language name
CLASSIFICATION OF SELECTED CORINE CLASSES USING SENTINEL-2 DATA
Original language description
The paper aims to classify arable land, pastures, and natural grassland CORINE land cover classes that share a similar spectral response. The classification was based on various phenology phases and elevation information of the study areas using a multitemporal and multisource approach. Machine learning was used to obtain high accuracy results. The proposed method combines Sentinel-2 and CORINE data, the Random Forest method, and open source tools.
Czech name
—
Czech description
—

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
ISBN
—
ISSN
1682-1750
e-ISSN
1682-1750
Number of pages
6
Pages from-to
175-180
Publisher name
International Society of Photogrammetry and Remote Sensing
Place of publication
Nice
Event location
Nice
Event date
Jun 6, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000855647800023

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