Small Water Bodies Identification by means of Remote Sensing
Konferenční objektOtevřený přístuppeer-reviewedpostprintDatum publikování
2018
Vedoucí práce
Oponent
Název časopisu
Název svazku
Vydavatel
Bulgarian Cartographic Association
Abstrakt
Remotely sensed data are frequently used to identify water bodies. In comparison with UAV data, they are limited by resolution and availability. Paper evaluates suitability of Landsat 8, Sentinel 2 and UAV data in the case of identification of shorelines of smaller water bodies. For the study, surrounding of Pardubice city (the Czech Republic) is an area of interest. Three data sources are used: Landsat 8, Sentinel 2 and UAV data. Several algorithms are used for spectral enhancement and data classification: Iso Cluster, Maximum Likelihood, Class Probability, Principal Components, and NDWI. Manual classification is used as a reference method. No post-classification method is used to preserve shapes of small water bodies. Error matrix is used for evaluation of the classification quality. Multi-criteria evaluation shows that Sentinel 2 data classified by means of Iso Cluster provides the best results. NDWI is very close to the best results. Next, we demonstrate that UAV can provide data with a higher spatial resolution on demand for reasonable costs so they are more suitable for small water bodies. Heterogeneity of the data and treetops overlapping the shoreline led to the manual classification based on the results of Iso Cluster classification.
Rozsah stran
p. 718-726
ISSN
1314-0604
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Projekt
SGS_2018_019/Pokročilá podpora rozvoje chytrých měst a regionů
Zdrojový dokument
7th International Conference on Cartography and GIS : proceedings vol. 1, 2
Vydavatelská verze
Přístup k e-verzi
open access
Název akce
7th International Conference on Cartography and GIS (18.06.2018 - 23.06.2018, Sozopol)
ISBN
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Klíčová slova
Small water bodies, Landsat 8, Sentinel 2, UAV, Imagery classification, malá vodní tělesa, Landsat 8, Sentinel 2, UAV, klasifikace obrazu