Small Water Bodies Identification by means of Remote Sensing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913460" target="_blank" >RIV/00216275:25410/18:39913460 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Small Water Bodies Identification by means of Remote Sensing

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

7th International Conference on Cartography and GIS : proceedings vol. 1, 2

ISBN

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ISSN

1314-0604

e-ISSN

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Number of pages

8

Pages from-to

718-726

Publisher name

Bulgarian Cartographic Association

Place of publication

Sofie

Event location

Sozopol

Event date

Jun 18, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000526176700079