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Abstract
Thanks to the ability to collect information about large areas and with high frequency in time areas threatened by floods can be closely monitored. The effects of flooding are socio-economic losses. In order to reduce those losses, actions related to the determination of building zones are taken. Moreover, the conditions to be met by facilities approved for implementation in such areas are determined. Therefore, satellite data from the Earth observation program play a key role in assessing water conditions that are variable in space and in time. The article specifies the probability of flooding the area in the vicinity of the Łyna River valley in the Sępopol commune. The analysis has been carried out for areas where floods have occurred. The spatial data from airborne laser scanning and satellite radar interferometry was examined in the context of its usefulness in the determination of the maximum possible extent of flooding. In order to transform data into useful information, it was necessary to integrate both the spatial and temporal dimension of the SAR time series. Finally, digital terrain model with high resolution was created.
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Authors (3)
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Beata Wieczorek
- Uniwersytet Warmińsko-Mazurski w Olsztynie, Wydział Geodezji, Inżynierii Przestrzennej i Budownictwa
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Tomasz Sidorowicz mgr
- Uniwersytet Warmińsko-Mazurski w Olsztynie, Wydział Geodezji, Inżynierii Przestrzennej i Budownictwa
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Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing strony 1 - 7
- ISSN:
- 1314-2704
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Wieczorek b., Sobieraj-Żłobińska A., Sidorowicz T.: TIME SERIES DATA FOR 3D FLOOD MAPPING// 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing/ : , 2018, s.1-7
- DOI:
- Digital Object Identifier (open in new tab) 10.5593/sgem2018/2.2/s08.064
- Verified by:
- Gdańsk University of Technology
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