Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study

In this contribution, interpolation methods were assessed to build the bathymetry of 200 km of the Odra River in South Poland. The River Bed Mapping (RBM) was carried out surveying the depth of several reaches of the canalized part of the river using an Global Navigation Satellite System (GNSS) with...

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Autores principales:	Anna Uciechowska-Grakowicz, Oscar Herrera-Granados
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Geographic Information Systems (GIS) statistical error river training bathymetric data echo sounder ISOK project Science Q
Acceso en línea:	https://doaj.org/article/de7075914adc4ea1b32a21b6b838321c
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spelling	oai:doaj.org-article:de7075914adc4ea1b32a21b6b838321c2021-11-11T18:50:54ZRiverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study10.3390/rs132142362072-4292https://doaj.org/article/de7075914adc4ea1b32a21b6b838321c2021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4236https://doaj.org/toc/2072-4292In this contribution, interpolation methods were assessed to build the bathymetry of 200 km of the Odra River in South Poland. The River Bed Mapping (RBM) was carried out surveying the depth of several reaches of the canalized part of the river using an Global Navigation Satellite System (GNSS) with an echo sounder as well as two navigation schemes. The values from the interpolation were compared with the data from a classical cross-sectional survey as part of the ISOK (Polish acronym for Information System of Country Protection Against Extraordinary Hazards) project. Two statistical errors between the interpolation values and the ISOK information were estimated, namely, the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE). Thanks to the presented analysis, it was possible to compare and analyze which interpolation method fits the best for the batymetric surveying of a shallow river. For this specific case study, the TIN (Triangular Irregular Network) and the NN (Natural Neighbor) methods generates the most accurate RBM.Anna Uciechowska-GrakowiczOscar Herrera-GranadosMDPI AGarticleGeographic Information Systems (GIS)statistical errorriver trainingbathymetric dataecho sounderISOK projectScienceQENRemote Sensing, Vol 13, Iss 4236, p 4236 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geographic Information Systems (GIS) statistical error river training bathymetric data echo sounder ISOK project Science Q
spellingShingle	Geographic Information Systems (GIS) statistical error river training bathymetric data echo sounder ISOK project Science Q Anna Uciechowska-Grakowicz Oscar Herrera-Granados Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study
description	In this contribution, interpolation methods were assessed to build the bathymetry of 200 km of the Odra River in South Poland. The River Bed Mapping (RBM) was carried out surveying the depth of several reaches of the canalized part of the river using an Global Navigation Satellite System (GNSS) with an echo sounder as well as two navigation schemes. The values from the interpolation were compared with the data from a classical cross-sectional survey as part of the ISOK (Polish acronym for Information System of Country Protection Against Extraordinary Hazards) project. Two statistical errors between the interpolation values and the ISOK information were estimated, namely, the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE). Thanks to the presented analysis, it was possible to compare and analyze which interpolation method fits the best for the batymetric surveying of a shallow river. For this specific case study, the TIN (Triangular Irregular Network) and the NN (Natural Neighbor) methods generates the most accurate RBM.
format	article
author	Anna Uciechowska-Grakowicz Oscar Herrera-Granados
author_facet	Anna Uciechowska-Grakowicz Oscar Herrera-Granados
author_sort	Anna Uciechowska-Grakowicz
title	Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study
title_short	Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study
title_full	Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study
title_fullStr	Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study
title_full_unstemmed	Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study
title_sort	riverbed mapping with the usage of deterministic and geo-statistical interpolation methods: the odra river case study
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/de7075914adc4ea1b32a21b6b838321c
work_keys_str_mv	AT annauciechowskagrakowicz riverbedmappingwiththeusageofdeterministicandgeostatisticalinterpolationmethodstheodrarivercasestudy AT oscarherreragranados riverbedmappingwiththeusageofdeterministicandgeostatisticalinterpolationmethodstheodrarivercasestudy
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Riverbed Mapping with the Usage of Deterministic and Geo-Statistical Interpolation Methods: The Odra River Case Study

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