Mapping of inland excess water using geographical information system and high-resolution satellite images : a case study of Srem, Serbia

• Autorzy: Salvai Andrea , Santrac Nikola , Stajic Milica , Antic Sanja , Zemunac Rados , Benka Pavel , Bezdan Atila , Vranesevic Milica

Identyfikatory

DOI

10.2478/eces-2023-0037

• Języki publikacji: EN

Abstrakty

EN

Extreme hydrological events, such as floods and droughts, are becoming more frequent as a result of climate change, leading to negative impacts on various economic sectors. The Pannonian-Carpathian Basin is particularly affected by the increasing frequency of hazardous hydrological events. Agricultural production, which is a highly significant economic sector in the region, is particularly vulnerable to these unfavourable climatic conditions. Changes in precipitation patterns and soil moisture levels can lead to reduced crop yields, while floods can pollute water sources and erode fertile soil. Mapping of Inland Excess Water (IEW), also known as ponding water or waterlogged areas, is crucial for informed decision-making, damage compensation, risk management, and future prevention planning. Remote sensing technology and machine learning have been demonstrated to be valuable tools for the mapping of IEW. The 2014 floods in Southeastern and Central Europe serve as a reminder of the importance of effective flood risk management. This study used a Geographical Information System (GIS) and a Semi-automated Classification Processing (SCP) tool to process high-resolution RapidEye satellite images from the 2014 floods in the Srem region of Serbia. The Spectral Angle Mapping (SAM) classification model was used to produce a map of IEW. The SAM model achieved an overall accuracy of 92.68 %. The study found that IEW affected approximately 2.90 % or 99.59 km² of the territory in Srem. The obtained maps can be used by responsible water management agencies to prevent and control excessive inland water.

Słowa kluczowe

EN

inland excess water; High Resolution Satellite image; GIS; Semi-automated Classification Processing tool; Spectral Angle Mapper; SAM

PL

nadmiar wody; wody śródlądowe; wysokorozdzielcze zobrazowania satelitarne; system informacji geograficznej; GIS; Spectral Angle Mapper

• Wydawca: Towarzystwo Chemii i Inżynierii Ekologicznej
• Czasopismo: Ecological Chemistry and Engineering. S
• Rocznik: 2023
• Tom: Vol. 30, nr 3
• Strony: 343--355
• Opis fizyczny: Bibliogr. 35 poz., rys., tab.

Twórcy

autor

Salvai Andrea

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0002-0412-6116

autor

Santrac Nikola

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0001-7183-8511

autor

Stajic Milica

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0003-4470-474X

autor

Antic Sanja

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0002-6572-1250

autor

Zemunac Rados

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0002-6648-9529

autor

Benka Pavel

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0001-6229-5180

autor

Bezdan Atila

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0003-3713-3002

autor

Vranesevic Milica

• Faculty of Agriculture, University of Novi Sad, Trg D. Obradovica 8, 21000 Novi Sad, Serbia, phone [phone], fax [phone]

• https://orcid.org/0000-0002-6245-8901

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).