Studies in the Area of Risk Management Reported from University of Novi Sad (Mapping of Inland Excess Water Using Geographical Information System and High-resolution Satellite Images: a Case Study of Srem, Serbia): Risk Management

2023 NOV 21 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Data detailed on Risk Management have been presented. According to news reporting originating in Novi Sad, Serbia, by NewsRx journalists, research stated, “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.”

Funders for this research include Ministry of Science, Technological Development and Innovation of the Republic of Serbia, Provincial Secretariat for Higher Education and Scientific Research activity as part of the project entitled: Determination of excess water in Vojvodina within the framework of climate change and extreme hydrometeorological phenomena.

The news reporters obtained a quote from the research from the University of Novi Sad, “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 km(2) of the territory in Srem.”

According to the news reporters, the research concluded: “The obtained maps can be used by responsible water management agencies to prevent and control excessive inland water.”

This research has been peer-reviewed.

For more information on this research see: Mapping of Inland Excess Water Using Geographical Information System and High-resolution Satellite Images: a Case Study of Srem, Serbia. Ecological Chemistry and Engineering S, 2023;30(3):343-355. Ecological Chemistry and Engineering S can be contacted at: Sciendo, Bogumila Zuga 32A, Warsaw, Mazovia, Poland.

Our news correspondents report that additional information may be obtained by contacting Andrea Salvai, University of Novi Sad, Faculty of Agriculture, Trg D Obradov 8, Novi Sad 21000, Serbia. Additional authors for this research include Nikola Santrac, Milica Stajic, Sanja Antic, Rados Zemunac, Pavel Benka, Atila Bezdan and Milica Vranesevic.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.2478/eces-2023-0037. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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