Published in: Third National Conference on Hydrology of Iran
COI code: KSAHC03_050
Paper Language: English
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Authors Flood prone areas detection in Haraz watershed using multi-temporal SENTINEL-1 dataHiman Shahabi - Department of Geomorphology, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
Ataollah Shirzadi - Department of Watershed Sciences Engineering, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
Kamran Chapi - Department of Watershed Sciences Engineering, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
Shaojun Li - State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 110081, China
Abstract:Floods are among the most frequent natural disasters caused by meteorological phenomena. Remote sensing data can determine the extent of flooding over large geographical areas, providing an advantage over in situ data sources where the information can have limited spatial and temporal resolution whilst being costly to acquire. Flood detection using Synthetic Aperture Radar (SAR) data has attracted considerable attention in recent years. The main objective of this study was to detection of flood prone areas in Haraz watershed, Mazandaran Province, using multi-temporal SENTINEL-1 data. The images have been acquired through the Sentinels Scientific Data Hub. Images, which are taken in the separate days and positions are able to identify occurred changes between two images. Two satellite imageries in 06 October 2015 and 21 November 2018 of the same place and the same position (For topographic issues at different positions) are generally used to flood prone areas detection in the study area by using InSAR technique. Digital image processing and analysis of the satellite data was carried out using SNAP and ENVI 6.1 software, while the manipulation of the spatial information was made using ArcGIS 10.2. However, with help of the Google Earth images the flood prone areas were checked and digitized. Results indicate that the visual interpretation of flood prone area in the Haraz watershed using multi-temporal SENTINEL-1 data with the assist of Google Earth is a robust and efficient way to extract of flood prone areas in the study area
Keywords:Flood hazard, Detection, Multi-temporal data, SENTINEL-1 data, Haraz watershed
COI code: KSAHC03_050
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Shahabi, Himan; Ataollah Shirzadi; Kamran Chapi & Shaojun Li, 2019, Flood prone areas detection in Haraz watershed using multi-temporal SENTINEL-1 data, Third National Conference on Hydrology of Iran, سنندج, جهاد دانشگاهي كردستان - اتاق بازرگاني،صنايع،معادن و كشاورزي سنندج, https://www.civilica.com/Paper-KSAHC03-KSAHC03_050.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Shahabi, Himan; Ataollah Shirzadi; Kamran Chapi & Shaojun Li, 2019)
Second and more: (Shahabi; Shirzadi; Chapi & Li, 2019)
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Type: state university
Paper No.: 4340
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