Mapping Floods Using Open Source Data and Software - Sentinel-1 and Esa Snap

Cimpianu, Catalin Ioan; Mihu-Pintilie, Alin

doi:10.18509/gbp.2018.57

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…For example, approximately at intervals of two years in the last 20 years (post-2000), major flood events have occurred and became a constant threat to urban and rural settlements located within the floodplains of the main rivers [9]. Generally, the most catastrophic floods events were caused by heavy rains [10,11], but their impact was also amplified by the inefficient river regulation measures [12,13], the intensification of deforestation [14], and/or housing development within the floodplain areas [15,16]. Also, in some cases, the impact and damage caused by floods were determined by the incapacity of the local authorities to implement efficient planning policies (e.g., achievement of flood hazard maps with high accuracy).…”

Section: Introductionmentioning

confidence: 99%

Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Hutanu

Mihu-Pintilie

Urzica

et al. 2020

Water

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The ability to extract flood hazard settings in highly vulnerable areas like populated floodplains by using new computer algorithms and hydraulic modeling software is an important aspect of any flood mitigation efforts. In this framework, the 1D/2D hydraulic models, which were generated based on a Light Detection and Ranging (LiDAR) derivate Digital Elevation Model (DEM) and processed within Geographical Information Systems (GIS), can improve large-scale flood hazard maps accuracy. In this study, we developed the first flood vulnerability assessment for 1% (100-year) and 0.1% (1000-year) recurrence intervals within the Jijia floodplain (north-eastern Romania), based on 1D HEC-RAS hydraulic modeling and LiDAR derivate DEM with 0.5 m spatial resolution. The results were compared with official flood hazards maps developed for the same recurrence intervals by the hydrologists of National Administration “Romanian Waters” (NARW) based on MIKE SHE modeling software and a DEM with 2 m spatial resolutions. It was revealed that the 1D HEC-RAS provides a more realistic perspective about the possible flood threats within Jijia floodplain and improves the accuracy of the official flood hazard maps obtained according to Flood Directive 2007/60/EC.

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Section: Introductionmentioning

confidence: 99%

Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Hutanu

Mihu-Pintilie

Urzica

et al. 2020

Water

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Flood Hazard Assessment in the Joint Floodplain Sector of Baseu and Prut Rivers (Ne Romania) by Reconstructing Historical Flood Events

Urzica¹,

Grozavu²

2021

Carpathian J. Earth Environ. Sci.

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Using Open-Source Sentinel-1A Images for Flood Susceptibility Mapping in North Bihar, India

Aggarwal

Anjali

2022

JSE

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Natural calamities such as floods are a severe menace, causing huge socio-environmental threats. Remote sensing technologies have proven to be a boon in precisely mapping the spatiotemporal effects and spread of floods, allowing remedial measures to be implemented on time. This paper aims to demarcate the extent of flooded areas in the study area by the application of remote sensing techniques that involve combining temporal images acquired during the flood (crisis images) with images acquired before the flood (archive images). In disaster mapping applications, the image that is acquired before the event takes place is referred to as the archive image, while the image that is acquired at the time of the event is referred to as the crisis image. The research objectives were achieved through the analysis of freely available Sentinel-1A data to delineate the extent of flooded areas in the European Space Agency's-Sentinel Applications Platform (ESA-SNAP) environment. Multi-looking, radiometric calibration, and range doppler terrain correction (geometric) were applied to the temporal images for better visualization and distinction and for projecting the pixels onto the proper map system. Later, the archive and crisis images were overlaid to form a Red Green Blue (RGB) composite that showed the extent and spread of floods in north Bihar, where each color represented areas of different significance. Further, the flood map was overlaid onto the Google Earth optical layer for better visualization and comparison. The work demonstrated the applicability and use of remote sensing and GIS technology to quickly gain insight into the spatial and temporal distribution of floods in a given region and could be used as a precursor for efficient flood management and relief measures.

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Mapping Floods Using Open Source Data and Software - Sentinel-1 and Esa Snap

Cited by 3 publications

References 23 publications

Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Using 1D HEC-RAS Modeling and LiDAR Data to Improve Flood Hazard Maps Accuracy: A Case Study from Jijia Floodplain (NE Romania)

Flood Hazard Assessment in the Joint Floodplain Sector of Baseu and Prut Rivers (Ne Romania) by Reconstructing Historical Flood Events

Using Open-Source Sentinel-1A Images for Flood Susceptibility Mapping in North Bihar, India

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