Sentinel-1 for Monitoring Reservoirs: A Performance Analysis

In this paper we explore the performances and the opportunities provided by the European satellite Sentinel-1 for water resource management applications in low-income countries. The analysis is supported by a synthetic aperture radar (SAR) simulator, which allowed the quantification of the expected...

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Main Authors: Donato Amitrano, Gerardo Di Martino, Antonio Iodice, Francesco Mitidieri, Maria Nicolina Papa, Daniele Riccio, Giuseppe Ruello
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/6/11/10676
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spelling doaj-3e32557bcb3041ebafb661286a81aeb22020-11-24T23:54:08ZengMDPI AGRemote Sensing2072-42922014-11-01611106761069310.3390/rs61110676rs61110676Sentinel-1 for Monitoring Reservoirs: A Performance AnalysisDonato Amitrano0Gerardo Di Martino1Antonio Iodice2Francesco Mitidieri3Maria Nicolina Papa4Daniele Riccio5Giuseppe Ruello6Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, ItalyDepartment of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, ItalyDepartment of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), ItalyDepartment of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), ItalyDepartment of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, ItalyDepartment of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, ItalyIn this paper we explore the performances and the opportunities provided by the European satellite Sentinel-1 for water resource management applications in low-income countries. The analysis is supported by a synthetic aperture radar (SAR) simulator, which allowed the quantification of the expected characteristics of Sentinel-1 products in three applications: interferometric digital elevation models (DEMs) generation, land cover mapping and estimation of water volumes retained by small reservoirs. The obtained results quantitatively show that Sentinel-1 data characteristics are fully suitable for most of the application already explored in the recent SAR literature.http://www.mdpi.com/2072-4292/6/11/10676Synthetic Aperture RadarSentinel-1water resourcessemi-arid regionsreservoirs management
collection DOAJ
language English
format Article
sources DOAJ
author Donato Amitrano
Gerardo Di Martino
Antonio Iodice
Francesco Mitidieri
Maria Nicolina Papa
Daniele Riccio
Giuseppe Ruello
spellingShingle Donato Amitrano
Gerardo Di Martino
Antonio Iodice
Francesco Mitidieri
Maria Nicolina Papa
Daniele Riccio
Giuseppe Ruello
Sentinel-1 for Monitoring Reservoirs: A Performance Analysis
Remote Sensing
Synthetic Aperture Radar
Sentinel-1
water resources
semi-arid regions
reservoirs management
author_facet Donato Amitrano
Gerardo Di Martino
Antonio Iodice
Francesco Mitidieri
Maria Nicolina Papa
Daniele Riccio
Giuseppe Ruello
author_sort Donato Amitrano
title Sentinel-1 for Monitoring Reservoirs: A Performance Analysis
title_short Sentinel-1 for Monitoring Reservoirs: A Performance Analysis
title_full Sentinel-1 for Monitoring Reservoirs: A Performance Analysis
title_fullStr Sentinel-1 for Monitoring Reservoirs: A Performance Analysis
title_full_unstemmed Sentinel-1 for Monitoring Reservoirs: A Performance Analysis
title_sort sentinel-1 for monitoring reservoirs: a performance analysis
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2014-11-01
description In this paper we explore the performances and the opportunities provided by the European satellite Sentinel-1 for water resource management applications in low-income countries. The analysis is supported by a synthetic aperture radar (SAR) simulator, which allowed the quantification of the expected characteristics of Sentinel-1 products in three applications: interferometric digital elevation models (DEMs) generation, land cover mapping and estimation of water volumes retained by small reservoirs. The obtained results quantitatively show that Sentinel-1 data characteristics are fully suitable for most of the application already explored in the recent SAR literature.
topic Synthetic Aperture Radar
Sentinel-1
water resources
semi-arid regions
reservoirs management
url http://www.mdpi.com/2072-4292/6/11/10676
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