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Article

Sentinel-1 for Monitoring Reservoirs: A Performance Analysis

1
Department of Electrical Engineering and Information Technology, University of Napoli Federico II, Via Claudio 21, 80125 Napoli, Italy
2
Department of Civil Engineering, University of Salerno, Via Giovanni Paolo II 132, 84084 Fisciano (SA), Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2014, 6(11), 10676-10693; https://doi.org/10.3390/rs61110676
Received: 16 May 2014 / Revised: 23 October 2014 / Accepted: 24 October 2014 / Published: 4 November 2014
(This article belongs to the Special Issue Earth Observation for Water Resource Management in Africa)
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. View Full-Text
Keywords: Synthetic Aperture Radar; Sentinel-1; water resources; semi-arid regions; reservoirs management Synthetic Aperture Radar; Sentinel-1; water resources; semi-arid regions; reservoirs management
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MDPI and ACS Style

Amitrano, D.; Martino, G.D.; Iodice, A.; Mitidieri, F.; Papa, M.N.; Riccio, D.; Ruello, G. Sentinel-1 for Monitoring Reservoirs: A Performance Analysis. Remote Sens. 2014, 6, 10676-10693. https://doi.org/10.3390/rs61110676

AMA Style

Amitrano D, Martino GD, Iodice A, Mitidieri F, Papa MN, Riccio D, Ruello G. Sentinel-1 for Monitoring Reservoirs: A Performance Analysis. Remote Sensing. 2014; 6(11):10676-10693. https://doi.org/10.3390/rs61110676

Chicago/Turabian Style

Amitrano, Donato, Gerardo D. Martino, Antonio Iodice, Francesco Mitidieri, Maria N. Papa, Daniele Riccio, and Giuseppe Ruello. 2014. "Sentinel-1 for Monitoring Reservoirs: A Performance Analysis" Remote Sensing 6, no. 11: 10676-10693. https://doi.org/10.3390/rs61110676

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