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Dive into the research topics where Francesco Mitidieri is active.

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Featured researches published by Francesco Mitidieri.


Remote Sensing | 2014

Sentinel-1 for Monitoring Reservoirs: A Performance Analysis

Donato Amitrano; Gerardo Di Martino; Antonio Iodice; Francesco Mitidieri; Maria Nicolina Papa; Daniele Riccio; Giuseppe Ruello

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.


IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2014

Modeling Watershed Response in Semiarid Regions With High-Resolution Synthetic Aperture Radars

Donato Amitrano; Fabio Ciervo; Gerardo Di Martino; Maria Nicolina Papa; Antonio Iodice; Youssouf Koussoube; Francesco Mitidieri; Daniele Riccio; Giuseppe Ruello

In this paper, we propose a methodology devoted to exploit the outstanding characteristics of COSMO-SkyMed for monitoring water bodies in semiarid countries at a scale never experienced before. The proposed approach, based on appropriate registration, calibration, and processing of synthetic aperture radar (SAR) data, allows outperforming the previously available methods for monitoring small reservoirs, mainly carried out with optical data, and severely limited by the presence of cloud coverage, which is a frequent condition in wet season. A tool has been developed for computing the water volumes retained in small reservoirs based on SAR-derived digital elevation model. These data have been used to derive a relationship between storage volumes and surface areas that can be used when bathymetric information is unavailable. Due to the lack of direct measures of rivers discharge, the time evolution of water volumes retained at reservoirs has been used to validate a simple rainfall-runoff hydrological model that can provide useful recommendation for the management of small reservoirs. Operational scenarios concerning the improvement in the efficiency of reservoirs management and the estimation of their impact on downstream area point out the applicative outcomes of the proposed method.


international geoscience and remote sensing symposium | 2015

Hydrological modeling in ungauged basins using SAR data

Donato Amitrano; Gerardo Di Martino; Antonio Iodice; Youssouf Koussoube; Francesco Mitidieri; Maria Nicolina Papa; Daniele Riccio; Giuseppe Ruello

In this paper we propose a methodology devoted to exploit high resolution radars for monitoring water bodies in semi-arid countries. The proposed approach is based on appropriate registration, calibration and processing of SAR data, producing information ready to use by end-users. The obtained results were used to (i) estimate a relationship between surface and volume of water stored in reservoirs and (ii) validate a hydrological model that simulates the time evolution of water availability.


Archive | 2015

Monitoring Soil Erosion and Reservoir Sedimentation in Semi-arid Region Through Remote Sensed SAR Data: A Case Study in Yatenga Region, Burkina Faso

Donato Amitrano; Fabio Ciervo; Pierluigi Di Bianco; Gerardo Di Martino; Antonio Iodice; Francesco Mitidieri; Daniele Riccio; Giuseppe Ruello; Maria Nicolina Papa; Youssouf Koussoube

Monitoring soil erosion and consequent reservoirs sedimentation is necessary for a proper planning of water and soil conservation measures. Applicability to large scale and cheapness of the monitoring system is crucial for low income countries. The present work proposes a novel approach in which remote sensed SAR and Landsat data are used for monitoring reservoir’s sedimentation and for mapping the soil erosion risk at catchment scale. Novel techniques for SAR imagery pre-processing are combined with empirical soil loss estimates. A SAR derived DEM is used to monitor the soil sedimentation rate of small reservoirs. The USLE (Universal Soil Loss Equation) method is used to draw a soil erosion risk map and to roughly estimate the total soil loss at catchment scale.


2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp) | 2017

Mapping small reservoirs in semi-arid regions using multitemporal SAR: Methods and applications

Donato Amitrano; Gerardo Di Martino; Antonio Iodice; Francesco Mitidieri; Maria Nicolina Papa; Daniele Riccio; Giuseppe Ruello

In this paper, we introduce an innovative method to map small reservoirs in semi-arid environment. The proposed technique is based on the exploitation of the recently introduced Level-1α RGB SAR composite, and it is based on change-detection. In particular, we introduce a user-oriented water index defined by a weighted ratio of the bands composing the RGB product. The performance of the method are evaluated by comparison with other popular segmentation techniques of the same complexity in order to demonstrate its reliability. Finally, an applications concerning hydrology, i.e the estimation of reservoir bathymetry starting from area measurements, is presented to underline the usefulness of remote sensing in multidisciplinary contexts.


Remote Sensing for Agriculture, Ecosystems, and Hydrology XVIII | 2016

Water resource monitoring in semi-arid environment through the synergic use of SAR data and hydrological models

Donato Amitrano; Gerardo Di Martino; Antonio Iodice; Francesco Mitidieri; Maria Nicolina Papa; Daniele Riccio; Giuseppe Ruello

In semi-arid regions, small reservoirs are widely employed for facing seasonal in water availability due to the alternation of a short rainy season and of a very long dry season. Therefore, their monitoring is fundamental for local rural communities wellness. In this paper, we present a novel framework for water resources management exploiting the synergy of synthetic aperture radar (SAR) data and hydrological models. The pilot project was implemented in Burkina Faso, showing good potentialities for cheap and continuous monitoring of the environment through the exploitation of a multi-disciplinary framework.


international geoscience and remote sensing symposium | 2014

Use of high resolution SAR images for modeling watershed response in semi-arid regions

Donato Amitrano; Gerardo Di Martino; Antonio Iodice; Youssouf Koussoube; Francesco Mitidieri; Maria Nicolina Papa; Daniele Riccio; Giuseppe Ruello

In this paper we propose a methodology devoted to exploit high resolution radars for monitoring water bodies in semiarid countries. The proposed approach is based on appropriate registration, calibration and processing of SAR data, producing information ready to use by end-users. The obtained results were used to (i) estimate a relationship between surface and volume of water stored in reservoirs and (ii) validate a hydrological model that simulates the time evolution of water availability.


The EGU General Assembly | 2016

Monitoring small reservoirs in semi-arid region by satellite SAR data

Maria Nicolina Papa; Francesco Mitidieri; Amitrano Donato; Ruello Giuseppe; Gerardo Di Martino; Iodice Antonio; Riccio Daniele


European Journal of Remote Sensing | 2016

River morphology monitoring using multitemporal SAR data: preliminary results

Francesco Mitidieri; Maria Nicolina Papa; Donato Amitrano; Giuseppe Ruello


The EGU General Assembly | 2017

Potential and limitations of high resolution multitemporal sar images inriver morphology

Francesco Mitidieri; Maria Nicolina Papa; Amitrano Donato; Ruello Giuseppe

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Donato Amitrano

Information Technology University

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Gerardo Di Martino

Information Technology University

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Giuseppe Ruello

Information Technology University

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Antonio Iodice

Information Technology University

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Daniele Riccio

Information Technology University

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