The precise delineation of coastal areas subject to past, present, and future erosive processes plays a fundamental role in risk management. Within this framework, satellite data represent valuable synoptic multi-temporal information source. Therefore, research integrated remote sensing GIS techniques for mapping modeling shoreline evolution through time. Long-term shoreline's proxy rates advance retreat were determined using Landsat from the mid-1980s 2011 subsequently, short-term scenario...

Assessing the performance of optical imaging systems is crucial to evaluate their capability satisfy product requirements for an Earth Observation (EO) mission. In particular, evaluation image quality undoubtedly one most important, critical and problematic aspects remote sensing. It involves not only pre-flight analyses, but also continuous monitoring throughout operational lifetime observing system. The Ground Sampling Distance (GSD) system often parameter used quantify its spatial...

The article of the freeze/thaw dynamic high-latitude Earth surfaces is extremely important and informative for monitoring carbon cycle, climate change, security infrastructures. Current methodologies mainly rely on use active passive microwave sensors, while very few efforts have been devoted to assessment potential observations based signals opportunity. This aims at assessing performance spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) high-spatial high-temporal...

A reliable estimation of soil moisture conditions is fundamental for rivers' discharge predictions, especially in small catchments where flash floods occur. In this context, microwave remote sensing can be exploited to estimate at large scale. These estimates used enhance the predictions hydrological models using data assimilation techniques. Flash flood early warning systems can, thus, improved. This study tested effect three different ASCAT-derived products, processed and distributed...

This work presents an overview of the activity developed in frame a project funded by European Space Agency (ESA). The research was focused on study potential applications GNSS Reflectometry (GNSS-R) over land, with emphasis soil moisture (SM) and biomass. A about sensitivity respect to freeze–thaw dynamics considered as well. started analysis GNSS-R reflectivity collected <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TechDemoSat-1</i> (...

Cenci, L., Disperati, Sousa, L.P., Phillips, M. and Alves, F.L., 2013. Geomatics for Integrated Coastal Zone Management: multitemporal shoreline analysis future regional perspective the Portuguese Central Region. Proceedings 12th International Symposium (Plymouth, England), Journal of Research, Special Issue No. 65, pp. 1349–1354, ISSN 0749-0208.-->Shoreline mapping change detection are critical Management (ICZM) all that it represents. This research utilized previous studies combined both...

Satellite remote sensing data are often used to extract water surfaces related extreme events like floods. This study presents the Multi INDEx Differencing (MINDED) method, an innovative procedure estimate flood extents, aiming at improving robustness of single water-related indices and threshold-based approaches. MINDED consists a change detection approach integrating specific sensitivities several indices. Moreover, method also allows quantify uncertainty Overall map, based on both...

Abstract. The assimilation of satellite-derived soil moisture estimates (soil moisture–data assimilation, SM–DA) into hydrological models has the potential to reduce uncertainty streamflow simulations. improved capacity monitor closeness saturation small catchments, such as those characterizing Mediterranean region, can be exploited enhance flash flood predictions. When compared other microwave sensors that have been for SM–DA in recent years (e.g. Advanced SCATterometer – ASCAT),...

A reliable estimation of soil moisture conditions is fundamental for discharges prediction and, consequently, flood risk mitigation. Microwave remote sensing can be exploited to estimate at large scale. These estimates used enhance the predictions hydrological models using Data Assimilation techniques and reduce model uncertainties. This research tested effects assimilation three different satellite-derived products (obtained from ASCAT acquisitions) in a distributed, physically based,...

We report the outcomes of delayed primary repair flexor tendons in Zone 2 31 fingers and thumb (28 patients) averaging 15 days (range 4–37) after injury 2020. The delay was longer than usual due to COVID-19 pandemic. were repaired with a 6-strand core suture (M-Tang method) or double Tsuge peripheral suture. This followed by an early, partial-range, active flexion exercise programme. Adhesions four digits required tenolysis. These patients not longest delay. Outcomes two improved other...

The Copernicus Coordinated data Quality Control (CQC) service is in charge of monitoring the quality Earth Observation (EO) products and datasets generated by Contributing Missions (CCMs) distributed within programme. To this aim, it develops applies rigorous assessment procedures. Within context, paper describes workflow designed CQC for evaluating EO-derived Digital Elevation Models (DEMs). also summarizes outcome analysis performed on DEM dataset to assess its absolute vertical accuracy...

Developing reliable methodologies of data quality assessment is paramount importance for maximizing the exploitation Earth observation (EO) products. Among different factors influencing EO optical image quality, sharpness has a relevant role. When implementing on-orbit approaches assessment, such as edge method, crucial step that strongly affects final results selection suitable edges to use analysis. Within this context, paper aims at proposing semi-automatic, statistically-based method...

Coastal zones are fragile and dynamic environments, most of the time largely urbanized particularly vulnerable to natural hazards. Therefore, coastal areas often exposed high risk shoreline position monitoring modelling is required mitigate it. In this context, satellite data fundamental provide synoptic multitemporal information useful map model through time. The aim work was study evolution two selected areas, in Portugal Italy. Shoreline historical rates were obtained by analyzing Landsat...

First results of the assimilation high-resolution Sentinel-1A based soil moisture products in a distributed, physically based, hydrological model are presented. A comprehensive evaluation assimilation's impact on discharge predictions is provided. Results further compared to those obtained when assimilating lower-resolution ASCAT-based product. The exercise was carried out within MIDA project framework (funded by Italian Space Agency) aiming at producing root zone maps useful for flood risk...

This work was conceived for assessing the potential of Copernicus DEM (CopDEM) dataset to identify (flash) flood-prone areas by using a geomorphological approach. is distributed in different instances (named: EEA-10, GLO-30, GLO-90) characterized pixel sizes/spatial coverages/licenses (EEA-10: 10&12 m/European/restricted; GLO-30: 30 m/global/public; GLO- 90: 90 m/global/public). The analysis compared performances abovementioned application. An exemplifying Mediterranean catchment located...

The recent surge in interest towards hyperspectral imagery has the potential to unlock a new range of applications for scientific community. However, compared traditional multi-spectral images, workload required process such high-dimensional data is dramatically increased, point that and more flexible strategies must be developed order properly monitor quality this type products. In particular case sharpness assessment, procedures based on edge method tend extremely time-consuming due their...

The next generation of synthetic aperture radar (SAR) systems could foresee satellite missions based on a geosynchronous orbit (GEO SAR). These are able to provide images with an unprecedented combination spatial (≤1 km) and temporal (≤12 h) resolutions. This paper investigates the GEO SAR potentialities for soil moisture (SM) mapping finalized hydrological applications, defines best compromise, in terms image spatio-temporal resolution, SM monitoring. A moisture–data assimilation (SM-DA)...

This work was conceived to analyze the impact of different instances Copernicus DEM (CopDEM) dataset (named: EEA-10, GLO-30, GLO-90) on orthorectification Very High Resolution (VHR) optical data (spatial resolution: 2–4 m). Indeed, CopDEM are characterized by pixel sizes/spatial coverages/licenses (EEA-10: 10&12 m/European/restricted; GLO-30: 30 m/global/public; GLO-90: 90 m/global/public). Findings showed that all provided valuable topographic information allows reaching similar values...

As part of the Copernicus Programme, Sentinel 1 (S1) synthetic aperture radar (SAR) mission represents a unique monitoring tool whose potentialities for hydrological risk mitigation need to be evaluated. To this aim, S1-A derived soil moisture maps with high spatial resolution (100 m) and moderate temporal (12 days) were assimilated within time-continuous, spatially-distributed, physically-based model (Continuum) specific objective evaluate impact on discharge predictions (flash) flood...

The objective of this research was to develop a method for water level retrieval in natural and artificial lakes. It thought be applied monitoring purposes flood control applications, especially data-scarce environments. is based on combined GIS, remote sensing statistical modeling approach. tested both optical (Landsat 8) SAR (Cosmo-SkyMed®) data. topographic information, required by the method, were obtained from freely available digital elevation models (SRTM ASTER) compare their...

The metrics traditionally used for assessing the sharpness level of optical imagery acquired by spaceborne sensors (e.g., relative edge response, point spread function, full width at half maximum line modulation transfer function) are usually measured before launch using a set standard simulated inputs. However, vibrations occurring during and satellite deployment, as well sensor degradation through time, may alter nominal characteristics significantly. Therefore, post-launch assessment...

Since early 2022, Italy has been experiencing a multi-year drought going well beyond mere precipitation deficit to include snow deficit, negative soil moisture anomalies, significant streamflow lows, and considerable impacts on various sectors. In the wake of this event, CIMA Research Foundation is working with Italian Civil Protection Department establish real-time, multi-variable operational water scarcity data platform for real-world applications. These analyses provide monthly snapshots...