- Conservation Techniques and Studies
- Sparse and Compressive Sensing Techniques
- 3D Surveying and Cultural Heritage
- Cultural Heritage Materials Analysis
- Fermentation and Sensory Analysis
- Remote Sensing in Agriculture
- Photoacoustic and Ultrasonic Imaging
- Building materials and conservation
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Oil Spill Detection and Mitigation
- Landslides and related hazards
- Plant Water Relations and Carbon Dynamics
- Microplastics and Plastic Pollution
- Marine and coastal ecosystems
- Flood Risk Assessment and Management
- Advanced Optical Sensing Technologies
- Adaptive optics and wavefront sensing
- CCD and CMOS Imaging Sensors
- Tea Polyphenols and Effects
- Blind Source Separation Techniques
- Phytochemicals and Antioxidant Activities
- Archaeological Research and Protection
- Advanced Chemical Sensor Technologies
- Horticultural and Viticultural Research
Nello Carrara Institute of Applied Physics
2014-2024
National Research Council
2009-2024
National Academies of Sciences, Engineering, and Medicine
2008-2013
University of Florence
2004
Sustained observations are required to determine the marine plastic debris mass balance and support effective policy for planning remedial action. However, currently remain scarce at global scale. A satellite remote sensing system could make a substantial contribution tackling this problem. Here, we initial steps towards potential design of such by: (1) identifying properties amenable methods (2) highlighting oceanic processes relevant scientific questions about debris. Remote approaches...
Abstract. The CEFLES2 campaign during the Carbo Europe Regional Experiment Strategy was designed to provide simultaneous airborne measurements of solar induced fluorescence and CO2 fluxes. It combined with extensive ground-based quantification leaf- canopy-level processes in support ESA's Candidate Earth Explorer Mission "Fluorescence Explorer" (FLEX). aim this test if signal detected from an platform can be used improve estimates plant mediated exchange on mesoscale. Canopy quantified four...
Classification of landslide type is an essential step in risk management, although often missing large inventories.Here we propose a novel data-driven method that uses easily accessible morphometric and geospatial input parameters to classify landslides at national scale Italy by means shallow Artificial Neural Network.We achieved overall True Positive Rate 0.76 for five-class classification over 275,000 as (1) rockfall/toppling, (2) translational/rotational slide, (3) earth flow, (4) debris...
This study investigated the impact of changes in craft beer formulation, by modifying unmalted cereal [(durum (Da) and soft (Ri) wheat), emmer (Em)], hops [Cascade (Ca) Columbus (Co)], yeast strains [M21 (Wi) - M02 (Ci)], on volatolomic, acidic, olfactory profiles. Olfactory attributes were evaluated trained panel. Volatolomic acidic profiles determined GC–MS. The sensory analysis detected significant differences for 5 attributes, including intensity finesse, malty, herbaceous, floral notes....
This study investigated the influence of three Saccharomyces cerevisiae strains, selected from different matrices - CHE-3 (cherry), P4 (sourdough) and TA4-10 (grape must) on characteristics Italian Grape Ale (IGA) beers obtained at microbrewery scale. A multidisciplinary approach, combining results analysis chemical, volatile organoleptic profiles beers, was adopted to underline relationships between yeast starter quality final products. Detection organic compounds (VOCs) by...
In this investigation, we explored the oenological significance of
This research explored the impact of binary cereal blends [barley with durum wheat (DW) and soft (CW)], four autochthonous yeast strains (9502, 9518, 14,061 17,290) two refermentation sugar concentrations (6–9 g/L), on volatolomics (VOCs) odour profiles craft beers using unsupervised statistics. For first time, we applied permutation test to select volatiles higher significance in explaining variance among samples. The approach 19 selected VOCs revealed cereal-yeast interaction be main...
In this work we present a LIDAR sensor devised for the acquisition of time resolved laser induced fluorescence spectra. The gating spectra can be sequentially delayed in order to achieve data that are both spectral and temporal domains. provide sub-nanometric resolution nanosecond resolution. has also imaging capabilities by means computer-controlled motorized steering mirror featuring biaxial angular scanning with 200 μradiant measurement repeated each point geometric grid collect...
Abstract. The CEFLES2 campaign during the Carbo Europe Regional Experiment Strategy was designed to provide simultaneous airborne measurements of solar induced fluorescence and CO2 fluxes. It combined with extensive ground-based quantification leaf- canopy-level processes in support ESA's Candidate Earth Explorer Mission "Fluorescence Explorer" (FLEX). aim this test if signal detected from an platform can be used improve estimates plant mediated exchange on mesoscale. Canopy quantified four...
Fluorescence lidar techniques offer considerable potential for remote, non-invasive diagnostics of stone cultural heritage in the outdoor environment.Here we present results a joint Italian-Swedish experiment, deploying two hyperspectral fluorescence imaging systems, documentation past conservation interventions on Colosseum, Rome.Several portions monument were scanned and show that it was possible to discriminate among masonry materials, reinforcement structures protective coatings inserted...
Marine plastic litter has become a global challenge, affecting all regions of the planet, with massive input to marine environment every year. Novel remote sensing methods can greatly contribute face this complex issue their ability provide large-scale data. Here we present experimental tests exploring potential hyperspectral fluorescence LIDAR technique for detection and characterization plastics when plunged into layer natural water. The experiments were carried out in laboratory by using...
Abstract BACKGROUND Barley flour, known to be rich in various phytochemicals, has been demonstrated improve the technological and nutritional properties of pasta; however, its volatile profile, on which aromatic depend, also plays an important role acceptance barley‐enriched pasta. In present work, organic compounds (VOCs) semolina doughs enriched with different percentages barley related pasta were characterized by solid phase micro‐extraction (HS‐SPME) coupled gas‐chromatography/mass...
In this paper we present hyperspectral and time resolved laser induced fluorescence spectra of oil slicks remotely sensed by means a new LIDAR prototype. The sensor provides both sub-nanometric spectral resolution sub-nanosecond resolution. induction is achieved frequency-tripled pulsed Nd:YAG @355 nm. light collect 250-mm diameter telescope the are measured spectrometer 512-spectral channels gateable intensified CCD camera. temporal sequentially delaying gating to obtain data, which in...
Fluorescence LIDAR imaging has been already proposed in several studies as a valuable technique for the remote diagnostics and documentation of monumental surfaces, with main applications referring to detection classification biodeteriogens, characterization lithotypes, protective coatings also some types pigments. However, conservation cultural heritage is an application field where highly multi-disciplinary, integrated approach typically required. In this respect, fluorescence can be...
The use of Artificial Neural Network (ANN) approaches has gained a significant role over the last decade in field predicting distribution effects triggered by natural forcing, this being particularly relevant for development adequate risk mitigation strategies. Among most critical features these approaches, there are accurate geolocation available data as well their numerosity and spatial distribution. an ANN never been tested at national scale Italy, especially estimating...