- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil Moisture and Remote Sensing
- Remote-Sensing Image Classification
- Precipitation Measurement and Analysis
- Remote Sensing and Land Use
- Meteorological Phenomena and Simulations
- earthquake and tectonic studies
- Remote Sensing in Agriculture
- Atmospheric aerosols and clouds
- Advanced SAR Imaging Techniques
- Cryospheric studies and observations
- Earthquake Detection and Analysis
- Remote Sensing and LiDAR Applications
- Advanced Image Fusion Techniques
- Landslides and related hazards
- Soil Geostatistics and Mapping
- Air Quality Monitoring and Forecasting
- Geophysical Methods and Applications
- Underwater Acoustics Research
- Atmospheric and Environmental Gas Dynamics
- Seismology and Earthquake Studies
- Ocean Waves and Remote Sensing
- Image and Signal Denoising Methods
- Atmospheric Ozone and Climate
- Microwave Engineering and Waveguides
University of Rome Tor Vergata
2016-2025
Ospedale regionale di Lugano
2024
Istituto Nazionale di Geofisica e Vulcanologia
2022
Polarimetric radar data collected by AIRSAR and SIR-C over agricultural fields, forests, olive groves of the Italian Montespertoli site are analyzed. The objective is to investigate capability in discriminating among various vegetation species its sensitivity arboreous biomass. Results indicate that a combined use P(0.45 GHz) L- (1.2 bands allows one discriminate between fields other targets, while C- (5.3 authors within areas. To monitor biomass, P-band gives best results for forests...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The effectiveness of multilayer perceptron (MLP) networks as a tool for the classification remotely sensed images has been already proven in past years. However, most studies consider characterized by high spatial resolution (around 15–30 m) while detailed analysis performance this type classifier on very 1–2 such those provided Quickbird satellite is still lacking. Moreover, problem normally...
A comparative evaluation of the potential active and passive microwave sensors in estimating vegetation biomass soil moisture content is carried out. For this purpose, experimental data collected on an agricultural area by airborne scatterometers radiometers during AGRISCATT AGRIRAD 1988 campaigns have been used. The results show that both backscattering emission are sensitive to over a wide frequency range. Multifrequency observations seem offer good probabilities for separating leaf from...
Abstract The potential of synthetic aperture radar (SAR) in monitoring soil and vegetation parameters is being evaluated extensive investigations, worldwide. A significant experiment on this subject, the Multi-sensor Airborne Campaign (MAC 91), was carried out summer 1991 several sites Europe, based NASA/JPL polarimetric (AIR-SAR). site Montespertoli (Italy) imaged three times during campaign at P-, L-, C-band different incidence angles between 20° 50°. Calibrated full data collected over...
The capability of multifrequency polarimetric synthetic aperture radar (SAR) to discriminate among nine vegetation classes is shown using both experimental data and model simulations. were collected by the AIRSAR at Dutch Flevoland site Italian Montespertoli site. Simulations are carried out an electromagnetic model, developed Tor Vergata University, Rome, Italy, which computes microwave scattering. have been defined on basis geometrical differences species, leading different signatures. It...
This paper reports on an investigation aimed at evaluating the performance of a neural-network based crop classification technique, which makes use backscattering coefficients measured in different C-band synthetic aperture radar (SAR) configurations (multipolarization/multitemporal). To this end, AirSAR and European Remote Sensing Satellite (ERS) data collected Flevoland site, extracted from RAdar-Optical Research Assemblage (ERA-ORA) library, have been used. The results obtained...
Recent X-band SAR missions, such as COSMO-SkyMed (CSK), which is able to provide very high spatial resolution images of an area interest with a short revisit time, are expected be quite useful sources information for monitoring the terrestrial environment and its changes. On other hand, huge amount data involved, well need promptly act in case emergency, requires development automatic change detection tools. This paper reports on novel algorithm combining multilayer perceptron neural...
In this Part 1 paper concerning a new Cloud Dynamics and Radiation Database (CDRD) algorithm, improvements in obtaining satellite retrievals of rainfall from multispectral passive microwave (PMW) radiometer measurements are obtained by transforming conventional (CRD) algorithm. The arise combining parameter constraints derived model-based dynamical-thermodynamical-hydrological (DTH) meteorological profile variables additional geographical-seasonal (GS) factors, together with PMW brightness...
The combined use of unmanned aerial vehicles (UAV) and radiofrequency identification (RFID) devices is an emerging topic the environmental monitoring, which combines versatility multi-copter airframes with potentiality low-cost wireless sensors. This paper introduces some performance metrics suitable to quantify capability RFIDrone scan a surface equipped radio-sensors. By using simple propagation models, optimal drone-surface distance mathematically derived at purpose maximize...
An inversion technique is presented for retrieving vertical profiles of atmospheric temperature and vapor from the brightness temperatures measured by a ground‐based multichannel microwave radiometer surface measurements relative humidity. It combines profile expansion over complete set natural orthogonal functions with neural network which performs estimate coefficients itself. A simulation study has been carried out, algorithm tested comparing its retrievals those obtained means linear...
Multi-frequency and multi-temporal polarimetric SAR measurements, carried out during SIR-C/X-SAR missions over the Montespertoli area have been analysed compared with data collected at same frequency polarization, but different dates, NASA/JPL AIRSAR. This paper presents an analysis of achieved results aiming evaluating contribution for estimating some geophysical parameters which play a significant role in hydrological processes particular soil moisture roughness. The study has pointed that...
ABSTRACT An analysis of the archaeological site Pelusium on northeastern edge Nile Delta, Egypt, was carried out using phased array type L‐band synthetic aperture radar (PALSAR) data. The aim to assess potential PALSAR identify buried structures. 18 images acquired in various polarimetric modes were obtained for through a European Space Agency Category‐1 project. Processing included co‐registration and summation each mode order reduce speckle. summed then compared with other optical imagery...
The general consensus on future climate projections poses new and increased concerns about change its impacts. Droughts are primarily worrying, since they contribute to altering the composition, distribution, abundance of species. Grasslands, for example, primary source grazing mammals modifications in determine variation available yields cattle. To support agriculture sector, international organizations such as Food Agriculture Organization (FAO) United Nations promoting development...
Studies of oil slicks in the ocean environment with synthetic aperture radar (SAR) have found that one most complex challenges to spill detection is separation mineral spills from are biogenic origin. The possible occurrence multiple scattering mechanisms beyond Bragg for sea surface, or without slicks, and even under low moderate wind conditions, has also been a subject debate because measured signals these radar-dark surfaces can be contaminated easily by noise. Therefore, use...
A new neural network algorithm for the inversion of radiometric data to retrieve atmospheric profiles temperature and vapor has been developed. The potentiality networks exploited not only purposes but also feature extraction dimensionality reduction. In its complete form, uses a architecture consisting three stages: 1) input stage reduces dimension vector; 2) middle performs mapping from reduced vector output 3) third brings desired actual dimension. effectiveness evaluated comparing...
Abstract A new insight into the numerical properties of mode‐matching (MM) technique is given at example capacitive and inductive diaphragms in rectangular waveguide. The presence two sources error pointed out existence demonstrated an optimum modal ratio which produces best compensation between errors. MM formulated a generalized form as integral equation for either electric field on aperture or current diaphragm. This allows edge condition to be incorporated basis functions order improve...
Using state-of-the-art InSAR techniques, namely persistent scatterers (PSs) and small baseline subset (SBAS) approaches, this study contributes to open geotechnical questions in the area of Thessaloniki (Greece) from a remote-sensing perspective. It also demonstrates potential these techniques for calibration purposes, with reference new C-band synthetic aperture radar (SAR) sensor on board Sentinel-1 mission satellites. By exploiting historical archive Envisat/ASAR data, as well pair first...
After recalling the definitions of some basic quantities measured by active and passive microwave sensors, interrelations between emission scattering are discussed. The particular case a half-space isotropic scatterers, for which simple relation emissivity backscatter coefficient holds, is considered as refer ence to examine response systems real ag ricultural fields. Both theoretical experimental results at X band reported. Theoretical obtained modeling vege tation an ensemble small...