A5057481404- Soil Moisture and Remote Sensing
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Ocean Waves and Remote Sensing
- Geophysics and Gravity Measurements
- Cryospheric studies and observations
- Soil Geostatistics and Mapping
- Climate change and permafrost
- Geophysical Methods and Applications
- Remote-Sensing Image Classification
- GNSS positioning and interference
- Remote Sensing and LiDAR Applications
- Remote Sensing and Land Use
- Atmospheric aerosols and clouds
- Oceanographic and Atmospheric Processes
- Soil and Unsaturated Flow
- Tropical and Extratropical Cyclones Research
- Arctic and Antarctic ice dynamics
- Remote Sensing in Agriculture
- Radio Wave Propagation Studies
- Hydrology and Watershed Management Studies
- Ionosphere and magnetosphere dynamics
- Electromagnetic Scattering and Analysis
Sapienza University of Rome
2015-2024
Jet Propulsion Laboratory
2013-2022
University of Southern California
2022
Sensors (United States)
2022
Massachusetts Institute of Technology
2022
The Ohio State University
2022
University of Rome Tor Vergata
2022
University Corporation for Atmospheric Research
2022
University of Michigan
2022
Mitsubishi Electric (Japan)
2019
Abstract. An algorithm developed to map flooded areas from synthetic aperture radar imagery is presented in this paper. It conceived be inserted the operational flood management system of Italian Civil Protection and can used an almost automatic mode or interactive mode, depending on user's needs. The approach based fuzzy logic that integrate theoretical knowledge about return inundated taken into account by means three electromagnetic scattering models, with simple hydraulic considerations...
Data from the CYGNSS mission, originally conceived to monitor tropical cyclones, are being investigated here for land applications as well. In this paper, a methodology soil moisture (SM) retrieval data is presented. The approach derives Level 3 gridded daily SM estimations, over latitudinal band covered by CYGNSS, at resolution of 36 km × km, using reflectivity land, coupled with ancillary vegetation and roughness information SMAP mission. results compared globally measurements SMAP, which...
This paper presents an automatic algorithm for mapping floods. Its main characteristic is that it can detect not only inundated bare soils, but also floodwater in urban areas. The synthetic aperture radar (SAR) observations of the flood hit city Houston (Texas) following landfall Hurricane Harvey 2017 are used to apply and validate algorithm. latter consists a two-step approach first uses SAR data identify buildings then takes advantage Interferometric coherence feature presence urbanized...
In case of a seismic event, fast and draft damage map the hit urban areas can be very useful, in particular when epicentre earthquake is located remote regions, or main communication systems are damaged. Our aim to analyse capability sensing techniques for detection explore combined use radar (SAR) optical satellite data. Two studies have been proposed: Izmit (1999; Turkey) Bam (2003; Iran). Both affected by strong earthquakes causing heavy extended settlements close epicentre. Different...
Soil moisture content (SMC) and above-ground biomass (AGB) are key parameters for the understanding of both hydrological carbon cycles. From an economical perspective, SMC AGB play a significant role in agricultural sector, one most relevant markets worldwide. This paper assesses sensitivity Global Navigation Satellite System (GNSS) reflected signals to soil vegetation from experimental point view. For that, three scientific flights were performed order acquire GNSS reflectometry (GNSS-R)...
The use of synthetic aperture radar (SAR) data is presently well established in operational services for flood management. Nevertheless, detecting inundated vegetation and urban areas still represents a critical issue, because the signatures these targets are often ambiguous. This paper analyzes role interferometric coherence complementing intensity SAR mapping floods agricultural environments. advantages joint first discussed theoretical way then verified on case study, namely, that hit...
Using satellite sensors to detect urban damage and other surface changes due earthquakes is gaining increasing interest. Optical images at different resolutions radar represent useful tools for this application, particularly when more frequent revisit times will be available with the implementation of new missions future possible constellations satellites. Very high resolution (VHR) (on order 1 m or less) may provide information scale a single building, whereas on tens meters give...
The use of Global Navigation Satellite Systems (GNSS) signals for remote sensing applications, generally referred to as GNSS-Reflectometry (GNSS-R), is gaining increasing interest among the scientific community a tool land applications. This paper describes long term experimental campaign in which an extensive dataset GNSS-R polarimetric measurements was acquired over crop field from ground-based stationary platform. Ground truth ancillary data were also continuously recorded during whole...
GEROS-ISS stands for GNSS REflectometry, radio occultation, and scatterometry onboard the International Space Station (ISS). It is a scientific experiment, successfully proposed to European Agency in 2011. The experiment as name indicates will be conducted on ISS. main focus of dedicated use signals from currently available Global Navigation Satellite Systems (GNSS) L-band remote sensing Earth with study climate change. Prime mission objectives are determination altimetric sea surface height...
The mean power of the reflected Global Navigation Satellite System (GNSS) signals acquired by a GNSS-Reflectometry (GNSS-R) receiver can be modeled through integral bistatic radar equation weighting contributions all scatterers on surface system impulse response. geophysical properties scattering affect magnitude navigation coefficient which, in case observed is land, function soil dielectric properties, roughness, and vegetation cover. In this paper, GNSS-R signal simulator developed...
HydroGNSS (Hydrology using Global Navigation Satellite System reflections) has been selected as the second European Space Agency (ESA) Scout earth observation mission to demonstrate capability of small satellites deliver science. This article summarizes case for developed during its system consolidation study. is a high-value dual satellite mission, which will prove new concepts and offer timely climate observations that supplement complement existing are high in ESAs scientific priorities....
The major outcomes of the analysis COSMO-SkyMed (CSK) synthetic aperture radar (SAR) observations area hit by 2011 Japan tsunami are presented. height waves was such as to cause a widespread inundation coastal area. SAR acquisitions have been performed on March 12 (i.e., one day after occurred) and 13, in interferometric mode, so that not only information intensity signals, but also complex coherence has used. interpretation available data allowed us detect flooded areas, well receding...
Synthetic Aperture Radar (SAR) systems represent a powerful tool to monitor floods because of their all-weather capability, the very high spatial resolution new generation instruments and short revisit time present future satellite constellations. To exploit these technological advances, an accurate interpretation multitemporal radar signature flooded areas is required. Mapping vegetation task in which SAR data not straightforward should rely on knowledge about scattering phenomena volume...
The use of synthetic aperture radar (SAR) data is presently well established in operational services for flood management. However, some events might be missed because the limited area that can observed through a SAR image and need programming acquisitions advance. To tackle these problems, it possible to setup system able trigger based on forecasts take advantage various satellite sensors are operating. On behalf Italian Civil Protection Department (DPC), prototype this kind has been...
The Sentinel-1 mission will offer the opportunity to obtain C-band radar data characterized by short revisit time, thus allowing for generation of frequent soil moisture maps. This work presents a prototype software implementing multitemporal approach problem retrieval using Synthetic Aperture Radar (SAR) data. exploits time assuming availability series SAR images that is integrated within algorithm based on Bayesian maximum posteriori probability statistical criterion. paper focuses...
An automatic method to distinguish water surfaces (either flooded or permanent bodies) from artifacts caused by heavy precipitation and wet snow is designed improve flood detection accuracy in X-band synthetic aperture radar (SAR) images. The algorithm implementing the proposed method, mainly based on image segmentation techniques fuzzy logic, consists of two principal steps: 1) regions (or segments) low-radar backscatter that appear dark a SAR image, 2) classification each detected segment....
The global navigation satellite system (GNSS) Transpolar Earth Reflectometry exploriNg (G-TERN) was proposed in response to ESA's Explorer 9 revised call by a team of 33 multi-disciplinary scientists. primary objective the mission is quantify at high spatio-temporal resolution crucial characteristics, processes and interactions between sea ice, other components order advance understanding prediction climate change its impacts on environment society. articulated through three key questions....
In this study, the capability of Global Navigation Satellite System Reflectometry in evaluating forest biomass from space has been investigated by using data coming TechDemoSat-1 (TDS-1) mission Surrey Technology Ltd. and Cyclone (CyGNSS) NASA. The analysis first conducted TDS-1 on a local scale, selecting five test areas located different parts Earth's surface. were chosen as examples various coverages, including equatorial boreal forests. Then, extended CyGNSS to global any type coverage....
The objective of this paper is to evaluate the potential a Bayesian inversion algorithm using microwave multisensor data for retrieval surface rainfall rate and cloud parameters. scheme based on maximum posteriori probability (MAP) method, extended use both spaceborne passive active data. MAP technique precipitation profiling also proposed approach problem radar-swath synthetic broadening; that is, capability exploit combined information where only radiometric are available. In order show an...