- Synthetic Aperture Radar (SAR) Applications and Techniques
- Landslides and related hazards
- Cryospheric studies and observations
- Soil Moisture and Remote Sensing
- Advanced SAR Imaging Techniques
- Geophysical Methods and Applications
- Geophysics and Gravity Measurements
- Arctic and Antarctic ice dynamics
- earthquake and tectonic studies
- Flood Risk Assessment and Management
- Rock Mechanics and Modeling
- Ocean Waves and Remote Sensing
- Optical measurement and interference techniques
- Climate change and permafrost
- Earthquake Detection and Analysis
- Remote Sensing and LiDAR Applications
- Precipitation Measurement and Analysis
- Hydrology and Watershed Management Studies
- Geological and Geophysical Studies
- Structural Health Monitoring Techniques
- Geotechnical and Mining Engineering
- Geology and Environmental Impact Studies
- Remote-Sensing Image Classification
- Seismology and Earthquake Studies
- Leaf Properties and Growth Measurement
National Research Council
2013-2024
Istituto per il Rilevamento Elettromagnetico dell'Ambiente
2018-2024
National Research Council
2024
Institute of Intelligent Systems for Automation
2009-2018
Heinz Optical Engineering (United States)
2016
National Academies of Sciences, Engineering, and Medicine
2006-2015
Research Institute for Geo-Hydrological Protection
2014
University of Bari Aldo Moro
2003-2010
Polytechnic University of Bari
2006-2007
Instituto Politécnico Nacional
2006-2007
We apply high-resolution, X-band, stripmap COSMO-SkyMed data to the monitoring of flood events in Basilicata region (Southern Italy), where multitemporal datasets are available with short spatial and temporal baselines, allowing interferometric (InSAR) processing. show how use coherence information can help detect more precisely areas affected by flood, reducing false alarms missed identifications which affect algorithms based on SAR intensity alone. The effectiveness using additional InSAR...
High-resolution flood monitoring can be achieved relying on multi-temporal analysis of remote sensing SAR data, through the implementation semi-automated systems. Exploiting a Bayesian inference framework, conditioned probabilities estimated for presence floodwater at each image location and acquisition date. We developed procedure efficient floodwaters from data cubes, which adopts statistical modelling framework backscatter time series over normally unflooded areas based Gaussian processes...
Image alignment is a crucial step in synthetic aperture radar (SAR) interferometry. Interferogram formation requires images to be coregistered with an accuracy of better than few tenths resolution cell avoid significant loss phase coherence. In conventional interferometric precise coregistration methods for full-resolution SAR data, 2-D polynomial low degree usually chosen as warp function, and the parameters are estimated through least squares fit from shifts measured on image windows. case...
This work presents an analysis of the applicability synthetic aperture radar (SAR) interferometry to landslide monitoring. was carried out by using different interferometric approaches, spaceborne SAR data (both in C-band and X-band), situ global navigation satellite system (GNSS) measurements. In particular, we investigated both reliability displacement monitoring issues cross-comparison validation (InSAR) results. The focused on slow-moving that affects a relevant part urban area...
Slow mass movements are widespread players of slope dynamics, with different mechanisms depending on involved materials and geomorphic settings. Alpine para/periglacial environments extensively affected by slow rock-slope deformations, deep-seated rock debris slides, active periglacial features, while fluvial-dominated mountain ranges typically rapid rockslides long-lived earthflows. These processes exhibit deformation patterns rates, threatening lives infrastructures in ways. Mapping...
Differential SAR interferometry (DInSAR) and Multi-Temporal DInSAR (MTInSAR) are largely exploited for measuring slope stabilities. However, both suffer from the typical critical environmental setting of areas affected by instability. First, steep topography may lead to unfavourable illuminating conditions in terms either unfeasible detection over layover shadow or low sensitivity ground displacement. Second, presence dense vegetation changeable cover causes signal decorrelation a density...
Research Article| October 24, 2018 Insights into Seismogenic Deformation during the Hualien, Taiwan, Earthquake Sequence from InSAR, GPS, and Modeling Jiun‐Yee Yen; Yen aDepartment of Natural Resource Environmental Studies, National Dong Hwa University, No. 1, Section 2, Da Hsueh Road, Shoufeng, Hualien 97401, jyyen@gms.ndhu.edu.tw Search for other works by this author on: GSW Google Scholar Chih‐Heng Lu; Lu bInstitute Applied Geology, Central 300, Zhongda Zhongli District, Taoyuan City...
COSMO/SKYMED is currently the unique constellation of synthetic aperture radar (SAR) sensors operative, which also for civilian use. On April 6, 2009, an Mw 6.3 earthquake struck city l'Aquila in Central Italy. The acquired data stacks over hit area at unprecedented temporal rate. In this letter, results obtained by processing several set via two independent multitemporal differential interferometric SAR techniques are presented to demonstrate capability postseismic deformations monitoring.
This study explores the potential of Synthetic Aperture Radar (SAR) to aid Unmanned Aerial Vehicle (UAV) navigation when Inertial Navigation System (INS) measurements are not accurate enough eliminate drifts from a planned trajectory. problem can affect medium-altitude long-endurance (MALE) UAV class, which permits heavy and wide payloads (as required by SAR) flights for thousands kilometres accumulating large drifts. The basic idea is infer position attitude an aerial platform inspecting...
Multi-temporal InSAR (MTI) applications pose challenges related to the availability of coherent scattering from ground surface, complexity deformations, atmospheric artifacts, and visibility problems elevation. Nowadays, several satellite missions are available providing interferometric SAR data at different wavelengths, spatial resolutions, revisit time. A new interesting opportunity is provided by Sentinel-1, which has a resolution comparable that previous ESA C-band sensors, times...
This work investigates the possibility of performing target analysis through Multi-Chromatic Analysis (MCA), a technique that basically explores information content sub-band images obtained by processing portions range spectrum synthetic aperture radar (SAR) image. According to behavior SAR signal at different sub-bands, MCA allows classification. Two strategies have been experimented TerraSAR-X acquired over Venice Lagoon, Italy: one exploiting phase interferometric pairs, other using...
We present an example of integration persistent scatterer interferometry (PSI) and in situ measurements over a landslide the Bovino hilltop town, Southern Italy. First, wide-area analysis PSI data, derived from legacy ERS ENVISAT SAR image time series, highlighted presence ongoing surface displacements known limits Pianello landslide, located at outskirts municipality, periods 1995–1999 2003–2008, respectively. This prompted local authorities to install borehole inclinometers on suitable...
This paper proposes a unified framework for predicting optimized pairing strategies interferometric processing of multipass synthetic aperture radar data. The approach consists in minimum spanning tree (MST) structure based on distance function encoding an priori model the quality each image pair. Using modeled after coherence allows reproducing many "small baseline" presented recent literature. A novel application method to steps coregistration and equalization is illustrated, using test...
The multichromatic analysis (MCA) uses interferometric pairs of SAR images processed at range subbands and explores the phase trend each pixel as a function different central carrier frequencies to infer absolute optical path difference. This approach allows retrieving unambiguous height information on selected pixels, potentially solving problem spatial unwrapping, which is instead critical in standard monochromatic processing. method, based concepts originally introduced by Madsen Zebker,...