A5014002590- Cryospheric studies and observations
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Landslides and related hazards
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Precipitation Measurement and Analysis
- Hydrology and Watershed Management Studies
- Astro and Planetary Science
- Remote Sensing in Agriculture
- Arctic and Antarctic ice dynamics
- Soil Geostatistics and Mapping
- Urban Heat Island Mitigation
- Geology and Paleoclimatology Research
- Soil and Unsaturated Flow
- Climate variability and models
- Meteorological Phenomena and Simulations
- Remote Sensing and LiDAR Applications
- Planetary Science and Exploration
- Plant Water Relations and Carbon Dynamics
- Marine and environmental studies
- Geophysics and Gravity Measurements
- Geophysical Methods and Applications
- Remote Sensing and Land Use
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
Eurac Research
2016-2025
ORCID
2020
Southwest Watershed Research Center
2017
BOKU University
2014
University of Bari Aldo Moro
2000-2011
Polytechnic University of Bari
2001-2008
Consorzio Interuniversitario Fisica Spaziale
2008
Instituto Politécnico Nacional
2006-2007
Space (Italy)
2006
Istituto Nazionale di Fisica Nucleare, Sezione di Bari
2002-2004
The enormous increase of remote sensing data from airborne and space-borne platforms, as well ground measurements has directed the attention scientists towards new efficient retrieval methodologies. Of particular importance is consideration large extent high dimensionality (spectral, temporal spatial) data. Moreover, launch Sentinel satellite family will availability data, especially in domain, at no cost to users. To analyze these extract relevant features, such essential climate variables...
Abstract Quantifying rates of climate change in mountain regions is considerable interest, not least because mountains are viewed as “hotspots” where can anticipate or amplify what occurring elsewhere. Accelerating has extensive environmental impacts, including depletion snow/ice reserves, critical for the world's water supply. Whilst concept elevation‐dependent warming (EDW), whereby stratified by elevation, widely accepted, no consistent EDW profile at global scale been identified. Past...
Quantification of snow cover changes and related phenology in global mountain areas has not been consistently addressed, despite the well-known importance this environment. By using MODIS products from 2000 to 2018, study reveals that around 78% are undergoing a decline characterized by duration decrease up 43 days, area 13%. Few show positive with increase 32 11%, mainly during wintertime Northern Hemisphere. Significant 58% both delayed onset, earlier melt; moreover, rate snowmelt is...
Abstract. The European Alps stretch over a range of climate zones which affect the spatial distribution snow. Previous analyses station observations snow were confined to regional analyses. Here, we present an Alpine-wide analysis depth from six Alpine countries – Austria, France, Germany, Italy, Slovenia, and Switzerland including altogether more than 2000 stations 800 used for trend assessment. Using principal component k-means clustering, identified five main modes variability regions...
The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission has been validating its soil moisture (SM) products since the start of data production on March 31, 2015. Prior to launch, defined a set criteria for core validation sites (CVS) that enable testing key SM accuracy requirement (unbiased root-mean-square error <0.04 m<sup>3</sup>/m<sup>3</sup>). approach also includes other (“sparse network”) <i>in situ</i> measurements,...
This paper investigates the relationship between C-band backscatter measurements and wheat biomass underlying soil moisture content. It aims to define strategies for retrieval algorithms with a view using satellite synthetic aperture radar (SAR) data monitor growth. The study is based on ground-based scatterometer experiment conducted field at Matera site in Italy during 2001 growing season. From March June 2001, eight acquisitions horizontal-horizontal vertical-vertical polarization,...
Abstract We construct the depth profile—the bathymetry—of Titan's large sea Ligeia Mare from Cassini RADAR data collected during 23 May 2013 (T91) nadir‐looking altimetry flyby. find greatest to be about 160 m and a seabed slope that is gentler toward northern shore, consistent with previously imaged shoreline morphologies. Low radio signal attenuation through demonstrates liquid, for which we determine loss tangent of 3 ± 1·10 −5 , remarkably transparent, requiring nearly pure...
This article investigates and demonstrates the suitability of Sentinel-1 interferometric coherence for land cover vegetation mapping. In addition, this study analyzes performance feature along with polarization intensity products according to different classification strategies algorithms. Seven workflows were evaluated, covering pixel- object-based analyses, unsupervised supervised classification, machine-learning classifiers, various effects distinct input features in SAR...
This paper presents an approach for retrieval of soil moisture content (SMC) by coupling single polarization C-band synthetic aperture radar (SAR) and optical data at the plot scale in vegetated areas. The study was carried out five different sites with dominant vegetation cover located Kenya. In initial stage process, features are extracted from mode (VV polarization) SAR data. Subsequently, proper selection relevant is conducted on features. An advanced state-of-the-art machine learning...
A synergic integration of Synthetic Aperture Radar (SAR) and optical time series offers an unprecedented opportunity in vegetation phenology monitoring for mountain agriculture management. In this paper, we performed a correlation analysis radar signal to soil conditions by using Sentinel-1 C-band dual-polarized (VV VH) SAR images acquired the South Tyrol region (Italy) from October 2014 September 2016. Together with images, exploited corresponding Sentinel-2 ground measurements. Results...
Due to its relation the Earth’s climate and weather phenomena like drought, flooding, or landslides, knowledge of soil moisture content is valuable many scientific professional users. Remote-sensing offers unique possibility for continuous measurements this variable. Especially agriculture, there a strong demand high spatial resolution mapping. However, operationally available products exist with medium coarse only (≥1 km). This study introduces machine learning (ML)—based approach (50 m)...
Abstract. Knowing the timing and evolution of snow melting process is very important, since it allows prediction (i) snowmelt onset, (ii) gliding wet-snow avalanches, (iii) release contaminants, (iv) runoff onset. The can be monitored by jointly measuring snowpack parameters such as water equivalent (SWE) or amount free liquid content (LWC). However, continuous measurements SWE LWC are rare difficult to obtain. On other hand, active microwave sensors synthetic aperture radar (SAR) mounted on...
Abstract Notwithstanding the large availability of data and models, a consistent picture snow cover extent duration changes in global mountain areas is lacking for long-term trends. Here, model satellite images are combined by using Artificial Neural Networks to generate time series from 1982 2020 over areas. The analysis harmonized 38 years indicates an overall negative trend − 3.6% ± 2.7% yearly 15.1 days 11.6 duration. most affected season trends winter with average reduction 11.5% 6.9%,...
Neural network (NN) approaches and statistical methods, based on a Bayesian procedure, are applied compared in soil moisture (SM) retrieval from remotely sensed data. The principles the practical implementations of procedures NNs briefly discussed terms advantages disadvantages each. Experimental tests carried out by using same set training test data for each method. methodologies have been to two sets retrieve SM bare soils verify their accuracy. One contains scatterometer radiometer...
This letter presents an experimental analysis of the application ε-insensitive support vector regression (SVR) technique to soil moisture content estimation from remotely sensed data at field/basin scale. SVR has attractive properties, such as ease use, good intrinsic generalization capability, and robustness noise in training data, which make it a valid candidate alternative more traditional neural-network-based techniques usually adopted estimation. Its effectiveness this is assessed by...
Precise information about the size and spatial distribution of glaciers is needed for many research applications, example water resources evaluation, determination glacier specific changes in area volume, calculation past future contribution to sea-level change. However, mapping outlines challenging even under optimal conditions due time consuming manual corrections wrongly classified pixels. In last decades, advantages computer technologies have led development object-based-image analysis...
A new algorithm for snow cover monitoring at 250 m resolution based on Moderate Resolution Imaging Spectroradiometer (MODIS) images is presented. In contrast to the 500 MODIS products of NASA (MOD10 and MYD10), main goal was maintain as high possible allow a more accurate detection covered area (SCA). This especially important in mountainous regions characterized by extreme landscape heterogeneity, where maps could not provide desired amount spatial details. Therefore, exploits only bands...
Abstract. A widespread loss of glacier area and volume has been observed in the European Alps since 1980s. In addition to differences among various regions Alps, different responses climate change characterize neighboring glaciers within same region. this study we describe changes Ortles-Cevedale group, largest glacierized Italian Alps. We analyze spatial variability, drivers, main factors controlling current ice region, by comparing mean elevation derived from two digital terrain models...
Abstract ScaleX is a collaborative measurement campaign, collocated with long-term environmental observatory of the German Terrestrial Environmental Observatories (TERENO) network in mountainous terrain Bavarian Prealps, Germany. The aims both TERENO and include modeling land surface–atmosphere interactions energy, water, greenhouse gases. motivated by recognition that intensive observational research over years or decades must be based on well-proven, mostly automated systems, concentrated...
Remote sensing supports carbon estimation, allowing the upscaling of field measurements to large extents. Lidar is considered premier instrument estimate above ground biomass, but data are expensive and collected on-demand, with limited spatial temporal coverage. The previous JERS ALOS SAR satellites were extensively employed model forest literature suggesting signal saturation at low-moderate biomass values, an influence plot size on estimates accuracy. ALOS2 continuity mission since May...