A5018159675- Cryospheric studies and observations
- Climate change and permafrost
- Landslides and related hazards
- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Arctic and Antarctic ice dynamics
- Remote Sensing in Agriculture
- Hydrological Forecasting Using AI
- Urban Heat Island Mitigation
- Species Distribution and Climate Change
- Climate variability and models
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Meteorological Phenomena and Simulations
- Oceanographic and Atmospheric Processes
- Advanced Image Fusion Techniques
- Advanced Computational Techniques and Applications
- Satellite Image Processing and Photogrammetry
- Plant Water Relations and Carbon Dynamics
- Calibration and Measurement Techniques
- Ombudsman and Human Rights
- Underwater Acoustics Research
- Winter Sports Injuries and Performance
- Criminal Law and Evidence
- Remote Sensing and LiDAR Applications
Eurac Research
2014-2024
University of Trento
2019
Università Cattolica del Sacro Cuore
2005
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...
Abstract Snow cover impacts alpine land surface phenology in various ways, but our knowledge about the effect of snow on is still limited. We studied this relationship European Alps using satellite‐derived metrics (SCP), namely, first fall, last day, and duration (SCD), combination with (LSP), start season (SOS), end season, length (LOS) for period 2003–2014. tested dependency interannual differences (Δ) SCP LSP altitude (up to 3000 m above sea level) seven natural vegetation types, four...
Alpine ecosystems are particularly sensitive to climate change, and therefore it is of significant interest understand the relationships between phenology its seasonal drivers in mountain areas. However, no alpine-wide assessment on relationship land surface (LSP) patterns climatic including snow exists. Here, an influence cover variations vegetation presented, which based a 17-year time-series MODIS data. From this data duration (SCD) metrics Normalized Difference Vegetation Index (NDVI)...
In this contribution we analyze the performance of a monthly river discharge forecasting model with Support Vector Regression (SVR) technique in European alpine area. We considered as predictors discharges antecedent months, snow-covered area (SCA), and meteorological climatic variables for 14 catchments South Tyrol (Northern Italy), well long-term average month prediction, also regarded benchmark. Forecasts at six-month lead time tend to perform no better than benchmark, an 33% relative...
This paper presents a novel data fusion technique for improving the snow cover monitoring mesoscale Alpine region, in particular those areas where two information sources disagree. The presented methodological innovation consists integration of remote-sensing products and numerical simulation results by means machine learning classifier (support vector machine), capable to extract from their quality measures. differs existing approaches remote sensing is only used model tuning or...
This study aims at estimating the dry snow water equivalent (SWE) by using X-band SAR data from COSMO-SkyMed (CSK) satellite constellation. Time series of CSK acquisitions have been collected during period in Alto Adige test site, Italian Alps, winter seasons 2013 to 2015 and 2019 2021. The analyzed compared with in-situ measurements understand sensitivity SWE, which has further assessed Dense Media Radiative Transfer (DMRT) model simulations. analysis provided basis for addressing SWE...
Abstract Timing and accumulation of snow are among the most important phenomena influencing land surface phenology in mountainous ecosystems. However, our knowledge on their influence alpine is still limited, much remains unclear as to which metrics relevant for studying this interaction. In study, we analyzed five metrics, namely, timing (snow cover duration (SCD) last day), (mean water equivalent, SWE m ), mountain (start season length season) Swiss Alps during period 2003–2014. We...
The collaborative research project "ALGORITHMS" (20192021) between the Italian Space Agency (ASI) and Institute of Applied Physics National Research Council Italy (IFAC–CNR) aims to develop innovative algorithms estimate main hydrological parameters (e.g. soil moisture content, vegetation properties, snow water equivalent). proposed combine Synthetic Aperture Radar (SAR), multispectral hyperspectral satellite data with in-situ measurements. First results are presented based on retrieval...
This paper presents a new concept to derive the snow water equivalent (SWE) based on joint use of model (AMUNDSEN) simulation, ground data, and auxiliary products derived from remote sensing. The main objective is characterize spatial-temporal distribution model-derived SWE deviation with respect real values measurements. due intrinsic uncertainty any theoretical model, related approximations in analytical formulation. method, k-NN algorithm, computes for some labeled samples, i.e., samples...
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 countries: Austria, France, Germany, Italy, Slovenia, and Switzerland; including altogether more than 2000 stations. Using principal component k-means clustering, identified five main modes variability regions, match climatic forcing zones: north...
The main objective of this work is to estimate Snow Water Equivalent (SWE) by jointly exploiting the information derived from X-band Synthetic Aperture Radar (SAR) imagery acquired Italian Space Agency COSMO-SkyMed satellite constellation in StripMap HIMAGE mode and manual SWE ground measurements. idea verify sensitivity backscattering coefficient at and, means a Support Vector Regression (SVR) algorithm, for South Tyrol region, north-eastern Italy. regressor trained about 1,000 simulated...
Understanding the relationships between vegetation phenology and its seasonal drivers under varying site conditions is of high interest in mountain areas, since alpine ecosystems are assumed to be particularly sensitive climatic changes. Through joint analysis NDVI, snow metrics, climate data at 250 m 2 km spatial resolution, respectively, we aim identifying their temporal variability statistical inter- intra-annual on an alpine-wide scale. Apart from clear patterns metrics related...
Abstract. Remote sensing is the only feasible data source for distributed modelling of snow in mountain regions on medium to large scales, due limited access these areas together with lack dense ground monitoring stations variables. Observations worldwide identify cover persistence snowfall occurrence as most affected variables by global warming. In Mediterranean regions, spatiotemporal evolution can experiment quick changes that result different accumulation-ablation cycles during cold...
In this work, we present two datasets for specific areas located in South Tyrol (Italy) and (Austria) that can be exploited to monitor understand water resource dynamics mountain regions. The idea is provide the reader with information about different sources of supply over five defined test areas. Snow Cover Fraction (SCF) Soil Moisture Content (SMC) are derived from machine learning algorithms based on remote sensing data. Both SCF SMC products characterized by a spatial resolution 20 m...
In this work, we present two datasets for specific areas located on the Alpine arc that can be exploited to monitor and understand water resource dynamics in mountain regions. The idea is provide reader with information about different sources of supply over five defined test South Tyrol (Italy) (Austria) alpine environments. snow cover fraction (SCF) Soil Moisture Content (SMC) are derived from machine learning algorithms based remote sensing data. Both SCF SMC products characterized by a...
The characterization of snow conditions and the estimation water equivalent (SWE) are main goals this paper, achieved through exploitation multi-frequency SAR data at both C- X-bands from Sentinel-1 (S-1) COSMO-SkyMed (CSK) satellites, respectively. Dry/wet have first been assessed using C-band S-1 images. Subsequently, a sensitivity analysis was carried out by datasets in-situ measurements (i.e. depth, density, grain radius, temperature wetness) collected in South Tyrol region,...
On mountain areas, one main important pre-processing step for optical satellite imagery is the topographic correction. The illumination condition strongly depends on area topography, sun elevation and azimuth acquisition geometry of sensor. These elements generate unequal light distribution over observed surface. This effect needs to be corrected improve classification parameters retrieval performances. In this paper, a novel empirical approach correction presented using combined (direct...
The main objective of the project SCIA (Sviluppo di algoritmi per lo studio della Criosfera mediante Immagini PrismA) is development and optimization methods for generating products related to cryosphere. foresees a robust processing chain PRISMA hyperspectral data estimation snow glacier parameters in Alpine areas, through combined use satellite images, field radiative transfer models (RTMs). image spectroscopy measurements provided by will make possible investigate radiometrically complex...
This work aims to consider the use of different SAR operating at X-, C- and L-band in order improve monitoring snow covered areas soil Alpine areas. A preliminary dataset is acquired analysed exploit potentialities permafrost monitoring. The intensity phase signal frequencies shows sensitivity for estimating Snow Water Equivalent characteristics.
The potential of satellite Synthetic Aperture Radar (SAR) sensors for Snow Water Equivalent (SWE) retrieval in Alpine areas is assessed this study. X-band HHpolarized SAR backscatter from 2012-2015 images acquired by the COSMO-SkyMed constellation over South Tyrol province northern Italy compared with SWE in-situ measurements and nivo-meteorological station records. resulting relationship simulations based on Dense Media Radiative Transfer - Quasi Mie Scattering (DMRT QMS) model. Artificial...