A5051417829- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Climate change and permafrost
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Precipitation Measurement and Analysis
- Landslides and related hazards
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Arctic and Antarctic ice dynamics
- Remote Sensing and LiDAR Applications
- Geophysical Methods and Applications
- Soil and Unsaturated Flow
- Hydrology and Watershed Management Studies
- Geology and Paleoclimatology Research
- Remote-Sensing Image Classification
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Remote Sensing and Land Use
- Hydrology and Drought Analysis
- Winter Sports Injuries and Performance
- Water management and technologies
- Smart Agriculture and AI
- Forest ecology and management
- Tree Root and Stability Studies
- Polar Research and Ecology
National Research Council
2015-2024
Nello Carrara Institute of Applied Physics
2015-2024
National Academies of Sciences, Engineering, and Medicine
2008-2020
Higher Institute for Artistic Industries Firenze
2014
Istituto Nazionale per la Fisica della Materia
2011
In this paper, we present an intercomparison of algorithms for retrieving soil moisture content (SMC) from ENVIronmental SATtellite (ENVISAT)/Advanced Synthetic Aperture Radar images. The taken into consideration were a feedforward artificial neural network (ANN) with two hidden layers, statistical approach based on Bayes' theorem, and iterative algorithm the nelder-mead direct-search method. comparison was carried out by using both simulated experimental data. Simulated data obtained means...
Abstract. A systematic and timely monitoring of land surface parameters that affect the hydrological cycle at local global scales is primary importance in obtaining a better understanding geophysical processes managing environmental resources as well natural disasters. Soil moisture snow water equivalent are two quantities play major role these applications. In this paper an algorithm for purposes (called hereinafter HydroAlgo), which able to generate maps depth (SD) soil content (SMC) from...
In this paper, an approach for estimating the soil moisture content (SMC) in arid environment Tunisia is presented. countries characterized by and semi-arid climate, it very important to obtain reliable estimates of evolution water management purposes, order reduce wastes properly schedule agricultural practices. On other hand, retrieval SMC often hampered small humidity range (below 10%). A algorithm aiming at based on artificial neural networks (ANN) has therefore been implemented, using...
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....
In this paper, multifrequency synthetic aperture radar (SAR) images from ALOS/PALSAR, ENVISAT/ASAR and Cosmo-SkyMed sensors were studied for forest classification in a test area Central Italy (San Rossore), where detailed in-situ measurements available. A preliminary discrimination of the main land cover classes types was carried out by exploiting synergy among L-, C- X-bands different polarizations. SAR data preliminarily inspected to assess capabilities discriminating non-forest separating...
In this paper, we report the results of an experimental study aimed toward investigating microwave emission from forests. The experiment was carried out in 2006 on two forest stands poplar ( <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Populus alba)</i> and pine xmlns:xlink="http://www.w3.org/1999/xlink">(Pinus italica</i> ), using ground-based radiometers at L-, C-, X-, Ku-, Ka-bands, H V polarizations. Measurements were performed different...
The sensitivity of bistatic scattering coefficient σ° to soil moisture content (SMC) and surface roughness was investigated by means model simulations the incoherent scattered fields performed with advanced integral equation (AIEM) second order small perturbation (SPM). study simulating on whole upper half space, for different values incident angles. achieved results, represented as maps a function azimuth zenith angles, were evaluated quality index which takes into consideration effect SMC...
In this paper, the results of a comparison between soil moisture content (SMC) estimated from C-band SAR, SMC simulated by hydrological model, and measured on ground are presented. The study was carried out in an agricultural test site located North-west Italy, Scrivia river basin. model used for simulations consists one-layer water balance which found to be able partially reproduce variability, retaining at same time simplicity effectiveness describing topsoil. estimates were derived...
Monitoring of snow cover is crucial to the study global climate changes for water resource management, as well flood and avalanche risk prevention. The sensitivity characteristics X-band backscattering COSMO-SkyMed mission has been analyzed in framework experimental model activities. data have found contribute retrieval equivalent (SWE), provided that characterized by a depth (SD) roughly 60-70 cm (SWE >; 100-150 mm) with relatively large crystal dimensions. Subsequently, an algorithm...
In this paper an integrated approach by using microwave and optical satellite data, respectively acquired Sentinel-1 (S-1) Sentinel-2 (S-2) was presented for monitoring vegetation status. Experimental data electromagnetic models have been combined to relate backscattering from S-1 indices S-2 t plant conditions, which were evaluated measuring the photochemical reflectance index (PRI), soil water content. Field collected in two sorghum fields close Florence Tuscany (Central Italy) dur-ing...
In recent years, there has been growing interest on the part of remote sensing community in using Antarctic area for calibrating and validating data low-frequency satellite-borne microwave radiometers. particular, East Plateau appears to be suited this purpose. The reasons are size, structure, spatial homogeneity, thermal stability area. This is particularly interesting radiometers since, due low extinction dry snow, upper ice-sheet layer almost transparent brightness temperature variability...
This research aimed at exploiting the joint use of machine learning and polarimetry for improving retrieval surface soil moisture content (SMC) from synthetic aperture radar (SAR) acquisitions C-band. The study was conducted on two agricultural areas in Canada, which a series RADARSAT-2 (RS2) images were available along with direct measurements SMC situ stations. analysis confirmed sensitivity RS2 backscattering (σ°) to SMC. comparison compact (CP) parameters, computed by CP data simulator,...
Early-season crop mapping provides decision makers with timely information on type and conditions that are crucial for agricultural management. Current satellite-based solutions mainly rely optical imagery, albeit limited by weather conditions. Very few exploit long time series of polarized Synthetic Aperture Radar (SAR) imagery. To address this gap we assessed the performance COSMO-SkyMed X-band dual (HH, VV) data in a test area Ponte Elsa (central Italy) January-September 2020 2021. A deep...
This study focused on monitoring the water status of vegetation and soil by exploiting synergy optical microwave satellite data with aim improving knowledge cycle in cultivated lands Egyptian Delta Tunisian areas. Environmental analysis approaches based synthetic aperture radar were carried out to set up basis for future implementation practical cost-effective methods sustainable use agriculture. Long-term behaviors indices thus analyzed between 2000 2018. By using SAR from Sentinel-1, an...
This paper shows a model study about the emissivity of forests. Model outputs are compared with multifrequency airborne measurements carried out over five broadleaf forests in Italy. Two flights took place, summer 1999 and winter 2002. Available ground truth included important variables, such as biomass, tree density, average trunk diameter. data set, conjunction allometric equations information taken from literature, is used to give inputs model. A general agreement between simulated...
The analysis of experimental data collected by X-band SAR COSMO-SkyMed (CSK®) and TerraSAR-X (TSX) images on the same surface types has shown significant differences in signal level two sensors. In order to investigate possibility combining from instruments, a study was carried out comparing with similar orbital sensor parameters (e.g., incidence angle, polarization, look angle) at approximately date Italian agricultural test sites. Several homogenous fields within observed area common...
The capability of COSMO-SkyMed (CSK) in monitoring vegetation has been investigated this paper. SAR data from CSK were collected on two agricultural areas Italy 2010 to 2012, at different dates during the cycle. X-band have compared accurate ground truth measurements soil and parameters carried out simultaneously satellite passes. Significant sensitivity backscatter water content crops was observed. However, backscattering showed an opposite trend as a function biomass wheat sunflower, which...
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...
Long-term microwave and infrared radiometric measurements of snowpack were carried out with ground-based sensors in winter 2006-2007 2007-2008, together conventional snow-cover profiles. The first experiment focused on the behavior snow emission during destructive constructive metamorphisms. second involved a correlation analysis small fluctuations related to diurnal solar cycle order obtain time delay brightness temperatures Tb respect surface temperature. From this analysis, it was...
GPS reflected signals have become a source of opportunity for remote sensing the Earth's suface. In this work, we present several capabilities technique in two different polar environments: Greenland and Antarctica. The first part is dedicated to retrieval sea-ice properties, giving emphasis study coherent phase altimetric roughness estimations, polarimetric measurements determination ice salinity variation. results show good agreement with tide model daily charts. On second part, some...