A5079584085- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Climate change and permafrost
- Soil Geostatistics and Mapping
- Remote Sensing in Agriculture
- Arctic and Antarctic ice dynamics
- Landslides and related hazards
- Remote Sensing and LiDAR Applications
- Geophysical Methods and Applications
- Soil and Unsaturated Flow
- Tree Root and Stability Studies
- Remote Sensing and Land Use
- Ecology and Vegetation Dynamics Studies
- Land Use and Ecosystem Services
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Smart Agriculture and AI
- Winter Sports Injuries and Performance
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
- Geology and Paleoclimatology Research
- Forest ecology and management
- International Development and Aid
Nello Carrara Institute of Applied Physics
2015-2024
National Research Council
2015-2024
Florida Fish and Wildlife Conservation Commission
2023
National Academies of Sciences, Engineering, and Medicine
2004-2020
Research Institute for Geo-Hydrological Protection
2011-2016
University of Siena
2009-2015
Higher Institute for Artistic Industries Firenze
2013-2014
Banque Nationale de Gènes
2013
University of Turin
2008
Istituto Nazionale per la Fisica della Materia
2002-2003
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)...
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...
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...
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 sensitivity of microwave emission at different frequencies to soil moisture in bare and vegetated soils has been investigated using experimental data. Since the best frequency for measurement (L-band) is absent current satellite sensors, it necessary seek alternative solutions. An algorithm proposed retrieval based on both brightness temperature polarization index C-band, one that able correct effect vegetation by means X-band. tested data collected with airborne radiometers agricultural...
This paper investigates the possibility of estimating soil moisture content (SMC) on a global scale from dual-frequency (C- and X-bands) microwave data Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E). Because some anomalous behavior was occasionally found in AMSR-E C- X-band data, calibration check compared with measurements SSM/I sensor over two reference targets, namely Russian evergreen forest sea surface, both which have already been studied past. The algorithm...
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...
Thanks to the large number of satellites, multimission approach is becoming a viable method integrate measurements and intensify samples in space time for monitoring earth system. In this paper, we merged data from different satellite missions, optical sensors, altimetry, estimating daily river discharge through application artificial neural network (ANN) technique. ANN was selected among other retrieval techniques because it offers an easy but effective way combining input sources into same...
In this article, a retrieval algorithm based on the use of an artificial neural network (ANN) is proposed for wind speed estimations from cyclone global navigation satellite system (CYGNSS). The delay/Doppler map average and leading edge slope observables, derived CYGNSS maps, are used as inputs to network, along with geographical, geometry, hardware antenna information. derivation optimal number hidden layers neurons obtained using statistical metrics agreement between data matchups...
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...
Microwave radiometers operating from space are one of the most promising tools for soil, snow and vegetation monitoring, due to sensitivity measured emission surface features extended recursive Earth observation. However, these potentials partially hampered by coarse spatial resolution, which is order tens kilometres, especially at lower frequencies. This paper describes results obtained using a simple algorithm enhancing resolution spaceborne microwave radiometer C-band. The based on...
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...
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...
This work presents an overview of the activity developed in frame a project funded by European Space Agency (ESA). The research was focused on study potential applications GNSS Reflectometry (GNSS-R) over land, with emphasis soil moisture (SM) and biomass. A about sensitivity respect to freeze–thaw dynamics considered as well. started analysis GNSS-R reflectivity collected <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TechDemoSat-1</i> (...