A5044501816- Soil Moisture and Remote Sensing
- Hydrology and Watershed Management Studies
- Precipitation Measurement and Analysis
- Hydrological Forecasting Using AI
- Hydrology and Sediment Transport Processes
- Geophysics and Gravity Measurements
- Climate change and permafrost
- Meteorological Phenomena and Simulations
- Soil and Unsaturated Flow
- Cryospheric studies and observations
- Horticultural and Viticultural Research
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Soil erosion and sediment transport
- Irrigation Practices and Water Management
- Forest ecology and management
- Water resources management and optimization
- Soil Geostatistics and Mapping
- Flood Risk Assessment and Management
- Hydraulic flow and structures
- Climate variability and models
- 3D Surveying and Cultural Heritage
- Forest Insect Ecology and Management
- Air Quality Monitoring and Forecasting
National Research Council
2022-2024
Research Institute for Geo-Hydrological Protection
2022-2024
University of Calabria
2017-2021
Abstract In this study, we perform a data assimilation (DA) experiment on very large number (>700) of small‐ and medium‐scale (150–10,000 km 2 ) European catchments to assess the impact satellite soil moisture (SM) DA streamflow simulations for different climatic hydrologic conditions. experiment, Climate Change Initiative SM active, passive combined products are assimilated over time period 2003–2016 via an Ensemble Kalman Filter (EnKF). The results show that, average, three provides...
Land surface-atmosphere interactions are strongly influenced by vegetation, since the latter drives exchange of energy, water and carbon at canopy level via transpiration photosynthesis. These biochemical processes related to both stomatal response meteorological variations (linking deepest soil layers), allocation in different parts plant such as roots leaves.  In recent years, characterization these has gained increasing attention land surface models (LSMs), which powerful tools...
Abstract. Soil moisture is a key variable in monitoring climate and an important component of the hydrological, carbon, energy cycles. Satellite products ameliorate sparsity field measurements but are inherently limited to observing near-surface layer, while water available unobserved root zone controls critical processes like plant uptake evapotranspiration. A variety approaches exists for modelling root-zone soil (RZSM), including approximating it from surface layer observations. While...
Sediment transport can be observed within the flow of water in rivers, canals, and coastal regions, encompassing both suspended-load bed-load transport. Bed-load specifically occurs near riverbed, playing a crucial role formation riverbed itself. The current study aimed to explore process sediment by employing entropy concept as theoretical approach. To this end, field data collected using meter Alaknanda River at Srinagar India were utilized. A comparison was made between calculated mean...
Abstract. Soil moisture is a key variable in monitoring climate and an important component of the hydrological, carbon, energy cycles. Satellite products ameliorate sparsity field measurements but are inherently limited to observing near-surface layer, while water available unobserved root-zone controls critical processes like plant uptake evapotranspiration. A variety approaches exist for modelling soil (RZSM), including approximating it from surface layer observations. While number RZSM...
Remote sensing measurements offer great potential to quantify evapotranspiration (ET) more accurately. This work assesses several remotely-sensed ET datasets at high, medium and coarse scale through a comparison with eddy covariance (EC) measurements. In particular, daily retrievals obtained from the Sen-ET model ECOSTRESS product, both having resolutions of tens meters, were considered. addition, 3-km estimates derived SEVIRI analyzed, together 8-day MODIS composites 500-m spatial...
Abstract: Sediment transport is a natural process where sediment particles can be deposited downstream and exacerbate flooding. The movement of sediments observed in flows through rivers, canals, coastal areas which include suspended load bed-load transport. Bed-load occurs the area close to riverbed, particular importance shaping riverbed. present research aims investigate by applying Entropy concept as theoretical approach activities project ‘Probabilistic floods forecasting...
Changes in sub-daily vegetation water content capture the pulse of Earth's ecosystems. They reflect interplay between plant function, evaporation, and soil moisture, underpin land-atmosphere exchange carbon from leaf to global scales. Current planned microwave missions provide a snapshot every few days. These are adequate observe inter- intra-annual variations above ground biomass (AGB), slow response status over weeks months, map (a-posteriori) loss due deforestation or mortality. However,...
The Himalayan region is severely exposed to the flood risk due heavy rainfall during summer monsoon. dynamics of hydrological response extreme events relatively less understood, because several complex and interactive processes. In this scenario, use rainfall-runoff models capable adequately taking these processes into account could be crucial for reliable forecasting. However, in areas with such topography, accurately characterizing meteorological forcing streamflow remains a challenging...
Irrigation plays a pivotal role in the hydrological cycle, representing about 70% of freshwater withdrawals. However, its representation Earth System models is characterized by significant uncertainties terms amount, timing and spatial distribution. Observation data offer viable way to reduce this uncertainty thanks their ability sense the soil vegetation real condition with few-days revisit high resolution (~ 10 m), e.g. new Sentinel missions.  In contribution, we use...
Understanding natural processes, particularly the water cycle, is inherently challenging due to their unpredictable and complex nature. This complexity especially pronounced when employing hydrological models, where simplifications introduce various uncertainties. Failing acknowledge address these uncertainties can biases into model outcomes, potentially influencing subsequent decision-making processes. issue pertinent in Indian Himalayan Regions, significant contributions come from melting...
Soil moisture data from remote-sensing measurements are used extensively and error characterization is critical in assessing their utility for specific applications. In hydrological monitoring forecast applications, an estimate of the root-zone soil often required, exponential filter constitutes a common approach to obtaining water index (SWI), i.e. profile remotely-sensed surface states. Advanced Scatterometer (ASCAT) (SSM) time series include estimates as ancillary data, however effects...
In this study an error propagation (EP) scheme was introduced in parallel to exponential filter computation for soil water index (SWI) estimation. A preliminarily assessment of the computed uncertainties carried out comparing satellite-derived SWI and reference root-zone situ measurements. The EP has shown skills detecting potentially less reliable values sites, as well a better understanding shortcomings. proposed approach shows potential evaluation, providing simultaneous estimates...
Mediterranean mountainous basins provide critical water supply and ecosystem services, yet these environments are increasingly at risk due to anthropogenic stressors competition for across urban, agricultural environmental demands. On the top of this, future climate projections suggest a drier warmer with large increases in frequency, duration, severity hydrological droughts serious consequences management resources natural ecosystems. So its vulnerability, it is crucial that land surface...
Root zone soil moisture, as the water available for plant uptake, effects evapotranspiration and has an important role in predicting droughts agricultural yields. While microwave remote sensing retrievals are limited to observing topmost few centimetres of soil, they can be used with a variety methods infer content root due existing link between dynamics both layers. Regardless their methodologies, most moisture datasets do not provide uncertainty estimates.Among techniques approximating...
<p>Precision agriculture is a modern approach based on farm and irrigation management to improve the efficiency in use of water resources. Precision agriculture, therefore, maximizes crop productivity yield through technologies that identify, analyze, monitor variability within field optimize profitability, sustainability, land protection. This study proposes combination approaches suite environmental variables with goal improving agricultural management. We selected...