A5023933354- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Soil Moisture and Remote Sensing
- Hydrology and Sediment Transport Processes
- Plant Water Relations and Carbon Dynamics
- Precipitation Measurement and Analysis
- Remote Sensing and LiDAR Applications
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Remote Sensing in Agriculture
- Hydrological Forecasting Using AI
- Climate variability and models
- Landslides and related hazards
- 3D Surveying and Cultural Heritage
- Hydraulic flow and structures
- Water Quality Monitoring Technologies
- Meteorological Phenomena and Simulations
- Cryospheric studies and observations
- Climate change and permafrost
- Robotics and Sensor-Based Localization
- Ecology and Vegetation Dynamics Studies
- Soil Geostatistics and Mapping
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
University of Naples Federico II
2019-2025
University of Basilicata
2012-2023
Ferdowsi University of Mashhad
2017
CSIRO Land and Water
2016
Polytechnic University of Bari
2010-2014
Instituto Politécnico Nacional
2014
Princeton University
2003-2007
Environmental monitoring plays a central role in diagnosing climate and management impacts on natural agricultural systems; enhancing the understanding of hydrological processes; optimizing allocation distribution water resources; assessing, forecasting, even preventing disasters. Nowadays, most data collection systems are based upon combination ground-based measurements, manned airborne sensors, satellite observations. These utilized describing both small- large-scale processes, but have...
Environmental monitoring plays a central role in diagnosing climate and management impacts on natural agricultural systems, enhancing the understanding hydrological processes, optimizing allocation distribution of water resources, assessing, forecasting even preventing disasters. Nowadays, most data collection systems are based upon combination ground-based measurements, manned airborne sensors or satellite observations. These utilized describing both small large scale but have...
To promote the advancement of novel observation techniques that may lead to new sources information help better understand hydrological cycle, International Association Hydrological Sciences (IAHS) established Measurements and Observations in XXI century (MOXXI) Working Group July 2013. The group comprises a growing community tech-enthusiastic hydrologists design develop their own sensing systems, adopt multi-disciplinary perspective tackling complex observations, often use low-cost...
With the increasing role that unmanned aerial systems (UAS) are playing in data collection for environmental studies, two key challenges relate to harmonizing and providing standardized guidance collection, also establishing protocols applicable across a broad range of environments conditions. In this context, network scientists cooperating within framework Harmonious Project develop promote harmonized mapping strategies disseminate operational ensure best practice interpretation. The...
Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes rapidly changing world. Within this context, image-based river has shown to significantly enhance data collection, improve analysis accuracy, support timely decision-making. The integration of remote proximal sensing technologies, with citizen science, artificial intelligence may revolutionize practices. Therefore, it is quantify the quality current research ongoing initiatives...
The availability of new technologies for the measurement surface elevation has addressed lack high-resolution data, which led to an increase in attraction automated procedures based on digital models (DEMs) hydrological applications, including delineation floodplains. In particular, exposure flooding may be delineated quite well by adopting a modified topographic index (TIm) computed from DEM. comparison TIm and flood inundation maps (obtained hydraulic simulations) shows that portion basin...
Abstract. Olive trees (Olea europaea L.) are commonly grown in the Mediterranean basin where prolonged droughts may occur during vegetative period. This species has developed a series of physiological mechanisms, that can be observed several plants macchia, to tolerate drought stress and grow under adverse climatic conditions. These mechanisms have been investigated through an experimental campaign carried out over both irrigated drought-stressed order comprehend plant response stressed...
Accurate flood mapping is important for both planning activities during emergencies and as a support the successive assessment of damaged areas. A valuable information source such procedure can be remote sensing synthetic aperture radar (SAR) imagery. However, scenarios are typical examples complex situations in which different factors have to considered provide accurate robust interpretation situation on ground. For this reason, data fusion approach with ancillary particularly useful. In...
Abstract. In the present work, we developed a new formulation for estimation of soil moisture in root zone based on measured value at surface. It was derived from simplified water balance equation semiarid environments that provides closed form relationship between and surface with limited number physically consistent parameters. The method sheds lights mentioned possible applications use satellite remote sensing retrievals moisture. proposed approach used measurements taken African Monsoon...
The past decades have seen rapid advancements in space-based monitoring of essential water cycle variables, providing products related to precipitation, evapotranspiration, and soil moisture, often at tens kilometer scales. Whilst these data effectively characterize variability regional global scales, they are less suitable for sustainable management local resources, which needs detailed information represent the spatial heterogeneity vegetation. following questions critical exploit from...
Image velocimetry has proven to be a promising technique for monitoring river flows using remotely operated platforms such as Unmanned Aerial Systems (UAS). However, the application of various image algorithms not been extensively assessed. Therefore, sensitivity analysis conducted on five different including Large Scale Particle Velocimetry (LSPIV), Large-Scale Tracking (LSPTV), Kanade–Lucas Tomasi (KLT-IV or KLT), Optical (OTV) and Surface Structure (SSIV), during low flow conditions...
Abstract In recent years, the acquisition of data from multiple sources, together with improvements in computational capabilities, has allowed to improve our understanding on natural hazard through new approaches based machine learning and Big Data analytics. This given potential flood risk mapping, allowing automatic extraction prone areas using digital elevation model (DEM) geomorphic approaches. Most proposed are conceived mainly for identification extent. this article, DEM‐based method a...
The use of multispectral satellite imagery for water monitoring is a fast and cost-effective method that can benefit from the growing availability medium–high-resolution free remote sensing data. Since 1970s, has been exploited by adopting different techniques spectral indices. high number available sensors their differences in spatial characteristics led to proliferation outcomes depicts nice picture potential limitations each. This paper provides review applications extent delineation...
Flood extent delineation techniques have benefited from the increasing availability of remote sensing imagery, classification and introduction geomorphic descriptors derived Digital Elevation Models (DEM). On other hand, high-performing Machine Learning (ML) methods allowed for development accurate flood maps by integrating several predictor variables into supervised or unsupervised algorithms. Among others, Random Forest (RF) is a powerful widely applied ML classifier, providing predictions...
In the present work, flood hazard exposure in an ungauged basin Africa is assessed exploiting morphological characteristics. Flood-prone areas are identified using linear binary classifiers based on several geomorphic descriptors extracted from digital elevation models (DEMs). The calibrated individually and evaluated by comparing their outputs with a inundation map obtained two-dimensional (2D) hydraulic simulations receiver operating characteristics (ROC) curves as performance measures....
The time-dependent bridge pier scour during flood waves is analysed. Scour experiments were conducted in a novel installation able to produce complex hydrographs with high precision. Experimental data used test formulas including new mathematical model. Results confirm the reliability and superior performance of proposed dimensionless, effective flow work based model under steady unsteady hydraulic conditions. Analyses highlight impact different on scour, demonstrating strong control by...
Abstract. Since the turn of 21st century, image-based velocimetry techniques have become an increasingly popular approach for determining open-channel flow in a range hydrological settings across Europe and beyond. Simultaneously, large-scale image algorithms been developed that are equipped with differing pre-processing analytical capabilities. Yet operational hydrometry, these utilised by few competent authorities. Therefore, imagery collected analysis (along reference data) is required...