A5018269975- Remote Sensing and LiDAR Applications
- Soil erosion and sediment transport
- Hydrology and Sediment Transport Processes
- Aeolian processes and effects
- Remote Sensing in Agriculture
- Forest ecology and management
- Hydrology and Watershed Management Studies
- Biofuel production and bioconversion
- Soil and Land Suitability Analysis
- Aquatic and Environmental Studies
- Geographic Information Systems Studies
- Geography and Environmental Studies
- Microbial Metabolic Engineering and Bioproduction
- Forest Ecology and Biodiversity Studies
- Marine and environmental studies
- Tree Root and Stability Studies
- Flood Risk Assessment and Management
- Environmental Impact and Sustainability
- Coastal wetland ecosystem dynamics
- Coastal and Marine Dynamics
- Plant Ecology and Soil Science
- Agriculture Sustainability and Environmental Impact
- Energy and Environment Impacts
- Ecology and Vegetation Dynamics Studies
- Forest Biomass Utilization and Management
CMCC Foundation - Euro-Mediterranean Center on Climate Change
2024-2025
Polytechnic University of Turin
2020-2024
Cambia
2024
Nowadays, LiDAR is widely used for individual tree detection, usually providing higher accuracy in coniferous stands than deciduous ones, where the rounded-crown, presence of understory vegetation, and random spatial distribution may affect identification algorithms. In this work, we propose a novel algorithm that aims to overcome these difficulties yield coordinates height trees on basis point density features input cloud. The was tested twelve areas, assessing its performance both...
Abstract Riparian zones are the paragon of transitional ecosystems, providing critical habitat and ecosystem services that especially threatened by global change. Following consultation with experts, 10 key challenges were identified to be addressed for riparian vegetation science management improvement: (1) Create a distinct scientific community establishing stronger bridges between disciplines; (2) Make more visible appreciated in society policies; (3) Improve knowledge regarding...
Abstract In recent decades, fluvial geomorphology and ecohydraulic research have extensively used field observations, remote sensing or hydrodynamic modelling to understand river systems. This study presents an innovative approach that combines surveys, Light Detection Ranging (LiDAR)‐based topographical biomass analyses model‐derived hydro‐morphodynamic geostatistics examine short‐term biogeomorphological changes in the wandering gravel‐bed Orco River Italy. Our primary hypothesis is...
The classification of ultra-high-resolution (UHR) imagery, characterized by spatial resolutions exceeding 10 cm, presents opportunities and challenges distinct from lower-resolution counterparts. Particularly, are pronounced in some scenarios, such as mapping plant species coastal environments, where similar vegetation responses small sizes pose additional difficulties. present work addressed issues developing a UHR cover model at the single level using data uncrewed aerial systems (UASs)...
ABSTRACT Global food production faces significant challenges, acting as a primary driver of land use change, biodiversity loss, and greenhouse gas (GHG) emissions, while part the world's population still struggles with security nutrition. In response, EAT–Lancet Commission has proposed healthy sustainable planetary diet aimed at reducing resource‐intensive foods like meat, starchy vegetables, eggs, suggesting 67% increase in global per capita unsaturated oil consumption (e.g., soybean,...
Rainfall-induced soil erosion is recognized as a significant threat to both human and ecosystem health, leading habitat degradation, food insecurity, disruptions socio-economic activities, damage infrastructure. Addressing mitigating has become priority in global national strategies, therefore requiring multitemporal large-scale assessments understand how precipitation patterns, properties, surface conditions interact contribute specific areas over time. In these assessments, the land cover...
Abstract Riparian environments are highly dynamic ecosystems that support biodiversity and numerous services conditioned by anthropogenic activities climate change. In this work, we propose an integrated methodology combines different research approaches—field studies numerical analytical modeling—in order to calibrate ecohydrological stochastic model for riparian vegetation. The yields vegetation biomass statistics requires hydrological, topographical, biological data as input. parameters,...
In recent years, satellite imagery has shown its potential to support the sustainable management of land, water, and natural resources. particular, it can provide key information about properties behavior sandy beaches surrounding vegetation, improving ecomorphological understanding modeling coastal dynamics. Although image processing usually demands high memory computational resources, free online platforms such as Google Earth Engine (GEE) have recently enabled their users leverage...
Abstract In recent years, numerous directives worldwide have addressed the conservation and restoration of riparian corridors, activities that rely on continuous vegetation mapping to understand its volumetric features health status. Mapping corridors requires not only fine‐scale resolution but also coverage relatively large areas. The use Unmanned Aerial Vehicles (UAV) allows for meeting both conditions, although cost‐effectiveness their is highly influenced by type sensor mounted them. Few...
<p>European watersheds have been subjected to different anthropic disturbances affecting their sediment budget and the morphodynamic asset in last century, such as extensive mining, flow regulation, damming, land-use change, embankment. As a response, gravel-bed rivers went through planform shifts, typically from multi- single-thread configurations, dramatic bed degradation.</p><p>The regulation of mining activity occurrence major floods can...