A5077411384- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Atmospheric and Environmental Gas Dynamics
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Horticultural and Viticultural Research
- Atmospheric chemistry and aerosols
- Plant Water Relations and Carbon Dynamics
- Smart Agriculture and AI
- Mycotoxins in Agriculture and Food
- Plant responses to elevated CO2
- Vehicle emissions and performance
- Wind and Air Flow Studies
- Wheat and Barley Genetics and Pathology
- Climate change impacts on agriculture
- Meteorological Phenomena and Simulations
- Urban Heat Island Mitigation
- Climate variability and models
- Agricultural Economics and Policy
- Atmospheric aerosols and clouds
- Greenhouse Technology and Climate Control
- Land Use and Ecosystem Services
- Crop Yield and Soil Fertility
- Odor and Emission Control Technologies
- Forest Ecology and Biodiversity Studies
National Research Council
2015-2024
National Academies of Sciences, Engineering, and Medicine
2014-2024
Istituto di Biometeorologia
2009-2019
National Research Council
2019
University of Udine
2012-2015
Max Planck Institute for Chemistry
2009
Precision Viticulture is experiencing substantial growth thanks to the availability of improved and cost-effective instruments methodologies for data acquisition analysis, such as Unmanned Aerial Vehicles (UAV), that demonstrated compete with traditional platforms, satellite aircraft, due low operational costs, high flexibility spatial resolution imagery. In order optimize use these technologies precision viticulture, their technical, scientific economic performances need be assessed. The...
Climate change has been reported as a driver for emerging food and feed safety issues worldwide its expected impact on the presence of mycotoxins in is great concern. Aflatoxins have highest acute chronic toxicity all mycotoxins; hence, maximal concentration agricultural products their commodities regulated worldwide. The possible patterns aflatoxin occurrence crops due to climate matter concern that may require anticipatory actions. aim this study was predict contamination maize wheat...
Abstract. Due to the major role of sun in heating earth's surface, atmospheric planetary boundary layer over land is inherently marked by a diurnal cycle. The afternoon transition, period day that connects daytime dry convective night-time stable layer, still has number unanswered scientific questions. This phase cycle challenging from both modelling and observational perspectives: it transitory, most forcings are small or null turbulence regime changes fully convective, close homogeneous...
Dietary (co)-exposure to mycotoxins is associated with human and animal health concerns as well economic losses. This study aims give a data-based insight from the scientific literature on (co-)occurrence of (i.e., parent modified forms) in European core cereals, estimate potential patterns co-exposure humans animals. Mycotoxins were mainly reported wheat maize showing highest concentrations fumonisins (FBs), deoxynivalenol (DON), aflatoxins (AFs), zearalenone (ZEN). The maximum FB1+FB2 both...
Abstract. The CEFLES2 campaign during the Carbo Europe Regional Experiment Strategy was designed to provide simultaneous airborne measurements of solar induced fluorescence and CO2 fluxes. It combined with extensive ground-based quantification leaf- canopy-level processes in support ESA's Candidate Earth Explorer Mission "Fluorescence Explorer" (FLEX). aim this test if signal detected from an platform can be used improve estimates plant mediated exchange on mesoscale. Canopy quantified four...
Background Short-term impacts of high temperatures on the elderly are well known. Even though Italy has highest proportion citizens in Europe, there is a lack information spatial heat-related risks. Objectives Development high-resolution, urban risk maps regarding population (≥65). Methods A long time-series (2001–2013) remote sensing MODIS data, averaged over summer period for eleven major Italian cities, were downscaled to obtain resolution (100 m) daytime and night-time land surface...
A low-cost air quality station has been developed for real-time monitoring of main atmospheric pollutants. Sensors CO, CO₂, NO₂, O₃, VOC, PM2.5 and PM10 were integrated on an Arduino Shield compatible board. As concerns sensors, the underwent a laboratory calibration later field validation. Laboratory carried out at headquarters CNR-IBIMET in Florence (Italy) against TSI DustTrak reference instrument. MATLAB procedure, implementing advanced mathematical techniques to detect possible complex...
Natural, semi-natural, and planted forests are a key asset worldwide, providing broad range of positive externalities. For sustainable forest planning management, remote sensing (RS) platforms rapidly going mainstream. In framework where scientific production is growing exponentially, systematic analysis unmanned aerial vehicle (UAV)-based forestry research papers paramount importance to understand trends, overlaps gaps. The present review organized into two parts (Part I Part II). II...
Forest sustainable management aims to maintain the income of woody goods for companies, together with preserving non-productive functions as a benefit community. Due progress in platforms and sensors opening dedicated market, unmanned aerial vehicle–remote sensing (UAV–RS) is improving its key role forestry sector tool management. The use UAV (Unmanned Aerial Vehicle) precision has exponentially increased recent years, demonstrated by more than 600 references published from 2018 until...
Analysis of the spectral response vegetation using optical sensors for non-destructive remote monitoring represents a key element crop monitoring. Considering wide presence on market unmanned aerial vehicle (UAVs) based commercial solutions, need emerges clear information performance these products to guide end-user in their choice and utilization precision agriculture applications. This work aims compare two UAV products, represented by DJI P4M SENOP HSC-2 acquisition multispectral...
Abstract. Gross primary productivity (GPP) is the largest and most variable component of global terrestrial carbon cycle. Repeatable accurate monitoring GPP therefore critical for quantifying dynamics in regional-to-global budgets. Remote sensing provides high frequency observations ecosystems widely used to monitor model spatiotemporal variability ecosystem properties processes that affect GPP. We data from Moderate Resolution Imaging Spectroradiometer (MODIS) FLUXNET assess how well four...
The availability of big data in agriculture, enhanced by free remote sensing and on-board sensor-based data, provides an opportunity to understand within-field year-to-year variability promote precision farming practices for site-specific management. This paper explores the performance durum wheat yield estimation using different technologies processing methods. A state-of-the-art cleaning technique has been applied from a monitoring system, giving good agreement between hand sampled data....
Yield prediction is a key factor to optimize vineyard management and achieve the desired grape quality. Classical yield estimation methods, which consist of manual sampling within field on limited number plants before harvest, are time-consuming frequently insufficient obtain representative data. Non-invasive machine vision methods therefore being investigated assess implement rapid estimate tool. This study aimed at an automated in terms cluster size from high resolution RGB images (20MP)...
A new downscaling algorithm for land surface temperature (LST) images retrieved from Landsat Thematic Mapper (TM) was developed over the city of Florence and results assessed against a high-resolution aerial image. The TM thermal band has spatial resolution 120 m, resampled at 30 m by US Geological Survey (USGS) agency, whilst airborne ground 1 m. Substantial differences between USGS data were observed on grid: therefore statistical method developed. overall root mean square error with...
Surface soil water content plays an important role in driving the exchange of latent and sensible heat between atmosphere land surface through transpiration evaporation processes, regulating key physiological processes affecting plants growth. Given high impact scarcity on yields, irrigated agriculture overall withdrawal rate freshwater, it is to define models that help improve resources management for agricultural purposes, optimize rainfed crop yield. Recent advances satellite-based remote...
Several remote sensing technologies have been tested in precision viticulture to characterize vineyard spatial variability, from traditional aircraft and satellite platforms recent unmanned aerial vehicles (UAVs). Imagery processing is still a challenge due the row-based architecture, where inter-row soil provides high full presence of mixed pixels. In this case, UAV images combined with filtering techniques represent solution analyze pure canopy pixels were used benchmark effectiveness...
Spatial assessment of rice-cultivated areas is a crucial activity in Taiwan due to government initiatives provide policymakers with reliable and timely information for devising successful rice grain import export plans. The objective this study develop phenological object-based approach collectively mapping patches fields using the time-series Sentinel-1 Synthetic Aperture Radar (SAR) data. We processed data 2019 cropping seasons, following three main steps: (1) pre-processing construct...
Hyperspectral aerial imagery is becoming increasingly available due to both technology evolution and a somewhat affordable price tag. However, selecting proper UAV + hyperspectral sensor combo use in specific contexts still challenging lacks documental support. While an more straightforward as it mostly relates with compatibility, autonomy, reliability cost, has much be considered. This note provides assessment of two sensors (push-broom snapshot) regarding practicality suitability, within...