A5069483030- Remote Sensing in Agriculture
- Soil Geostatistics and Mapping
- Smart Agriculture and AI
- Geochemistry and Geologic Mapping
- Plant Water Relations and Carbon Dynamics
- Horticultural and Viticultural Research
- Spectroscopy and Chemometric Analyses
- Edible Oils Quality and Analysis
- Leaf Properties and Growth Measurement
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Soil erosion and sediment transport
- Marine and coastal plant biology
- Soil Carbon and Nitrogen Dynamics
- Plant Stress Responses and Tolerance
- Irrigation Practices and Water Management
- Soil and Land Suitability Analysis
- Plant Growth Enhancement Techniques
- Water resources management and optimization
- Remote-Sensing Image Classification
- Infrared Target Detection Methodologies
- Clay minerals and soil interactions
- Soil and Unsaturated Flow
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
Università degli Studi della Tuscia
2020-2024
University of Naples Federico II
2024
International Centre for Advanced Mediterranean Agronomic Studies
2017-2021
Istituto Agronomico Mediterraneo di Bari
2020
The PRISMA satellite is equipped with an advanced hyperspectral Earth observation technology capable of improving the accuracy quantitative estimation bio-geophysical variables in various Science Applications and particular for soil science. purpose this research was to evaluate ability imager estimate topsoil properties (i.e., organic carbon, clay, sand, silt), comparison current multispectral sensors. To investigate expectation, a test carried out using data collected Italy following two...
This study analyzed the capability of aerial RGB (red-green-blue) and hyperspectral-derived vegetation indices to assess response sweet maize (Zea mays var. saccharata L.) different water nitrogen inputs. A field experiment was carried out during 2020 by using both remote images ground hyperspectral sensor data. Physiological parameters (i.e., leaf area index, relative content, chlorophyll content gas exchange parameters) were measured. Correlation multivariate data analysis (principal...
Soil salinization is a critical environmental problem in arid and semiarid regions of the world. The aim present study was to evaluate effect an algae-based biostimulant on germination seedling vigour durum wheat (Triticum turgidum L. subsp. (Desf.) Husn.), under different saline conditions (0, 100, 200 mM NaCl). experiment carried out controlled-environment conditions. Seeds were sprayed with solution containing combination fungicide concentrations Codium fragile (Suringar) Hariot algae...
A better comprehension of soil properties and processes permits a progress in agricultural management effectiveness, together with diminution environmental damage more beneficial use resources. This research investigated the usage multispectral (Sentinel-2 MSI) satellite data at farm/regional level, for identification agronomic bare presence, utilizing bands spectral range from visible to shortwave infrared. The purpose was assess frequency cloud-free time-series images available during year...
The olive tree (Olea europaea L.) is the main fruit in most of arid and semi-arid regions Tunisia, which where problem salinity more pronounced. Salinity one factors that affects productivity trees, so objective this experiment was to study effects on photosynthesis, water relations, mineral status, enzymatic activity two cultivars Olea L., 'Chemlali' 'Koroneiki'. trial conducted under controlled conditions a greenhouse for period 49 days included treatments: T0 control T100 (irrigation with...
A reliable assessment of forest resource stocks, productivity, and harvesting is a central goal environmental monitoring programs. More specifically, evaluating appropriate management tools has become increasingly critical for assessing sustainability. Understanding how forests respond to various essential developing implementing sustainable strategies that enhance the resilience ecosystems. Chestnut practices differ across regions, with coppicing being one most common techniques. However,...
NIR spectrometers based on micro-electromechanical systems (MEMS) have become available in the market, with lower prices and smaller dimensions than traditional spectrometers. MEMS technology allows for miniaturizing reduces cost of spectrometers, allowing a wider use agricultural consultants, technicians, scientific researchers. The aim this work was to evaluate an innovative FT-NIR spectrometer, namely Neospectra Scanner (NS), covering range from 1350 2500 nm. assessment performed by...
The accurate monitoring of soil salinization plays a key role in the ecological security and sustainable agricultural development semiarid regions. objective this study was to achieve best estimation electrical conductivity variables from salt-affected soils south Mediterranean region using Sentinel-2 multispectral imagery. In order realize goal, test carried out (EC) data collected central Tunisia. Soil leaf were measured an olive orchard over two growing seasons under three irrigation...
Tunisia is known to be a country with poor water resources, and scarcity evident in certain regions. In the long term, this situation could worsen, given increased risk of drought. The olive tree (Olea europaea L.) one plants best adapted climate, numerous studies have been carried out assess effects stress. aim work was study compare ecophysiological behavior main Tunisian cultivar (Chetoui) four rare cultivars (Chemchali, Besbessi, Sayali Jarboui) under drought stress identify parameters...
The identification of zones within an agricultural field that respond differently to environmental factors and agronomic management is a key requirement for the adoption more precise sustainable practices. Several approaches based on spatial clustering methods applied different data sources, e.g. yield maps, proximal sensors soil surveys, have been proposed in last decades. current availability huge amount free remote sensing allows apply these areas where ground or are not available....
Remote sensing technologies have been widely studied for the estimation of crop biometric and physiological parameters. The number sensors data acquisition methods increasing, their evaluation is becoming a necessity. aim this study was to assess performance two remote describing variations parameters durum wheat grown under different water regimes (rainfed, 50% 100% irrigation requirements). experimentation carried out in Policoro (Southern Italy) growing seasons. Landsat 8 Sentinel-2...
Abstract This study is part of the requirements consolidation for European Copernicus Hyperspectral Imaging Mission Environment (CHIME). It explores value added by existing hyperspectral data similar characteristics to CHIME, namely AVIRIS‐NG and PRecursore IperSpettrale della Missione Applicativa (PRISMA), detecting topsoil texture properties. The spatial variability retrieved using linear spectral mixture analysis, an image‐based algorithm that breaks down set into fractional abundance...
Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential develop more sustainable management practices in agricultural systems. Within this context, paper presents the results of different research activities carried out within ESA-MOST Dragon 4 programme. The encompasses two avenues: (a) retrieval biophysical variables crops yield prediction; (b) food security related strategies. Concerning variables, show that LAI, derived by...
In this research the potential of PRISMA hyperspectral sensor in comparison with multispectral data (Sentinel-2 MSI and Landsat 8 OLI) was assessed for predicting soil moisture. To aim, PRISMA, Sentinel-2 spectra, resampled according to spectral bands each sensor, were simulated from a laboratory library. The samples used create library collected different agricultural areas Central Southern Italy. Partial Least Square Regression (PLSR), Normalized Soil Moisture Index (NSMI) Gaussian Model...
<p>On the 22 March 2019 Italian Space Agency (ASI) launched PRISMA satellite, having onboard a hyperspectral imager covering 400-2500 nm range with 234 spectral bands and about 10 of bandwidth. The ground spatial resolution is 30 m, plus panchromatic camera 5 m resolution. One potential application areas this scientific mission for precision agriculture applications, among which mapping field-scale variability topsoil properties particular...
The PRISMA (PRecursore IperSpettrale della Missione Applicativa) hyperspectral satellite, launched by the Italian Space Agency (ASI) is presently operational on a global scale. mission includes imager working in 400–2500 nm spectral range with 234 bands and panchromatic (PAN) camera (400–750 nm). In context of this work, we intend to determine two noise components (photon thermal noise) assess SNR an image based approach. Results show that evaluation assessed through collected images...
Abstract Understanding the variability of soil attributes allows to improve farm production efficiency, accompanied by a reduction in environmental impacts and effective usage resources. Several studies confirmed potential optical remote sensing data for quantifying attributes, such as clay content, organic carbon texture classes A challenging issue spatial-temporal surveying is limited availability cloud-free images or affected cloud/shadow. Further, imagery with high temporal resolution...
<p>The application of digital soil mapping in precision agriculture is extremely important, since an assessment the spatial variability properties within cultivated fields essential order to optimize agronomic practices such as fertilization, sowing, irrigation and tillage. In this context, it necessary develop methods which rely on information that can be obtained rapidly at low cost. present work, carried out what are most useful covariates include field-scale interest...
On the 22 March 2019, Italian Space Agency (ASI) launched PRISMA satellite, having onboard a hyperspectral imager covering 400–2500 nm range with 234 spectral bands and about 10 of bandwidth. The ground spatial resolution is 30 m, plus panchromatic camera 5 m resolution. One potential application areas this scientific mission for precision agriculture applications, among which mapping field-scale variability topsoil properties particular interest. clear-sky images were acquired in autumn...