A5037405899- Remote Sensing in Agriculture
- Planetary Science and Exploration
- Remote Sensing and Land Use
- Astro and Planetary Science
- Horticultural and Viticultural Research
- Spacecraft Design and Technology
- Spacecraft and Cryogenic Technologies
- Geophysical Methods and Applications
- Remote-Sensing Image Classification
- Cryospheric studies and observations
- Geophysical and Geoelectrical Methods
- Space Science and Extraterrestrial Life
- Plant Pathogens and Fungal Diseases
- Meteorological Phenomena and Simulations
- Satellite Communication Systems
- Microwave Imaging and Scattering Analysis
- Optical measurement and interference techniques
- Advanced Measurement and Detection Methods
- 3D Surveying and Cultural Heritage
- Scientific Research and Discoveries
- Geophysics and Gravity Measurements
- Remote Sensing and LiDAR Applications
- Winter Sports Injuries and Performance
- Spacecraft Dynamics and Control
- Advanced Multi-Objective Optimization Algorithms
University of Trento
2015-2024
University of Belgrade
2023
Fondazione Edmund Mach
2023
Roma Tre University
2021
SAES Group (Italy)
2021
University of West London
2021
Istituto Nazionale di Fisica Nucleare, Galileo Galilei Institute for Theoretical Physics
2007
Reliable electromagnetic simulators are of prime importance for the design radar sounder instruments and supporting subsequent analysis their data. In this paper, we present a coherent, facet method-based simulator that can compute echoes from subsurface target area with an arbitrary number geological layers, thus going beyond surface-only or two-layer descriptions so far implemented in coherent ray-tracing simulators. Propagation fields throughout is computed according to Snell's law...
With the rapid increase of world population, climate changes, and slow expansion cultivated areas, only precision agriculture (PA) can provide enough food or resources. PA requires flexible instruments for measuring spectral signatures crops to understand their conditions. Unfortunately, high initial costs multispectral cameras reduce implementation in small farms, which constitute a large portion arable land Europe contribute with social bonds, local know-how, cultural legacy. objective...
This paper presents the Subsurface Radar Sounder (SRS) instrument onboard European Space Agency's (ESA) EnVision mission. is one of three candidates selected for Cosmic Vision 2015-2025 M5 medium-class missions. It aimed at exploring activity, geologic history and atmosphere Venus. SRS an orbital ground-penetrating radar with unique science objectives understanding evolution Venus' surface by searching subsurface dielectric interfaces in top hundreds metres crust. In paper, we describe main...
Data acquisition in planetary remote sensing missions is influenced by complex environmental resource- and instrument-specific constraints. This impedes to perform observations at any given time during the mission with of instruments composing scientific payload. article presents an approach automatic scheduling operations a instrument payload mission. The methodology first subdivides long available observation intervals into shorter segments then performs selection them, producing schedule,...
Agriculture is under constant pressure to increase the production rate and provide more food or resources for other industries. Without precision agriculture it not possible fulfil these requirements. Medium large-size farms already adopted this technology, but small are far from due high initial costs. In paper we present a bespoke affordable multispectral camera farming illustrate its application in detection of Flavescence dorée. This grapevine disease that makes great concern producers...
There is a constant push on agriculture to produce more food and other inputs for different industries. Precision essential meet these demands. The intake of this modern technology rapidly increasing among large medium-sized farms. However, small farms still struggle with their adaptation due the expensive initial costs. A contribution in handling challenge, paper presents data gathering testing an in-house made, cost-effective, multispectral camera detect Flavescence dorée (FD). FD...
Grapevine is one of the most important crops cultivated across Europe. Climate factors and diseases constantly threaten its production. Recently, Flavescence dorée (FD), an incurable grapevine disease with obligation to uproot each infected plant, has been widely spread in The symptoms FD are visually expressed late summer. Currently, adopted procedure consists scouting for plants by trained experts, which time-consuming not frequent enough. As stress development causes subtle spectral...
The estimation of a snow-covered area (SCA) is often achieved by classification imagery acquired passive optical sensors aboard satellite platforms with high revisit frequencies [e.g., Moderate Resolution Imaging Spectroradiometer (MODIS)] required various applications. extraction the SCA from inevitably hindered presence clouds, where surface labels (i.e., snow and no-snow) remain unknown. In bulk existing research, cloud pixels are either masked out without any further processing or...
The exploitation of the high revisit time (8-16 days) by COSMO-SkyMed <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> (CSK ) satellites is an important opportunity for agricultural mapping. This study aims at evaluating CSK potentiality to classify different crop types, with multi-temporal images collected over site Marchfeld, in Austria. Two series HIMAGE SAR scenes, 3m resolution, 9 HH and VH polarization were taken during vegetation...
In planetary explorations, missions that employ flybys operate in strongly variable environments. The rapid change altitude of a flyby orbit increases the difficulties determining optimal instrument parameters to properly study investigated celestial body. Typically, selection is guided by multiple criteria according mission's scientific objectives and available resources. this letter, we propose novel automatic strategy find configuration exploiting multiobjective optimization. problem...
This study presents a preliminary assessment of the potentialities COSMO-SkyMed® (CSK®) satellite constellation to accurately classify different crops. The experiment is focused on main crops grown in agricultural region Marchfeld (Austria) namely carrot, corn, potato, soybean and sugar beet. A Support Vector Machine (SVM) classifier was fed with temporally dense series backscattering coefficients extracted from stack CSK® GTC products. In particular, twenty one dual polarization (11 HH, 10...
Reliable electromagnetic simulators are of prime importance for the design radar sounder instruments and supporting subsequent interpretation their data. In this paper we present a coherent simulator based on facet method that can compute echoes from subsurface target area with an arbitrary number geological layers, thus going beyond mere 1- or 2-layer descriptions usually modelled by ray-tracing simulators. The has been validated using real data lunar areas characterized multilayer nature...
Data acquistions performed by instruments in the scientific payload of planetary missions require an accurate planning, for obtaining expected science return. This paper presents approach to automatic planning and scheduling acquisitions remote sensing missions. The exploits multi-objective optimization techniques based on Genetic Algorithms (GAs) produce schedules that are optimized tradeoffs multiple criteria identifying quality considered acquisition campaign. is general, but this we...
This paper introduces a novel method for estimation of snow/no-snow labels cloud-obscured pixels in order to enable an accurate mapping the snow-covered area (SCA) time series. The proposed leverages embedded information multitemporal correlation between presence/absence snow and environmental factors including topographical elevation, date acquisition, cloud obscuration duration. is built upon three main steps: i) classification single images into classes (snow, no-snow, cloud), ii)...
The project of rigid pavements in airport aprons is a complex process considering several factors, spanning from the critical aircraft that expected to park stand subgrade bearing strength. However, issues occurring during construction phase or overloading pavement are likely reduce service life with respect design expectations. This work presents outcomes still on-going non-destructive monitoring activity carried out 2008 over three stands located APRON 700 Fiumicino Airport Rome, Italy. In...