A5089051713- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Soil Geostatistics and Mapping
- Calibration and Measurement Techniques
- 3D Surveying and Cultural Heritage
- Archaeological Research and Protection
- Spectroscopy and Chemometric Analyses
- Remote Sensing and Land Use
- Water Quality Monitoring and Analysis
- Urban Heat Island Mitigation
- Aquatic Ecosystems and Biodiversity
- Infrared Target Detection Methodologies
- Thermography and Photoacoustic Techniques
- Advanced Image Fusion Techniques
- Conservation Techniques and Studies
- Water Quality Monitoring Technologies
- Remote Sensing and LiDAR Applications
- Smart Agriculture and AI
- Satellite Image Processing and Photogrammetry
- Structural Health Monitoring Techniques
- Aquatic Ecosystems and Phytoplankton Dynamics
- Cultural Heritage Materials Analysis
- Marine and coastal ecosystems
- Soil Moisture and Remote Sensing
National Research Council - Institute of Methodologies for Environmental Analysis
2015-2024
National Research Council
2013-2024
Italian Resuscitation Council
2019-2020
Fondazione Roma
2019
Consorzio Roma Ricerche
2019
Istituto per le Applicazioni del Calcolo Mauro Picone
2013
IAC (United States)
2013
Institute of Atmospheric Pollution Research
2007-2009
National Academies of Sciences, Engineering, and Medicine
2009
The main objectives of the PRISMA (Hyperspectral Precursor Application Mission) mission are: implementation an Earth Observation pre-operative payload, in-orbit demonstration and qualification Italian state-of-the-art hyperspectral/panchromatic technology validation end-to-end data processing system able to support development new applications based on high spectral resolution images. aim paper is provide overview by describing current status program giving a brief outline work done till now...
Soil moisture hampers the estimation of soil variables such as clay content from remote and proximal sensing data, reducing strength relevant spectral absorption features. In present study, two different strategies have been evaluated for their ability to minimize influence on by using spectra acquired in a laboratory simulating satellite hyperspectral data. Simulated data were obtained according characteristics forthcoming imager board Italian PRISMA mission. The datasets split into four...
Summary A study was carried out to investigate the usefulness of multispectral and hyperspectral satellite information for estimation soil properties agronomic importance such as texture organic matter ( SOM ) in cultivated fields by comparing different procedures. Images acquired from Advanced Land Imager ALI Hyperion sensors on board EO ‐1 were used, combination with ground‐sampling data an agricultural field central Italy, evaluate advantage taking into account spatial correlation between...
The ERMES agromonitoring system for rice cultivations integrates EO data at different resolutions, crop models, and user-provided in situ a unified system, which drives two operational downstream services monitoring. first is aimed providing information concerning the behavior of current season regional/rice district scale, while second dedicated to provide farmers with field-scale useful support more efficient environmentally friendly practices. In this contribution, we describe main...
The total suspended matter (TSM) variability plays a crucial role in lake’s ecological functioning and its biogeochemical cycle. Sentinel-2A MultiSpectral Instrument (MSI) Landsat 8 Operational Land (OLI) data offer unique opportunities for investigating certain in-water constituents (e.g., TSM chlorophyll-a) owing to their spatial resolution (10–60 m). In this framework, we assessed the potential of MSI–OLI combined characterizing multi-temporal (2014–2018) Pertusillo Lake (Basilicata...
In March 2019, the PRISMA (PRecursore IperSpettrale della Missione Applicativa) hyperspectral satellite was launched by Italian Space Agency (ASI), and it is currently operational on a global basis. The mission includes imager working in 400–2500 nm spectral range with 237 bands panchromatic (PAN) camera (400–750 nm). This paper presents an evaluation of top-of-atmosphere (TOA) L1 products using different situ measurements acquired over fragmented rural area Southern Italy (Pignola) between...
The ISTIMES project, funded by the European Commission in frame of a joint Call “ICT and Security” Seventh Framework Programme, is presented preliminary research results are discussed. main objective project to design, assess promote an Information Communication Technologies (ICT)-based system, exploiting distributed local sensors, for non-destructive electromagnetic monitoring critical transport infrastructures. integration technologies with new ICT information telecommunications systems...
Passive measurement of sun-induced chlorophyll fluorescence (F) represents the most promising tool to quantify changes in photosynthetic functioning on a large scale. However, complex relationship between this signal and other photosynthesis-related processes restricts its interpretation under stress conditions. To address issue, we conducted field campaign by combining daily airborne ground-based measurements F (normalized photosynthetically active radiation), reflectance surface...
An experimental method to select the number of principal components in minimum noise fraction (MNF) is proposed process images measured by imagery sensors onboard aircraft or satellites. The based on an measurement spectrometers dark conditions from which structure can be estimated. To represent typical land and atmospheric variability, a significative data set synthetic noise-free real Multispectral Infrared Visible Imaging Spectrometer built. this purpose, subset spectra selected within...
This paper describes a fast procedure for evaluating asphalt pavement surface defects using airborne emissivity data. To develop this procedure, we used multispectral data covering an urban test area close to Venice (Italy).For study, first identify and select the roads’ pavements on Multispectral Infrared Visible Imaging Spectrometer (MIVIS) imagery segmentation procedure. Next, since in are strictly related decrease of oily components that cause increase abundance surfacing limestone,...
Despite its high importance for crop yield prediction and monitoring, early-season mapping is severely hampered by the absence of timely ground truth. To cope with this issue, study aims at evaluating capability PRISMA hyperspectral satellite images compared Sentinel-2 multispectral imagery to produce early- in-season maps using consolidated machine deep learning algorithms. Results show that accuracy type classification meaningfully poor (14% in overall (OA)). The 1D-CNN algorithm, 89%,...
The SAP4PRISMA is a four year research project which aims at developing algorithms and products for the future PRISMA mission. started on May 2010 now entering his full activities as "PRISMA like" data set has been defined test areas were selected. paper describes main objectives realized in first 9 months of project.
The SAP4PRISMA project research activities aimed at supporting the Italian hyperspectral PRISMA mission by developing preliminary processing chains suitable for to obtain high level data products agriculture, land degradation, natural and human hazards.
The recognition of spatial patterns within agricultural fields, presenting similar yield potential areas, stable through time, is very important for optimizing practices. This study proposes the evaluation different clustering methodologies applied to multispectral satellite time series retrieving temporally (constant) in related within-field distribution. ability procedures and mapping constant fields cereal crops was assessed. Crop vigor patterns, considered be soils characteristics,...
Summary Airborne hyperspectral imagery in the thermal infrared region (8.0–11.5 µm) was acquired with a airborne spectrographic imager ( TASI ‐600) on bare soils agricultural fields Pontecagnano (southern Italy). These data were related to ground sampling order assess capability of this technology predict topsoil properties at field scale. Emissivity spectra used calibrate prediction models for clay, sand and soil organic carbon SOC ) by partial least squares regression PLSR Cubist...
Soil moisture (SM) plays a fundamental role in the terrestrial water cycle and agriculture, with key applications such as monitoring of crop growing hydrogeological management. In this study, calibration procedure was applied to estimate SM based on integration situ airborne thermal remote sensing data. To aim, April 2018, two campaigns were carried out TASI-600 multispectral sensor Petacciato (Molise, Italy) area. Simultaneously, soil samples collected different agricultural fields study...