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2023
Journal article
Open Access
Missing plant detection in vineyards using UAV angled RGB imagery acquired in dormant period
Di Gennaro Sf, Vannini Gl, Berton A, Dainelli R, Toscano P, Matese A
Since 2010, more and more farmers have been using remote sensing data from unmanned aerial vehicles, which have a high spatial-temporal resolution, to determine the status of their crops and how their fields change. Imaging sensors, such as multispectral and RGB cameras, are the most widely used tool in vineyards to characterize the vegetative development of the canopy and detect the presence of missing vines along the rows. In this study, the authors propose different approaches to identify and locate each vine within a commercial vineyard using angled RGB images acquired during winter in the dormant period (without canopy leaves), thus minimizing any disturbance to the agronomic practices commonly conducted in the vegetative period. Using a combination of photogrammetric techniques and spatial analysis tools, a workflow was developed to extract each post and vine trunk from a dense point cloud and then assess the number and position of missing vines with high precision. In order to correctly identify the vines and missing vines, the performance of four methods was evaluated, and the best performing one achieved 95.10% precision and 92.72% overall accuracy. The results confirm that the methodology developed represents an effective support in the decision-making processes for the correct management of missing vines, which is essential for preserving a vineyard's productive capacity and, more importantly, to ensure the farmer's economic return.Source: DRONES, vol. 7 (issue 6)
DOI: 10.3390/drones7060349
Metrics:
Di Gennaro Sf, Vannini Gl, Berton A, Dainelli R, Toscano P, Matese A
Since 2010, more and more farmers have been using remote sensing data from unmanned aerial vehicles, which have a high spatial-temporal resolution, to determine the status of their crops and how their fields change. Imaging sensors, such as multispectral and RGB cameras, are the most widely used tool in vineyards to characterize the vegetative development of the canopy and detect the presence of missing vines along the rows. In this study, the authors propose different approaches to identify and locate each vine within a commercial vineyard using angled RGB images acquired during winter in the dormant period (without canopy leaves), thus minimizing any disturbance to the agronomic practices commonly conducted in the vegetative period. Using a combination of photogrammetric techniques and spatial analysis tools, a workflow was developed to extract each post and vine trunk from a dense point cloud and then assess the number and position of missing vines with high precision. In order to correctly identify the vines and missing vines, the performance of four methods was evaluated, and the best performing one achieved 95.10% precision and 92.72% overall accuracy. The results confirm that the methodology developed represents an effective support in the decision-making processes for the correct management of missing vines, which is essential for preserving a vineyard's productive capacity and, more importantly, to ensure the farmer's economic return.Source: DRONES, vol. 7 (issue 6)
DOI: 10.3390/drones7060349
Metrics:
See at:
CNR IRIS 
| ISTI Repository | www.mdpi.com | CNR IRIS 
2024
Other
Open Access
Wetland geospatial data harmonization: an open catalogue for the Massaciuccoli Lake Basin
Vannini G. L.
The document illustrates the harmonization workflow of wetland geospatial data, focusing on the case of the 'Massaciuccoli Lake Basin'. The importance of wetlands as biodiversity reserves, vital habitats and ecological connectors is emphasised, as well as their crucial role in providing ecosystem services. The methodology designed to spatially characterise these areas is described through a chart representing the semi-automatic workflow developed to harmonise the data. 148 datasets representing 75 environmental, geomorphological and socio-economic variables were collected from various public bodies. These data, covering five time periods from the remote past (1950-1980) to the far future 2100 (under RCP 2.6, 4.5 and 8.5), were aligned and resampled with a spatial resolution of 0.0005° (~50 m). The result is an open geospatial data catalogue, INSPIRE-compliant and accessible via online platforms, useful for ecosystem modelling and sustainable wetland management.DOI: 10.5281/zenodo.12546585
Project(s): Integrated Environmental Research Infrastructures System
Metrics:
Vannini G. L.
The document illustrates the harmonization workflow of wetland geospatial data, focusing on the case of the 'Massaciuccoli Lake Basin'. The importance of wetlands as biodiversity reserves, vital habitats and ecological connectors is emphasised, as well as their crucial role in providing ecosystem services. The methodology designed to spatially characterise these areas is described through a chart representing the semi-automatic workflow developed to harmonise the data. 148 datasets representing 75 environmental, geomorphological and socio-economic variables were collected from various public bodies. These data, covering five time periods from the remote past (1950-1980) to the far future 2100 (under RCP 2.6, 4.5 and 8.5), were aligned and resampled with a spatial resolution of 0.0005° (~50 m). The result is an open geospatial data catalogue, INSPIRE-compliant and accessible via online platforms, useful for ecosystem modelling and sustainable wetland management.DOI: 10.5281/zenodo.12546585
Project(s): Integrated Environmental Research Infrastructures System
Metrics:
See at:
CNR IRIS | zenodo.org | CNR IRIS
2023
Other
Open Access
Massaciuccoli Lake Basin - Atlas of agri-environmental spatial data
Vannini Gl, Coro G
Atlas of agri-environmental spatial data developed in the context of the ITINERIS PNRR project. This is a cartographic collection of geospatial data with resolution lower than 50m for the Massaciuccoli Lake Basin.
Vannini Gl, Coro G
Atlas of agri-environmental spatial data developed in the context of the ITINERIS PNRR project. This is a cartographic collection of geospatial data with resolution lower than 50m for the Massaciuccoli Lake Basin.
See at:
data.d4science.net | CNR IRIS | CNR IRIS
2024
Book
Open Access
Massaciuccoli Lake basin - Harmonized geographic atlas for ecosystem services assessment
Vannini G. L., Coro G.
The ‘Harmonized Geographic Atlas for Ecosystem Services Assessment’ for the Massaciuccoli Lake basin contains 148 cartographic tables, each corresponding to a geodataset, representing 75 variables across climatic, agro-environmental, pedo-geological, morphological, ecological, biological, and socio-economic domains. The data is distributed across five temporal intervals: remote past (1950–1980), recent past (1981–2015), present (2016–2024), near future (2050, with projections according to RCP 2.6, 4.5, and 8.5 scenarios), and far future (2100, based on the same RCP scenarios). Each cartographic table is accompanied by a geographic map and a description of the represented variable. The document also includes two indices: the ‘Analytical Index’, located at the end, and the ‘Table and Index of Cartographic Coverages’, positioned at the beginning of the Atlas, offering a summary of metadata related to all the represented variables. This Atlas provides an integrated and systematic view of the geospatial data of the Massaciuccoli Lake basin, making it a valuable resource for studying ecosystem services.DOI: 10.5281/zenodo.13912261
Project(s): Integrated Environmental Research Infrastructures System
Metrics:
Vannini G. L., Coro G.
The ‘Harmonized Geographic Atlas for Ecosystem Services Assessment’ for the Massaciuccoli Lake basin contains 148 cartographic tables, each corresponding to a geodataset, representing 75 variables across climatic, agro-environmental, pedo-geological, morphological, ecological, biological, and socio-economic domains. The data is distributed across five temporal intervals: remote past (1950–1980), recent past (1981–2015), present (2016–2024), near future (2050, with projections according to RCP 2.6, 4.5, and 8.5 scenarios), and far future (2100, based on the same RCP scenarios). Each cartographic table is accompanied by a geographic map and a description of the represented variable. The document also includes two indices: the ‘Analytical Index’, located at the end, and the ‘Table and Index of Cartographic Coverages’, positioned at the beginning of the Atlas, offering a summary of metadata related to all the represented variables. This Atlas provides an integrated and systematic view of the geospatial data of the Massaciuccoli Lake basin, making it a valuable resource for studying ecosystem services.DOI: 10.5281/zenodo.13912261
Project(s): Integrated Environmental Research Infrastructures System
Metrics:
2024
Dataset
Open Access
Massaciuccoli Lake basin in Tuscany, Italy. Datasets of 75 environmental, geomorphologic, and socio-economic variables associated from remote past to remote future
Vannini G. L., Coro G.
Collection of 148 datasets representing 75 environmental, geomorphologic, and socio-economic variables associated with the Massaciuccoli Lake basin in Tuscany, Italy. The data cover five temporal snapshots: remote past (1950-1980), recent past (1981-2015), present (2016.2024), near future (2050 under RCP4.5 and 8.5), and remote future (2100 under RCP4.5 and 8.5) Raster data have been harmonised and resampled at 0.0005° (~50 m) resolution. Vector data have been aligned and cut over the basin boundaries. A QGIS project using the WGS84 EPSG:4326 projection is included in the ZIP file. A metadata file (in MS Excel format) reports data content descriptions, the primary sources and their FAIRness levels. The dataset numbers are aligned to the table Id-column entries.DOI: 10.5281/zenodo.11243783
Project(s): Integrated Environmental Research Infrastructures System
Metrics:
Vannini G. L., Coro G.
Collection of 148 datasets representing 75 environmental, geomorphologic, and socio-economic variables associated with the Massaciuccoli Lake basin in Tuscany, Italy. The data cover five temporal snapshots: remote past (1950-1980), recent past (1981-2015), present (2016.2024), near future (2050 under RCP4.5 and 8.5), and remote future (2100 under RCP4.5 and 8.5) Raster data have been harmonised and resampled at 0.0005° (~50 m) resolution. Vector data have been aligned and cut over the basin boundaries. A QGIS project using the WGS84 EPSG:4326 projection is included in the ZIP file. A metadata file (in MS Excel format) reports data content descriptions, the primary sources and their FAIRness levels. The dataset numbers are aligned to the table Id-column entries.DOI: 10.5281/zenodo.11243783
Project(s): Integrated Environmental Research Infrastructures System
Metrics:
See at:
CNR IRIS | zenodo.org | CNR IRIS | CNR IRIS
2025
Journal article
Open Access
A FAIR and open geographic data collection for the Massaciuccoli Lake basin wetland in Italy
Vannini G. L., Bove P., Coro G.
The creation of a catalogue of geodata harmonised over time and space is essential for describing the status of ecosystem services in wetlands. In the present work, a specific methodology has been developed for the collection and generation of spatially and temporally harmonized geographic data to describe essential ecological and socio-economic charactesristics of the Massaciuccoli Lake basin (Tuscany, Italy), while providing a re-usable methodology for other areas. We developed a methodology, which we called ‘Geodata Layers Harmonization Methodology’ (GLHM), divided into four main phases: Geodata Census (GC), Geodata Selection (GS), Geodata Alignment (GA), and Geodata Publication (GP). The first phase, GC, involved a census of geodata made available online by public institutions, prioritizing those most relevant for describing ecosystem services, such as climatic, agro-environmental, pedo-geological, and biodiversity variables, with a preference for detailed data at the local level. The metadata of the collected geodata were organized into a structured tabular format. In the GS phase, geodata were selected based on a spatial resolution compatible with regional-scale ecological models (maximum 0.0005° ≈ 50 m), and a temporal coverage that could represent from remote past to far future scenarios. Geodata with partial spatial coverage or unsuitable for ecological models were excluded. Additionally, we evaluated the compliance of the geodata published on the websites of public institutions with the Findable-Accessible-Interoperable-Reusable (FAIR) principles through a newly developed scoring system. Based on this score, we selected only the data that exceeded a minimum FAIRness threshold. In the GA phase, the selected geodata were aligned semantically (i.e., by variable meaning), temporally, and spatially. Each geodata was georeferenced using the WGS84/EPSG:4326 reference system and clipped to the boundaries of the Massaciuccoli Lake basin. Raster data were resampled to achieve a uniform spatial resolution of 0.0005°. In the last phase, GP, the aligned geodata were published on public access repositories and services: The entire collection was organized as a QGIS project with legends and a metadata table associated. An Atlas was also produced, in PDF format, which visually represented the data and metadata. The geodata and their corresponding legends were exposed through Web Map Service (WMS) and Web feature Service (WFS) standards on a GeoServer instance and catalogued in a GeoNetwork instance, compliant with the ISO19139 standard and the INSPIRE European Directive. The collection contains 148 geo-datasets, representing 75 climatic, agro-environmental, pedo-geological, morphological, ecological, biological, and socio-economic information distributed across five temporal reference time frames: a remote past (1950–1980), a near past (1981–2015), the present (2016–2024), a near future (2025–2050), and a far future (2051–2100). Future projections are available under the Representative Concentration Pathways (RPC) 2.6, 4.5, and 8.5 to simulate low, medium, and high greenhouse gas concentration scenarios respectively. The present geodata collection is particularly useful for wetland monitoring, management and planning. It can easily be integrated with ecological models and predictive studies to analyse the effects of climate change and anthropogenic pressures on wetlands. The GLHM methodology is applicable to other ecological contexts to create standardised structured frameworks for evaluating the status of the biodiversity and the ecosystem services and the interplay between anthropic pressures and the ecosystem response.Source: DATA IN BRIEF, vol. 59
DOI: 10.1016/j.dib.2025.111303
Project(s): EcoScope
Metrics:
Vannini G. L., Bove P., Coro G.
The creation of a catalogue of geodata harmonised over time and space is essential for describing the status of ecosystem services in wetlands. In the present work, a specific methodology has been developed for the collection and generation of spatially and temporally harmonized geographic data to describe essential ecological and socio-economic charactesristics of the Massaciuccoli Lake basin (Tuscany, Italy), while providing a re-usable methodology for other areas. We developed a methodology, which we called ‘Geodata Layers Harmonization Methodology’ (GLHM), divided into four main phases: Geodata Census (GC), Geodata Selection (GS), Geodata Alignment (GA), and Geodata Publication (GP). The first phase, GC, involved a census of geodata made available online by public institutions, prioritizing those most relevant for describing ecosystem services, such as climatic, agro-environmental, pedo-geological, and biodiversity variables, with a preference for detailed data at the local level. The metadata of the collected geodata were organized into a structured tabular format. In the GS phase, geodata were selected based on a spatial resolution compatible with regional-scale ecological models (maximum 0.0005° ≈ 50 m), and a temporal coverage that could represent from remote past to far future scenarios. Geodata with partial spatial coverage or unsuitable for ecological models were excluded. Additionally, we evaluated the compliance of the geodata published on the websites of public institutions with the Findable-Accessible-Interoperable-Reusable (FAIR) principles through a newly developed scoring system. Based on this score, we selected only the data that exceeded a minimum FAIRness threshold. In the GA phase, the selected geodata were aligned semantically (i.e., by variable meaning), temporally, and spatially. Each geodata was georeferenced using the WGS84/EPSG:4326 reference system and clipped to the boundaries of the Massaciuccoli Lake basin. Raster data were resampled to achieve a uniform spatial resolution of 0.0005°. In the last phase, GP, the aligned geodata were published on public access repositories and services: The entire collection was organized as a QGIS project with legends and a metadata table associated. An Atlas was also produced, in PDF format, which visually represented the data and metadata. The geodata and their corresponding legends were exposed through Web Map Service (WMS) and Web feature Service (WFS) standards on a GeoServer instance and catalogued in a GeoNetwork instance, compliant with the ISO19139 standard and the INSPIRE European Directive. The collection contains 148 geo-datasets, representing 75 climatic, agro-environmental, pedo-geological, morphological, ecological, biological, and socio-economic information distributed across five temporal reference time frames: a remote past (1950–1980), a near past (1981–2015), the present (2016–2024), a near future (2025–2050), and a far future (2051–2100). Future projections are available under the Representative Concentration Pathways (RPC) 2.6, 4.5, and 8.5 to simulate low, medium, and high greenhouse gas concentration scenarios respectively. The present geodata collection is particularly useful for wetland monitoring, management and planning. It can easily be integrated with ecological models and predictive studies to analyse the effects of climate change and anthropogenic pressures on wetlands. The GLHM methodology is applicable to other ecological contexts to create standardised structured frameworks for evaluating the status of the biodiversity and the ecosystem services and the interplay between anthropic pressures and the ecosystem response.Source: DATA IN BRIEF, vol. 59
DOI: 10.1016/j.dib.2025.111303
Project(s): EcoScope
Metrics:
See at:
CNR IRIS | www.sciencedirect.com | CNR IRIS
2024
Dataset
Open Access
Interactive geographic catalog of environmental, geomorphologic, and socio-economic variables of the Massaciuccoli Lake basin in Tuscany, Italy
Vannini G. L., Coro G., Panichi G.
The catalogue is the result of a process of evaluation, selection and harmonization of environmental, geomorphological and socio-economic data. The data were acquired following the evaluation of FAIR and Open Access principles, from varied sources with heterogeneous spatio-temporal resolutions. The data were then transformed into spatiotemporally aligned datasets and described in a standardised form. The metadata are described in the ISO 19139 standard, in accordance with the INSPIRE directives. The visualisation application integrated in GeoNetwork allows a simple overlay of the data (on first viewing, 'layerExtentZoom' must be selected from the options of the first selected layer). All data are open access.Project(s): Integrated Environmental Research Infrastructures System
Vannini G. L., Coro G., Panichi G.
The catalogue is the result of a process of evaluation, selection and harmonization of environmental, geomorphological and socio-economic data. The data were acquired following the evaluation of FAIR and Open Access principles, from varied sources with heterogeneous spatio-temporal resolutions. The data were then transformed into spatiotemporally aligned datasets and described in a standardised form. The metadata are described in the ISO 19139 standard, in accordance with the INSPIRE directives. The visualisation application integrated in GeoNetwork allows a simple overlay of the data (on first viewing, 'layerExtentZoom' must be selected from the options of the first selected layer). All data are open access.Project(s): Integrated Environmental Research Infrastructures System
See at:
CNR IRIS | services.d4science.org | CNR IRIS
2024
Other
Open Access
Dataset per il Geoportale Nazionale per l'Archeologia - Guida al Data-Viewer
Vannini G. L., Mangiacrapa F., Pagano P., Candela L.
The Dataset for the National Geoportal for Archeology (D4GNA) is a digital platform that allows access and consultation of archaeological data coming from 'Surveys carried out under concession regime (in Italian territory)' and from 'Italian archaeological missions to abroad'. This guide provides the necessary instructions to consult the datasets, navigate the interactive cartography and download the data. To access the D4GNA, you need to connect to the official website https://gna.d4science.org/.DOI: 10.5281/zenodo.12531823
Project(s): ARIADNEplus
Metrics:
Vannini G. L., Mangiacrapa F., Pagano P., Candela L.
The Dataset for the National Geoportal for Archeology (D4GNA) is a digital platform that allows access and consultation of archaeological data coming from 'Surveys carried out under concession regime (in Italian territory)' and from 'Italian archaeological missions to abroad'. This guide provides the necessary instructions to consult the datasets, navigate the interactive cartography and download the data. To access the D4GNA, you need to connect to the official website https://gna.d4science.org/.DOI: 10.5281/zenodo.12531823
Project(s): ARIADNEplus
Metrics:
2024
Other
Open Access
Dataset per il Geoportale Nazionale per l’Archeologia - Guida al sistema D4GNA
Vannini G. L., Mangiacrapa F., Candela L., Pagano P.
The Dataset for the National Geoportal for Archeology (D4GNA) is a digital platform that allows access and consultation of archaeological data coming from 'Surveys carried out under concession regime (in Italian territory)' and from 'Italian archaeological missions to abroad'. This guide provides the necessary instructions for consulting the datasets, navigating the interactive cartography and inserting, modifying or deleting a survey project by excavation concessionaires. To access the D4GNA, it is necessary to connect to the official website https://gna.d4science.org/ and authenticate using credentials provided by the authorized institutions.DOI: 10.5281/zenodo.12530857
Project(s): ARIADNEplus
Metrics:
Vannini G. L., Mangiacrapa F., Candela L., Pagano P.
The Dataset for the National Geoportal for Archeology (D4GNA) is a digital platform that allows access and consultation of archaeological data coming from 'Surveys carried out under concession regime (in Italian territory)' and from 'Italian archaeological missions to abroad'. This guide provides the necessary instructions for consulting the datasets, navigating the interactive cartography and inserting, modifying or deleting a survey project by excavation concessionaires. To access the D4GNA, it is necessary to connect to the official website https://gna.d4science.org/ and authenticate using credentials provided by the authorized institutions.DOI: 10.5281/zenodo.12530857
Project(s): ARIADNEplus
Metrics:
2023
Other
Metadata Only Access
The gCube geoportal platform
Candela L, Cirillo R, Mangiacrapa F, Pagano P, Sinibaldi F, Vannini G L
The gCube Geoportal platform is a component of the gCube open source software system conceived to support the creation and publication of georeferenced research objects, i.e. multi-part and multimedia research objects characterised by geospatial and temporal features. The Geoportal platform enables user communities to fully customise the data model characterising their instance by defining the structure, the content and the workflow of the potential research objects to be managed. `this report carefully describes the technology and documents how it was exploited to serve the development of a national catalogue for archaeological artifacts.DOI: 10.32079/isti-tr-2023/012
Project(s): ARIADNEplus, Blue Cloud
Metrics:
Candela L, Cirillo R, Mangiacrapa F, Pagano P, Sinibaldi F, Vannini G L
The gCube Geoportal platform is a component of the gCube open source software system conceived to support the creation and publication of georeferenced research objects, i.e. multi-part and multimedia research objects characterised by geospatial and temporal features. The Geoportal platform enables user communities to fully customise the data model characterising their instance by defining the structure, the content and the workflow of the potential research objects to be managed. `this report carefully describes the technology and documents how it was exploited to serve the development of a national catalogue for archaeological artifacts.DOI: 10.32079/isti-tr-2023/012
Project(s): ARIADNEplus
, Blue Cloud Metrics:
See at:
CNR IRIS
2023
Other
Metadata Only Access
InfraScience research activity report 2023
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bosio C, Bove P, Calanducci A, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, Ibrahim Ast, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Molinaro E, Pagano P, Panichi G, Paratore Mt, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Vannini Gl
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud, EOSC Future , TAILOR
Metrics:
Artini M, Assante M, Atzori C, Baglioni M, Bardi A, Bosio C, Bove P, Calanducci A, Candela L, Casini G, Castelli D, Cirillo R, Coro G, De Bonis M, Debole F, Dell'Amico A, Frosini L, Ibrahim Ast, La Bruzzo S, Lelii L, Manghi P, Mangiacrapa F, Mangione D, Mannocci A, Molinaro E, Pagano P, Panichi G, Paratore Mt, Pavone G, Piccioli T, Sinibaldi F, Straccia U, Vannini Gl
InfraScience is a research group of the National Research Council of Italy - Institute of Information Science and Technologies (CNR - ISTI) based in Pisa, Italy. This report documents the research activity performed by this group in 2023 to highlight the major results. In particular, the InfraScience group engaged in research challenges characterising Data Infrastructures, e-Science, and Intelligent Systems. The group activity is pursued by closely connecting research and development and by promoting and supporting open science. In fact, the group is leading the development of two large scale infrastructures for Open Science, i.e. D4Science and OpenAIRE. During 2023 InfraScience members contributed to the publishing of several papers, to the research and development activities of several research projects (primarily funded by EU), to the organization of conferences and training events, to several working groups and task forces.DOI: 10.32079/isti-ar-2023/002
Project(s): Blue Cloud
, EOSC Future , TAILOR Metrics:
See at:
CNR IRIS