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Article ; Online: Evaluation of post-natal angiogenesis in a mouse hind limb ischemia model

Cristina Arce Recatalá / Mattia Albiero / Massimo Mattia Santoro

STAR Protocols, Vol 4, Iss 2, Pp 102232- (2023)

2023

Abstract: Summary: Hind limb ischemia is a useful model to assess metabolic and cellular responses. Here, we present a protocol for evaluating post-natal angiogenesis in a mouse hind limb ischemia model. We describe steps to induce a severe restriction of blood ... ...

Abstract	Summary: Hind limb ischemia is a useful model to assess metabolic and cellular responses. Here, we present a protocol for evaluating post-natal angiogenesis in a mouse hind limb ischemia model. We describe steps to induce a severe restriction of blood supply of the femoral artery and vein that mimics the real-life scenario observed in clinical settings. We then detail procedures for follow-up laser Doppler imaging to compare post-ischemic responses of four different mouse strains in their capacity to trigger compensatory arteriogenesis.For complete details on the use and execution of this protocol, please refer to Oberkersch et al. (2022).1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Keywords	Health Sciences ; Metabolism ; Microscopy ; Model Organisms ; Science (General) ; Q1-390
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: APIs for EU Governments

Lorenzino Vaccari / Monica Posada / Mark Boyd / Mattia Santoro

Data, Vol 6, Iss 59, p

A Landscape Analysis on Policy Instruments, Standards, Strategies and Best Practices

2021 Volume 59

Abstract: Application Programming Interfaces (APIs) could greatly facilitate the exchange of data and functionalities between software applications in a flexible, controlled and secure way, especially on the web. Private companies, from startups to enterprises, ... ...

Abstract	Application Programming Interfaces (APIs) could greatly facilitate the exchange of data and functionalities between software applications in a flexible, controlled and secure way, especially on the web. Private companies, from startups to enterprises, have been using APIs for several years now, but it is only recently that APIs have seen increased interest in the public sector. API adoption in the public sector faces organisational, technical, legal and economic obstacles, and to overcome these barriers, proposed methods from the private sector and early adopters in the public sector provide a way forward. The available documentation is often sparse, difficult to find and to reuse for new contexts. No past efforts to collect and analyse these resources have been made. To address this shortcoming, this paper describes a landscape analysis in four areas: the main European Commission policy instruments on the adoption of APIs, the available web API standards, a set of European government API strategies and cases, and a list of government proposed methods distilled from more than 3900 documents. Our results reveal that European policy legislation and associated instruments promote, and in some cases mandate, the use of APIs, and that governments’ API strategies in the European Union are rather young but also that there are well known web APIs standards and proposed methods ready to support the digital transformation of governments through rapid, harmonised and successful adoption of APIs.
Keywords	digital government ; eGovernment ; Application Programming Interface ; API ; interoperability ; Digital Single Market ; Bibliography. Library science. Information resources ; Z
Subject code	020
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Publishing NextGEOSS data on the GEOSS Platform

Roberto Roncella / Enrico Boldrini / Mattia Santoro / Paolo Mazzetti / João Andrade / Nuno Catarino / Stefano Nativi

Big Earth Data, Vol 7, Iss 2, Pp 413-

2023 Volume 427

Abstract: ABSTRACTThis paper is the second of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform was created as the technological tool to implement interoperability among the Global Earth ... ...

Abstract	ABSTRACTThis paper is the second of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform was created as the technological tool to implement interoperability among the Global Earth Observation System of Systems (GEOSS); it is a brokering infrastructure that presently brokers more than 190 autonomous data catalogs and information systems. This paper is focused on the analysis of the NextGEOSS datasets describing the data publishing process from NextGEOSS to the GEOSS platform. In particular, both the administrative registration and the technical registration were taken into consideration. One of the most important data shared by the GEOSS Platform are the NextGEOSS datasets: the present study provides some insights in terms of GEOSS user searches for NextGEOSS data.
Keywords	Earth observation ; GEOSS ; data interoperability ; data sharing ; data brokering services ; Geography. Anthropology. Recreation ; G ; Geology ; QE1-996.5
Subject code	020
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Publishing China satellite data on the GEOSS Platform

Roberto Roncella / Lianchong Zhang / Enrico Boldrini / Mattia Santoro / Paolo Mazzetti / Stefano Nativi

Big Earth Data, Vol 7, Iss 2, Pp 398-

2023 Volume 412

Abstract: ABSTRACTThis paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation ... ...

Abstract	ABSTRACTThis paper is the first of a series that describes some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform has been created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS); it is a brokering infrastructure that presently brokers more than 190 autonomous data catalogs and information systems. The paper analyses the China Satellite datasets and describes the data publishing process from China GEOSS Data Provider to the GEOSS Platform considering both administrative registration as well as the technical registration. The China Satellite datasets are considered as one of the most important satellite data shared by the GEOSS Platform. The analysis provides some insights as well about GEOSS user searches for China Satellite datasets.
Keywords	GEOSS ; data interoperability ; data sharing ; satellite data ; Earth observation ; Geography. Anthropology. Recreation ; G ; Geology ; QE1-996.5
Subject code	020
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Publishing Eurac Research data on the GEOSS Platform

Roberto Roncella / Bartolomeo Ventura / Andrea Vianello / Enrico Boldrini / Mattia Santoro / Paolo Mazzetti / Stefano Nativi

Big Earth Data, Vol 7, Iss 2, Pp 428-

2023 Volume 450

Abstract: ABSTRACTThis paper is the third of a series that introduces some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform is a brokering infrastructure that brokers more than 190 autonomous information systems and ... ...

Abstract	ABSTRACTThis paper is the third of a series that introduces some of the main dataset resources presently shared through the GEOSS Platform. The GEOSS Platform is a brokering infrastructure that brokers more than 190 autonomous information systems and data catalogs; it was created to provide the technological tool to implement the Global Earth Observation System of Systems (GEOSS). This manuscript focuses on the analysis of Eurac Research datasets and illustrates the data publishing process to enroll the Eurac Research Data Provider to the GEOSS Platform through the administrative and technical registrations. The study provides an analysis of the GEOSS user searches for Eurac Research data in order to understand the main use of datasets of an important Data Provider.
Keywords	GEOSS ; data interoperability ; data sharing ; Eurac Research ; Earth observation ; Geography. Anthropology. Recreation ; G ; Geology ; QE1-996.5
Language	English
Publishing date	2023-04-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The VLab Framework

Mattia Santoro / Paolo Mazzetti / Stefano Nativi

Remote Sensing, Vol 12, Iss 1795, p

An Orchestrator Component to Support Data to Knowledge Transition

2020 Volume 1795

Abstract: Over the last decades, to better proceed towards global and local policy goals, there was an increasing demand for the scientific community to support decision-makers with the best available knowledge. Scientific modeling is key to enable the transition ... ...

Abstract	Over the last decades, to better proceed towards global and local policy goals, there was an increasing demand for the scientific community to support decision-makers with the best available knowledge. Scientific modeling is key to enable the transition from data to knowledge, often requiring to process big datasets through complex physical or empirical (learning-based AI) models. Although cloud technologies provide valuable solutions for addressing several of the Big Earth Data challenges, model sharing is still a complex task. The usual approach of sharing models as services requires maintaining a scalable infrastructure which is often a very high barrier for potential model providers. This paper describes the Virtual Earth Laboratory (VLab), a software framework orchestrating data and model access to implement scientific processes for knowledge generation. The VLab lowers the entry barriers for both developers and users. It adopts mature containerization technologies to access models as source code and to rebuild the required software environment to run them on any supported cloud. This makes VLab fitting in the multi-cloud landscape, which is going to characterize the Big Earth Data analytics domain in the next years. The VLab functionalities are accessible through APIs, enabling developers to create new applications tailored to end-users.
Keywords	virtual earth laboratory ; orchestration ; data to knowledge ; environmental modeling ; interoperability ; geospatial technology ; Science ; Q
Subject code	690
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Monitoring land degradation at national level using satellite Earth Observation time-series data to support SDG15 – exploring the potential of data cube

Gregory Giuliani / Bruno Chatenoux / Antonio Benvenuti / Pierre Lacroix / Mattia Santoro / Paolo Mazzetti

Big Earth Data, Vol 4, Iss 1, Pp 3-

2020 Volume 22

Abstract: Avoiding, reducing, and reversing land degradation and restoring degraded land is an urgent priority to protect the biodiversity and ecosystem services that are vital to life on Earth. To halt and reverse the current trends in land degradation, there is ... ...

Abstract	Avoiding, reducing, and reversing land degradation and restoring degraded land is an urgent priority to protect the biodiversity and ecosystem services that are vital to life on Earth. To halt and reverse the current trends in land degradation, there is an immediate need to enhance national capacities to undertake quantitative assessments and mapping of their degraded lands, as required by the Sustainable Development Goals (SDGs), in particular, the SDG indicator 15.3.1 (“proportion of land that is degraded over total land area”). Earth Observations (EO) can play an important role both for generating this indicator as well as complementing or enhancing national official data sources. Implementations like Trends.Earth to monitor land degradation in accordance with the SDG15.3.1 rely on default datasets of coarse spatial resolution provided by MODIS or AVHRR. Consequently, there is a need to develop methodologies to benefit from medium to high-resolution satellite EO data (e.g. Landsat or Sentinels). In response to this issue, this paper presents an initial overview of an innovative approach to monitor land degradation at the national scale in compliance with the SDG15.3.1 indicator using Landsat observations using a data cube but further work is required to improve the calculation of the three sub-indicators.
Keywords	land degradation ; sustainable development goals ; open data cube ; landsat ; sentinel-2 ; sdg15.3.1 ; Geography. Anthropology. Recreation ; G ; Geology ; QE1-996.5
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds

Chiara Richiardi / Palma Blonda / Fabio Michele Rana / Mattia Santoro / Cristina Tarantino / Saverio Vicario / Maria Adamo

Remote Sensing, Vol 13, Iss 1957, p

A Case Study in Gran Paradiso National Park

2021 Volume 1957

Abstract: Snow cover plays an important role in biotic and abiotic environmental processes, as well as human activities, on both regional and global scales. Due to the difficulty of in situ data collection in vast and inaccessible areas, the use of optical ... ...

Abstract	Snow cover plays an important role in biotic and abiotic environmental processes, as well as human activities, on both regional and global scales. Due to the difficulty of in situ data collection in vast and inaccessible areas, the use of optical satellite imagery represents a useful support for snow cover mapping. At present, several operational snow cover algorithms and products are available. Even though most of them offer an up-to-daily time scale, they do not provide sufficient spatial resolution for studies requiring high spatial detail. By contrast, the Let-It-Snow (LIS) algorithm can produce high-resolution snow cover maps, based on the use of both the normalized-difference snow index (NDSI) and a digital elevation model. The latter is introduced to define a threshold value on the altitude, below which the presence of snow is excluded. In this study, we revised the LIS algorithm by introducing a new parameter, based on a threshold in the shortwave infrared (SWIR) band, and by modifying the overall algorithm workflow, such that the cloud mask selection can be used as an input. The revised algorithm has been applied to a case study in Gran Paradiso National Park. Unlike previous studies, we also compared the performance of both the original and the modified algorithms in the presence of cloud cover, in order to evaluate their effectiveness in discriminating between snow and clouds. Ground data collected by meteorological stations equipped with both snow gauges and solarimeters were used for validation purposes. The changes introduced in the revised algorithm can improve upon the overall classification accuracy obtained by the original LIS algorithm (i.e., up to 89.17 from 80.88%). The producer’s and user’s accuracy values obtained by the modified algorithm (89.12 and 95.03%, respectively) were larger than those obtained by the original algorithm (76.68 and 93.67%, respectively), thus providing a more accurate snow cover map.
Keywords	snow cover ; NDSI ; Sentinel-2 ; algorithm ; snow/cloud classification ; Science ; Q
Subject code	006
Language	English
Publishing date	2021-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Architecture of a Process Broker for Interoperable Geospatial Modeling on the Web

Lorenzo Bigagli / Mattia Santoro / Paolo Mazzetti / Stefano Nativi

ISPRS International Journal of Geo-Information, Vol 4, Iss 2, Pp 647-

2015 Volume 660

Abstract: The identification of appropriate mechanisms for process sharing and reuse by means of composition is considered a key enabler for the effective uptake of a global Earth Observation infrastructure, currently pursued by the international geospatial ... ...

Abstract	The identification of appropriate mechanisms for process sharing and reuse by means of composition is considered a key enabler for the effective uptake of a global Earth Observation infrastructure, currently pursued by the international geospatial research community. Modelers in need of running complex workflows may benefit from outsourcing process composition to a dedicated external service, according to the brokering approach. This work introduces our architecture of a process broker, as a distributed information system for creating, validating, editing, storing, publishing and executing geospatial-modeling workflows. The broker provides a service framework for adaptation, reuse and complementation of existing processing resources (including models and geospatial services in general) in the form of interoperable, executable workflows. The described solution has been experimentally applied in several use scenarios in the context of EU-funded projects and the Global Earth Observation System of Systems.
Keywords	model web ; brokering ; processing services ; mediation ; service composition ; geographic information systems ; spatial data infrastructures ; Geography (General) ; G1-922
Subject code	020
Language	English
Publishing date	2015-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Knowledge generation using satellite earth observations to support sustainable development goals (SDG)

Gregory Giuliani / Paolo Mazzetti / Mattia Santoro / Stefano Nativi / Joost Van Bemmelen / Guido Colangeli / Anthony Lehmann

International Journal of Applied Earth Observations and Geoinformation, Vol 88, Iss , Pp 102068- (2020)

A use case on Land degradation

2020

Abstract: Land degradation is a critical issue globally requiring immediate actions for protecting biodiversity and associated services provided by ecosystems that are supporting human quality of life. The latest Intergovernmental Science-Policy Platform on ... ...

Abstract	Land degradation is a critical issue globally requiring immediate actions for protecting biodiversity and associated services provided by ecosystems that are supporting human quality of life. The latest Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services Landmark Assessment Report highlighted that human activities are considerably degrading land and threating the well-being of approximately 3.2 billion people.In order to reduce and ideally reverse this prevailing situation, national capacities should be strengthened to enable effective assessments and mapping of their degraded lands as recommended by the United Nations Sustainable Development Goals (SDGs). The indicator 15.3.1 (“proportion of land that is degraded over total land area”) requires regular data production by countries to inform and assess it through space and time. Earth Observations (EO) can play an important role both for generating the indicator in countries where it is missing, as well complementing or enhancing national official data sources.In response to this issue, this paper presents an innovative, scalable and flexible approach to monitor land degradation at various scales (e.g., national, regional, global) using various components of the Global Earth Observation System of Systems (GEOSS) platform to leverage EO resources for informing SDG 15.3.1. The proposed approach follows the Data-Information-Knowledge pattern using the Trends.Earth model (http://trends.earth) and various data sources to generate the indicator. It also implements additional components for model execution and orchestration, knowledge management, and visualization.The proposed approach has been successfully applied at global, regional and national scales and advances the vision of (1) establishing data analytics platforms that can potentially support countries to discover, access and use the necessary datasets to assess land degradation; and (2) developing new capacities to effectively and efficiently use EO-based resources.
Keywords	Land degradation ; Sustainable development goal ; Knowledge ; Earth observations ; VLab ; GEOSS ; Physical geography ; GB3-5030 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2020-06-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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