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Article ; Online: G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements

Joan Maso / Alba Brobia / Marie-Francoise Voidrot / Alaitz Zabala / Ivette Serral

Remote Sensing, Vol 15, Iss 1589, p

First Results in the Context of the Group on Earth Observations

2023 Volume 1589

Abstract: In the field of Earth observation, the importance of in situ data was recognized by the Group on Earth Observations (GEO) in the Canberra Declaration in 2019. The GEO community focuses on three global priority engagement areas: the United Nations 2030 ... ...

Abstract	In the field of Earth observation, the importance of in situ data was recognized by the Group on Earth Observations (GEO) in the Canberra Declaration in 2019. The GEO community focuses on three global priority engagement areas: the United Nations 2030 Agenda for Sustainable Development, the Paris Agreement, and the Sendai Framework for Disaster Risk Reduction. While efforts have been made by GEO to open and disseminate in situ data, GEO did not have a general way to capture in situ data user requirements and drive the data provider efforts to meet the goals of its three global priorities. We present a requirements data model that first formalizes the collection of user requirements motivated by user-driven needs. Then, the user requirements can be grouped by essential variable and an analysis can derive product requirements and parameters for new or existing products. The work was inspired by thematic initiatives, such as OSCAR, from WMO, OSAAP (formerly COURL and NOSA) from NOAA, and the Copernicus In Situ Component Information System. The presented solution focuses on requirements for all applications of Earth observation in situ data. We present initial developments and testing of the data model and discuss the steps that GEO should take to implement a requirements database that is connected to actual data in the GEOSS platform and propose some recommendations on how to articulate it.
Keywords	in situ ; requirements ; datasets ; Earth observations ; Group on Earth Observations ; Science ; Q
Subject code	710
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Geospatial Queries on Data Collection Using a Common Provenance Model

Guillem Closa / Joan Masó / Núria Julià / Xavier Pons

ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p

2021 Volume 139

Abstract: Lineage information is the part of the metadata that describes “what”, “when”, “who”, “how”, and “where” geospatial data were generated. If it is well-presented and queryable, lineage becomes very useful information for inferring data quality, tracing ... ...

Abstract	Lineage information is the part of the metadata that describes “what”, “when”, “who”, “how”, and “where” geospatial data were generated. If it is well-presented and queryable, lineage becomes very useful information for inferring data quality, tracing error sources and increasing trust in geospatial information. In addition, if the lineage of a collection of datasets can be related and presented together, datasets, process chains, and methodologies can be compared. This paper proposes extending process step lineage descriptions into four explicit levels of abstraction (process run, tool, algorithm and functionality). Including functionalities and algorithm descriptions as a part of lineage provides high-level information that is independent from the details of the software used. Therefore, it is possible to transform lineage metadata that is initially documenting specific processing steps into a reusable workflow that describes a set of operations as a processing chain. This paper presents a system that provides lineage information as a service in a distributed environment. The system is complemented by an integrated provenance web application that is capable of visualizing and querying a provenance graph that is composed by the lineage of a collection of datasets. The International Organization for Standardization (ISO) 19115 standards family with World Wide Web Consortium (W3C) provenance initiative (W3C PROV) were combined in order to integrate provenance of a collection of datasets. To represent lineage elements, the ISO 19115-2 lineage class names were chosen, because they express the names of the geospatial objects that are involved more precisely. The relationship naming conventions of W3C PROV are used to represent relationships among these elements. The elements and relationships are presented in a queryable graph.
Keywords	provenance ; lineage ; graph ; data queries ; metadata ; Geography (General) ; G1-922
Subject code	020
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Protected Areas from Space Map Browser with Fast Visualization and Analytical Operations on the Fly. Characterizing Statistical Uncertainties and Balancing Them with Visual Perception

Joan Masó / Alaitz Zabala / Xavier Pons

ISPRS International Journal of Geo-Information, Vol 9, Iss 300, p

2020 Volume 300

Abstract: Despite huge progress in applying Earth Observation (EO) satellite data to protected areas, managers still lack the right tools or skills to analyze the data and extract the necessary knowledge. In this paper a set of EO products are organized in a ... ...

Abstract	Despite huge progress in applying Earth Observation (EO) satellite data to protected areas, managers still lack the right tools or skills to analyze the data and extract the necessary knowledge. In this paper a set of EO products are organized in a visualization and analysis map browser that lowers usage barriers and provides functionalities comparable to raster-based GIS. Normally, web map servers provide maps as pictorial representations at screen resolution. The proposal is to use binary arrays with actual values, empowering the JavaScript web client to operate with the data in many ways. Thanks to this approach, the user can analyze big data by performing queries and spatial filters, changing image contrast or color palettes or creating histograms, time series profiles and complex calculations. Since the analysis is made at screen resolution, it minimizes bandwidth while maintaining visual quality. The paper explores the limitations of the approach and quantifies the statistical validity of some resampling methods that provide different visual perceptions. The results demonstrate that the methods known for having good visual perception, the mode for categorical values and the median for continuous values, have admissible statistical uncertainties.
Keywords	web mapping ; GIS analytics ; statistics ; generalization ; remote sensing ; protected areas ; Geography (General) ; G1-922
Language	English
Publishing date	2020-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Geospatial User Feedback

Alaitz Zabala / Joan Masó / Lucy Bastin / Gregory Giuliani / Xavier Pons

ISPRS International Journal of Geo-Information, Vol 10, Iss 3, p

How to Raise Users’ Voices and Collectively Build Knowledge at the Same Time

2021 Volume 141

Abstract: Geospatial data is used not only to contemplate reality but also, in combination with analytical tools, to generate new information that requires interpretation. In this process data users gain knowledge about the data and its limitations (the user side ... ...

Abstract	Geospatial data is used not only to contemplate reality but also, in combination with analytical tools, to generate new information that requires interpretation. In this process data users gain knowledge about the data and its limitations (the user side of data quality) as well as knowledge on the status and evolutions of the studied phenomena. Knowledge can be annotations on top of the data, responses to questions, a careful description of the processes applied, a piece of software code or scripts applied to the data, usage reports or a complete scientific paper. This paper proposes an extension of the current Open Geospatial Consortium standard for Geospatial User Feedback to include the required knowledge elements, and a practical implementation. The system can incrementally collect, store, and communicate knowledge elements created by users of the data and keep them linked to the original data by means of permanent data identifiers. The system implements a Web API to manage feedback items as a frontend to a database. The paper demonstrates how a JavaScript widget accessing this API as a client can be easily integrated into existing data catalogues, such as the ECOPotential web service or the GEOEssential data catalogue, to collectively collect and share knowledge.
Keywords	user feedback ; metadata ; knowledge ; annotations ; geospatial data ; Geography (General) ; G1-922
Subject code	020
Language	English
Publishing date	2021-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A Portal Offering Standard Visualization and Analysis on top of an Open Data Cube for Sub-National Regions

Joan Maso / Alaitz Zabala / Ivette Serral / Xavier Pons

Data, Vol 4, Iss 3, p

The Catalan Data Cube Example

2019 Volume 96

Abstract: The amount of data that Sentinel fleet is generating over a territory such as Catalonia makes it virtually impossible to manually download and organize as files. The Open Data Cube (ODC) offers a solution for storing big data products in an efficient way ...

Abstract	The amount of data that Sentinel fleet is generating over a territory such as Catalonia makes it virtually impossible to manually download and organize as files. The Open Data Cube (ODC) offers a solution for storing big data products in an efficient way with a modest hardware and avoiding cloud expenses. The approach will still be useful up to the next decade. Yet, ODC requires a level of expertise that most people who could benefit from the information do not have. This paper presents a web map browser that gives access to the data and goes beyond a simple visualization by combining the OGC WMS standard with modern web browser capabilities to incorporate time series analytics. This paper shows how we have applied this tool to analyze the spatial distribution of the availability of Sentinel 2 data over Catalonia and revealing differences in the number of useful scenes depending on the geographical area that ranges from one or two images per month to more than one image per week. The paper also demonstrates the usefulness of the same approach in giving access to remote sensing information to a set of protected areas around Europe participating in the H2020 ECOPotential project.
Keywords	Open Data Cube ; Earth Observations ; interoperability ; visualization ; Sentinel ; Analysis Ready Data ; Bibliography. Library science. Information resources ; Z
Subject code	306
Language	English
Publishing date	2019-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Paving the Way to Increased Interoperability of Earth Observations Data Cubes

Gregory Giuliani / Joan Masó / Paolo Mazzetti / Stefano Nativi / Alaitz Zabala

Data, Vol 4, Iss 3, p

2019 Volume 113

Abstract: Earth observations data cubes (EODCs) are a paradigm transforming the way users interact with large spatio-temporal Earth observation (EO) data. It enhances connections between data, applications and users facilitating management, access and use of ... ...

Abstract	Earth observations data cubes (EODCs) are a paradigm transforming the way users interact with large spatio-temporal Earth observation (EO) data. It enhances connections between data, applications and users facilitating management, access and use of analysis ready data (ARD). The ambition is allowing users to harness big EO data at a minimum cost and effort. This significant interest is illustrated by various implementations that exist. The novelty of the approach results in different innovative solutions and the lack of commonly agreed definition of EODC. Consequently, their interoperability has been recognized as a major challenge for the global change and Earth system science domains. The objective of this paper is preventing EODC from becoming silos of information; to present how interoperability can be enabled using widely-adopted geospatial standards; and to contribute to the debate of enhanced interoperability of EODC. We demonstrate how standards can be used, profiled and enriched to pave the way to increased interoperability of EODC and can help delivering and leveraging the power of EO data building, efficient discovery, access and processing services.
Keywords	Open Data Cube ; remote sensing ; geospatial standards ; landsat ; sentinel ; analysis ready data ; Bibliography. Library science. Information resources ; Z
Subject code	020
Language	English
Publishing date	2019-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: The science-policy interfaces of the European network for observing our changing planet: From Earth Observation data to policy-oriented decisions

Pirrone, Nicola / Mazzetti, Paolo / Cinnirella, Sergio / Athanasopoulou, Eleni / Gerasopoulos, Evangelos / Klánová, Jana / Lehmann, Anthony / Pau, Joan Masó / Petäjä, Tuukka / Pokorný, Lukáš / Šebková, Kateřina

Environmental science & policy. 2022 Nov., v. 137

2022

Abstract: This paper reports on major outcomes of the ERA-PLANET (The European network for observing our changing planet) project, which was funded under Horizon 2020 ERA-net co-funding scheme. ERA-PLANET strengthened the European Research Area in the domain of ... ...

Abstract	This paper reports on major outcomes of the ERA-PLANET (The European network for observing our changing planet) project, which was funded under Horizon 2020 ERA-net co-funding scheme. ERA-PLANET strengthened the European Research Area in the domain of Earth Observation (EO) in coherence with the European participation to Group on Earth Observation and the Copernicus European Union’s Earth Observation programme. ERA-PLANET was implemented through four projects focused on smart cities and resilient societies (SMURBS), resource efficiency and environmental management (GEOEssential), global changes and environmental treaties (iGOSP) and polar areas and natural resources (iCUPE). These projects developed specific science-policy workflows and interfaces to address selected environmental policy issues and design cost-effective strategies aiming to achieve targeted objectives. Key Enabling Technologies were implemented to enhancing ‘data to knowledge’ transition for supporting environmental policy making. Data cube technologies, the Virtual Earth Laboratory, Earth Observation ontologies and Knowledge Platforms were developed and used for such applications. SMURBS brought a substantial contribution to resilient cities and human settlements topics that were adopted by GEO as its 4th engagement priority, bringing the urban resilience topic in the GEO agenda on par with climate change, sustainable development and disaster risk reduction linked to environmental policies. GEOEssential is contributing to the development of Essential Variables (EVs) concept, which is encouraging and should allow the EO community to complete the description of the Earth System with EVs in a close future. This will clearly improve our capacity to address intertwined environmental and development policies as a Nexus. iGOSP supports the implementation of the GEO Flagship on Mercury (GOS⁴M) and the GEO Initiative on POPs (GOS⁴POPs) by developing a new integrated approach for global real-time monitoring of environmental quality with respect to air, water and human matrices contamination by toxic substances, like mercury and persistent organic pollutants. iGOSP developed end-user-oriented Knowledge Hubs that provide data repository systems integrated with data management consoles and knowledge information systems. The main outcomes from iCUPE are the novel and comprehensive data sets and a modelling activity that contributed to delivering science-based insights for the Arctic region. Applications enable defining and monitoring of Arctic Essential Variables and sets up processes towards UN2030 SDGs that include health (SDG 3), clean water resources and sanitation (SDGs 6 and 14).
Keywords	European Union ; air ; climate change ; cost effectiveness ; environmental management ; environmental policy ; environmental quality ; humans ; information management ; mercury ; risk reduction ; sanitation ; sustainable development ; toxicity ; Arctic region
Language	English
Dates of publication	2022-11
Size	p. 359-372.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	1454687-5
ISSN	1462-9011
ISSN	1462-9011
DOI	10.1016/j.envsci.2022.09.006
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: An Analysis of Existing Production Frameworks for Statistical and Geographic Information

Francisco Javier Ariza-López / Antonio Rodríguez-Pascual / Francisco J. Lopez-Pellicer / Luis M. Vilches-Blázquez / Agustín Villar-Iglesias / Joan Masó / Efrén Díaz-Díaz / Manuel Antonio Ureña-Cámara / Alberto González-Yanes

ISPRS International Journal of Geo-Information, Vol 10, Iss 374, p

Synergies, Gaps and Integration

2021 Volume 374

Abstract: The production of official statistical and geospatial data is often in the hands of highly specialized public agencies that have traditionally followed their own paths and established their own production frameworks. In this article, we present the main ... ...

Abstract	The production of official statistical and geospatial data is often in the hands of highly specialized public agencies that have traditionally followed their own paths and established their own production frameworks. In this article, we present the main frameworks of these two areas and focus on the possibility and need to achieve a better integration between them through the interoperability of systems, processes, and data. The statistical area is well led and has well-defined frameworks. The geospatial area does not have clear leadership and the large number of standards establish a framework that is not always obvious. On the other hand, the lack of a general and common legal framework is also highlighted. Additionally, three examples are offered: the first is the application of the spatial data quality model to the case of statistical data, the second of the application of the statistical process model to the geospatial case, and the third is the use of linked geospatial and statistical data. These examples demonstrate the possibility of transferring experiences/advances from one area to another. In this way, we emphasize the conceptual proximity of these two areas, highlighting synergies, gaps, and potential integration.
Keywords	geospatial information ; statistical data ; framework ; interoperability ; Geography (General) ; G1-922
Subject code	310
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: BESTMAP

Guy Ziv / Michael Beckmann / James Bullock / Anna Cord / Ruth Delzeit / Cristina Domingo / Gunnar Dreßler / Nina Hagemann / Joan Masó / Birgit Müller / Markus Neteler / Anna Sapundzhieva / Pavel Stoev / Jon Stenning / Milica Trajković / Tomáš Václavík

Research Ideas and Outcomes, Vol 6, Iss , Pp 1-

behavioural, Ecological and Socio-economic Tools for Modelling Agricultural Policy

2020 Volume 48

Abstract: Half of the European Union (EU) land and the livelihood of 10 million farmers is threatened by unsustainable land-use intensification, land abandonment and climate change. Policy instruments, including the EU Common Agricultural Policy (CAP) have so far ... ...

Abstract	Half of the European Union (EU) land and the livelihood of 10 million farmers is threatened by unsustainable land-use intensification, land abandonment and climate change. Policy instruments, including the EU Common Agricultural Policy (CAP) have so far failed to stop this environmental degradation. BESTMAP will: 1) Develop a behavioural theoretical modelling framework to take into account complexity of farmers’ decision-making; 2) Develop, adapt and customize a suite of opensource, flexible, interoperable and customisable computer models linked to existing data e.g. LPIS/IACS and remote sensing e.g. Sentinel-2; 3) Link economic, individual-farm agent-based, biophysical ecosystem services and biodiversity and geostatistical socio-economic models; 4) Produce a simple-to-use dashboard to compare scenarios of Agri-Environmental Schemes adoption; 5) Improve the effectiveness of future EU rural policies’ design, monitoring and implementation.
Keywords	Behavioral change theory ; ecosystem services ; agri ; Science ; Q
Language	English
Publishing date	2020-03-01T00:00:00Z
Publisher	Pensoft Publishers
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Exchanging the Status between Clients of Geospatial Web Services and GIS applications using Atom

Joan Maso / Paula Diaz / Anna Riverola / Daniel Diaz / Xavier Pons

Lecture Notes in Engineering and Computer Science, Vol 2202, Iss 1, Pp 385-

2013 Volume 390

Keywords	Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q
Language	English
Publishing date	2013-03-01T00:00:00Z
Publisher	International Association of Engineers
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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