Joan Masó

Centre for Research on Ecology and Forestry Applications | CREAF

Data spaces are conceptualised as a trusted and secure distributed data ecosystem through which to exchange resources in the Web. Several efforts define guidance toward data space implementation, such as reference architectures and frameworks. As yet, the proposed data space solutions do not provide common and mature implementation options yet, and...

According to the European Data Strategy established in 2020, the European Open Science Cloud (EOSC) is described as “the basis for a science, research and innovation data space… and will be connected and articulated with the sectoral data spaces”, being one of the 14 European Common Data Spaces. While current cross-sectoral interactions with the EO...

Abstract and full text available at https://geofocus.org/index.php/geofocus/article/view/862/554

Data spaces are a relatively recent concept for a trusted and secure distributed data ecosystem through which to exchange resources in the Web. Several different efforts are currently being made to define guidance toward data space implementation, with some initiatives and organizations providing solutions and standards that address interoperabilit...

As part of the European Data Strategy, the European Commission is working on common European data spaces, including a Green Deal Data Space (GDDS) that covers issues such as climate change, circular economy, pollution, biodiversity, and deforestation. The successful development of the EU GDDS will depend on the availability of FAIR (findable, acces...

Dashboards for data visualisation and decision-making are information management tools that visually display, analyse and provide metrics of data, for better decisions and understanding improvement.Dashboards provide critical reporting of spatialised data and associated metrics information and are essential for displaying model results, guiding dec...

This deliverable provides a General Framework for the BESTMAP Policy Impact Assessment Modelling (BESTMAP-PIAM) toolset. An update of the framework will be provided later in the project in Deliverable 2.4. The BESTMAP-PIAM is based on the notion of defining (a) a typology of agricultural systems, with one (or more) representative case study (CS) in...

In 2015, the United Nations adopted the 17 Sustainable Development Goals (SDGs), aiming at ending poverty, protecting the planet, and ensuring peace and prosperity [...]

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 Ris...

The objective of this report is to encourage each GEO community to share, improve or start their developments on EVs and to adopt a coherent common framework. Experts from every GEO Societal Benefit Areas (SBAs) describe the level of development of EVs in their field. The relationship with transversal policy needs is analyzed from different angles....

Phenology observations are essential indicators to characterize the local effects of climate change. Citizen participation in the collection of phenological observations is a potential approach to provide data at both high temporal scale and fine grain resolution. Traditional observation practices of citizen science, although precise at the species...

Several holistic approaches are based on the description of socio-ecological systems to address the sustainability challenge. Essential Variables (EVs) have the potential to support these approaches by describing the status of the Earth system through monitoring and modeling. The different classes of EVs can be organized along the environmental pol...

This deliverable provides a General Framework for the BESTMAP Policy Impact Assessment Modelling (BESTMAP-PIAM) toolset. The BESTMAP-PIAM is based on the notion of defining (a) a typology of agricultural systems, with one (or more) representative case study (CS) in each major system; (b) mapping all individual farms within the case study to a Farm...

WeObserve delivered the first European-wide Citizen Observatory (CO) knowledge platform to share best practices, to address challenges and to inform practitioners, policy makers and funders of COs. We present key insights from WeObserve activities into leveraging challenges to create interlinked solutions, connecting with international frameworks a...

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 integrat...

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 col...

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. Kno...

The UN Sustainable Development Goals (SDGs) are a vision for achieving a sustainable future. Reliable, timely, comprehensive, and consistent data are critical for measuring progress towards, and ultimately achieving, the SDGs. Data from citizen science represent one new source of data that could be used for SDG reporting and monitoring. However, in...

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 compar...

Given the circumstance that the process for the revision of the international standard ISO 19157 is currently open, this article presents a critical reflection on its content, application and some challenges posed by the new types of data (e.g. big data, BIM data, etc.), that also have a geospatial component and to which, therefore, this internatio...

Given the circumstance that the process for the revision of the international standard ISO 19157 is currently open, this article presents a critical reflection on its content, application and some challenges posed by the new types of data (e.g. big data, BIM data, etc.), that also have a geospatial component and to which, therefore, this internatio...

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 theoretica...

Measuring the achievement of a sustainable development requires the integration of various data sets and disciplines describing bio-physical and socioeconomic conditions. These data allow characterizing any location on Earth, assessing the status of the environment at various scales (e.g. national, regional, global), understanding interactions betw...

Auditing Remote Sensing (RS) data can be a tough task due to the huge heterogeneity of RS data and geoprocessing tools available. In this sense, provenance information, part of the metadata that describes "what", "when", "who", "how" and "where" have generated a particular geospatial data, can be very useful. This contribution focuses on how to que...

Traditional data sources are not sufficient for measuring the United Nations Sustainable Development Goals. New and non-traditional sources of data are required. Citizen science is an emerging example of a non-traditional data source that is already making a contribution. In this Perspective, we present a roadmap that outlines how citizen science c...

Advances in technology and the proliferation of data are providing new opportunities for monitoring and tracking the progress of the United Nations (UN) Sustainable Development Goals (SDGs) 1. As the latest framework for assessing and monitoring the alleviation of poverty, inequalities and environmental degradation, progress on meeting the 17 SDGs...

Resumen: Analizar y evaluar el origen de los datos de teledetección puede ser una tarea difícil debido a la gran heterogeneidad de datos y herramientas de geoprocesamiento hoy en día disponibles. A pesar de esta dificultad, la información del linaje geoespacial, parte de los metadatos que describen el "qué", el "cuándo", el "quién", el "cómo" y el...

ECOPOTENTIAL is a large European-funded H2020 project that focuses its activities on a targeted set of internationally recognised Protected Areas, blending Earth Observations from remote sensing and field measurements, data analysis and modelling of current and future ecosystem conditions and services. ECOPOTENTIAL considers cross-scale geosphere-b...

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...

Nowadays, there are still some gaps in the description of provenance metadata. These gaps prevent the capture of comprehensive provenance, useful for reuse and reproducibility. In addition, the lack of automated tools for capturing provenance hinders the broad generation and compilation of provenance information. This work presents a provenance eng...

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 an...

There is a growing recognition of the interdependencies among the supply systems that rely upon food, water and energy. Billions of people lack safe and sufficient access to these systems, coupled with a rapidly growing global demand and increasing resource constraints. Modeling frameworks are considered one of the few means available to understand...

The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet’s ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing...

The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet's ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing...

When defining indicators on the environment, the use of existing initiatives should be a priority rather than redefining indicators each time. From an Information, Communication and Technology perspective, data interoperability and standardization are critical to improve data access and exchange as promoted by the Group on Earth Observations. GEOEs...

In recent years, researchers of different communities have increased their efforts in formalizing a set of measurements regularly collected for analysing changes in Drivers, States, Impacts and Responses of a given discipline. In some cases, different actors have converged in a minimum set of Essential Variables (EVs), such as for Climate, Biodiver...

This chapter describes how, beginning in the 1990s, the information technology (IT) industry moved into a new paradigm based on widespread networking of computers. This new paradigm forced map production and geoinformation management system providers and users to adapt accordingly. Widespread networking of computers brings the opportunity for wides...

Map browsers currently in place present maps and geospatial information using common image formats such as JPEG or PNG, usually created from a service on demand. This is a clear approach for a simple visualization map browser but prevents the browser from modifying the visualization since the content of the image file represents the intensity of co...

Current map viewers that run on modern web browsers are mainly requesting images generated on the fly in the server side and transferred in pictorial format that they can display (PNG or JPEG). In OGC WMS standard this is done for the whole map view while in WMTS is done per tiles. The user cannot fine tune personalized visualization or data analys...

Para avanzar en la comprensión de la influencia antrópica sobre el cambio global, el hecho de disponer de un e-laboratorio, que integre los diferentes factores implicados, nos permitiría obtener una valiosísima información espacio-temporal. ACAPI propone empezar su construcción para la península Ibérica mediante el uso de geoservicios apropiados (s...

Standards for distributed geospatial information can be classified into general and specific to a domain. Some domains have advanced more than others in the standardization process, for example the domain Climate-Weather or the Hydrological. The hydrology community detected the need of the WaterML standard, which helps with the optimal management o...

Provenance, a metadata component referring to the origin and the processes undertaken to obtain a specific geographic digital feature or product, is crucial to evaluate the quality of spatial information and help in reproducing and replicating geospatial processes. However, the heterogeneity and complexity of the geospatial processes, which can pot...

There are still some gaps regarding the complete geospatial provenance description. These gaps prevent the use of provenance information for replication and reproducibility task. In addition, the lack of automated tools for capturing the provenance is an obstacle to a widely generation of provenance information. In this sense, we present a tool tha...

The complexities of the intricate geospatial resources and formats make preservation and distribution of GIS data difficult even among experts. The proliferation of, for instance, KML, Internet map services, etc, reflects the need for sharing geodata but a comprehensive solution when having to deal with data and metadata of a certain complexity is...

The design of an interoperability experiment to demonstrate how current ICT-based tools and water data can work in combination with geospatial web services is presented. This solution is being tested in three transboundary river basins: Scheldt, Maritsa and Severn. The purpose of this experiment is to assess the effectiveness of OGC standards for d...

Spatio-temporal grid data form a core structure in Earth and Space sciences alike. While Array Databases have set out to support this information category they only offer integer indexing, corresponding to equidistant grids. However, often grids in reality have irregular structures, such as raw satellite swath data. We present an approach to modeli...

The ConnectinGEO Observation Inventory (OI) is created and populated using the current information in the metadata concentrated in the GEO Discovery and Access Broker (DAB) of the GEOSS Common Infrastructure (GCI) to analyse the observations and measurements currently available in it. WP4 defined a high-level process for the population of the Obser...

Most of the paper maps produced a century ago are still very accessible in cartographic libraries preserved by the producer. It is our present obligation to guarantee the preservation of digital geospatial data today and allow for digital cartographic accessibility one century into the future. In addition, there is an increasing demand for older ma...

Geospatial information of many kinds, from topographic maps to scientific data, is increasingly being made available through web mapping services. These allow georeferenced map images to be served from data stores and displayed in websites and geographic information systems, where they can be integrated with other geographic information. The Open G...

We present how implementations of the Sensor Web Enablement framework of the Open Geospatial Consortium are integrated into an existing spatial data infrastructure. The result is registered as a community portal for professionals in solar energy in the GEOSS Common Infrastructure, demonstrating the benefits of interoperable exchange of in-situ time...

Users are playing an increasingly relevant role in geospatial data production. The traditional procedure for creating cartography, mainly by experts in official mapping agencies, has evolved into a more participative process for generating data: neogeography. Technology and the Internet are now user-friendly for a wide range of people who have beco...

This paper presents the application of PROV to geospatial data. In particular, it is applied to the vector model, where geospatial phenomena are represented as a collection of individual objects (called features) that are described with a lot of geographical (point, lines, polygons, etc.) and non-geographical (names, measures, etc.) properties (som...

It's time for a crisper image of the Face of the Earth: Landsat and climate time series for massive land cover & climate change mapping at detailed resolution. Combining climate dynamics and land cover at a relative coarse resolution allows a very interesting approach to global studies, because in many cases these studies are based on a quite high...

Global studies combining climate dynamics and land cover are usually performed at a relatively coarse spatial resolution. This allows a very interesting approach, especially because in many cases these studies are based on a quite high temporal resolution, but they may be limited in large areas like the Mediterranean. Indeed, areas with a complex h...

The twenty-first century has been a scenario for explosive investment in renewables. This paper examines such investment as well as the policies that support it. China represents a unique case in this regard due to its fast development. Whereas the issue of securing energy supply is becoming increasingly important over time, the energy return ratio...

Geospatial data have become a crucial input for the scientific community for understanding the environment and developing environmental management policies. The Global Earth Observation System of Systems (GEOSS) Clearinghouse is a catalogue and search engine that provides access to the Earth Observation metadata. However, metadata are often not eas...

Specially during last three years, the renewable energies are revolutionizing the international trade while they are geographically diversifying markets. Renewables are experiencing a rapid growth in power generation. According to REN21 (2012), during last six years, the total renewables capacity installed grew at record rates. In 2011, the EU rais...