Joan Maso
Dr. Joan Masó (m) is a Principal investigator of CREAF leading specialized group on geospatial interoperability, GIS, remote sensing . (PhD in Geography, MSc in Physics, and a MSc in Electronic Engineering all in the UAB). Since 1995 he is a researcher at CREAF and GIS developer. Co-creator of the MiraMon compressed map in 1997 that has evolved into a distribution and preservation format. Teacher in a RS and GIS master in the UAB. Creator of Remote Sensing imagery visualization and download software for web data portals (the MiraMon Map Browser). Expert in JPEG2000 format. He is an active member of the TC of the Open Geospatial Consortium (OGC) since 2003 (editor OGC 07- 057r7 WMTS standard and the new OGC 20-057 OGC API Tiles among others and chair of the Iberian and Latin American Forum; ILAF). Spanish representative in the TC 211 and editor of the ISO 19165 Preservation of geospatial data and metadata. OGC Gardels gold medal in 2018. Coordinator of GeoViQua FP7 project (research project about visualization of quality information in GEOSS), H2020 ConnectinGeo and currently HE AD4GD. Participant in several European projects related with biodiversity, citizen science, remote sensing and research infrastructures such as H2020 ECOPOTENTIAL, H2020 GroundTruth 2.0, H2020 WeObserve H2020 ERA-PLANET, H2020 E-Shape, H2020 BestMap, H2020 COS4Cloud (INTRAEOSC project), H2020 Framework-biodiversity, H2020 WQeMS, HE OEMC, HE CitiObs, HE More4Nature, - ESA-IHE Phenotandem, EEA InCASE, as well as some other national and local projects related both with remote sensing and geospatial standards and applications. Earth and Space Science Informatics (ESSI) former division president in the European Geosciences Union (EGU). Chair of the OGC API Common, OGC API Tiles and OGC API Maps working groups and member of the OGC Architecture Board. Co-chair of the Citizens Science GEOSS working group. Senior member of IEEE and member of the International Society of Digital Earth (ISDE) council. Chair of the Community of Practice in Interoperability for Citizen Science.
Sessions
Integrity of natural ecosystems is one of the main concerns of current European and Global Green Policies, e.g., the European Green Deal. Public administration managers need reliable and long-term information for a better monitoring of the ecosystems and climate evolution and inform decision makers. Data Spaces are intended to become the EC comprehensive solution to integrate data from different sources with the aim to generate and provide a more ready to use knowledge on climate change, circular economy, pollution, biodiversity, and deforestation. This workshop aims to discuss pros and cons of some technological solutions in terms of Data Spaces, OGC standards, semantic descriptions, datacubes, FAIR principles and sovereignty of data. It also intends to share lessons learned from main EC projects dealing with the topic: AD4GD, GREAT, B-cubed, Fairicube, etc.
One of the major challenges in data management is (and in the project OEMC) is demonstrating the correct implementation of the FAIR (Findable, Accessible, Interoperable and Reproducible) principles. To make data accessible, it is required that “data is retrievable by their identifier using a standardised communications protocol that should be open, free, and universally implementable”.
OEMC has produced a list of datasets that are exposed to the public with and elegant Open-Earth-Monitor App. Our talk will focus on demonstrating the interoperability of the taken approach, showing an alternative web map browser that gives access to the same OEMC datasets. This web map browser was deployed using the original MiraMon Map Browser technology without any customization and using only Open Geospatial Consortium (OGC) standards web services calls, demonstrating the technical interoperability of the OEMC services. The presented visualization portal goes beyond a simple visualization by combining the OGC WMS standard with modern web browser capabilities. During the talk, we will demonstrate how to access OEMC datasets through MiraMon browser functionalities, such as query by location, multiple projections support, reading storymaps, and data multidimensional support among others. An important feature of the visualization portal is that it allows the final users to provide common feedback about the data (such as star rating and comments) that are shared with other users as well as to produce and share their own storymaps and this way share the knowledge gained by analysing the data.