BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2024-academic-tra ck//talk//FSJ9A3 BEGIN:VTIMEZONE TZID:EET BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1;UNTIL=20001231T220000Z TZNAME:EET TZOFFSETFROM:+0200 TZOFFSETTO:+0200 END:STANDARD BEGIN:STANDARD DTSTART:20021027T050000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:EET TZOFFSETFROM:+0300 TZOFFSETTO:+0200 END:STANDARD BEGIN:DAYLIGHT DTSTART:20020331T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:EEST TZOFFSETFROM:+0200 TZOFFSETTO:+0300 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2024-academic-track-FSJ9A3@talks.staging.osgeo.or g DTSTART;TZID=EET:20240703T120000 DTEND;TZID=EET:20240703T120500 DESCRIPTION:Environmental monitoring is fundamental for addressing climate change. Environmental data\, in particular air quality and meteorological parameters\, are widely used for risk assessment\, urban planning\, and ot her studies regarding urban and rural environments. Finding open and good quality environmental data is a complex task\, even though environmental a nd meteorological monitoring are considered some of INSPIRE's high value d atasets. For this reason\, having robust\, open\, and standardised service s that can offer spatial data is of critical importance. \n\nA good exampl e of open\, high-quality\, environmental and meteorological data is one of the Regional Agencies for Environmental Protection\, ARPA Lombardia. This agency maintains the air quality and meteorological monitoring station ne tworks of the region and serves a high volume of sensor observations. The Lombardy region is located in northern Italy and is considered its financi al and industrial muscle. Due to its topology\, during the colder months o f the year\, the pollution levels of the region increase\, in particular t he concentrations of particulate matter (PM10 and PM2.5)\, as portrayed in [1]. For this reason\, having a well-established monitoring network is cr itical. The ARPA Lombardia monitoring network generates huge volumes of da ta\, which is served through its catalogue and a set of services. It is po ssible to download air quality and meteorological observations\, as well a s the information of the monitoring stations. These data have been extensi vely used in research\, in particular\, in the study of air quality in the region [2][3]. \n\nARPA Lombardia environmental monitoring data is served through the API (Application Programming Interface) of the Lombardy regio n\, Open Data Lombardia. Although this service is highly functional\, thor oughly documented and works correctly\, we identified some limitations tha t could pose problems for researchers\, especially in the field of geospat ial information. This service has geospatial capabilities\, such as the po ssibility to download data in GEOJSON format\, however\, it is not complia nt with other open standards such as WFS\, WMS\, or OGC APIs\, posing a pr oblem of interoperability with other geoportals and catalogues that do fol low these standards. Additionally\, column names of the meteorological and air quality observations and meteorological stations datasets are not hom ogenised\, making them not fully interoperable. Finally\, the ARPA Lombard ia services and data fields are only available in Italian\, which also pos es interoperability concerns. \n\nHighlighting the societal\, environmenta l\, and economic importance of this kind of information\, in this work we present and document the implementation of a web API compliant with OGC AP I specifications for exposing the air quality and meteorological informati on from ARPA Lombardia. The data provided by ARPA Lombardia is shared unde r the licence CC0 1.0 Universal\, meaning it is public domain.\n\nThe deve loped API serves environmental monitoring data (both air quality and meteo rological) in compliance with a set of OGC APIs. This API is capable of ex posing data in different standardised formats\, filtering by multiple fiel ds and locations\, and performing server-side processing of the observatio ns. OGC APIs are modern standards for geospatial information. Although the y are still in the adoption phase\, many reference implementations are bei ng developed\, and governmental institutions are starting to adopt such st andards [4][5]. They differ from widespread\, older OGC standards such as WMS or WFS as they are based in JSON and OpenAPI\, while older standards a re based in XML. By implementing new OGC API applications we contribute to the spread of these standards in academic environments and their overall development. \n\nIn particular\, we developed a web service compliant with OGC API - Features for exposing the stations’ information and locations as vector data\, OGC API - Environmental Data Retrieval (EDR) for serving observations from environmental and meteorological stations\, and OGC API - Processes to allow researchers to perform server-side processing to the underlying data\, such as data cleansing\, interpolations (e.g.\, convers ion to a coverage format\, obtaining data at an arbitrary point\, etc.)\, and data aggregation (e.g.\, by day/month/year\, by station). The API also complies with OpenAPI standards\, HTTP content negotiation\, and homogeni sed column names in English\, to improve the usability of ARPA data by for eign researchers.\n\nThis work is not intended to replace ARPA Lombardia A PI\, but to provide an alternative for accessing the data and extend even further the possibilities of researchers with additional processing capabi lities. Additionally\, to further improve the ecosystem of OGC API impleme ntations available and push forward those open standards in academic liter ature. The full paper will provide a system architectural description and the particular technologies used to develop the application\, a comparison with ARPA Lombardia's current API\, and a case study portraying the API c apabilities for research. This work is of interest to the FOSS4G community and European regional agencies as it is an implementation of a promising open standard for environmental monitoring and sensor networks\, as it is the OGC API - EDR\, and as an example of the infrastructure and the capabi lities that services for environmental monitoring should have.\n\n\nRefere nces:\n\n[1] Maranzano\, P. (2022). Air Quality in Lombardy\, Italy: An Ov erview of the Environmental Monitoring System of ARPA Lombardia. Earth 202 2\, Vol. 3\, Pages 172-203\, 3(1)\, 172–203. https://doi.org/10.3390/EAR TH3010013 \n\n[2] Gianquintieri\, L.\, Oxoli\, D.\, Caiani\, E. G.\, & Bro velli\, M. A. (2024). Implementation of a GEOAI model to assess the impact of agricultural land on the spatial distribution of PM2.5 concentration. Chemosphere\, 352\, 141438. https://doi.org/10.1016/J.CHEMOSPHERE.2024.141 438 \n\n[3] Cedeno Jimenez\, J. R.\, Pugliese Viloria\, A. de J.\, & Brove lli\, M. A. (2023). Estimating Daily NO2 Ground Level Concentrations Using Sentinel-5P and Ground Sensor Meteorological Measurements. ISPRS Internat ional Journal of Geo-Information\, 12(3). https://doi.org/10.3390/IJGI1203 0107\n\n[4] MSC GeoMet - GeoMet-OGC-API - Home. (n.d.). Retrieved February 23\, 2024\, from https://api.weather.gc.ca/ \n\n[5] API for downloading g eographic objects (API-Features) of the National Geographic Institute. (n. d.). Retrieved February 23\, 2024\, from https://api-features.ign.es/ DTSTAMP:20260601T224531Z LOCATION:Omicum SUMMARY:A standardised approach for serving environmental monitoring data c ompliant with OGC APIs - Juan Pablo Duque Ordoñez URL:https://talks.staging.osgeo.org/foss4g-europe-2024-academic-track/talk/ FSJ9A3/ END:VEVENT END:VCALENDAR