BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.staging.osgeo.org//foss4g-europe-2025//speaker//SM MFEV BEGIN:VTIMEZONE TZID:CET BEGIN:STANDARD DTSTART:20001029T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-europe-2025-8NPSRZ@talks.staging.osgeo.org DTSTART;TZID=CET:20250716T113000 DTEND;TZID=CET:20250716T120000 DESCRIPTION:Monitoring the movement of people\, animals\, and vehicles in d aily territorial use can significantly improve spatial development\, enhan cing safety\, sustainability\, and inclusiveness. Across Ticino canton\, m any stakeholders\, such as regional natural parks\, are eager for a system that can provide valuable data on space usage to better manage costs\, ju stify new investments\, and handle maintenance activities [1\, 2]. \n\nDur ing the INSUBRIPARKS Interreg project\, a cost-effective prototype was dev eloped to track and count the passage of tourists in specific park areas. The system consists of a device with a camera that\, through image recogni tion and machine learning techniques\, collects data that are then sent to a data warehouse based on istSOS [3]\, an open-source implementation of t he Sensor Observation Service (SOS) standard of the Open Geospatial Consor tium (OGC). The system fully complies with European GDPR regulations\, as it only stores anonymous metadata such as the type of object (person\, car \, bicycle\, etc.) and the object's movement path. No video or images capt ured by the camera are saved. \n\nThanks to these features\, the device ha s been adopted also in the Adaptive Space project\, funded by the Federal Office of the Spatial Development (ARE). This project aims to develop a pr otocol with guidelines for the inclusive planning of last-mile mobility. \ n\nTo this end\, two sites were selected as study areas (SA) to analyse th e behaviour of citizens who frequently use these spaces. One is located ou tside the Mendrisio railway station (SA1). This area is occupied by four p arking lots and is subject to movements that prioritize pedestrian passage and vehicle flow to and from the station and the city centre. The second site is located at Mendrisio S. Martino\, also outside the railway station (SA2). This area is of particular interest because new structures have be en built over the past year\, impacting pedestrian use due to an increase in traffic from both vehicles and people. In fact\, this area is commonly used as a passageway for people heading to the industrial zone. \n\nThe me thodology involved an automatic detection approach by installing sensors t o collect continuous data. Three main data collection campaigns were condu cted at each site: one in summer\, one in autumn\, and one in winter. Sinc e the device has high power consumption\, it had to be installed with a ba ttery\, as no viable solution was found to connect the sensor to a continu ous power source. During the campaigns\, the device collected data on the number of detected objects\, their classification\, and their movements ac ross the monitored areas\, using tracking capabilities that gather coordin ates frame by frame to monitor the movement of each object. Such data have been validated through manual sampling and\, on the other hand\, have bee n provided a broader overview of the usage of the selected areas across di fferent periods of the year. \n\nThe analysis developed during this proje ct focused on tracking data coordinates\, which proved to be essential for understanding how the objects are distributed across the area and determi ning where activities are most concentrated\, based on the different categ ories to which each object belongs. This approach results in the generatio n of heatmaps for pedestrians and vehicles using data from the entire day\ , as well as filtering for evening and morning peak-hour traffic. The data set has also been evaluated in terms of data accuracy\, as for each object present in the frame\, the percent of confidence is archived. By plotting this data through a histogram\, it was possible to understand the accurac y assessments of the detected objects from the chosen classification model . \n\nFurthermore\, two different analytical methods were applied to the t wo study areas. In SA1\, alongside heatmap generation and accuracy evaluat ion\, the analysis focused on parking areas by calculating the stationary time of detected objects\, which helped to assess how these parking areas are utilized by citizens. In contrast\, in SA2\, a different approach was taken\, custom-defined zones were created to analyze object counts and det ermine the percentage of people or vehicles using specific parts of the ar ea compared to the rest. \n\nIn this context\, the challenges encountered during the project will be reported\, primarily those related to data tran smission. Due to the large amount of data collected\, it was difficult to transmit everything using only an NB-IoT connection via the MQTT standard\ , which\, due to its low bandwidth\, cannot handle the transmission of lar ge amounts of data. \n\nThanks to this research\, new advancements have be en made using this device firstly developed during the INSUBRIPARKS projec t\, such as analysis based on object tracking coordinates rather than sole ly relying on object counts. However\, further developments are needed\, i ncluding the possibility of georeferencing the data\, since the current sy stem uses an absolute reference system based on image coordinates\, and im proving the overall performance of the device. One of the critical aspects in this regard is the video streaming frame rate\, which currently ranges from 15 to 19 FPS. A more powerful device\, combined with a higher-resolu tion camera\, could achieve 30–40 FPS\, which would enhance both detecti on accuracy and the ability to track object positions more precisely durin g video capture. \n\nIn conclusion\, this paper presents and analyses the collected data\, along with the preliminary results derived from the imple mented methodology\, where tracking data served as the raw input for all a nalyses. This approach is highly promising in providing valuable insights for urban planners to improve the studied areas\, enhancing security\, and supporting sustainable and inclusive urban development. DTSTAMP:20260527T015050Z LOCATION:PA01 (Quarticle) SUMMARY:OpenTrack: a Sensor for Monitoring the Usage of Territory - Daniele Strigaro URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/8NPSRZ/ END:VEVENT BEGIN:VEVENT UID:pretalx-foss4g-europe-2025-Z3D99H@talks.staging.osgeo.org DTSTART;TZID=CET:20250718T120500 DTEND;TZID=CET:20250718T121000 DESCRIPTION:The management of protected areas\, which are of particular imp ortance within the Ticino River basin both in terms of biodiversity protec tion and enhancement and in reducing major sources of pollution\, is inext ricably linked to the sustainable management of water resources. This reso urce has become even more precious considering ongoing and anticipated cli mate change.\nProlonged drought periods raise a series of questions regard ing the use of water resources for the various environmental and socio eco nomic sectors of the entire transboundary Ticino hydrological system. Thes e concerns cannot be separated from the need to safeguard natural capital\ , making water allocation a critical issue that requires a transboundary g overnance approach to ensure a balanced management of the entire Ticino ba sin. Therefore\, the activities of this project aim to analyse\, understan d\, and describe the complex interactions between water\, economy\, enviro nment\, and agriculture within the Ticino River basin. This is particularl y relevant in the context of climate change\, where water availability is subject to increasing variability\, both excess and shortage\, compared to past century values.\nThis project\, funded by the INTERREG programme VI- A between Italy and Switzerland CCI 2021TC16RFCB033 with project id 020011 2\, will help identify potential risks\, opportunities\, and challenges fo r the transboundary Ticino basin in terms of policies\, management\, and w ater-related technologies. Consequently\, it will address issues concernin g the environment\, biodiversity\, ecosystems\, pollution\, and the socio- economic framework by identifying key challenges\, developing\, and propos ing strategies that can be adopted across the entire transboundary region. These strategies will support a common approach to governance\, managemen t\, and efficient use of water resources within the Ticino basin\, paving the way for climate adaptation and the protection of natural capital and b iodiversity through participatory approaches and the use of open\, flexibl e\, and sustainable techniques and technologies. The innovative and jointl y developed solutions fall within the following intervention areas of the program: promoting nature-based solutions and water resource management in both irrigation and lake environments to improve environmental quality an d quality of life\; installing new technological tools and/or developing s mall infrastructures\; and developing shared monitoring and data exchange systems\, including information platforms and other digital exchange syste ms.\nAdditionally\, actions to enhance environmental sustainability and re silience will be studied. Nature-based solutions will be developed through pilot areas to foster biodiversity\, improve the microclimate\, increase water storage via wetlands\, and support pollinating insects. Research wil l also focus on optimizing water resource management by integrating smart\ , remotely controlled irrigation systems and a sensor network to monitor a vailability in real time\, ensuring efficiency in the face of climate chan ge. Therefore\, the project will enhance lake ecosystem quality and biodiv ersity by improving existing monitoring systems.\nThese actions will not b e developed in isolation but rather in synergy with each other and with pr oject partners. They will also incorporate Citizen Science practices throu gh the creation of communities of practice and learning\, open to local st akeholders. The approach considers the hydrological cycle and the water’ s journey from upstream to downstream in the transboundary Ticino territor y\, an interconnected system that enables the development of green areas\, ecosystems\, agricultural zones\, renewable energy production\, and relat ed economic activities.\nThe implemented solutions will be integrated and valorised in a digital story telling WebGIS application that using open st andards will manage data and produce publicly accessible information on th e state of the three developed solutions and the challenges threatening th e Ticino water system. OpenLayers\, Geoserver and istSOS4 will be the FOSS 4G technologies at the core of this application to make data FAIR using ma inly the OGC standards WMS and SensorThings API. In addition to the softwa re tools\, the open-source paradigm will also be applied to implement an o pen datalogger designed to collect data from different sensor providing va luable insights into future project actions and climate change impacts. Th is open approach will allow the integration of data collected from previou s project (e.g. INTERREG SIMILE) as well as from existing networks with ne w sensors installed within this project\, field activities\, and informati on and feedback gathered from stakeholders during public meetings planned as part of the initiative.\nThe ongoing dialogue among different stakehold ers and associated partners of the transboundary Ticino basin will create a comprehensive and in-depth understanding of needs\, challenges\, and opp ortunities. It will also enable the initiation of actions and measures to address these needs and overcome emerging challenges\, ultimately strength ening climate risk mitigation capacity through transboundary collaboration . Additionally\, it will integrate climate change adaptation measures into policies\, strategies\, and regional planning while improving education a nd fostering greater awareness.\nFinally\, the project also aims to develo p coordinated training and educational activities to raise awareness among policymakers and local decision-makers about implementing transboundary s trategies for the sustainable protection and enhancement of the alpine and pre-alpine environment’s attractiveness. This approach will also be tra nsferable to other regions\, serving as a key element in maintaining the s ustainable use of land and water resources. DTSTAMP:20260527T015050Z LOCATION:PA01 (Quarticle) SUMMARY:Assessing built-up surface dynamics in the Ticino River Basin using multi-source LU/LC datasets: A preliminary comparative study within the I NTERREG WINCA4TI project - Daniele Strigaro URL:https://talks.staging.osgeo.org/foss4g-europe-2025/talk/Z3D99H/ END:VEVENT END:VCALENDAR