BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//talks.osgeo.org//foss4g-2026//talk//PLW9VW BEGIN:VTIMEZONE TZID:JST BEGIN:STANDARD DTSTART:20000101T000000 RRULE:FREQ=YEARLY;BYMONTH=1 TZNAME:JST TZOFFSETFROM:+0900 TZOFFSETTO:+0900 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:pretalx-foss4g-2026-PLW9VW@talks.osgeo.org DTSTART;TZID=JST:20260903T133000 DTEND;TZID=JST:20260903T140000 DESCRIPTION:We present Data4Land (https://doi.org/10.1016/j.softx.2025.1022 26)\, a flexible and reusable open-source workflow for semi-automatic enri chment of remote sensing products\, such as land-use/land-cover (LULC) dat asets\, with other vector datasets of higher accuracy and consistency\, su ch as OpenStreetMap (OSM). Originally designed for analyses of functional habitat connectivity\, where features such as roads and railways dissect n atural habitats\, the workflow has applications in a range of environmenta l monitoring and assessment\, for example predicting land conversion or an alysing land surface temperatures. Data4Land is published on github along with a sample raster dataset and a set of suggested test values for ecolog ical parameters. The sample dataset covers part of England and includes ni ne category labels representing LULC classes. Samples of input data and fo lder structure for output data are located in the data subrepository\, and the detailed user guide is available in the documentation.\nUsers are not constrained to use the modular noteboooks for connectivity computation\, but can run any of them in combination to create updated LULC datasets for multiple purposes. The input parameters\, such as the width of buffer or decay rate\, are flexible\, and users should define them with reference to their own ecological framework or research question (e.g. species and the ir migration characteristics\, stressors etc.). \nConnectivity between nat ural habitats is an important parameter for mitigating the ‘demographic bottlenecks’ that affect populations’ survival in natural and semi-nat ural ecosystems\, and wildlife corridors are widely recognised as an effec tive approach to ensure or restore movement of plants and animals between habitats. However\, land-use/land-cover datasets produced from remote sens ing may not consistently capture small/linear features of interest\, inclu ding ecological barriers\, eg. roads\, railways and water objects. These f eatures may boost or limit habitat connectivity (depending on the species being considered)\, while being too narrow to be detected through widely-u sed remote sensing products (for example\, Landsat and Sentinel) due to re latively small spatial resolution (20–30 m) and shadows cast by vegetati on. To overcome this challenge\, the open-source Data4Land workflow was d eveloped to enrich the LULC with vector data dynamically retrieved from op en APIs (for example\, OpenStreetMap or World Database on Protected Areas) . Users apply Data4Land through a series of open-source Jupyter notebooks which can be flexibly configured to model different impacts and diffusion of impacts for specific feature classes. A particular strength of the work flow is the capacity to vary the distance at which landscape features such as roads and urban areas exert impact on the surrounding landscape. This allow the creation of suites of landscape maps which capture the sensitivi ties of different species groups to anthropogenic pressures such as noise\ , disturbance and pollution.\nTo illustrate the use of Data4Land outputs\, we assess historical trends (1987-2022) and analyse connectivity dynamics for a range of threatened species with different ecological characteristi cs. Case studies for Catalonia and Northern England and for Albera Natural Park in the Pyrenees have been used to demonstrate the capabilities of th e developed technical workflow at the regional and local extent respective ly. The regional case studies focus mainly on forest- and shrubland-dwelli ng species (badger\, beech marten\, common genet\, stoat\, and hedgehog)\, The local case study considers Testudo hermanni (Hermann’s tortoise)\, which is is particularly vulnerable to habitat fragmentation due to its li mited dispersal ability. Connectivity outputs for the local case study are validated with species occurrence records from GBIF\, iNaturalist and the administration of Albera park. \nWhere vector data represented ecological barriers\, connectivity indices tended to drop at all scales once the enr iched LULC datasets were implemented. Edge effects of biodiversity stresso rs affected connectivity by up to 2.9-fold\, while low spatial resolution underestimates the role of ‘stepping stones’’\, and individual filte ring of OpenStreetMap features was essential for datasets with spatial res olution > 30 m. Data4Land prevents the calculation of spurious ecological corridors between species’ habitats by applying ecological barriers not covered in input datasets. It results in lower\, and more realistic\, conn ectivity values and provide a more sophisticated representation of actual ecological corridors compared to connectivity computations based on non-en riched remote sensing LULC datasets.\nThis scalable workflow enables autom ated habitat connectivity assessments for regional and local spatial plann ing\, biodiversity conservation\, and ecosystem services evaluations. It d emonstrates the interoperability of four open-source technical components and highlights the need for multiple connectivity indices\, as their tempo ral trends may diverge and are not always intercorrelated.\nThe Data4Land tool is capable of providing users with more accurate reflections of land use and land cover not only for nature conservation studies but also in ot her fields. The connectivity case study illustrates the value of a transpa rent and repeatable workflow in which parameters such as dispersal distanc e and edge effects of stressor features can be systematically varied in or der to consistently assess their effect. The developed workflow is flexibl e and scalable and would be useful to implement at regional and local scal es by planning authorities\, environmental consultants\, and nature conser vation experts as a part of environmental impact assessments. We believe t hat the Data4Land tool will be a useful contribution to analysis not only of habitat connectivity\, but of a range of landscape analyses where docum entation of provenance and process are important. DTSTAMP:20260717T225751Z LOCATION:Cosmos1 SUMMARY:Data4Land - reproducible open-source tool for enrichment of land-us e/land-cover rasters and connectivity maps. - Lucy Bastin URL:https://talks.osgeo.org/foss4g-2026/talk/PLW9VW/ END:VEVENT END:VCALENDAR