Montenegro GIS data
＋ Follow new data161 datasets.
satellite imagery by GIS, acquired 2025-12-17 to 2025-12-18, 5.3 cm per pixel, published on OpenAerialMap.
uav imagery by GIS, acquired 2025-04-16 to 2025-04-16, 3.7 cm per pixel, published on OpenAerialMap.
uav imagery by GIS Danilovgrad, acquired 2025-11-10 to 2025-11-10, 1.3 cm per pixel, published on OpenAerialMap.
satellite imagery by GIS, acquired 2025-12-17 to 2025-12-18, 5.3 cm per pixel, published on OpenAerialMap.
This dataset contains Copernicus EMS Rapid Mapping products for activation EMSR922. Starting from 14 August at 22:00 UTC a wildfire started to spread on different areas. The event is ongoing and the most serious fires are currently near Herceg Novi (Bijela and Baošići) and Ulcinj, where strong winds have helped the fires spread. Several homes were threatened, and some residents were temporarily evacuated as a precaution. Additional fires have been reported near Bar, Nikšić, Kolašin, and Cetinje. Firefighters, volunteers, military , and AFFF with planes and helicopters are actively engaged. Copernicus EMS Rapid Mapping is requested to provide burnt area delineation and damage assessment emergency mapping **Citation:** Copernicus Emergency Management Service (© 2026 European Union), EMSR922 **Product types present in this dataset's resources:** **DEL (Delineation)**: maps the extent of the event itself (eg. flood, fire, landslide boundary). **GRA (Grading)**: assesses damage to individual features (eg. buildings, infrastructure). Where a GeoPackage download is available for an Area of Interest/round, it already contains every layer with its official Copernicus styling and colours - prefer it in GIS software over the zipped shapefile download.
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
No description yet.
No description yet.
No description yet.
No description yet.
Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT
Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT