Libyan Arab Jamahiriya GIS data
＋ Follow new data106 datasets.
Point locations of airports, airstrips and airfields in Libya. Each feature includes the facility name, type, elevation and runway information where available. Use this layer for aviation planning, accessibility analysis, emergency response logistics, and transport network mapping.
Point locations of educational facilities across Libya, including primary schools, secondary schools and other learning institutions. Each feature records the facility name, type and administrative location. Use this layer to map education access, identify underserved areas, plan school placement, and analyse catchment areas and travel distances to schools.
Point locations of named places in Libya, including populated places, administrative divisions, ruins and other features. Each feature records a name, alternate ASCII name, coordinates, feature class and code, country, administrative units, population, elevation and timezone. Published by Orion Terrametrics.
A 100-metre raster of population for Libya, published by Orion Terrametrics. Each cell value represents the number of people.
Locations of seaports, harbours and maritime infrastructure in Libya. Includes commercial ports, fishing harbours and ferry terminals. Use this layer for maritime transport planning, trade logistics analysis, coastal zone management, and shipping route mapping.
Water resources and water infrastructure in Libya including rivers, lakes, boreholes, wells and water points. Use this layer for water access analysis, WASH programme planning, drought monitoring, flood risk assessment, and water resource management.
Rivers, streams and drainage network of Libya showing the extent and hierarchy of surface water features. Use this layer for watershed analysis, flood modelling, irrigation planning, water resource mapping, and environmental impact assessment.
Spatial distribution of the population of Libya, showing where people live and in what densities across the country. Use this layer for understanding settlement patterns, sizing infrastructure, planning service delivery, and conducting demographic analysis.
This dataset contains neighborhoods of several towns in Libya Contains name of neighborhood (name_neigh), admin level (1 and 2), mantika, baladiya (when available), muhalla (Ubari only), data of data collection and data collection method. Data collection was done by participatory mapping, with 2 different methods, depending on cities. Thus, data must not be considered as official boundaries: In Azzawya, Derna, Ejdabia, Tawergha, Sebha, Sultan, Ubari and Zouitina areas, the neighborhood boundaries have been identified and drawn in consultation with local governance stakeholders through a participatory mapping focus group discussion (FGD in the source field of the dataset). In Albayda, Benghazi, Ghat, Misrata, Zliten, Tripoli, Zoltan and Zwara areas, the neighborhood boundaries have been identified and drawn by the REACH Senior Field Officers and ACTED Area Coordinators, based on their knowledge of the area.
These boundaries are for archival purposes only and should not be used for current operations.
Shapefile with wastewater treatment plants Eastern Libya
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** Live web map showing analysis related to floods in Libya following the strom Daniel in the north-eastern part of Libya.
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** This map illustrates satellite-detected flood impact in 4 dams over Benghazi and Almarj governorates, East pronvce, Libya, as observed from optical very-high resolution satellite imagery. Dam reservoirs appears to be filled over the 4 dams. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** On the night of the 10th of September 2023, after its journey through the Mediterranean Sea, the storm Daniel brought heavy rains that triggered floods in Benghazi, Almarj, Al Jabal Al Akhdar and Derna Governorates, in northeastern Libya. The increase of water levels in the region caused the collapse of two dams located upstream Derna River and the consequences was tremendous. The dam breach released a massive amount of water and a huge flood wave wiped out entire neighbourhoods in the city of Derna. Hundreds of people were reported missing by the Libyan Red Crescent Society. According to the Libyan National Meteorological Centre, the storm reached its peak with winds going up to 70-80 km/h. This led to the falling of electricity towers and tress causing communications interruption. Between 150 – 240 mm were reported and caused flash floods in several cities. Al-Bayda have recorded the highest daily rainfall rate: 414.1 mm in the night of the 10 to 11 September 2023.
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** Status: Significant light loss observed. Further action(s): Continuous observations planned for full assessment Severe floods in Libya have generated power supply outage in Derna and Al Baydā. About 5 km2 in Derna, and 4 km2 in Al Baydā became darker based on comparison of SDGSAT-1 images acquired before and after the floods. River delta area in Derna city lost the majority of night-time light, with power supply not fully restored as of 17 September 2023. In Al Baydā, power supply has been almost fully restored as of 17 September 2023. Continuous observations have been planned for full assessment of power recovery.
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** This map illustrates satellite-detected flood extent in the Al Tamimi Town, East Province (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 11:15 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the extent of the map, at least 64 structures appear to have been potentially exposed to rushing floodwaters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** Status: increased water observed Further action(s): continue monitoring Wadi Qattarra Dam 1 & 2 appears to be filled as of 16 September 2023; Wadi Jaza dam appears to be filled as of 15 September 2023; Increased water observed in Al Marj dam as of 15 September 2023; Both Derna dams destroyed by rushing flood waters.
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** Status: Power outage observed. Further action(s): continue monitoring Based on the estimation from night-time light, power supply of Derna reduced by more than 90% after the floods. As of 24 September 2023, the power supply of Derna has been restored to about 80% of its pre-floods level. As of 19 September 2023, the floods affected areas in Derna were still in blackout. Night-time light within the floods affected areas accounts for 30% of Derna’s total night-time light. Based on the estimation from night-time light, power supply of Al Bayda reduced 60% after the floods. As of 24 Sept. 2023, the power supply of Al Bayda has been restored to 90% of the pre-floods level. After the floods, Derna suffered the most severe power outage. Outer areas of Al Bayda had more power outage than the city center. On 24 September 2023, power supply in most areas of Derna and Al Bayda has recovered to the pre-floods levels.
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** This map illustrates satellite-detected flood impact in the 2 Derna dams over Benghazi Governorate, East pronvce, Libya, as observed from optical very-high resolution satellite imagery. Dam wall reservoirs appears to be destroyed in both the upstream and the downstream Derna dams. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** Status: Power outage observed. Further action(s): continue monitoring Compared with Derna and Al Bayda, power supply of Benghazi was less affected by the floods. No significant power outage could be observed in Benghazi. Only a few areas east of the city of Benghazi suffered of power outage after the floods, in which the power supply has recovered to pre-floods level on 24 September 2023.
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** This map illustrates satellite-detected flood extent in Derna City located in the East Province of Libya, as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the city of Derna, at least 2,217 buildings appear to have been exposed to rushing floodwaters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code FL20230912LBY, GDACS Id: 1102204** This map illustrates satellite-detected flood extent in the centre of Derna (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Extensive damage and destructions are observed in the city centre and the port area. 2217 buildings were affected by the rushing floodwaters in Derna and 886 in this sector of the city. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
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.
This map illustrates satellite-detected areas of damage in the Al Thama, Al Sabri, Old Benghazi, Al Salmane Al Sharge, and Al Salmane Al Garbe neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,184 potentially damaged structures in these neighborhoods. Approximately 75 of these were destroyed, 198 severely damaged, 426 moderately damaged, and 485 possibly damaged. A slightly higher margin of error is possible in this analysis due to utilization of multiple images and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
This map illustrates satellite-detected areas of damage in the Bu Attniy North and Bu Attniy South neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,701 potentially damaged structures in these neighborhoods. Approximately 573 of these were destroyed, 329 severely damaged, 496 moderately damaged, and 303 possibly damaged. A slightly higher margin of error is possible in this analysis due to utilization of multiple images and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
This map illustrates satellite-detected areas of damage in the Tabellino, Venice, Beloun, Al Hawary, Bu Hedima, and Al Lethy neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,488 potentially damaged structures in these neighborhoods. Approximately 526 of these were destroyed, 283 severely damaged, 357 moderately damaged, and 322 possibly damaged. A slightly higher margin of error is possible in this analysis due to cloud obstruction, utilization of multiple images, and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
**UNOSAT code: FL20240206LBY** This application provides geospatial information on the ongoing floods in Libya. Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre -UNOSAT is not responsible for the misuse or misrepresentation of the map.
**UNOSAT code: FL20240812LBY** This map illustrates satellite-detected water extent in Al-jawf Town, Alkufra Governorate, East Province, Libya as observed from a Sentinel-2 satellite image acquired on 14 August 2024 at 11:13 UTC. Within the analysed area of about 120km², a total of about 2 km² of lands appear to be affected by flood water. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20240812LBY** This map illustrates satellite-detected water extent in Tahala Village, Ghat Governorate, South Province, Libya as observed from a Sentinel-2 satellite image acquired on 19 August 2024 at 11:50 local time (09:50 UTC). Within analysed area of about 100 km², a total of about 5 km² of land appears to be affected by floodwaters. In Tahala Village, approximately 4 km² (11%) of the village is flooded. Additionally, about 3 km of road is affected by the flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20240812LBY** This map illustrates satellite-detected water extent in Ghat City, Ghat Governorate, South Province, Libya as observed from a WorldView-3 satellite image acquired on 18 August 2024 at 11:53 local time (09:53 UTC). Within analysed area of about 65km², a total of about 13 km² of land appears to be affected by floodwaters. In Ghat City, approximately 5 km² (30%) of the city is flooded, which includes around 0.5 km² of built-up area. Additionally, about 13km of road is affected by the flooding This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT)
**UNOSAT code: FL20240812LBY** This map illustrates satellite-detected water extent in Ghat City, Ghat Governorate, South Province, Libya as observed from a WorldView-3 satellite image acquired on 18 August 2024 at 11:53 local time (09:53 UTC). Within analysed area of about 35km², a total of about 4 km² of land appears to be affected by floodwaters. UNITAR-UNOSAT identified 49 potentially affected structures within the analysed area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT)
No description yet.
No description yet.
No description yet.