Somalia GIS data

**UNOSAT code: FL20231105SOM** This map illustrates satellite-detected surface waters in Bardere City, Baardheere District, Gedo Region, Somalia as observed from a WorldView-3 image acquired on 29 November 2023. Within the analysed area of about 32 km2 about 4.5 km2 of land appears to be flooded. The water extent appears to have receded about 1.5 km2 since 22 November 2023. Furthermore, within the analysed area about 1,200 buildings are identified as potentially affected by the floods as of 29 November 2023. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20230327SOM, GDACS Id: 1101908** This map illustrates satellite detected surface waters Hiraan, Lower Shabelle, and Middle Shabelle Regions Somalia as observed from Sentinel-2 image acquired on 29 April 2023 at 07:06 UTC. Within the analyzed area about 12,000 km², about 600 km² of land appear to be flooded. Water extent appears to have increased by about 480km² since 19 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area 59,000 people are potentially exposed or living close flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20230327SOM, GDACS Id: 1101908** This map illustrates satellite-detected surface waters in Shabelle Zone, Somali Region of Ethiopia and Beledweyne and Northern Bulo Burto District, Hiraan Region of Somalia as observed from a Sentinel-2 image acquired on 14 May 2023 at 07:28 UTC. Within the analyzed area of about 8,000 km², about 500 km² of land appear to be flooded. Water extent appears to have increased by about 300 km² since 29 April 2023. Based on Worldpop population data and the detected surface waters in the analyzed area, about 29,700 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20230327SOM, GDACS Id: 1101908** This map illustrates satellite-detected surface waters over Beledweyne City, Beledweyne District, Hiraan Region of Somalia as observed from a Sentinel-2 image acquired on 19 May 2023 at 07:28 UTC. Within the analysed area of 166 km², about 63 km² of land appear to be flooded. Water extent appears to have increased by about 9 km² since 14 May 2023. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20231105SOM** Status: Affected structures and inundated roads Further action(s): continue monitoring Inundated agricultural areas observed along the Shabelle River as of 08 November 2023; Affected structures observed in Jowhar City, Jowhar District, Middle Shabelle Region as of 08 November 2023; Potentially affected structures observed in Moyka Village, Jowhar District, Middle Shabelle Region as of 08 November 2023. Inundated roads observed in Jowhar City and Moyka Village, Jowhar District, Middle Shabelle Region as of 08 November 2023.

**UNOSAT code FL20230327SOM, GDACS Id: 1101908** This map illustrates the cumulative satellite-detected water affected sectors of Beledweyne City in Hiiran Region, Somalia as detected from the analysis of a satellite Jilin-1 images acquired on 12 May 2023 and Pleiades acquired on 25 May 2023. Beletweyne is heavily affected by floods and about 67% of the town and its vicinity is largely inundated; the sectors called Kutimbo Neighborhood and Lamagalay Regional Military Base appear to be the most affected by floodwaters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)

This map illustrates satellite-detected areas of displaced persons shelters in the Dalxiska settlement, north of Kismayo, Lower Juba, Somalia. UNITAR-UNOSAT analysis of WorldView-3 satellite imagery acquired 08 September 2016 revealed a total of 2,426 shelters as well as 200 infrastructure and support buildings within the compound. A new shelter zone, labeled camp 2 on the map, is possibly planned north of the main settlement. To the south, camp 1 extends into the town of Dalxiska, often blending in to the city structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: FL20231105SOM** This map illustrates satellite-detected surface waters in Jowhar City, Jowhar District, Middle Shabelle Region, Somalia as observed from a Sentinel-2 image acquired on 20 November 2023. Within the analysed area of about 170 km2 about 27 km2 of land appears to be flooded. 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 FL20230327SOM, GDACS Id: 1101908** This map illustrates satellite-detected surface waters over Bulo Burto City, Bulo Burto District, Hiraan Region of Somalia as observed from a Pleiades image acquired on 3 June 2023. Within the cloud free analysed area of 14 km², about 1 km² of land appear to be flooded. Water extent appears to have decreased by about 1 km² since 30 May 2023. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20231105SOM** This application provides geospatial information on ongoing satellite based-assessment related to the ongoing floods in Somalia that started in November 2023. 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: FL20231105SOM** This map illustrates satellite-detected surface waters in Jowhar City, Jowhar District, Middle Shabelle Region, Somalia as observed from a Radarsat RCM-3 image acquired on 11 and 22 November 2023 and ad Worldview-2 image acquired on the 22 November 2023. Within the analysed area of 148 km2 about 31 km2 of land appears to be flooded. The water seems to have increased about 11 km2 since the 11 Nov. 2023. 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: FL20231105SOM** This map illustrates satellite-detected surface waters in Bu'aale City, Bu'aale District, Middle Juba Region, Somalia as observed from a Worldview-3 image acquired on 22 November 2023 at 07:35 UTC. Within the analysed area of about 1,000 hectares about 800 hectares of land appear to be flooded. Compared to the situation on 13 November, the flood-affected area in the analysed extent increased about 20 hectares and the number of flood-affected buildings increased about 330. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20231105SOM** This map illustrates satellite-detected surface waters in Juba Hoose and Juba Dhexe Region, Somalia as observed from a Sentinel-2 image acquired on 3 December 2023 at 07:39 UTC. Within the analysed area of about 20,000 km2 about 1,300 km2 of land appears to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20231105SOM** This map illustrates satellite-detected surface waters in Jowhar City, Jowhar District, Middle Shabelle Region, Somalia as observed from a Worldview-2 image acquired on 22 November 2023. Within the analysed area of about 13 km2 about 1,4 km2 of land appears to be flooded. Furthermore, within the analysed area about 300 buildings are identified as potentially affected by the floods. 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 is an extraction of the WFP database following UNSDI-T standards. See "Attributes" tab for more information on the data structure. Roads are displayed here according to their functional class (fclass). It contains as well information on current status of the roads, as per latest Road Access Constraints map from Logistics Cluster. The dataset was updated on 11 April 2017. For more information on attributes, please go check the layer on WFP geonode:

**UNOSAT code FL20231105SOM** This map illustrates satellite-detected surface waters in Luuq & Doolow District, Gedo Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 12,500 km², about 150 km² of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code FL20231105SOM** This map illustrates satellite-detected surface waters in Jilib District, Juba Dhexe & Afmadow Jamaame District, Juba Hoose Region, Somalia as observed from a Sentinel-1 image acquired on 07 November 2023 at 02:54 UTC. Within the analysed area of about 7,300 km², about 60 km² of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: FL20231105SOM** This map illustrates satellite-detected surface waters in Buloburto City, Buloburto District, Hiraan Region, Somalia as observed from a Worldview-2 image acquired on 30 November 2023. Within the analysed area of about 150 km2 about 23 km2 of land appears to be flooded. Furthermore, within the analysed area 7,151 buildings are identified as potentially affected by the floods as of 30 November 2023. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20230327SOM, GDACS Id: 1101908** This map illustrates the cumulative satellite-detected water affected sectors of Beledweyne City in Hiiran Region, Somalia as detected from the analysis of a satellite Pleiades Jilin-1 and Pleiades images acquired on 25 May 2023. Beletweyne is heavily affected by floods and about 42% of the town and its vicinity is inundated; the sectors called Kutimbo, Lamagalay and Radar Neighbourhood appear to be the most affected by floodwaters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code FL20231105SOM** This map illustrates satellite-detected surface waters in Bardere City, Baardheere District, Gedo Region, Somalia as observed from a Pleiades image acquired on 12 and 13 November 2023. Within the analysed area of about 32 km2 about 5.3 km2 of land appears to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to 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 flood water extent and potentially damaged buildings within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Within the extension of the town, 66% of the buildings are located inside areas totally inundated and 34% inside areas partially inundated. Building footprints were generated by Humanitarian Open Street Map using an image from 2015, so the number of buildings affected might have been underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

This map illustrates satellite-detected flood water extent within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 image acquired on the 30 April 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. More than 50% of the extension of the town is totally inundated, being the districts of Bulahabley, Bundaweyn, Dhagahjebis, Hilac, Hindab and Lamagalay Regional Military Based completely submerged in water. The areas of partially flooded districts present affected roads and buildings. Districts located in the north of the town are partially or completely obscured by the clouds but they might be totally flooded as well, due to the observations in the surrounding areas of the district. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

This map illustrates satellite-detected flood water extent over the district of Baardheere (Gedo Region), the districts of Saakow and Bu'aale (Middle Juba region) and the district of Diinsor (Bay region), Somalia using a Radarsat-2 image acquired on 09 May 2018. As observed from the satellite radar image, a total of 61,000 ha of land were inundated in the area of interest. By using WordPop data, we estimate that at least 100,000 people are potentially affected or living close to the potentially flood area. This correspond about 35% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

This map illustrates satellite-detected flood water extent over Booco and Hagan areas, Hiraan region, Somalia using a Radarsat-2 image acquired on 09 May 2018. Within the extent of the map about 4,000 ha of land appear to be inundated and according to WorldPop data, ~22,000 people, live within the extent of this map about 6,500 within 100 meters distance from the flooded areas which corresponds to about 30% of population in this zone. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

This map illustrates satellite-detected flood water extent over the district of Belet Weyne, Hiraan region, Somalia using a SAR image from 06 May 2018 and an optical VHR image over Beledweyne town. More than 2800 km2 of lands were assessed and about 19,000 ha (190km2) appear to be inundated which corresponds to about to about 7% of the total analysed zone. In this analysed area and according to WorldPop data the population is estimated to ~126,000 people, ~ 32,000 live in the flooded zone and about 70,000 within 100 meters distance from the flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

**UNOSAT code: FL20200428SOM** This map illustrates the flood-affected sectors of Beletweyne town in Hiraan Region, Somalia as detected from the analysis of an ICEYE satellite image acquired on 16 May 2020. Within the analysed area of about 30 km2, a total of 8 km2 of land appear to be flooded in BeletWeyne town and surroundings. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 7 May 2018. As observed from the satellite radar image, a total of 11,329 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 8,800 people are potentially affected or living close to the potentially flooded area. This corresponds to about 6% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

**UNOSAT code: FL20191030SOM** This map illustrates the satellite-detected flood water extent and IDP distribution within the town of Belet Weyne in Belet Weyne District, Hiiran Region, Somalia. The analysis was conducted by analyzing WorldView-1 images acquired on the 1 November 2019. As observed from the satellite image, the town of Belet Weyne is heavily affected by floods. Around 60% of the vicinity of the town is completely inundated; the districts of Hawa tako, Kutimbo, and the Lamagalay Regional Millitary Base completely submerged in water. More than 110 IDP sites are located inside of the town and 40% of them are located within completely flooded areas. This is a preliminary analysis and has not been validated in the field yet. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates satellite-detected flood water extent over the districts of Saakow and Bu'aale, Middle Juba, Somalia. The mostly affected areas are in the district of Saakow, where 365 km2 of land are flooded. In total, 19 settlements are within the inundated zones: 12 in Buaale and 7 in Saakow; however, more than 100 settlements, are within 500 meters distance from the flooded areas and might be affected due to the proximity to Juba River. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay region in Somalia. Using a Worlview-2 satellite image collected on 21 April 2017, UNOSAT analyzed the town of Baidoa and its outskirts areas and identified 272 locations where displaced person shelters are visible. A total of approximately 33,467 shelter structures are estimated to be within the ~149 hectares of settlement area. This represent an increase of 143% in shelter structures compared with the last UNOSAT analysis performed using imagery collected on 22 January 2017, where a total of 13,766 shelters, inside 144 locations, within 96 hectares of settlement area were detected. Note that also 1,288 additional shelters were detected in the previous analysis but were not detected in the current one as they are obscured by clouds in the image from 21 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates satellite-detected areas of displaced person settlements in Baidoa town, the southwestern capital of Bay Region in Somalia. Using a WorldView-2 satellite image collected on 30 December 2017, UNOSAT analyzed a total of 286 distinct IDP shelter sites including 81 new sites, 62 expanded sites, 49 contracted site and 94 unchanged sites as well as 73 closed sites. Compared to the previous analysis on 21 April 2017, this represents an increase of 16 sites (5.9%). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected flood water extent in Somali Region, Ethiopia. The analysis was conducted by analysing a Sentinel-1 image acquired on the 1 May 2018. As observed from the satellite radar image, a total of 9,200 ha of land were inundated in the area of interest. By using WorldPop data, we estimate that at least 12,000 people are potentially affected or living close to the flooded area. This corresponds to about 7% of the population living in the area of interest. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

**UNOSAT code: FL20191030SOM** This map illustrates the extent of surface waters detected over Hiraan, Middle Shabelle and Lower Shabelle Region in Somalia as detect by VIIRS-NOAA satellite between 2 & 6 November 2019. In the analysed area, a total of about 830 km2 are likely flooded and about 74,000 people might be exposed by taking into account WorldPop population estimates. About 10 km of the roads seem to be affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected flood water extent in the district of Jilib, Middle Juba, Somalia. The analysis was conducted analyzing Sentinel-1 images acquired on the 1 May 2018. As observed from the satellite imagery, a total of 92,000 ha of land were inundated in the area of interest. The most affected districts are Saakow, with almost 38,000 ha of flooded land and southern Diinsoor, with almost 27,000 ha. At least 20 settlements are potentially located within the flooded area. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR UNOSAT.

**UNOSAT code: FL20191030SOM** This map illustrates satellite-detected surface water in Beled Weyne District, Hiraan Region in Somalia analyzed with Sentinel-1 imagery acquired on 30 October 2019. Within the analysed extent of about 2,500 km2, a total of about 155 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important note: Flood analysis based on Sentinel-1 imagery may significantly underestimate the presence of standing floodwater in dense built-up areas due to backscattering of the radar signal.