Sudan GIS data
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**UNOSAT code: FL20240826SDN, GDACS ID: 1102854** This map illustrates satellite-detected water extents Khartoum, White Nile, Aj Jazirah and Sennar States, Sudan as observed from a Sentinel-2 image acquired on 8 September 2024 at 08:06 UTC. Within the analysed area of about 80,000 km², a total of about 6,500 km² of land appears to be affected by floodwaters. Based on Worldpop population data and the flood extent, approximately 800,000 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 the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20240826SDN, GDACS ID: 1102854** This map illustrates satellite-detected water extents in Kassala and River Nile States, Sudan as observed from Sentinel-2 image acquired on 3 and 5 September 2024. Within the analysed area of about 100,000 km², a total of about 2,500 km² of land appears to be affected by floodwaters. Based on Worldpop population data and the flood extent, approximately 39,000 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 the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20240924SDN** This map illustrates satellite-detected water extent in El Geneina Department, West Darfur State, Sudan as observed from a Pléiades image acquired on 25 September 2024 at 11:46 local time. Within the cloud free analysed area of about 20,000ha, a total of about 8050ha of lands appear to be affected with flood waters. 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: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 4 September 2021 over the Guli District, White Nile State of Sudan. In this area, about 80 km2 of croplands appear to be likely affected by the flood waters. 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: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Guli District, White Nile State of Sudan. The water extent appears to have decreased of about 70 km2 since 14 September 2021. In this area, about 36 km2 of croplands appear to be likely affected by the flood waters. 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: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a satellite Kanopus-V image acquired on 22 September 2021 over Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 230 km2 since 12 September 2021. In this area, about 64 km2 of croplands appear to be likely affected by the flood waters. 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: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 19 September 2021 over the Aj Jabalain District, White Nile State of Sudan. The water extent appears to have decreased of about 100 km2 since 14 September 2021. In this area, about 124 km2 of croplands appear to be likely affected by the flood waters. 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: FL20241224SDN** This map illustrates the satellite-detected water extent in White Nile State, Sudan, as observed from a Sentinel-2 satellite image acquired on 1 January 2025 at 10:13 local time (08:13 UTC). Within the analyzed area of approximately 24,000 km², about 145 km² of land appears to be affected by floodwaters. Floodwater extent seems to have increased by about 5 km² compared to 27 December 2024. Based on WorldPop population data and the flood extent, approximately 63,000 people are potentially exposed or living close to the flooded areas. 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: FL20241224SDN** This map illustrates the satellite-detected water extent in Khartoum and White Nile States, Sudan, as observed from a Sentinel-2 satellite image acquired on 1 January 2025 at 10:13 local time (08:13 UTC). Within the analyzed area of approximately 24,000 km², about 145 km² of land appears to be affected by floodwaters. Floodwater extent seems to have increased by about 5 km² compared to 27 December 2024. Based on WorldPop population data and the flood extent, approximately 63,000 people are potentially exposed or living close to the flooded areas. 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).
A 100 m spatial resolution geotiff of walking travel time in seconds to nearest health facility in Sudan. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming walking speeds on all roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all
A 100 m spatial resolution geotiff of motorised travel time in seconds to nearest health facility in Sudan. The data was generated using the Child Poverty and Access to Services (CPAS) software (10.5281/zenodo.4638563) and was created as part of the CPAS project within the Data for Children Collaborative. The travel time is calculated assuming driving speeds of local public transport options on all-weather roads/asphalt roads and walking speeds on all other roads, tracks, paths and land cover types. A full description is available here a video description of the data is also available here Projection system is: GCS_WGS_1984 EPSG 4326 for all
**UNOSAT code: FL20210907SDN** This map illustrates satellite detected waters and the related potentially affected croplands as deduced using a Sentinel-2 satellite image acquired on 14 September 2021 over the Aj Jabalain District, White Nile State of Sudan. In this area, about 165 km2 of croplands appear to be likely affected by the flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)
Sudan Current Situation FEWS NET Acute Food Insecurity Classifications Geographic data for 2021
This dataset provides detailed information on road surfaces from OpenStreetMap (OSM), distinguishing between **paved** and **unpaved** roads across the region. Surface classification is derived using a hybrid deep learning approach. For methodological details, see: http://arxiv.org/abs/2410.19874 Recently, we also published a new country-level dataset based on PlanetScope satellite imagery with near-complete coverage of all arterial roads. It is available on HDX under the name Sudan **Planet** Road Surface. The corresponding paper is available at: https://arxiv.org/abs/2512.04092 Road Surface Statistics Approximately 0.5012 million km of roads are mapped in OSM in this region. Based on AI-derived estimates: - Paved roads: 0.0187 million km (3.7267%) - Unpaved roads: 0.2951 million km (58.8722%) About 0.1875 million km (37.4011%) of road surface information is missing in OSM. To reduce this gap, the Mapillary-derived road surface dataset provides an additional 0.0 million km (0.0192%) of the missing surface information. Intended Use This dataset supports transportation planning, infrastructure analysis, climate emissions assessment, and GIS applications. AI Features - **pred_class**: Model-predicted surface class ("paved" or "unpaved") - **pred_label**: Binary label (0 = paved, 1 = unpaved) - **osm_surface_class**: Surface classification derived from OSM tags - **combined_surface_osm_priority**: Combined classification prioritizing OSM - **combined_surface_DL_priority**: Combined classification prioritizing DL prediction - **n_of_predictions_used**: Number of predictions used for estimation - **predicted_length**: Predicted length based on DL estimation (meters) - **DL_mean_timestamp**: Mean timestamp of predictions used OSM Attributes - **name** - **name:en** - **name:* (local language)** - **highway** - **surface** - **smoothness** - **width** - **lanes** - **oneway** - **bridge** - **layer** - **source** Urban Classification Attributes - **continent** - **country_iso_a2** - **urban** (0 = rural, 1 = urban) - **urban_area** - **osm_id** - **osm_type** Data Sources The dataset originates from OpenStreetMap (OSM) and is augmented with deep learning predictions based on Mapillary street-level imagery, combined with the GHSU Global Human Settlement Urban Layer 2019 and AFRICAPOLIS 2020 urban layer. More HeiGIT datasets: https://data.humdata.org/organization/heidelberg-institute-for-geoinformation-technology More information: https://heigit.org/ Contact: communications@heigit.org
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The Microsoft Excel spreadsheet contains XY coordinates (in Decimal Degrees) of all the localities in Darfur, Sudan.
The zipped shape file contains point data on Blue Nile State Nutrition Feeding Centers in Sudan
The zipped shape file contains data on Nutrition Feeding Centers in Central Darfur, Sudan.
The zipped shape-file contains point data on the location of nutrition feeding centers in East Darfur State, Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in Gedaref State, Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in Kassala State, Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in Khartoum, Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in North Darfur State, Republic of the Sudan in 2014. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-files contain point data on the location of nutrition feeding centers in the different states of the Republic of the Sudan. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in Red Sea State, Republic of the Sudan in 2014. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in Sennar State, Republic of the Sudan in 2014. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in South Darfur State, Republic of the Sudan in 2014. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in South Kordofan State, Republic of the Sudan in 2014. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.
The zipped shape-file contains point data on the location of nutrition feeding centers in West Kordofan State, Republic of the Sudan in 2014. The data was obtained from UNICEF Sudan, through UNDP Sudan. Updated data will be uploaded when it gets available.